51 jobs found

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds, part of McKesson, helps patients access the medications they need by solving complex medication access and affordability challenges. Through data, automation, and expert intervention, we support providers, pharmacies, payers, biopharma, and-most importantly-patients. Role Overview We are seeking a Data Scientist to support forecasting and demand planning initiatives , including volume and contact center forecasting . This role focuses on developing and enhancing statistical and predictive models to improve forecasting accuracy, workforce planning, and operational decision making. You will work closely with cross functional partners in operations, workforce management, and analytics to translate complex data into clear, actionable insights that drive business outcomes. Key Responsibilities: Analyze large, complex datasets to improve forecasting accuracy and operational planning Develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting Apply time series forecasting, predictive modeling, and scenario planning techniques to anticipate demand Partner with stakeholders to identify opportunities to improve productivity, performance, and customer experience Create and present clear data visualizations and insights for technical and non technical audiences Communicate forecasting results and recommendations to internal teams and occasional external partners Support optimization of staffing and workforce planning models with guidance from senior team members Priority will be given to candidates who reside in the Columbus, OH metropolitan area We are unable to provide sponsorship for work authorization for this role, presently or in the future. Minimum Requirements Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or equivalent experience 4+ years of experience applying advanced analytics to solve business problems Critical Skills & Experience Strong experience (4+ years) with forecasting and statistical modeling , including time series analysis Proficiency (4+ years) in Python (required) and experience with R Advanced (4+ years) SQL and experience working with large datasets Hands on experience (4+ years) with data modeling, statistics, and applied mathematics 4+ years' Experience using Databricks, Snowflake, or similar cloud based data platforms Ability to analyze trends, mine complex transactional data, and troubleshoot analytical issues Experience creating analytics driven visualizations and presenting insights clearly Comfortable working with moderate autonomy in a collaborative, cross functional environment Preferred / Nice to Have Experience with contact center analytics , workforce management, or operational forecasting Background in healthcare, pharmaceutical, biopharma, or insurance environments Exposure to advanced techniques such as machine learning, regression, segmentation, NLP, or decision trees Familiarity with Azure , automation, version control, or model deployment workflows Strong communication, presentation, and stakeholder management skills Intellectual curiosity, comfort with ambiguity, and desire to continuously learn Additional Information Must be authorized to work in the U.S. (no sponsorship available) Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are committed to creating an inclusive environment where everyone can thrive. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $108,800 - $181,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds, part of McKesson, helps patients access the medications they need by solving complex medication access and affordability challenges. Through data, automation, and expert intervention, we support providers, pharmacies, payers, biopharma, and-most importantly-patients. Role Overview We are seeking a Data Scientist to support forecasting and demand planning initiatives , including volume and contact center forecasting . This role focuses on developing and enhancing statistical and predictive models to improve forecasting accuracy, workforce planning, and operational decision making. You will work closely with cross functional partners in operations, workforce management, and analytics to translate complex data into clear, actionable insights that drive business outcomes. Key Responsibilities: Analyze large, complex datasets to improve forecasting accuracy and operational planning Develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting Apply time series forecasting, predictive modeling, and scenario planning techniques to anticipate demand Partner with stakeholders to identify opportunities to improve productivity, performance, and customer experience Create and present clear data visualizations and insights for technical and non technical audiences Communicate forecasting results and recommendations to internal teams and occasional external partners Support optimization of staffing and workforce planning models with guidance from senior team members Priority will be given to candidates who reside in the Columbus, OH metropolitan area We are unable to provide sponsorship for work authorization for this role, presently or in the future. Minimum Requirements Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or equivalent experience 4+ years of experience applying advanced analytics to solve business problems Critical Skills & Experience Strong experience (4+ years) with forecasting and statistical modeling , including time series analysis Proficiency (4+ years) in Python (required) and experience with R Advanced (4+ years) SQL and experience working with large datasets Hands on experience (4+ years) with data modeling, statistics, and applied mathematics 4+ years' Experience using Databricks, Snowflake, or similar cloud based data platforms Ability to analyze trends, mine complex transactional data, and troubleshoot analytical issues Experience creating analytics driven visualizations and presenting insights clearly Comfortable working with moderate autonomy in a collaborative, cross functional environment Preferred / Nice to Have Experience with contact center analytics , workforce management, or operational forecasting Background in healthcare, pharmaceutical, biopharma, or insurance environments Exposure to advanced techniques such as machine learning, regression, segmentation, NLP, or decision trees Familiarity with Azure , automation, version control, or model deployment workflows Strong communication, presentation, and stakeholder management skills Intellectual curiosity, comfort with ambiguity, and desire to continuously learn Additional Information Must be authorized to work in the U.S. (no sponsorship available) Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are committed to creating an inclusive environment where everyone can thrive. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $108,800 - $181,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Senior Flight Dynamics Engineer (5222C), Space Sciences Laboratory - 83690 About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview The Space Sciences Laboratory (SSL) is an Organized Research Unit (ORU) of the Berkeley campus reporting to the Vice Chancellor for Research. SSL's primary goal is to foster research in space-related sciences and to provide education for the next generation of space scientists. Research at SSL, led by Berkeley faculty and SSL Senior Fellows, focuses on experiments and observations carried out in space as well as theoretical and basic research. Position Summary The Mission Operations Team at the Space Sciences Lab operates multiple NASA science spacecraft now, and is funded to operate additional ones through this decade, and beyond. We currently operate spacecraft in Low Earth orbit, Lunar Orbit, at Earth-Sun Lagrange distance, and Mars, all AT THE SAME TIME. We are looking for a new Senior Flight Dynamics Engineer to help us with the essential products we need to (among other things) ensure that our spacecraft get to where they need, and maneuver as appropriate to collect science data for our important missions. The person we hire will provide spacecraft navigation