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Job Title Medical Laboratory Scientist/Cert/UKHC Requisition Number RE47590 Working Title Medical Laboratory Scientist - Certified (Core Lab) Department Name H3200:Laboratory Services Work Location Lexington, KY Grade Level 11 Salary Range $26.00-45.70/hour Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: <a href="https://hr.uky.edu/employment/working-uk/equivalencies" target="_blank">https://hr.uky.edu/employment/working-uk/equivalencies</a> Required Related Experience No experience required. Required License/Registration/Certification American Society for Clinical Pathology (ASCP) certification must be obtained within 6 months from date of hire Physical Requirements This position will require the ability to stand and walk for long periods of time as well occasionally standing or walking with objects up to 10 pounds and push/pull objects over 50 pounds. Sitting at computer workstations for extended periods, along with repetitive motion. Shift Three 12-hr shifts per week. Night Shift 7:00PM – 7:00AM including rotating weekends and holidays. May include call based on needs of department. Job Summary The Medical Laboratory Scientist/Certified will be responsible for performing clinical laboratory testing in a fast-paced academic medical center. The Laboratory provides services to all aspects of this Level I trauma center and throughout the healthcare enterprise, including solid organ and bone marrow transplant, KY Children’s Hospital, and Markey Cancer Center. This position will be instrumental in maintaining a quality of service based on accuracy and timely result reporting. This position will be located in the Core Lab, and testing will include, but is not limited to, blood gas, chemistry, coagulation, hematology, and urinalysis. The Core Lab has multiple testing sites within the organization: Chandler, Good Samaritan, ED Satellite and Markey Satellite. The CAP-Accredited Laboratory at the University of Kentucky showcases the use of state-of-the-art instrumentation and technology. In addition, this diverse department provides services to all aspects of the University of Kentucky’s Level I trauma center and throughout the healthcare enterprise, including KY Children’s Hospital, and Markey Cancer Center. The starting pay for this position was recently adjusted with the minimum hourly rate set at $27.00/hour. All pay rates will be based on candidate’s experience. The Laboratory Services department has a variety of specialties and areas. For more information about any of our job openings, contact Jeff Bush, Enterprise Director at <a href="mailto:Jeffery.Bush1@uky.edu" target="_blank">Jeffery.Bush1@uky.edu</a> IMPORTANT: Resumes and CVs cannot be substituted for a completed application. Incomplete applications could disqualify you from being considered for this position. To be considered for this position you must fully complete the online application being sure to only put one (1) job title for each entry (multiple job titles for one employer must have separate entries), the # of hours worked per week and your ending salary. All job titles and dates must correspond with those appearing on your resume Skills / Knowledge / Abilities Exceptional customer service, excellent technical &amp; troubleshooting skills, detail oriented, and collaboration skills with different positions across the organization. Other skills include Microsoft Office knowledge &amp; proficient writing ability, hospital electronic systems, knowledge of medical terminology, and ability to work independently as well as being team oriented. Does this position have supervisory responsibilities? No Preferred Education/Experience BS-MLS Preferred. Deadline to Apply 11/25/2024 Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors the University of Kentucky is a Tobacco &amp; Drug Free campus. As an Equal Opportunity Employer, we strongly encourage veterans, individuals with disabilities, women, and all minorities to consider our employment opportunities. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

