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<h4>Overview</h4>LMI is seeking a skilledHealth Policy Data Scientist. At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.&nbsp;The successful applicant will become part of a team dedicated to policy, operations, and analytical support work for the Department of Health and Human Services (HHS), specifically the Centers for Medicare and Medicaid Services (CMS). A successful candidate will demonstrate competency in data analysis while upholding the highest standard of ethical behavior.&nbsp;<h4>Responsibilities</h4><ul><li>Analyze data and presenting results to a large general audience  &nbsp;</li></ul><ul><li>Proactively identify and walk clients through complex data and program operations specific concerns and downstream effects &nbsp;</li></ul><ul><li>Visually communicate data to CMS senior leadership on a consistent basis &nbsp;</li></ul><ul><li>Discuss policy implications and client needs with software developers to help develop an intuitive management system &nbsp;</li></ul><ul><li>Deliver on tight deadlines and effectively communicating with team members when additional support is needed &nbsp;</li></ul><ul><li>Commit to supporting cross-functional teamwork &nbsp;</li></ul><ul><li>Exemplify an outstanding client service ethic and a desire to consistently improve in an organization that is dedicated to excellence &nbsp;</li></ul><ul><li>Learn and apply relevant federal policy and regulations to data analysis &nbsp;</li></ul><ul><li>Understand complex and organization-specific datasets &nbsp;</li></ul><ul><li>Perform analyses to answer routine and ad hoc questions about program operations, health policy, system functionality and be able to explain the significance of those analyses to non-technical stakeholders &nbsp;</li></ul><ul><li>Utilize excellent interpersonal skills to interface directly with clients &nbsp;</li></ul><ul><li>Develop and improve standard operating procedures &nbsp;</li></ul><ul><li>Communicate with systems development experts to design tools and applications to automate the fulfillment of repeat requests &nbsp;</li></ul><ul><li>Demonstrate a strong commitment to excellence&nbsp;</li></ul><h4>Qualifications</h4>Required:&nbsp;<ul><li>Strong Microsoft Office (Excel, PPT) skills required. Applicant may be required to perform demonstration of Excel or analytical skills. &nbsp;</li></ul><ul><li>Experience in data analysis, data visualization and reporting. &nbsp;</li></ul><ul><li>Experience writing automated processes in Python, R or a similar language. &nbsp;</li></ul><ul><li>Superior communication and writing skills on technical subjects. Ability to provide narrative context of data analysis to a non-technical audience. &nbsp;</li></ul><ul><li>Ability to absorb large amounts of new technical and policy knowledge without a lot of guidance. &nbsp;</li></ul><ul><li>Strong interest in health policy. &nbsp;</li></ul><ul><li>Experience producing high quality analytical deliverables with both short-term (i.e., 1 hour) and longer-term (i.e., 1+ months) lead times. &nbsp;</li></ul><ul><li>Demonstrated commitment to delivering outstanding products and service that meet or exceed our client’s expectations. &nbsp;</li></ul>Desired: &nbsp;<ul><li>Master’s degree or higher &nbsp;</li></ul><ul><li>3-5 years’ experience in federal consulting. &nbsp;</li></ul><ul><li>3-5 years’ experience in data analysis, data visualization and reporting in client-facing role. &nbsp;</li></ul><ul><li>3-5 years’ experience writing automated processes in Python, R or a similar language. &nbsp;</li></ul><ul><li>Experience with Scrum and/or Agile methodology&nbsp;</li></ul><ul><li>Experience with audits, compliance, or monitoring. &nbsp;</li></ul><ul><li>Experience communicating business requirements to system development experts. &nbsp;</li></ul><h4> LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a> Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? </h4>We can recommend jobs specifically for you!Click here to get started.

LMI Consulting, LLC

Health Policy Data Scientist

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.