and mission design for our existing and upcoming missions. You will work in a small and nimble team on multiple missions and proposals at once, and on a timescale where you will get to see your work's impact. Application Review Date The First Review Date for this job is: 01/27/2026. ResponsibilitiesProvides mission operations support for ongoing space missions. Generates and analyzes orbit and attitude determination solutions and mission planning products. Provides spacecraft maneuver planning, analysis, and calibration for missions with propulsive capabilities.Designs, develops, and evaluates complex flight dynamics and navigation systems used in the operations of national space science assets.Performs complex analysis on a variety of flight dynamic and orbital mechanics problems, including the definition of related mission requirements, for current and future space science missions.Collaborates with other aerospace engineering specialists, and outside collaborators, to develop and maintain the flight dynamics ground systems.Consults and collaborates with Principal Investigators (PIs) and other aerospace engineering specialists in the development of new mission concepts.Responds to spacecraft anomalies, from the perspective of the flight dynamics specialty, to assist in the investigation and recovery operations.Other duties as assigned.Required Qualifications Thorough skills in the design, development, and navigation of spacecraft trajectories. Demonstrated proficiency ("specialist") in at least two of the following: spacecraft navigation, trajectory determination, or mission design.Experienced user of either Mission Analysis, Operations, and Navigation Toolkit Environment (MONTE), General Mission Analysis Tool (GMAT), Copernicus, or other related mission design and trajectory analysis systems.Thorough knowledge of Python, MATLAB, LINUX, VS Code and GitLab.Past systems knowledge of other engineering specialties (e.g. Propulsion, Avionics, etc.) involved in the design and development of spacecraft. Demonstrated ability to communicate and present information to technical and nontechnical personnel at various levels in the organization. Must be able to travel up to 5% as needed for work events.Must be able to travel within the US to support in-person meetings and work on EAR programs.Advanced degree in related area and/or equivalent experience/training.Preferred Qualifications Experience with NASA missions.Proficiency InfluxDB and MySQL for data management and Grafana for building monitoring dashboards.Post-graduate level course work in related area. Salary & Benefits For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website. Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience. This is a full-time (40 hours/week), career position that is eligible for UC Benefits. This is an exempt monthly-paid position. How to ApplyTo apply, please submit your resume and cover letter.Other InformationThis position will be governed by the terms and conditions in the agreement for the Research and Public Service Professionals, represented by the UAW.This is not a visa opportunity. This position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.Conviction History Background This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check. SB 791 and AB 810 Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. To apply, visit Copyright 2025 Inc. All rights reserved. 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Job Duties: Design and build a data warehouse using computingbased data cloud (Snowflake) for machine learning, data analysis, self-serve analytics and reporting needs. Develop Extract, Transform, Load (ETL) pipelines to orchestrate execution of scripts, automate data transformation and loading data into data warehouses. Perform data cleansing, validation, testing and schema design to ensure accuracy and reliability of data insights. Manage and build automated workflows and monitor these pipelines and DAGs (Directed Acyclic Graphs). Identify and work on improvements by automating manual processes to optimize data delivery, re-design infrastructure for more scalability using python & sql. Collaborate with cross-functional teams including data engineers, analysts and data scientists to understand the business logic and needs to create an effective and efficient pipeline and data model. Create ad-hoc report/data visualizations based on user requirements. Participate in ETL flow design reviews and recommend solutions to improve processes. Perform data quality checks and alerting to identify issues and resolve bugs in a timely manner. Participate in source code and design reviews in a software development lifecycle (SDLC) driven environment using technical, functional, and domain knowledge. Identify issues or gaps and suggest improvements to the team processes. Provide support for customer requests for all the products handled by the team. Full-time telecommuting is an option. Minimum Requirements: Masters degree (or its foreign degree equivalent) in Analytics, Data Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in related field. Special Skill Requirements: 1. Data warehouse design and dimensional modeling 2. Extract, Transform, Load (ETL) 3. SQL 4. Python 5. Data Visualization (Tableau or Power BI) 6. Gitlab 7. Azure 8. PySpark 9. OLAP and OLTP system experience (MySQL Database, Postgres DB, or Snowflake) 10. Machine Learning 11. Data Pipeline - Performance & Scalability Techniques. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option. Salary: $177,813.00 - $195,594.00 per annum. Submit resume with references to: Req.# 53.2 at: ATTN: HR,

Research Software EngineerData Scientist (6104C) - 81524 About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview The problems facing our environment are becoming increasingly complex and they are outpacing efforts to address them. This includes challenges ranging from climate change, to the global extinction crisis, to issues associated with environmental justice. We must act both smarter and faster to head off severe consequences for people and the planet. Data Science approaches offer a transformative opportunity to increase both the rate and impact of environmental problem-solving. Launched in 2022, the Eric and Wendy Schmidt Center for Data Science and Environment (DSE) at Berkeley ( ) is a partnership between UC Berkeley's Department of Environmental Science, Policy, and Management and the Division of Computing, Data Science, and Society, with the financial support of Eric and Wendy Schmidt, working to take on these challenges. The Center aims to contribute to the global community who are similarly working to take on these challenges in four key areas: Generating ground-breaking computational/data science discoveries motivated by pressing environmental questions; Producing scalable solutions to critical threats facing the environment, powered by open-source tools; Deploying these solutions widely, taking advantage of modern cloud infrastructure and open data/open software, and maintaining a design philosophy of vendor neutrality to ensure that community needs are prioritized; Creating an enhanced pipeline of young environmental leaders connected to local communities and organizations to meet their needs and translate our research findings and technological developments into practical impacts. The success of this effort relies on people, our ability to build upon the success of others, and to make new contributions that allow others to build on what we create. The Schmidt Center for DSE is committed to diversity, equity, inclusion, and belonging. We aim to foster an environment that is safe and open to all work together with RCNR, CDSS, and Campus to continually learn and grow in our ability to do so. Position Summary At Data Science & Environment (DSE), our engineers play a critical role in developing and delivering all technical aspects of our project efforts. We are currently looking for a candidate with strong software development experience who can also understand and support the workflows and methodologies used in biodiversity data analysis and