Medical Laboratory Scientist/Cert/UKHC

Job Title Geologist I Requisition Number RE46639 Working Title Field Geologist Department Name 40520:KY Geological Survey Work Location Lexington, KY Grade Level 42 Salary Range $36,213-57,970/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: <a href="https://hr.uky.edu/employment/working-uk/equivalencies" target="_blank">https://hr.uky.edu/employment/working-uk/equivalencies</a> Required Related Experience No experience required. Required License/Registration/Certification None Physical Requirements Standing and/or sitting for long periods of time. Able to lift and carry equipment up to 50 lbs. Ability to navigate uneven terrain independently. Shift Monday-Friday 8:00 am to 5:00 pm. Field work with overnight travel is required. Job Summary The Kentucky Geological Survey (KGS), a publicly supported research center within the University of Kentucky (UK), is recruiting two Geologist I personnel. These positions will be involved in the important effort to help Kentucky abate methane emissions and identify orphaned wells that pose other environmental hazards. Key position responsibilities include field work to collect methane concentration measurements from orphaned oil and gas wells, examine gas samples collected, and database entry of measurements. The person in this position should be comfortable working in a team and safely in a field setting including driving long distances and overnight travel. As a representative of the Kentucky Geological Survey and the University of Kentucky, the person should be comfortable collaborating with outside contractors and staff from the KY Division of Oil and Gas. Experience with Excel data compilation is required. ArcGIS and Google Earth experience skills, and at least five years of a state issued driver’s license are preferred. Attention to detail, safety, courtesy and communication are a must. This exempt position is grant funded for two-years with all UK benefits and reimbursable travel expenses. This position will report to the the KGS main UK campus location. Multiple positions available. Review of applications will begin immediately, and applications will be accepted until the deadline date or until all positions are filled which could be prior to deadline date listed. Skills / Knowledge / Abilities MS Office Suite, Experience in MS Access Does this position have supervisory responsibilities? No Preferred Education/Experience Geology degree preferred. Driver’s license preferred. Deadline to Apply 11/25/2024 Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors the University of Kentucky is a Tobacco &amp; Drug Free campus. As an Equal Opportunity Employer, we strongly encourage veterans, individuals with disabilities, women, and all minorities to consider our employment opportunities. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

Geologist I

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.Our industry is rapidly evolving, and we need courageous, quick thinkers who can shape the strategic decisions that lead our business forward. Whether it’s negotiating with some of our largest global partners or creating next year’s financial plan, you can influence both our day-to-day P&amp;L and the future direction of the company. As part of the team, you can have the opportunity to learn and use the latest data tools and technologies and explore a range of roles to grow your career. Find your place in finance on #TeamAmex.Organization:The Finance Data Science and Analytics (FDS&amp;A) organization partners across the enterprise to drive analyses and forecasts for key metrics and investment decisions.The team leverages the latest modelling and analytics techniques to provide insights on both current and future performance. Description:This Manager-level position is an opportunity to drive innovation at American Express by supporting our Generative AI workstreams for Finance. Working with the Gen AI Product Owner, this role will drive the ideation, development, and implementation of next-generation AI solutions. Working in a whitespace environment this position will partner closely with both Technologies and end users to launch new capabilities and play a critical role in translating business requirements into strategic AI solutions for our state-of-the-art use cases. This is a high-visibility role which affords the opportunity to shape the strategy for cutting-edge Generative AI capabilities in Finance. The manager will focus on cross-functional collaboration and ideation of new and novel concepts in this rapidly evolving domain and should expect frequent exposure to senior leaders across Finance, Technology, Risk other adjacent organizations.Based in the Amex Tower in New York City, this hybrid position promises a stimulating blend of strategic influence and hands-on innovation.Responsibilities:·Develop, build, and scale Finance next generation AI solutions ·Stay on top of the latest developments and innovations in the Gen AI space, including industry trends, best practices and new product / capability launches from third-parties·Serve as the bridge between business stakeholders and technical teams, translating business requirements into technical specifications and user stories for AI-driven product features and enhancements·Partner with Gen AI PMO to own the end-to-end product lifecycle for AI initiatives in Finance, from ideation and conceptualization to implementation ·Utilize agile tools and techniques to drive successful delivery, including writing features and user stories·Partner with PMO to develop and report on tracking KPIs and outcomes from the use cases with on-going monitoring mechanismsQualifications:·Comfort thriving in whitespace/greenfield role where there is an obligation to innovate and continuously drive new ideas independently·Desire to thought partner to develop and implement transformative tools and capabilities·Passion for learning about emerging technologies in the Gen AI space with a focus on applicability to use cases in the Finance organization·Demonstrated experience communicating technical concepts to non-technical audiences and vice-versa, bridging the gap between academic outputs and real-world applications·Understanding of AI technologies, including machine learning, natural language processing, large language models and generative AI·Excellent communication skills to effectively communicate with stakeholders across levels the Enterprise·Experience with at least one programming language such as python·B.S. / M.S. or Ph.D. in a quantitative field [e.g., Applied Mathematics, Physics, Engineering, Computer Science] strongly preferred·Familiarity with Agile and Scrum methodologies preferredSalary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