American Express

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

Harvard University FAS Human Resources

Bio-Soft Lithography Scientist

It’s inspiring to work with a company where people truly BELIEVE in what they’re doing! When you become part of the Chapters Health Team, you’ll realize it’s more than a job. It’s a mission. We’re committed to providing outstanding patient care and a high level of customer service in our communities every day. Our employees make all the difference in our success!The Housekeeper has day-to-day responsibility for ensuring the Hospice House is clean and sanitary. The Housekeeper properly cleans and sanitizes patients’ rooms, common areas, bathrooms, offices, and all other spaces, as assigned.Qualifications:<ul><li>A high school diploma or G.E.D. or an equivalent combination of education and experience</li><li>Prior related experience in hospital, hospice house, nursing home, and/or general cleaning experience</li><li>Must possess technical proficiencies in housekeeping functions</li><li>Strong interpersonal skills</li><li>Working knowledge of housekeeping industry standards and regulations</li><li>Skill in the use of and care for housekeeping equipment including, but not limited to, vacuum, dusters, chemical pumps, etc.</li><li>Must be able to read, write, and speak the English language conversationally</li><li>Ability to keep simple records and to follow simple step-by-step instructions</li><li>Ability working with detergents and other cleaning chemicals used for custodial work without adverse reactions</li><li>Ability to constantly lift, pull, carry, and/or push objects weighing up to 55 pounds</li><li>Ability to stand, kneel, walk, climb, crouch or bend for long periods of time</li><li>For secondary dietary role:&nbsp; skill in the use of and care for dietary equipment including, but not limited to, convection oven, steam kettle, large mixer, robot coupe, blenders, dish machine, etc.</li></ul>Responsibilities of all employees:<ul><li>Represent the Company professionally at all times through care delivered and/or services provided to all clients.</li><li>Comply with all State, federal and local government regulations, maintaining a strong position against fraud and abuse.</li><li>Comply with Company policies, procedures and standard practices.</li><li>Observe the Company's health, safety and security practices.</li><li>Maintain the confidentiality of patients, families, colleagues and other sensitive situations within the Company.</li><li>Use resources in a fiscally responsible manner.</li><li>Promote the Company through participation in community and professional organizations.</li><li>Participate proactively in improving performance at the organizational, departmental and individual levels.</li><li>Improve own professional knowledge and skill level.</li><li>Advance electronic media skills.</li><li>Support Company research and educational activities.</li><li>Share expertise with co-workers both formally and informally.</li><li>Participate in Quality Assessment and Performance Improvement activities as appropriate for the position.</li></ul>Competencies:<ul><li>Satisfactorily complete competency requirements for this position</li></ul>Job Responsibilities:<ul><li>Performs assigned housekeeping care at a single location/facility within a shift. &nbsp;Cleans various types of surfaces, floors, equipment, wall surfaces, wall hangings, linens and towels, beds and all components thereof, laminate wood, hardwood, TV stands and tables, radios, plastic and metal carts, etc.</li><li>Completes cleaning of common areas and each patient’s room/bathroom daily using infection control techniques.</li><li>Provides deep cleaning as scheduled.</li><li>Responsible for thoroughly cleaning all equipment used after each use.</li><li>Performs other duties as assigned.</li></ul>Secondary duties when assigned to Dietary:<ul><li>Prepares meals by warming, plating and garnishing.</li><li>Distributes meals and retrieve dishes.</li><li>Responsible for cleaning all equipment used thoroughly after each use.</li></ul>This position requires consent to drug and/or alcohol testing after a conditional offer of employment is made, as well as on-going compliance with the Drug-Free Workplace Policy.

Chapters Health System

Part Time - Environmental Services/Housekeeper - No Travel

<h4>Overview</h4>LMI seeks an experienced Operational Energy Resilience Analyst to support a current Federal client.&nbsp; LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in cloud technical solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research, modernization strategies, and cloud services. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.<h4>Responsibilities</h4><ul><li>Provide program management and analyses support to assist in the development of strategy, policy, plans and guidance related to a wide range of operational energy programs and initiatives.</li><li>Support oversight of the statutorily required energy Key Performance Parameter (KPP), review existing analyses associated with the energy KPP (e.g., Energy Supportability Analyses), review JCIDS documents (e.g., ICD, CDD) for alignment with operational needs and the requirements of the KPP, support certification of Energy KPP for joint interest programs, and support the assessment of Energy KPP waivers for USD(A&amp;S) decision (per 10 USC 2911 Note).</li><li>Provide expertise in acquisition decision-making and operational energy risks/mitigations to improve capability over lifecycles of systems already in acquisition. Assess the operational risks in Department acquisition portfolios resulting from degraded energy supportability and insufficient Joint energy logistics capacity.</li><li>Support the development and implementation of policy incorporating Operational Energy into requirements and acquisition decision-making.</li><li>Support oversight and review on the application of Operational Energy policy during the development and sustainment of system acquisition programs.</li><li>Assess how program documentation (e.g. acquisition strategy, operational energy analyses, lifecycle sustainment plans and risk and opportunity analysis) accounts for energy supportability in support of program decision points.</li></ul> <h4>Qualifications</h4><ul><li>Fifteen (15) + years of experience with five (5) + years of OSD/GCC/GFC/Service staff/Joint Staff experience</li><li>Degree: Masters, or ten (10) years of relevant work experience, with a major in Operational research/analysis, military sciences, engineering, scientific, or other technical degree; social sciences degree may be considered with comparable and appropriate professional experience.</li><li>Other: Experience in contingency basing; logistics; military operations and planning; experience in integrating basic utility and structure services in remote locations; strong written and verbal communication skills; knowledge of DOD organization and structure.</li><li>Clearance: TOP SECRET (SCI Eligible)</li></ul>Target salary range: $89,000 - $157,000Disclaimer:&nbsp;The salary range displayed&nbsp;represents&nbsp;the typical salary range for this position and is not a guarantee of compensation. Individual salaries are&nbsp;determined&nbsp;by&nbsp;various factors&nbsp;including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.<h4> LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a> Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? </h4>We can recommend jobs specifically for you!Click here to get started.