enhancing the accessibility of bioacoustics research methods. This work is in collaboration with our partners to advance the software of Soundhub (beta: ) - a platform to store, manage, and analyze bioacoustic data. This position will play a critical role in ensuring the performance, scalability, and reliability of the data infrastructure of Soundhub and related research workflows. You have a passion for using creative coding methods to help develop and implement workflows, visualizations, and other interactive data-enabled solutions. You're driven by a commitment to protecting the environment and wildlife, and you channel that passion into bringing people together to improve tools and advance training in bioacoustic methods. As an experienced data scientist/research software engineer, you are motivated to work across diverse disciplines, advance research, and collaborate with users to ensure that human-centered design informs every stage of software development. You will lead specific projects and also engage deeply with a collaborative technical team, and opportunities to contribute your expertise across multiple projects and program areas. For examples of our project areas, learn more about our current work at . Application Review Date The First Review Date for this job is 1/21/2026 Responsibilities Plans, designs, develops, modifies, debugs, deploys and evaluates data science / computational science research software technologies and visualizations. Ensures performance, scalability, and reliability of data infrastructure and software tools developed by the core technology team. Works closely with Program Manager, Senior Research Software Engineers, and domain scientists where applicable to perform these responsibilities and uses domain science knowledge where relevant. Analyzes existing software, scientific/data science code and interactive/static visualizations or works to formulate new logic for existing systems and algorithms. Contributes to research in biodiversity monitoring workflows, with an emphasis on improving accessibility of bioacoustics research methods. Works closely with Program Manager, Senior Research Software Engineers and the program team to develop data-enabled software solutions to a given environmental challenge. Understands and applies open research and development practices, community standards and department policies and procedures relating to work assignments. May serve as technical lead for a research and development project of moderate scope. Negotiate research and development project plans with interested collaborators, stakeholders and users as applicable. Contributes research and technical content to peer-reviewed publications and program outputs. Works both independently and in collaboration with the program team and stakeholders to design and implement technical solutions to environmental challenges. Works closely with the team Program Manager to prioritize work needs and opportunities to address given needs. Documents usage modes, capabilities, characteristics and performance of research codes/software/data visualizations. Publishes and presents, based on research and development work, results about data science techniques and tools, performance and algorithm enhancement in research venues to attract usage from domain science communities, or to promote latest technologies within the community. Leads collaborations with partners, researchers, and academic institutions to advance shared goals. Communicates technical program details effectively with a wide variety of audiences to ensure understanding and engagement with program stakeholders. Required Qualifications Intermediate knowledge of open data science/research software development Advanced skills, and demonstrated experience associated with deployment of data science applications, tools, and visualizations. Demonstrated ability to regularly interface with management. Demonstrated ability to contribute research and technical content to program outputs. Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences. Proven skills and experience in independently resolving broad computing/data problems using introductory and/or intermediate principles. Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines. Proven ability to successfully work on multiple concurrent projects. Proven ability to understand research computing/data needs, mapping use cases to requirements and how systems/software/infrastructure can support those needs and meet the requirements. Demonstrated ability to develop and implement such solutions. Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators. Bachelor's degree in related area and/or equivalent experience/training. Preferred Qualifications Experience or interest in contributing to the development of applications that analyze biodiversity data, including bioacoustic data. Experience with neural networks for classifications Experience or interest in ethical considerations of data science methodologies, including open practices and data sovereignty . click apply for full job details

Senior Data Scientist - Genetics University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist - Genetics Job Profile Title Job Description Summary The UPenn department of genetics is seeking a Senior Data Scientist for clinical genomic pipeline design and implementation. Job Description The successful candidate will be working with a broad team of quantitative analysts, including Statisticians, Data Scientists, Clinical and Basic trainees, and other bioinformaticians. Their role will involve developing and implementing new quantitative strategies to improve our understanding and ability to diagnose genetic disorders through a large-scale genomic clinically grade testing. Senior Data Scientists are passionate about applying their knowledge of biology and of methods for molecular, cellular or radiologic data-analysis to uncover general principles of genetic disorders and use these to create clinically useful biomarkers. They will develop, extend and apply computational pipelines for data-analysis to patient cohorts ranging from tens of individuals to hundreds of thousands. These will be executed at scale via distributed software solutions on both local HPC and cloud-based assets. Our datasets comprise petabytes, and are growing rapidly, linked to key clinical endpoints. This requires a strong background in biology to help ensure the right questions are asked, but linked to strong technical and personal communication skills, to help ensure insights are broadly adopted and appropriate analyses are performed. You may work with molecular (WGS, panel-sequencing, RNA-Seq, proteomic) or imaging (digital pathology, radiomic) data, and practical experience in one of these two areas is essential. Beyond your strong inter-personal skills and computer science background, you will have experience with implementation skills at least one of R, Perl or Python. You will be comfortable in UNIX/Linux environments and producing well-documented code. Multi-year experience (>10years) with cloud-computing or HPC is essential. Master of Science and 1 to 2 years of experience, or an equivalent combination of education and experience required. Ph.D. preferred. This position is contingent upon grant funding. Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $100,000.00 - $160,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: Equal Employment Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law. To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-d179e9077aaade49a4a0c65b646e4d66