American Express

Manager-Data Science

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.Our industry is rapidly evolving, and we need courageous, quick thinkers who can shape the strategic decisions that lead our business forward. Whether it’s negotiating with some of our largest global partners or creating next year’s financial plan, you can influence both our day-to-day P&amp;L and the future direction of the company. As part of the team, you can have the opportunity to learn and use the latest data tools and technologies and explore a range of roles to grow your career. Find your place in finance on #TeamAmex.Finance Decision Science (FDS) team’s focus is to build predictive models grounded in data and leverage Machine Learning techniques to add stability and predictability to the AXP P&amp;L. FDS team’s goal is to help the organization make fact-based and scientifically developed decisions around risk and opportunities. In order to do so, Finance Decision Scientists work closely with other teams in Finance, Business and Risk.This position will be part of a highly talented team with strong intellectual curiosity. Our team is excited about solving business problems through data and technology.Responsibilities include:Lead a team of highly talented individuals to:<ul><li>Deliver Strategic Analytics &amp; Insights focused on spend and lend across the markets - often in a white space environment</li><li>Lead the R&amp;D to support Enterprise Spend/Lend forecast models and planning</li><li>Deepen partnerships with other Finance, Marketing &amp; Risk teams</li><li>Lead Model documentation and partner with Model Validation team to ensure compliance with AEMP55</li><li>Invest in developing the Infrastructure to enhance data quality, reporting tools and deliver operational efficiency</li><li>Experience leading decision science teams with strong knowledge of card economics</li><li>Significant hands-on experience managing/ leading projects using large amounts of data and application of advanced predictive analytics</li></ul>Minimum Qualifications:<ul><li>BS/MS or PhD in a quantitative field - Applied Mathematics, Physics, Engineering, Computer Science, Statistics, Economics&nbsp;</li><li>Proficiency in SQL, Hive, Python, Machine Learning Techniques is required</li><li>Highly motivated individual with desire to work on ambiguous projects, with the ability to break down and execute on complex ideas</li><li>Be data-driven, outcome-focused and fast learner</li><li>Strong analytical, organizational, and problem-solving skills with good attention to detail</li><li>Ability to influence people across all levels of the organization</li><li>Ability to explain complex mathematical concepts</li><li>Ability to solve ad-hoc business problems independently and manage multiple priorities and projects while adhering to deadlines</li></ul>Preferred Qualifications:<ul><li>People leadership experience</li><li>Experience in big data and PySpark&nbsp;</li><li>Power BI or other visualization tools experience is strongly preferred</li></ul>Considerations for sponsorship:Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws,American Express may provide visa sponsorship for certain positions.Salary Range: $150,000.00 to $225,000.00 annually + bonus + equity (if applicable) + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.