Defense Operational Energy Resilience Analyst - Clearance Required

<h4>Overview</h4>LMI seeks DoD Energy Performance Analyst to provide installation energy analysis and expertise to a DoD client.&nbsp;LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in cloud technical solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research, modernization strategies, and cloud services. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.<h4>Responsibilities</h4><ul><li>Evaluate DoD mission impact of various proposed installation energy initiatives, including energy conservation, energy efficiency, and alternative financing.</li><li>Support DoD client in energy management working groups</li><li>Conduct analyses of data and develop recommendations regarding the effectiveness of agency programs and to support the customer’s oversight role for energy project development and funding</li><li>Review and provide recommendations to update DoD installation energy policy guidance</li><li>Assist in managing energy reporting systems and resolving discrepancies, drafting and finalizing energy management reports</li><li>Support policies and initiatives for increasing the deployment of electric vehicles (EVs) and electric vehicle support infrastructure (EVSE)</li><li>Perform business case analyses for energy technologies and projects</li><li>Develop analytical content for written deliverables which may include white papers, briefings, feasibility studies, research summaries, position papers, and similar analytical products in support of the client.</li><li>Prepare, review, and analyze clean energy and carbon pollution-free electricity (CFE) policies and initiatives; develop and recommend policies and processes for improvement.</li></ul>Target salary range: $74,000 - $130,000Disclaimer:&nbsp;The salary range displayed&nbsp;represents&nbsp;the typical salary range for this position and is not a guarantee of compensation. Individual salaries are&nbsp;determined&nbsp;by&nbsp;various factors&nbsp;including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.<h4>Qualifications</h4><ul><li>Master’s Degree in engineering, scientific, technical or related discipline</li><li>Minimum of twenty years of progressively responsible experience of which at least ten (10) years is experience in program/project management of DoD utilities/energy, Federal Agency utilities/energy, clean energy deployment, and/or electric vehicles.</li><li>Five (5) + years OSD/Service staff/Joint Staff experience</li><li>Knowledge of DOD organization and structure; experience at the OSD level.</li><li>Clearance: Top Secret (SCI Eligible)</li></ul><h4> LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a> Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? </h4>We can recommend jobs specifically for you!Click here to get started.

DoD Energy Analyst (EV/EVSE and CFE Focus) - Clearance Required

<h4>Overview</h4>LMI seeks a Junior Energy Data Analyst to support, improve and expand energy efficiencies and capabilities for a current Federal client.&nbsp;LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in cloud technical solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research, modernization strategies, and cloud services. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.<h4>Responsibilities</h4><ul><li>Support the client with analysis of energy use, distribution, generation, storage, and management.</li><li>Support statistical modeling of fuel and power requirements for steady state and warfighting scenarios, and review the bulk fuel and power supportability and feasibility of theater posture, operation plans, concept plans, and installations.&nbsp;</li><li>Support operations research and other data analytical methods to facilitate decision making and justify resource allocation.</li><li>Provide support for the transition of the client to become a data-driven organization.</li><li>Support in-depth analysis to facilitate informed decision making and policy development.</li><li>Provide support and direct&nbsp;development for data collection, data quality assurance, and in-depth analysis related to operational energy.</li></ul> <h4>Qualifications</h4><ul><li>Competence in quantitative methods and applied mathematics</li><li>Understanding of the fundamental concepts and techniques of operations research to installation energy and operational energy challenges.</li><li>Experience developing models and simulations and synthesizing information into quantitative and qualitative assessments to support senior leader decision- making.</li><li>Bachelor’s Degree in: Operations Research, Engineering, Mathematics, Computer Science, Economics or Management Science. Experience programming and deploying web-accessible software applications and/or programming/developing and deploying DoD-oriented models and simulations for analytic wargaming and/or operational research.</li><li>Knowledge and understanding of, and practical experience in, the application of quality management and assurance techniques.</li><li>Clearance: Clearance Eligible</li></ul>Target salary range: $68,000 - $119,000Disclaimer:&nbsp;The salary range displayed&nbsp;represents&nbsp;the typical salary range for this position and is not a guarantee of compensation. Individual salaries are&nbsp;determined&nbsp;by&nbsp;various factors&nbsp;including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.<h4> LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a> Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? </h4>We can recommend jobs specifically for you!Click here to get started.

234 Natural and Environmental Sciences Jobs