Senior Curriculum Developer - Community for Rigor (C4R) University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Curriculum Developer - Community for Rigor (C4R) Job Profile Title Manager Research Project B Job Description Summary The Community for Rigor (C4R - ) is a growing and innovative team at the University of Pennsylvania with the goal of making science more rigorous through leading-edge educational materials. There is a growing recognition that science could be made more efficient and impactful, by addressing research problems such as: failure to replicate, poor documentation, non-open or gatekeeping of data, and ineffective research questions. Community for Rigor is a 5-year funded project from NIH NINDS, and operates as a hub that coordinates the efforts of partner institutions from many leading universities. Our vision is to empower scientists to do reliable, rigorous research, through inclusive pedagogy, and in collaboration with a vibrant global community. We are seeking a Senior Curriculum Developer that will be responsible for collaborative creation of training materials, suitable for scientists of all levels and career stages. As part of the Curriculum Team at C4R, you will work alongside internal teams and our external partners to design, develop, deploy, assess, and revise educational content. In addition to empowering scientists, we also aim to empower every member of our team, through a supportive, inclusive, and open working environment. C4R fosters the success of each individual and team through a variety of professional development and peer learning opportunities. Job Description Responsibilities Work alongside leading subject matter experts, professional educators, rigor champions, technologists, and more, to create the next generation of engaging and effective educational content. Contribute to shared projects as part of C4R's overall mission (e.g. provide feedback on design and user experience of web-based interactive components, evaluate existing educational units, and integrate feedback in future versions). Be a flexible and adaptive team player, and work alongside different entities at C4R, the Kording Lab, Penn, and our partners. Communicate effectively across different teams and individuals, including giving and receiving constructive feedback and actionable guidance. Support C4R in implementing its values throughout our work and our processes. Present C4R content to audiences when needed (including instruction to test audiences) and travel to conferences to represent C4R ( travel requirement Required Qualifications Master's degree and a minimum of three years of experience teaching in a higher-education setting or an equivalent combination of education and experience. Preference for background in Neuroscience or related field. Awareness of rigor and reproducibility issues, especially in the biomedical sciences Familiarity with evidence-based pedagogy and instructional design. Empathy with our learner audience and meeting them "where they're at". Strong writing and documentation skills, including providing written feedback and updating internal knowledge base documents. Ability to write effective copy, instructional text, audio/visual scripts, etc. Preferred / Nice-to-Have Certified Instructor for The Carpentries or similar certification. Familiarity with explicit teaching / explicit instruction. Familiarity with project management tools or systems ( Trello, Asana, Jira, etc.). Experience creating educational multimedia (graphics, audio recordings, video clips, interactive simulations). Resume and Cover Letter Description Please provide a resume and cover letter in your application. We use these documents to understand your experience and who you are as an individual. Your resume should include recent positions, descriptions of what you did in each role, and any relevant skills. Your cover letter should describe why you are interested in joining C4R, your connection to its mission, how your prior experience has prepared you for the various aspects of this role (technical background, leadership experience, etc), and (research background, pedagogical experience, etc), and your approach for creating engaging and effective educational materials. Please keep cover letters to two pages or less. Applications without a cover letter will not be considered. Timeline We intend to have the position start in early to mid February. Please indicate when you are able to start in your application materials. Job Location - City, State Philadelphia, Pennsylvania Department / School School of Engineering and Applied Science Pay Range $66,000.00 - $90,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community . click apply for full job details

Position OverviewThe Mass Spectrometry and Analytical Proteomics Laboratory (MSAPL Core) is seeking a highly motivated and experienced person to join the MSAPL core. The Assistant Research Senior is a research resource/collaborator in the utilization of the techniques and instrumentation of mass spectrometry in the analysis of proteins and protein mixtures, small molecule analysis. This scientist operates high resolution hybrid mass spectrometers in-line with liquid chromatography (LC devices). Instruments include the following Thermo Orbitrap Eclipse Tribrid Mass Spectrometer equipped with nano-LC system ACQUITY Premier/Xevo G3 system-time-of-flight mass spectrometer equipped with Acquity premier UPLC pump Thermo Q Exactive HF hybrid quadrupole-Orbitrap Mass Spectrometer with Vanquish UPLC Thermo TSQ Altis Plus Triple Quadrupole Mass Spectrometer with Vanquish UPLC Waters LCT Premier Mass Spectrometer Waters Quattro Micro-GC Mass Spectrometer In addition, basic understanding of mass spectrometry technology and utilization of software, searching and general data analysis are required. Implementing and optimizing sample preparation strategies for omics analysis are required. In addition to conducting experiments, this person participates in report writing and providing results and data to collaborators/clients. Training clients in data analysis, lab software and instrumentation is on as needed basis. In addition to scientific duties responsibilities for this position include instrument maintenance and scheduling, performance quality control, data storage and retrieval, billing for services rendered, supply ordering, interfacing with instrument suppliers, engineers and university support personnel.Job Description 30% - This scientist operates high resolution hybrid mass spectrometers and associated high performance separation devices. 20% - Utilization of software for quantitation, searching and general data analysis. 20% - Implementing and optimizing sample preparation strategies for omics analysis. 15% - In addition to scientific duties responsibilities this position includes instrument maintenance and scheduling, performance quality control, data storage and retrieval, billing for services rendered, supply ordering, interfacing with instrument suppliers, engineers and university support personnel. 10% - Conducting experiments and documentation, including report writing. 5% - Training clients on data analysis lab software and instrumentation on a as needed basis.Position RequirementsPhysical Requirements (with or without accommodation): Standing or walking for more than a combined total of four hours/day to do bench work in various labs. Lifting of up to 20 pounds, with frequent lifting and carrying of up to 10 pounds of lab supplies. Use of both hands to perform experiments in the lab. Sitting for six hours out of an eight-hour workday while completing analysis. Required Qualifications Bachelor's degree and three (3) years of additional experience in the field/area of research. Two (2) years of experience in analytical techniques for biochemistry or chemistry. One (1) year of experience troubleshooting experiments/instruments. One (1) year of experience with data analysis. Two (2) years of experience documenting and following procedures while utilizing safe laboratory practices. Effective written communication skills as evidenced by application materials. This position requires a formal degree in the cited discipline area(s) to ensure that candidates have advanced knowledge, analytical skills and professional competencies necessary to perform the duties of the position. The level of degree is commonly recognized as the standard qualification for similar roles in the public and private sector, ensuring that the university remains competitive with industry aligned practices, enhances collaboration with external partners, and supports the delivery of services and programs that meet professional and market-driven expectations. Preferred Qualifications Experience in sample preparation for omics analysis by mass spectrometry as evidenced by application materials. Experience in Mass Spectrometry as evidenced by application materials. Experience with software tools, especially search engines as evidenced by application materials. Additional Candidate InstructionsIn addition to the online application, the following documents are required to be considered for this position: Cover letter describing how you meet the required and preferred qualifications.Resume.List of three (3) professional references. Only complete applications will be considered. Application review begins Monday, January 5th 2026 and will continue until a qualified pool of applicants are identified. Contact Information to ApplicantsAnita Saraf Email: Phone: Advertised Salary Range$40,000 - $55,000 based on education and experienceApplication Review BeginsMonday January 5, 2026Anticipated Start DateMonday March 9, 2026 Apply to Job