Director - Analytics & Data Science

<h4>Introduction</h4> Are you interested in advancing digital equity? This role offers the opportunity to directly support underserved communities by improving internet access in municipalities across the state. You’ll work closely with stakeholders to identify multi-family buildings that qualify for broadband upgrades, ensuring that more residents can benefit from online services like telehealth and remote education. By informing stakeholders about grant opportunities, collecting key data, and engaging with property owners, you'll help bridge the digital divide. The State of Connecticut, Department of Energy and Environmental Protection (DEEP), currently has an opening for a Seasonal Resource Assistant in the Bureau of Energy and Technology Policy unit based in New Britain, Connecticut. The Bureau of Energy and Technology Policy (BETP) is charged with developing policies and programs to mitigate and adapt to the impacts of climate change; conserve, improve and protect Connecticut’s natural resources and environment; and provide equitable access to broadband and affordable, clean and reliable energy to the people and businesses of the state. The selected candidate will support the Bureau’s Office of Telecommunications and Broadband in the implementation of the ConneCTed Communities broadband infrastructure grant program which in part seeks to improve residents' access to fast, affordable, and reliable broadband by upgrading deficient wiring and infrastructure in Multi-Dwelling Units (MDUs). The tasks assigned to the selected candidate may vary based on their background, skills, and expertise, while also providing opportunities to gain experience in a variety of areas. This hybrid position is up to 40 hours per week; 1,040 hours or 12 months maximum in duration. Responsibilities include: <ul><li>Informing municipalities about the broadband grant program, highlight its goal of enhancing broadband services, describe program benefits, eligibility criteria, and the application process;</li><li>Identifying and reaching out to relevant municipal contacts, such as city planners, housing departments, and economic development officials who can help identify qualifying MDUs in their jurisdictions;</li><li>Working with municipalities to help identify MDUs that meet the program’s eligibility criteria;</li><li>Working with partner agency staff and contacts to identify MDUs through existing contacts and methodologies;</li><li>Collecting data to support MDUs’ classification as ‘underserved’ locations by utilizing data sources and methods permissible in the program’s application guidance;</li><li>Bringing awareness to the online MDU survey posted on DEEP’s website which collects detailed information about MDUs that could benefit from upgrades, including property addresses, current broadband status, and property ownership details;</li><li>Engaging with property owners to inform them about the program and seek their consent to participate in the broadband infrastructure upgrades;</li><li>Contributing to other program outreach and stakeholder engagement activities;</li><li>Assisting in the preparation of materials, documents and reports regarding program activities;</li><li>Performing related duties as required.</li></ul> <h4>Selection Plan</h4> 1. Complete a Master Application and directly apply to this recruitment. 2. Ensure that your application is complete. You will be unable to make revisions once you officially submit your application to the State of Connecticut. 3. Regularly check your email for notifications (be sure to check your SPAM and/or Junk folders, as emails could end up there in error). 4. For questions about the position, please contact Kevin Pisacich&nbsp;at <a href="mailto:Kevin.Pisacich@ct.gov" target="_blank">Kevin.Pisacich@ct.gov</a>. <h4>PURPOSE OF JOB CLASS (NATURE OF WORK)</h4> In the Department of Energy and Environmental Protection, as a limited duration employee, performs one or more of a variety of tasks and assigned duties of a seasonal nature. <h4>EXAMPLES OF DUTIES</h4><h4>KNOWLEDGE, SKILL AND ABILITY</h4> Ability to follow instructions. <h4>PREFERRED QUALIFICATIONS</h4> <ul><li>Experience communicating to internal and external stakeholders;</li><li>Experience working within a team to develop and complete a project;</li><li>Experience using Microsoft Office 365 applications;</li><li>Experience conducting research or analysis;</li><li>Experience developing technical reports;</li><li>Experience or coursework in any one of the following: energy or utility policy or program implementation, renewable energy, energy infrastructure, energy efficiency, building decarbonization, transportation decarbonization, affordable housing development, broadband or telecommunications infrastructure, climate mitigation, or environmental science, economics, finance, or public policy.</li></ul> <h4>SPECIAL REQUIREMENTS</h4> <ul><li>Incumbents in this class who are assigned as supervisors of small recreational units will perform emergency first aid as needed and will be required to obtain and retain a Basic First Aid Certificate.&nbsp;</li><li>Incumbents in this class may be required for certain positions to meet any of the following: <ul><li>Proof of possession of a valid Motor Vehicle Operator license.&nbsp;</li><li>Possession of a valid license to apply pesticides.&nbsp;</li><li>College training in a specific field.&nbsp;</li><li>Emergency Medical Technician (EMT) certification may be required by specific State facilities.&nbsp;</li></ul></li><li>Incumbents performing lifeguard services must have and retain an American Red Cross (ARC) Lifeguarding Certification (includes CPR for the Professional Rescuer and Basic First Aid). An EMT or MRT certification may be substituted for the CPR and First Aid requirements.</li></ul> <h4>PHYSICAL REQUIREMENTS</h4> <ul><li>Incumbents in this class must possess and maintain adequate physical strength and stamina to perform the duties of the class.</li><li>Incumbents performing lifeguard services must be able to demonstrate American Red Cross (ARC) waterfront lifeguarding swimming skills.</li></ul> <h4>Conclusion</h4> AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER The State of Connecticut is an equal opportunity/affirmative action employer and strongly encourages the applications of women, minorities, and persons with disabilities. <h4>ACKNOWLEDGEMENT</h4> As defined by Sec. 5-196 of the Connecticut General Statutes, a job class is a position or group of positions that share general characteristics and are categorized under a single title for administrative purposes. As such, a job class is not meant to be all-inclusive of every task and/or responsibility.

State of Connecticut

Environmental Protection Seasonal Resource Assistant

Job Title Agriculture Extension Associate Requisition Number RE48174 Working Title Agriculture Extension Associate - Horticulture Department Name 81110:Horticulture Work Location Lexington, KY Grade Level 42 Salary Range $17.41-27.87/hour Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: <a href="https://hr.uky.edu/employment/working-uk/equivalencies" target="_blank">https://hr.uky.edu/employment/working-uk/equivalencies</a> Required Related Experience No experience required. Required License/Registration/Certification None. Physical Requirements Job-related travel, exposure to extreme heat/weather conditions, sitting and/or standing for long periods of time; and effectively communicating with individuals from diverse backgrounds. Shift Monday – Friday; 8:00 am – 5:00 pm; and additional hours may be required at times. Job Summary The Martin-Gatton College of Agriculture, Food and Environment Department of Horticulture seeks an Agriculture Extension Associate. This person will design, develop and deliver educational programs and resource materials in horticulture crop production and marketing in concert with collaborating faculty as part of the team of Extension Associates funded by the Kentucky Horticulture Council grant. Skills / Knowledge / Abilities A working knowledge of general farm production practices and equipment. Computer skills for data entry and report generation are desirable. Does this position have supervisory responsibilities? No Preferred Education/Experience Horticulture production and/or marketing expertise through formal education and experience Possess skills in data assimilation and presentation for various electronic avenues Demonstrated ability to communicate with a wide variety of audiences Experience in developing and/or providing high-quality, successful educational programs Experience in writing and/or executing grant-funded projects Deadline to Apply 12/01/2024 Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors the University of Kentucky is a Tobacco &amp; Drug Free campus. As an Equal Opportunity Employer, we strongly encourage veterans, individuals with disabilities, women, and all minorities to consider our employment opportunities. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