Senior Data Scientist, Wharton Graduate Division University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist, Wharton Graduate Division Job Profile Title Job Description Summary The Senior Data Scientist - Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and Global Wharton MBA programs. Reporting to the Director of Data Science, this role is instrumental in advancing analytics-driven solutions that enhance the student experience and improve office productivity. This position will lead the enhancement, maintenance, and expansion of Wharton's Course Match registration system-Wharton's MBA registration system that allocates course schedule. As a technically advanced implementation of modern mechanism design, Course Match is central to the MBA academic experience and requires continued refinement and innovation. The Senior Data Scientist will contribute directly to its algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in evaluating and integrating a new optimization engine into Course Match, collaborating with internal stakeholders such as the MBA Program Office, Wharton Computing, and the University Registrar, and engaging with external vendors to ensure system robustness, scalability, and alignment with institutional practices, policies, and priorities. Beyond Course Match, the Senior Data Scientist will contribute to a broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major focus will be building reusable, scalable, and automated Python-based solutions that enable long-term innovation within the MBA Program Office and Wharton Computing. The ideal candidate brings a strong background in algorithmic systems and applied data science, with a demonstrated ability to manage complex technical projects from ideation through deployment. They will be adept at translating technical insights for diverse audiences, fostering cross-functional collaboration, and providing mentorship and thought leadership to colleagues. Outstanding communication skills and a highly collaborative mindset are essential. This role is a two-year appointment, with the potential for continuation. Job Description Duties Lead development and ownership of Course Match Serve as the primary developer and systems owner for Course Match registration system, including algorithm and infrastructure integration. Algorithmic and performance refinement Design and implement enhancements to Course Match's algorithmic infrastructure, including optimization tuning, performance analysis, heuristic development (e.g., Tabu Search), mixed-integer programming (MIP), and system diagnostics. Internal and external collaboration and system integration Partner with internal stakeholders and external vendors to support the integration of a new optimization engine. Participate in vendor evaluation, architecture planning, and system design discussions to ensure successful deployment and infrastructure integration. Data science project contributions beyond Course Match Contribute to high-impact academic affairs and data science initiatives beyond Course Match, including AI integration, process automation, and machine learning. Build robust Python-based solutions that promote reusability, automation, and scalability. Infrastructure development and automation Develop and maintain analytics infrastructure and automation pipelines to support data workflows across the MBA Program Office and Wharton Computing. Apply best practices in software development, testing, and version control. Qualifications Master's degree and 1-2 years of experience in a quantitative field such as Engineering, Data Science, Computer Science, Operations Research, Mathematics, or a related discipline is required; however, a Master's degree and at least 5 years of relevant experience is strongly preferred. Strong programming proficiency in Python is required, including experience developing modular, well-documented, and production-grade code. Familiarity with version control systems (e.g., Git) and test-driven development is strongly preferred. Demonstrated expertise in algorithmic systems or large-scale computational frameworks, with hands-on experience in one or more of the following: heuristic search methods (e.g., Tabu Search), combinatorial optimization, mixed-integer programming (MIP), or algorithmic market design. Experience working within multi-component software environments and integrating external libraries, APIs, or platforms. Familiarity with systems integration and data engineering practices is preferred. Experience supporting or participating in vendor evaluations or third-party system integrations is strongly preferred. Ability to engage with external vendors on technical system design, performance review, and implementation. Applied experience with core data science methods, including statistical modeling, predictive analytics, and machine learning. Proficiency with tools such as R, SQL, and Power BI is a plus. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $100,000.00 - $140,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired . click apply for full job details

Data Engineer, Penn Wharton Budget Model University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Engineer, Penn Wharton Budget Model Job Profile Title Application Developer Senior Job Description Summary Wharton School Overview Founded in 1881 as the world's first collegiate business school, the Wharton School of the University of Pennsylvania is shaping the future of business by incubating ideas, driving insights, and creating leaders who change the world. With campuses in both Philadelphia and San Francisco, Wharton has over 850 staff, a faculty population of more than 235 renowned professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 professionals from around the world advance their careers through Wharton Executive Education's individual, company-customized, and online programs. More than 104,000 Wharton alumni form a powerful global network of leaders who transform business every day. Wharton is home to a dynamic community of staff, bringing a wide range of skills, experiences, and perspectives. To learn more, visit . The Penn Wharton Budget Model (PWBM) is a non-partisan, research-based initiative that provides analysis to policymakers to assess the effects of policy on budgetary outcomes (government revenues and costs) and various economic variables. PWBM's work is widely cited and has been influential in many key recent policy discussions, including tax reform, budget reconciliation, immigration, Social Security, health care, infrastructure, pre-K education, paid family leave, universal income, and the federal debt. The PWBM team consists of roughly 30 Ph.D. economists, policy analysts, research analysts, software engineers, and developers. PWBM has a unique model - even relative to other scoring entities - that relies on a workflow between data processing, microsimulation (which utilizes large-scale Monte Carlo simulations), dozens of policy modules (including several tax calculators), and a large-scale stochastic macroeconomic overlapping generations (OLG) lifecycle model. An extensive code base, mostly in Python, underlies this workflow, and the model utilizes cutting-edge economic modeling, data science, machine learning, and cloud computing to project policy impacts. The models are frequently updated to reflect the latest economics and empirical research, and many of them require (large) datasets to calibrate them. PWBM is currently building a model automation pipeline to automate the forecasting process. The Data Engineer will be a member of the software engineering team and work closely with PWBM domain experts - economists, policy analysts, and research analysts - responsible for building and calibrating models using large, publicly and privately available datasets. The Data Engineer will design, build, and maintain the data infrastructure with the software engineering team; establish best practices for data ingestion and storage; and coach domain experts to write maintainable extract-transform-load (ETL) code. The Data Engineer will also contribute their expertise and insights to the model automation project to help make the automation pipeline robust to data changes. Position contingent upon funding. Job Description Job Responsibilities The data engineer will work with the software engineering team to design, build, and maintain data infrastructure that houses data obtained from external sources and PWBM model output and enables PWBM and external collaborators easy access to information that is versioned, accurate, and consistent. Establish best practices for data ingestion, storage, and retrieval. Work with PWBM domain experts to implement best practices in extract-transform-load (ETL) code, including producing readable, modular, and testable code. Help the Director of Engineering and Data and domain experts plan future infrastructure development. Mentor junior engineers, research analysts, and graduate students. Perform additional duties as assigned Qualifications Required Skills/Experience: A bachelor's degree in a relevant field, such as computer science, software engineering, statistics, mathematics, or engineering; and 3-5 years of experience; or equivalent. More than 2 years of post-degree experience as a data engineer in a team setting, and familiarity with current cloud data storage options, data modeling, data extraction (e.g., web scraping or using web APIs), automation (e.g., pipelining), and alerting/monitoring with process insights in mind. Demonstrated ability to write readable, modular, and testable code. Experience with modern software engineering best practices (e.g. automated testing, pair programming, and continuous integration). Solid ability to understand mathematical and statistical models. Strong written and verbal communication skills and the ability to collaborate successfully with teammates who have diverse technical backgrounds. The data engineer will work with individuals across a range of technical experience levels, so the candidate should be able to distill their thoughts into non-technical terms. Experience working with LLM-based coding tools. Experience with data frame packages/libraries in any programming language. Solid ability to identify requirements from discussions with domain experts and parse them into smaller stories/tasks. Preferred Skills: Knowledge of Python and pandas. Experience working with survey data or other microdata. Familiarity with major economic and demographic data sources (e.g. Census Bureau, Bureau of Labor Statistics, and Bureau of Economic Analysis). Experience working with data scientists or economists. Formal training in economics, public policy, or in quantitative disciplines such as statistics, engineering, and mathematics. Additional Information Staff positions at the Penn Wharton Budget Model are funded by external gifts and grants. This position is contingent upon both the continued availability of funding sources and the ongoing need for the role. It is an initial two-year term position, with potential renewal at the discretion of the faculty director. The position may be discontinued if funding sources are no longer available, if suitable replacement funding sources are not identified, or if the need for the position ceases to exist. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $83,500.00 - $130,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: . click apply for full job details

Data Analyst C (Immune Health Institute) University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Analyst C (Immune Health Institute) Job Profile Title Data Analyst C Job Description Summary The University of Pennsylvania is a national leader in advancing knowledge of the basic immunology of inflammation, autoimmunity, cancer, transplantation, and infection. Within Penn, the newly created Institute for Immunology and Immune Health (I3H) aims to bring together fundamental immunology and translational research with computational infrastructure to scale and integrate immunological knowledge into the electronic medical record. I3H is seeking a skilled Data Analyst to join our multi-disciplinary team. Under the supervision of a Senior Data Analyst, and in collaboration with other programmers, immunologists and technicians, the employee will develop, maintain and deploy analysis pipelines that produce actionable insights from the large-scale datasets generated by the Institute. Prior experience with immunology assays such as single-cell cytometry is not required, but it is expected that familiarity and fluency with these data modalities and their biological interpretation will be developed over time. Job Description Job Description: The multidisciplinary team at the Institute for Immunology and Immune Health is looking for a self-motivated, detail-oriented data analyst who will work with a team of programmers, immunologists, and clinicians to support day-to-day operations and analytics pipeline development. The ideal candidate is passionate about both exploratory and production level data analysis and is interested in developing a common language with the immunologists, clinicians, and wet bench scientists whom the analytics effort supports. Develop a detailed understanding of existing pipelines for quality control, analysis and interpretation of immunological data, and deploy them to new data that Immune Health is continuously generating Contribute code to new pipelines and functionalities Prepare results in written, tabular and graphical summaries, to help stakeholders make decisions and support publications Communicate frequently with the team to ensure that the computational work reflects biological and clinical goals. This includes generating reports tracking projects' progress. Be flexible and adapt workflows to shifting priorities and requirements Qualifications BA/BS in computer science or a quantitative discipline with at least 2-3 years of experience in data analysis, or equivalent combination of education and experience. Experience with data wrangling and analytics in R Good understanding of data structures and algorithms Ability to communicate clearly and concisely, including written documentation and data visualization Interest in developing a basic fluency in the assays and data types used for immunology research Preferred: Experience with Python, C++ or the command line Experience working with single-cell cytometry, transcriptomics, genomics or related biological data Position is contingent upon continued funding. Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $61,000.00 - $73,581.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child . click apply for full job details