Agriculture Extension Associate

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives.&nbsp; Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems.&nbsp; Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source.&nbsp; And because we understand the importance of keeping your skill fresh and relevant, we give you dedicated time to invest in your professional development.&nbsp; Find your place in technology on #TeamAmex.&nbsp;&nbsp;Let’s share success.Global Infrastructure Product Services aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost transparency.&nbsp;As the Data Science team in Global Infrastructure Product Services embarks on building and deploying advanced data science and machine learning (ML) models, we are looking for a senior data scientist to build, deploy and monitor models in production.&nbsp; This is an individual contributor role with responsibilities ranging from hands-on coding, debugging, documentation to stakeholder management and presentations.A successful data scientist knows that delivering on that promise takes foresight, planning and agility.&nbsp; We are seeking data scientists who are not only technically adept, but also understand the importance of harnessing the power of data to streamline financial operations, enhance decision-making and improve business outcomes.&nbsp;This team is focused on developing and maintaining dynamic technology infrastructure cost allocation and production models. The financial forecasting models will help ensure that our technology spending is transparent, efficient, and properly aligned with our strategic objectives. The role requires a blend of technical prowess in data engineering, data science, MLOps, and an understanding of enterprise infrastructure components &amp; their economics.Let’s build on what you know.If you are a pioneer in developing and continuously evolving data science models in production that drive and monitor infrastructure and cost consumption analysis, you'll find a fit in our Data Science team in Global Infrastructure Product Services. To succeed in this newly forming team, you’ll need to be comfortable navigating ambiguity to stand up solutions 0à1 while discovering and leveraging enterprise platforms and best practices.&nbsp;Here’s just some of what you’ll do:<ul><li>Design and build scalable solutions using AI and Machine Learning (Generative AI, Natural Language Processing, Reinforcement Learning, and Time Series predictions) in financial forecasting and optimizing infrastructure resource utilization to help further mature our FinOps and AIOps framework</li><li>Own the model building and refining from identifying business problems, collecting training dataset, analyzing data, modeling, validating to delivering production grade solutions at scale.</li><li>Drive high-level and detailed technical design conversations and reviews</li><li>Be responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration</li><li>Work closely with stakeholders across Technology, Finance and business unit portfolio leaders to define scope, requirements and incorporate cost drivers, allocation methods, and infrastructure nuances</li><li>Ensure best practices are aligned with Enterprise Architecture and ML COEs</li><li>Develop SQL queries, scripts and routines to automate data processing and enhance the model’s accuracy and efficiency</li><li>Generate insightful data visualization and reports to aid in decision-making</li><li>Lead training sessions and create comprehensive documentation to empower end users to leverage the cost model effectively </li><li>Provide technical mentorship to team members at junior levels</li><li>Function as an active member of an agile team </li></ul>Are you up for the challenge?&nbsp; Here’s what you should have:<ul><li>Master’s degree in Data Science, Mathematics, Computer Science, Engineering, Information Systems, or related STEM fields. </li><li>3+ years full lifecycle product development and engineering leadership in highly available, highly scalable, and high throughput systems</li><li>Demonstrated experience in building and owning data science solutions and pipelines within the MLOps ecosystem in at least 2 of the 3 major cloud platforms (Vertex AI, Azure Machine Learning, AWS Sagemaker). </li><li>Experience in automating, troubleshooting and upgrading data &amp; machine learning pipelines that allow model retraining and continuous monitoring</li><li>Hands-on expertise with handling distributed (multi-tiered) systems and automated testing – unit and performance testing</li><li>Demonstrated experience in building and deploying a diverse set of Machine Learning (GLM, GBM, Neural Networks) and NLP solutions at scale </li><li>Proficiency and Hands-on Experience with Git, CI/CD tools, Elasticsearch, and a solution in each category: Orchestration, Container, Model Serving, Observability, and Feature Store</li><li>Strong proficiency in programming with Python, Machine Learning libraries and APIs (TensorFlow, Keras, PyTorch, ScikitLearn, H20.ai, XGBoost)</li><li>Experience in deploying out-of-the box LLMs and Generative AI solutions.</li><li>Experience in data visualization and observability with a focus on real time serving and monitoring of time series data with alerts</li><li>Thorough understanding of enterprise infrastructure technologies (Compute, Storage, Network, Mainframe) to inform model development</li><li>Strong project management skills and effective stakeholder management skills, coupled with a continuous improvement mindset</li><li>Excellent presentation and communication skills, capable of explaining complex technical choices in simple terms to a diverse audience</li><li>Experience in Financial Services industry is preferred</li></ul>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Senior Data Scientist

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you’re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in risk and analytics on #TeamAmex.How will you make an impact in this role?Model Risk Management Group (MRMG) within Global Risk Banking and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.Purpose of the Role:The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models. &nbsp;This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.The specific responsibilities include: &nbsp;<ul><li>Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types.</li><li>Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened&nbsp; regulatory standards</li><li>Conduct AI/ML research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact&nbsp; </li><li>Communicating results to partners, senior leadership and various model committees</li></ul>Critical Factors to Success:1. Business Outcomes:<ul><li>Drive billing, revenue growth and profitability through advanced analytical techniques</li><li>Maximize business returns by institutionalizing efficient and accurate models.</li><li>Innovate modeling techniques and variable creation</li><li>Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning</li></ul>2. Leadership Outcomes:<ul><li>Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues &amp; shareholders.</li><li>Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings</li><li>Demonstrate learning agility, make decisions quickly and with the highest level of integrity</li><li>Lead with a digital mindset and deliver the world’s best customer experiences every day</li></ul>Past Experience:<ul><li>Preferred 4+ years experience in analytics or big data workstreams</li></ul>Academic Background:<ul><li>MBA, Master’s Degree In Economics, Statistics Or Related Fields From Top Tier Institute</li></ul>Functional Skills/Capabilities:<ul><li>Hands-on model development or validation experience.</li><li>Experience with NLP / NLU model and chatbot frameworks would be preferred.</li><li>Strong Analytical and Relationship and project management skills for driving validation initiatives.</li><li>Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.</li><li>Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.</li><li>Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.</li><li>Effectively communicating complex Analytical results to Business Partners and Senior Management.</li><li>Flexibility and Adaptability to Work Within tight deadlines and changing priorities.</li></ul> Technical Skills/Capabilities:<ul><li>Experience with at least one of the data manipulation tools such as R, JAVA, SQL and SAS is a must have</li></ul>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.

Senior Manager-Data Science

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our&nbsp;company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.The Analytics and Investment Management (AIM) team – a part of Global Commercial Services Marketing Organization – is the analytical engine that enables the Global Commercial business.AIM is responsible for targeting, acquiring, engaging, and retaining commercial customers over online and offline channels and delivering world-class analytics, insights and data products for the Global Commercial Services (GCS). In this role, the incumbent will be part of Site – Prospect Digital Analytics team within AIM.&nbsp;How will you make an impact in this role?She/He will own end-to-end analytics required for driving, targeting &amp; personalization strategies across one of the key acquisition channels for Amex US Commercial Card Business i.e. Amex Site.&nbsp;<ul><li>Own the various phases of data science &amp; analytical solutions from identifying business problems, crafting ML based solutions, socializing proposed architecture with partners, implementing solutions, tracking results, and presenting to senior leaders.</li><li>Crafting data segmentation &amp; optimization strategies for targeting profitable prospects with the right product/incentive in the Commercial Digital channels.</li><li>Collaborate with Marketing teams on various initiatives including setting goals for the channel / influencing data-driven strategy changes / introducing personalization etc.</li><li>Collaborate with Decision Science and Capabilities to manage, guide and build analytical solutions to improve targeting efficiency in Commercial Digital channels.</li><li>Identify emerging trends across digital marketing landscape, identify impact on business from external changes, design innovative solutions to position Amex for success.</li></ul>Minimum Qualifications<ul><li>Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science or Economics) is required.</li><li>Experience in large data processing and handling, deep understanding in data science&nbsp;XGBoost, decision trees, regression modeling, etc.&nbsp;</li><li>Ability to work in a dynamic, cross-functional environment, with a strong attention to detail.</li><li>Excellent communication skills with the ability to engage, influence, and encourage partners and team members to drive collaboration and alignment</li><li>Strong analytical/conceptual thinking acumen to address unstructured and sophisticated business problems and articulate key findings to senior leaders/collaborators in a succinct and concise manner</li></ul>Preferred Qualifications<ul><li>Knowledge of digital technologies like cookies, search engine optimization, digital personalization, digital AB testing, digital footprint mechanisms, web-serving platforms etc. is a plus.</li><li>Strong Programming skills are preferred. Experience with Big Data programming Languages (Hive, Spark), Python, R is a plus.</li></ul>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.&nbsp;We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees -&nbsp;Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.