Special Instructions to Applicants Please include a cover letter with your application submission. This is a 1 year contract with the possibility of extension and/or conversion to a career appointment. Department Summary American prisons are deadly but opaque places. In 2019, the federal entity charged with collecting and reporting carceral mortality data stopped performing these critical functions. This abdication left the public without access to even the most basic facts about life and death behind bars, including how many people die each year in state and federal prisons; who is dying in prison, and why; and what disparities-racial, gender, and geographical-exist in mortality outcomes. This informational void makes it difficult if not impossible for policymakers and other stakeholders to identify what actions carceral agencies can take to reduce preventable deaths and improve conditions inside. It also makes it hard for members of the public to see the contours and impacts of the carceral penalties imposed on people convicted of crimes. The UCLA Law Behind Bars Data Project's carceral mortality database is the only comprehensive, public accounting of the most basic fact about mortality behind bars: how many people died across state and federal prisons in recent years. The Project obtains and cleans data from public records requests, death certificates, and other data sources; compiles and publishes the data, and employs established data protocols and research methodologies to understand its implications. In addition, the Project collaborates with advocates, reporters, researchers, litigators, policymakers, and other stakeholders to make sure that data is available, intelligible, and usable for their purposes. Position Summary While the Senior Data Scientist (Supervisor) will learn from the Project's previous iterations, the new carceral mortality and morbidity agenda will be a significant expansion for the team. As such, in addition to being a core member of our Data Team performing a proportionate share of the Data Team's work, the Senior Data Scientist (Supervisor) will be responsible for crafting new data project plans and methodological approaches, strategizing incorporation of outside datasets, and managing the data team along with internal collaborations to maximize impact on policy and practice. They will also articulate, in consultation with the Project's Faculty Directors, a strategic vision for the expanded collection, processing and analysis of carceral morbidity data. The Senior Data Scientist (Supervisor) will supervise the team's Data Analyst, Data Scientist, Senior Research Scientist, and several student research assistants. Salary & Compensation UCLA provides a full pay range. Actual salary offers consider factors, including budget, prior experience, skills, knowledge, abilities, education, licensure and certifications, and other business considerations. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits. Qualifications Substantial research experience. (Required) Prior building or maintaining productionized ETL pipelines in R or Python. (Preferred) Experience planning and executing quantitative research including data collection, cleaning, analysis, and publication (Required)Experience working with datasets that include missing, unstructured, and/or incorrect data. (Required)Experience establishing relationships and working with diverse collaborators (e.g., local advocates, government officials, and journalists) with varying levels of technical literacy. (Required)Strong organizational skills for project planning, data collection procedures, and complex research activities. (Required)Experience with public record requests and creating impactful data visualizations for social media and news reports. (Preferred)Proficiency using R or another programming language to manipulate data and draw insights from large, complex datasets. (Required)Strong writing skills, including experience with peer-reviewed manuscripts. (Required)Experience using git/GitHub to track tasks and data acquisition processes, and regularly update data on GitHub. (Required)Experience creating impactful data visualizations for social media and reports. (Preferred)Experience developing open-source datasets and GIS platforms. (Preferred)Experience planning and executing quantitative data projects including collection, cleaning, analysis, and archiving. (Preferred)Experience supervising similarly sized data teams and working with diverse collaborators with varying levels of data literacy. (Required) Education, Licenses, Certifications & Personal Affiliations Master's Degree in Data science, quantitative social science, or related field OR 5+ years working experience as a data or research scientist or equivalent combination of education and experience. (Required) Special Conditions for Employment Background Check: Continued employment is contingent upon the completion of a satisfactory background investigation.Live Scan Background Check: A Live Scan background check must be completed prior to the start of employment.Age Requirement: Candidate(s) must be 18 years or older to be eligible to be hired.Compassion, empathy, and a sense of humor. (Required)Lived experience with and/or knowledge of the criminal legal system. (Preferred)Experience working with remote teams. (Preferred)Ability to prioritize and effectively manage a workload with multiple deadlines. (Required)Familiarity or interest in working with public health and/or criminal justice data. (Required)Outstanding leadership, judgment, attention to detail, and the ability to foster a collaborative remote working environment. (Required) Schedule Monday - Friday 8am-5pm PST Union/Policy Covered 99-Policy Covered Complete Position Description

Research Data Analyst 2 School of Medicine, Stanford, California, United States NewInformation Analytics 6 days ago Post Date 107867 Requisition # Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. Stanford University is one of the world's most renowned universities.Sitting in the heart of the San Francisco Bay Area among the valley's most progressive companies. The Department of Pathology at Stanford School of Medicine, one of its founding departments, stands as a leader among its peers nationwide. Our preeminent faculty spans from emerging leaders to highly accomplished physicians and scientists, including a Nobel laureate and members of the National Academy. Our mission is to improve the diagnosis, treatment, and basic understanding of the human disease.This is done through discovery (research), education, and clinical care. You will be working with an unparalleled leading-edge community of faculty and staff that are fundamentally changing the world of health care. You will have the opportunity to influence and drive change with your innovative ideas, the ability to make a difference and participate in human advancements.Our culture is fast-paced, energetic, and growing all of the time. We offer a variety of benefits beyond traditional medical, dental, retirement, and savings options: Events and program for children, sports camps, tuition options World-class intellectual stimulation through learning and development classes, workshops, and onsite conferences from leading-edge speakers and faculty Work/life and family-friendly policies and reimbursement Participation in Stanford's social responsibility and sustainable programs for a better world A vibrant university culture that values the uniqueness of each individual We are seeking candidates who are progressive thinkers, see challenges as simply problems to solve, and have the spirit and energy to change the world. About the Department of Pathology: Comprised of extraordinary faculty and staff, our mission is to improve the ability to diagnose, treat and understand the origin and manifestation of human disease, and to care for those who have or are at risk to develop disease.We accomplish this through our clinical services (in all fields of anatomic and clinical pathology, including molecular and genomic pathology, histocompatibility testing and transfusion medicine) and be research (which includes basic, translational and clinical research into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and also by educating future leaders in pathology and related fields.Everything we do is to achieve the goals of providing the highest quality of clinical services to the patients for whom we passionately care, to advance our ability to understand, diagnose, monitor and ultimately to cure disease or to prevent or delay its occurrence, and to provide outstanding education and career development opportunities to