Senior Manager - Data Science

15-Nov-2024<h4>Bio-Soft Lithography Scientist</h4>Faculty of Arts and Sciences 67413BRPosition DescriptionThe Center for Nanoscale Systems (CNS) at Harvard University seeks an enthusiastic, scientifically curious individual with a strong growth mindset to work within the Imaging and Analysis Group as a Scientist focused primarily on teaching and supporting researchers about microfluidic device fabrication and cell culture techniques.&nbsp;CNS is an open, shared-use facility that serves all of Harvard as well as external academic and industrial users. CNS typically supports more than 1,700 users annually.<ul><li>Working under the supervision of the Imaging and Analysis Facility Manager, and in coordination with the other Imaging and Analysis staff at CNS, this person will assist in the day-to-day operation of the soft lithography fabrication laboratory at the Science and Engineering Complex in Allston, MA the soft lithography fabrication laboratory and the cell culture laboratory both in the Laboratory for Science and Engineering Cambridge, MA.</li><li>Day to day operations of these labs include teaching users safe and correct tool operation and working with users on experimental design, device design, sample preparation, data analysis, and data interpretation.</li><li>This person will also be responsible for overseeing CNS’s compliance with Harvard and government safety laws and regulations. Their duties include coordinating with the CNS safety officer to identify potential risks, implementing policies and procedures to uphold safety regulations and monitoring their workplace for adherence to those policies and procedures.</li><li>The candidate should be excited about teaching and assisting researchers in their scientific endeavors. The mission of this position is to enable and support other researchers' scientific and engineering endeavors. Strong teaching and interpersonal skills, e.g. approachability, patience, adaptability, confidence, ability to provide clear and concise explanations of complicated concepts, creativity, critical thinking, etc. are essential for this position.</li><li>There is also a fair component of equipment maintenance, equipment trouble shooting, and general shared use lab management in the day-to-day operations of these labs.</li><li>The candidate needs to be comfortable in a dynamic and fast paced environment assisting users on a wide variety of different types of projects from all across the range of biological and physical sciences. The candidate must have the willingness and the ability to quickly become an expert on a variety of topics. Being a science generalist is key to success in this position.</li><li>The incumbent will become resources for the CNS scientific community and must have strong written and verbal communication skills to convey information effectively and efficiently.</li><li>The candidate will also on occasion perform work for remote CNS users. Detailed record keeping of instrument activity, experimental results, maintenance, and repair logs, and authoring if standard operating procedures is expected.</li></ul>Basic Qualifications<ul><li>Bachelor’s degree in a scientific or engineering discipline and at least two years of relevant work experience; OR</li><li>A minimum of seven years of relevant work experience or equivalent combination of education and experience</li></ul>Additional Qualifications and Skills<ul><li>The candidate should be self-motivated and able to work independently with a strong desire to acquire on-the-job training, to succeed, and to develop intellectual and practical professional skills.</li><li>Excellent verbal and written skills required.</li><li>Demonstrated ability to work well in teams and with graduate and undergraduate students is essential.</li><li>The candidate must have significant experience in a variety of laboratory environments and be fully comfortable working in a lab environment on a wide variety of tools and projects. Expertise in microfluidic device design and fabrication.</li><li>Expertise in aseptic techniques for cell culturing.</li><li>Familiarity with rapid prototyping such as laser cutting and 3D printing.</li><li>Familiarity with safe handling of nanoparticles.</li><li>Familiarity with gas adsorption for surface area and porosity measurements, and chemisorption and dynamic adsorption studies for characterizing active surfaces.</li><li>Familiarity with fluorescence plate readers, dynamic light scattering (DLS) measurements, zeta potential measurements, freeze dryers, ball mills, stylus profilers, optical microscopes.</li></ul>Physical Requirements<ul><li>Must be able to work in an imaging facility, cleanroom, biological, chemical, and characterization laboratory environments.</li><li>Will work around compressed gases, cryogens, ovens, acids, bases, oxidizers, solvents, vacuum pump oils, and other chemicals. Must be very dexterous; may be required to work on large and small assemblies.</li><li>Ability to lift 50 lbs on occasion.</li></ul>Working ConditionsLaboratories (BL2, BL], cleanroom) and office setting.Additional InformationAll formal offers will be made by FAS Human ResourcesWork Format DetailsThis position is based primarily on-campus, in Massachusetts. This may include in-person during emergency situations (if applicable). Additional details will be discussed during the interview process. Certain visa types may limit work location. Individuals must meet work location sponsorship requirements prior to employment.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionResearch Department Office LocationUSA - MA - Cambridge Job CodeR1057P Research Core Scientist III Work FormatOn-Site Sub-UnitSciences Salary Grade057DepartmentCenter for Nanoscale SystemsUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningEducation, IdentitySchedule35 hours per weekCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KO1

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