those who share these goals. For more information about the department visit: About the Sean N. Parker Center: The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is the first of its kind, dedicated to advancing treatments and discovering underlying immune mechanisms to develop lasting cures for allergies and asthma in both children and adults. Our interdisciplinary team of leading scientists, physician-scientists, and specialists from fields such as immunology, gastroenterology, otolaryngology, chemistry, bioengineering, pathology, pulmonology, and genetics collaborates on cutting-edge research aimed at understanding immune dysfunctions that lead to allergic reactions. As a global leader in allergy research, our Center works collaboratively with researchers worldwide, sharing data through an interlinked network of satellite centers to conduct innovative clinical trials. Our research efforts extend beyond allergies and asthma to encompass a range of immune-related disorders, including eczema, food allergies, eosinophilic conditions, drug allergies, and gastrointestinal diseases. Through laboratory and computational research, clinical trials, and community outreach, we are committed to developing rational, evidence-based therapies that provide the safest and most effective treatments for patients. By combining innovative science with compassionate care, we strive to transform lives at both local and global levels. About the Position: The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. At the Sean N. Parker Center for Allergy and Asthma Research, the world's leading scientists, physician scientists, and research teams come together to study and understand the molecular underpinnings of allergies and asthma. We are committed to finding causes, treatments, and cures for allergies and asthma, and bringing these to children, adults, and their families at local and global levels. Transforming lives with innovative science and compassionate care. Duties include: Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. Assist with the design of data collection instruments and statistical analysis plans under the supervision of research data manager and a senior biostatistician Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Test prototype software and participate in approval and release process for new software. Provide documentation based on audit and reporting criteria to investigators and research staff The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Desired Qualifications: Proficient understanding of statistical concepts and analytical techniques used in clinical and translational research Experience in a quantitative discipline such as economics, finance, statistics or engineering. Extremely comfortable with computers and quick to learn new software REDCap experience (data entry, building REDCap forms, organizing REDCap surveys, etc.) or iMedidata experience Able to work independently and heavily multi-task Good communication skills Experience in project and/or database management Ability to understand and work with large and complex data sets - QA/QC, data cleaning, and multi-variate reporting Advanced knowledge of programming Clinical/medical terminology Database experience (e.g. MySQL, Oracle) Master's degree or higher or a combination of education and relevant experience. Many years of Experience in a quantitative discipline such as biology, laboratory, statistics or engineering. Education & Experiences (Required): Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills, and Abilities (Required): Proficient in at least one of R, SAS, SPSS, or STATA. Skills in descriptive analysis, modeling of data, and graphic interfaces. Substantial experience with MS Office and analytical programs. Excellent writing and analytical skills. Ability to prioritize workload. Physical Requirements : Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Working Conditions: Some work may be performed in a laboratory or field setting. The expected pay range for this position is $108,002 to $128,138 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire . click apply for full job details

Mission Operations Ground Systems and Software Engineer (7115C), Space Sciences Laboratory - 82831 About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview The Space Sciences Laboratory (SSL) is an Organized Research Unit (ORU) of the Berkeley campus reporting to the Vice Chancellor for Research. SSL's primary goal is to foster research in space-related sciences and to provide education for the next generation of space scientists. Research at SSL, led by Berkeley faculty and SSL Senior Fellows, focuses on experiments and observations carried out in space as well as theoretical and basic research. Position Summary Create and help maintain the full stack of Mission Operations Software used by the Mission Operations Team at the UC Space Sciences Lab. Our team currently controls 9 spacecraft in orbit including Low Earth, Lunar, Heliocentric, and Mars orbits. The position requires a highly motivated and independent software engineer that wants be part of an innovative and agile team that has demonstrated it can do more, faster and more cost effectively, than just about any team currently involved in space missions. We are looking for someone with an eye for design that is interested in UX/UI, as much as in the back end. We have multiple more funded missions coming up that will need support. This job is to help us understand and visualize space mission engineering and science data. Application Review Date The First Review Date for this job is: 12/15/2025. ResponsibilitiesLead discussions to translate operator and scientist requirements into an executable software implementation plan.Under general supervision, design and prepare Graphical User Interfaces (GUIs) and other software tools for our operators to use to evaluate telemetry and interact with engineering test or flight articles or spacecraft.Under general supervision, work to improve or augment existing software products used by our Mission Operations Team.Present interfaces to senior staff internal to the SSL as well as external customers.Independently research and design software capabilities for the team without requirements, based purely to innovate based on predicting where the team is headed.Other duties as assigned. Required Qualifications Relevant experience with JavaScript and an additional backend language (Python, Go, SQL, etc.).Previous experience AND interest with UI/UX and frontend tech stack (e.g., React, HTML, CSS, Vue, Angular, Alpine, Svelte, LitElement, etc.).Demonstrated experience with client and server interactions (HTTP protocol + REST API).Previous experience with time series databases (e.g., InfluxDB).Previous experience with dashboard (data visualization) services like Grafana.Bachelor's degree in related area and/or equivalent experience/training.Preferred Qualifications Demonstrated Interest in aerospace topics, especially mission operations.Salary & Benefits For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website. Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience. The budgeted annual salary range that the University reasonably expects to pay for this position is $101,600.00 - $135,000.00. The full salary range for this classification is $101,600.00 - $189,800.00. This is an exempt monthly-paid position. How to ApplyTo apply, please submit your resume and cover letter.Other Information This position will be governed by the terms and conditions in the agreement for the Research and Public Service Professionals, represented by the UAW.This is not a visa opportunity. This position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.This recruitment has 2 openings. This position has up to 5% - 10% travel.Conviction History Background This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check. SB 791 and AB 810 Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. To apply, visit Copyright 2025 Inc. All rights reserved. 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Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation