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senior clinical analyst
Data Analyst C/D (The Palliative and Advanced Illness Research Center)
InsideHigherEd Philadelphia, Pennsylvania
Data Analyst C/D (The Palliative and Advanced Illness Research Center) 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/D (The Palliative and Advanced Illness Research Center) Job Profile Title Data Analyst C Job Description Summary The Palliative and Advanced Illness Research Center is seeking two data managers to join a team of data managers and biostatisticians supporting the Center's clinical trials, observational cohort studies, and pilot programs. The data managers will be responsible for deeply understanding PAIR's study protocols and translating that understanding into the creation of appropriately structured analytic files, queries, data collection tools, data pipelines, and external data requests with data use agreements. The data managers must demonstrate a strong knowledge of research concepts and data structures, ideally in the healthcare setting, and communicate effectively and openly with collaborators, internal and external, about technical requirements and study design considerations. These individuals will also be responsible for planning for data acquisition, preservation, and destruction; establishing data use agreements on behalf of the Center; and maintaining complete documentation. The successful candidates must have significant data programming experience in R (preferred) and/or Python, and in SQL; experience with MS Access and SAS are also beneficial. Above all, attention to detail and the ability to clearly and concisely convey nuanced technical information to different audiences (project managers, investigators, technical and non-technical external stakeholders, biostatisticians, other data managers) will be essential to this individual's success in the position. Job Description Job Responsibilities The Palliative and Advanced Illness Research Center is seeking two data managers to join a team of data managers and biostatisticians supporting the Center's clinical trials, observational cohort studies, and pilot programs. The data managers will be responsible for deeply understanding PAIR's study protocols and translating that understanding into the creation of appropriately structured analytic files, queries, data collection tools, data pipelines, and external data requests with data use agreements. The data managers must demonstrate a strong knowledge of research concepts and data structures, ideally in the healthcare setting, and communicate effectively and openly with collaborators, internal and external, about technical requirements and study design considerations. These individuals will also be responsible for planning for data acquisition, preservation, and destruction; establishing data use agreements on behalf of the Center; and maintaining complete documentation. The successful candidates must have significant data programming experience in R (preferred) and/or Python, and in SQL; experience with MS Access and SAS are also beneficial. Above all, attention to detail and the ability to clearly and concisely convey nuanced technical information to different audiences (project managers, investigators, technical and non-technical external stakeholders, biostatisticians, other data managers) will be essential to this individual's success in the position. DUTIES: Write R scripts to assess data quality, generate reports, and prepare analysis-ready datasets. Design, test, and maintain data flows and databases to support study recruitment and data collection. Create and maintain documentation for data resources created. Contribute to the development of organizational systems for programs, data files, queries, and documentation files. Review drafts and provide comments/revisions on data use agreements and develop plans to ensure their compliance. Create flowcharts, summary documents, and other presentation aids to facilitate collective understanding of data-related workflows. Provide training to research coordinators and project managers on data processes. Provide constructive input in study team meetings and PAIR Center-wide discussions. Perform other duties as assigned. Data Analyst D: Applicants with training and experience in querying electronic health record data structures, particularly Epic Clarity, will be considered for the more senior position, which will involve composing and validating complex SQL queries to retrieve health data according to real-life clinical documentation patterns. Familiarity working with data generated from a variety of clinical processes (orders, labs, flowsheet, medications, alerts, episodes, notes, admission-discharge-transfer, appointments, referrals, etc.) will be a significant factor in evaluating candidates. Contingent Upon Funding. Qualifications Required: Experience analyzing complex data. Experience programming in R or Python Experience programming in SQL (or similar from other environments, e.g. SAS PROC SQL) Excellent organizational skills and attention to detail Excellent written and oral communication skills Preferred: Experience with healthcare research and concepts Epic Clarity certifications, especially from the Clinical Data Model track Data Analyst C: Bachelor of Science and 2 to 3 years of experience or equivalent combination of education and experience is required. Master's preferred. Data Analyst D: A bachelor's degree and 3-5 years of experience or equivalent combination of education and experience is required. Master's preferred. Experience with querying electronic health record data structures (e.g., Epic Clarity) Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $61,000.00 - $100,000.00 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 . click apply for full job details
01/14/2026
Full time
Data Analyst C/D (The Palliative and Advanced Illness Research Center) 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/D (The Palliative and Advanced Illness Research Center) Job Profile Title Data Analyst C Job Description Summary The Palliative and Advanced Illness Research Center is seeking two data managers to join a team of data managers and biostatisticians supporting the Center's clinical trials, observational cohort studies, and pilot programs. The data managers will be responsible for deeply understanding PAIR's study protocols and translating that understanding into the creation of appropriately structured analytic files, queries, data collection tools, data pipelines, and external data requests with data use agreements. The data managers must demonstrate a strong knowledge of research concepts and data structures, ideally in the healthcare setting, and communicate effectively and openly with collaborators, internal and external, about technical requirements and study design considerations. These individuals will also be responsible for planning for data acquisition, preservation, and destruction; establishing data use agreements on behalf of the Center; and maintaining complete documentation. The successful candidates must have significant data programming experience in R (preferred) and/or Python, and in SQL; experience with MS Access and SAS are also beneficial. Above all, attention to detail and the ability to clearly and concisely convey nuanced technical information to different audiences (project managers, investigators, technical and non-technical external stakeholders, biostatisticians, other data managers) will be essential to this individual's success in the position. Job Description Job Responsibilities The Palliative and Advanced Illness Research Center is seeking two data managers to join a team of data managers and biostatisticians supporting the Center's clinical trials, observational cohort studies, and pilot programs. The data managers will be responsible for deeply understanding PAIR's study protocols and translating that understanding into the creation of appropriately structured analytic files, queries, data collection tools, data pipelines, and external data requests with data use agreements. The data managers must demonstrate a strong knowledge of research concepts and data structures, ideally in the healthcare setting, and communicate effectively and openly with collaborators, internal and external, about technical requirements and study design considerations. These individuals will also be responsible for planning for data acquisition, preservation, and destruction; establishing data use agreements on behalf of the Center; and maintaining complete documentation. The successful candidates must have significant data programming experience in R (preferred) and/or Python, and in SQL; experience with MS Access and SAS are also beneficial. Above all, attention to detail and the ability to clearly and concisely convey nuanced technical information to different audiences (project managers, investigators, technical and non-technical external stakeholders, biostatisticians, other data managers) will be essential to this individual's success in the position. DUTIES: Write R scripts to assess data quality, generate reports, and prepare analysis-ready datasets. Design, test, and maintain data flows and databases to support study recruitment and data collection. Create and maintain documentation for data resources created. Contribute to the development of organizational systems for programs, data files, queries, and documentation files. Review drafts and provide comments/revisions on data use agreements and develop plans to ensure their compliance. Create flowcharts, summary documents, and other presentation aids to facilitate collective understanding of data-related workflows. Provide training to research coordinators and project managers on data processes. Provide constructive input in study team meetings and PAIR Center-wide discussions. Perform other duties as assigned. Data Analyst D: Applicants with training and experience in querying electronic health record data structures, particularly Epic Clarity, will be considered for the more senior position, which will involve composing and validating complex SQL queries to retrieve health data according to real-life clinical documentation patterns. Familiarity working with data generated from a variety of clinical processes (orders, labs, flowsheet, medications, alerts, episodes, notes, admission-discharge-transfer, appointments, referrals, etc.) will be a significant factor in evaluating candidates. Contingent Upon Funding. Qualifications Required: Experience analyzing complex data. Experience programming in R or Python Experience programming in SQL (or similar from other environments, e.g. SAS PROC SQL) Excellent organizational skills and attention to detail Excellent written and oral communication skills Preferred: Experience with healthcare research and concepts Epic Clarity certifications, especially from the Clinical Data Model track Data Analyst C: Bachelor of Science and 2 to 3 years of experience or equivalent combination of education and experience is required. Master's preferred. Data Analyst D: A bachelor's degree and 3-5 years of experience or equivalent combination of education and experience is required. Master's preferred. Experience with querying electronic health record data structures (e.g., Epic Clarity) Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $61,000.00 - $100,000.00 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 . click apply for full job details
Senior Data Scientist - Genetics
InsideHigherEd Philadelphia, Pennsylvania
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
01/14/2026
Full time
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
Data Analyst C (Immune Health Institute)
InsideHigherEd Philadelphia, Pennsylvania
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
01/14/2026
Full time
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
Research Data Analyst 1
InsideHigherEd Stanford, California
Research Data Analyst 1 School of Medicine, Stanford, California, United States Information Analytics Nov 20, 2025 Post Date 107775 Requisition # The Stanford Autonomic Disorders Program in the Department of Neurology & Neurological Sciences, is seeking to hire a Research Data Analyst 1 to manage and analyze large amount of physiological data for clinical projects on autonomic disorders. We are seeking a Research Data Analyst who will work with the team under the guidance of supervisors to organize and maintain a database of autonomic dysfunction in small fiber neuropathies, Long-COVID/PASC, hypersomnia, and aid in the preprocessing and analysis of other physiological and patient-reported data collected in the Autonomic Discords Program. The candidate will work in closely with the investigators in the division to implement and execute analysis pipelines for data collected within the division as well as with collaborators in other divisions and departments. Duties include : Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. Analyze data processes in documentation. Collaborate with faculty and research staff on data collection and analysis methods. - Other duties may also be assigned. DESIRED QUALIFICATIONS: Minimum 2 years of Statistics, Biostatistics, Bioinformatics or related field experience preferred. Experience using machine learning algorithms in Prism, MATLAB, and Python. Skilled in R, SQL, C++ (STL), Frameworks and Libraries:, Pandas, NumPy, PyTorch. Computer vision and machine learning (e.g., image segmentation, clustering, and classification models). Familiarity with REDCap, Excel-based data capture, and research documentation. Ability to multi-task various projects with different timelines. Ability to collaborate with senior investigators. Relevant background in Neuroscience, Neurology, Cognitive Science, Psychology or related field. Strong communication of analytical findings to both clinical and research teams. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative Neuroscience, Neurology, Cognitive Science, Psychology or related field executing data analysis. Master's degree preferred. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Substantial experience with MS Office and analytical programs such as Python, R, SQL, C++ (STL). Strong writing and analytical skills. Ability to prioritize workload. High level of self-motivation and ability to work independently. Resourcefulness, careful attention to detail, and strong organizational skills. High tolerance for ambiguity, demonstrated flexibility, and a willingness to accept new responsibilities. 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. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. 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. Additional Information Schedule: Full-time Job Code: 4751 Employee Status: Regular Grade: G Requisition ID: 107775 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Research Data Analyst 1 School of Medicine, Stanford, California, United States Information Analytics Nov 20, 2025 Post Date 107775 Requisition # The Stanford Autonomic Disorders Program in the Department of Neurology & Neurological Sciences, is seeking to hire a Research Data Analyst 1 to manage and analyze large amount of physiological data for clinical projects on autonomic disorders. We are seeking a Research Data Analyst who will work with the team under the guidance of supervisors to organize and maintain a database of autonomic dysfunction in small fiber neuropathies, Long-COVID/PASC, hypersomnia, and aid in the preprocessing and analysis of other physiological and patient-reported data collected in the Autonomic Discords Program. The candidate will work in closely with the investigators in the division to implement and execute analysis pipelines for data collected within the division as well as with collaborators in other divisions and departments. Duties include : Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. Analyze data processes in documentation. Collaborate with faculty and research staff on data collection and analysis methods. - Other duties may also be assigned. DESIRED QUALIFICATIONS: Minimum 2 years of Statistics, Biostatistics, Bioinformatics or related field experience preferred. Experience using machine learning algorithms in Prism, MATLAB, and Python. Skilled in R, SQL, C++ (STL), Frameworks and Libraries:, Pandas, NumPy, PyTorch. Computer vision and machine learning (e.g., image segmentation, clustering, and classification models). Familiarity with REDCap, Excel-based data capture, and research documentation. Ability to multi-task various projects with different timelines. Ability to collaborate with senior investigators. Relevant background in Neuroscience, Neurology, Cognitive Science, Psychology or related field. Strong communication of analytical findings to both clinical and research teams. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative Neuroscience, Neurology, Cognitive Science, Psychology or related field executing data analysis. Master's degree preferred. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Substantial experience with MS Office and analytical programs such as Python, R, SQL, C++ (STL). Strong writing and analytical skills. Ability to prioritize workload. High level of self-motivation and ability to work independently. Resourcefulness, careful attention to detail, and strong organizational skills. High tolerance for ambiguity, demonstrated flexibility, and a willingness to accept new responsibilities. 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. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. 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. Additional Information Schedule: Full-time Job Code: 4751 Employee Status: Regular Grade: G Requisition ID: 107775 Work Arrangement : Hybrid Eligible
Senior Data Analyst
InsideHigherEd Riverside, California
The Senior Data Analyst for UCR School of Medicine's Finance and Administration team supports the strategic growth and operational effectiveness of UCR Health by developing, maintaining, and optimizing business intelligence (BI) and data analytics solutions. Reporting to the Director of Data Analytics, this position serves as the technical expert in data extraction, transformation, and visualization-primarily using Epic Clarity, MS-SQL, Power BI, and related tools. The role is responsible for designing and implementing advanced dashboards and reports that provide actionable insights into clinical and administrative performance, enabling data-driven decision-making across departments.The incumbent collaborates closely with UCR Health leadership, campus IT, and key stakeholders to assess data needs, ensure data integrity, and develop efficient BI processes that align with organizational goals. This position plays a critical role in supporting financial planning, operational efficiency, and regulatory compliance through accurate data analysis, reporting, and forecasting.The salary range for the Senior Data Analyst is $84,100 to $154,700 annually. However, the expected pay scale for this position is up to $119,400 annually. We base salary offers on a variety of considerations, such as education, licensure and certifications, experience, and other business and organizational needs.Applicants must have current work authorization when accepting a UCR staff position. Currently, we are unable to sponsor or take over sponsorship of an employment Visa for staff.As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
01/14/2026
Full time
The Senior Data Analyst for UCR School of Medicine's Finance and Administration team supports the strategic growth and operational effectiveness of UCR Health by developing, maintaining, and optimizing business intelligence (BI) and data analytics solutions. Reporting to the Director of Data Analytics, this position serves as the technical expert in data extraction, transformation, and visualization-primarily using Epic Clarity, MS-SQL, Power BI, and related tools. The role is responsible for designing and implementing advanced dashboards and reports that provide actionable insights into clinical and administrative performance, enabling data-driven decision-making across departments.The incumbent collaborates closely with UCR Health leadership, campus IT, and key stakeholders to assess data needs, ensure data integrity, and develop efficient BI processes that align with organizational goals. This position plays a critical role in supporting financial planning, operational efficiency, and regulatory compliance through accurate data analysis, reporting, and forecasting.The salary range for the Senior Data Analyst is $84,100 to $154,700 annually. However, the expected pay scale for this position is up to $119,400 annually. We base salary offers on a variety of considerations, such as education, licensure and certifications, experience, and other business and organizational needs.Applicants must have current work authorization when accepting a UCR staff position. Currently, we are unable to sponsor or take over sponsorship of an employment Visa for staff.As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
RESEARCH DATA ANALYST I, School of Medicine, Physiology & Biophysics
InsideHigherEd Boston, Massachusetts
RESEARCH DATA ANALYST I, School of Medicine, Physiology & Biophysics Job Description RESEARCH DATA ANALYST I, School of Medicine, Physiology & Biophysics Category Boston University Medical Campus > Professional Job Location Boston, MA, United States Tracking Code Posted Date 11/20/2025 Salary Grade Grade 45 Expected Hiring Range Minimum $48,075.00 Expected Hiring Range Maximum $60,625.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular This position supports research activities focused on the neurobiological and molecular mechanisms underlying stress-related psychiatric disorders conducted in the laboratory of Nikolaos P. Daskalakis, MD PhD at the Department of Pharmacology, Physiology and Biophysics. The role supports the analysis and integration of multi-omic and clinical data from both human and animal models, including gene expression, epigenetic, endocrine, and behavioral datasets. Responsibilities include supporting data processing workflows, assisting with molecular assays, and collaborating closely with other team members on computational and experimental efforts. The role requires a background in neuroscience, molecular biology, bioinformatics, or a related field, with experience working with large datasets and biological samples. Tasks are performed in a collaborative environment and under the supervision of senior scientific staff. Required Skills Bachelor's and 1-3 years experience. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor. Required Skills Job Location: Boston, MA Position Type: Full-Time/Regular Salary Grade: $48,075.00-$60,625.00 To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-b175e9465ec350469ca79ce2760daf76
01/14/2026
Full time
RESEARCH DATA ANALYST I, School of Medicine, Physiology & Biophysics Job Description RESEARCH DATA ANALYST I, School of Medicine, Physiology & Biophysics Category Boston University Medical Campus > Professional Job Location Boston, MA, United States Tracking Code Posted Date 11/20/2025 Salary Grade Grade 45 Expected Hiring Range Minimum $48,075.00 Expected Hiring Range Maximum $60,625.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular This position supports research activities focused on the neurobiological and molecular mechanisms underlying stress-related psychiatric disorders conducted in the laboratory of Nikolaos P. Daskalakis, MD PhD at the Department of Pharmacology, Physiology and Biophysics. The role supports the analysis and integration of multi-omic and clinical data from both human and animal models, including gene expression, epigenetic, endocrine, and behavioral datasets. Responsibilities include supporting data processing workflows, assisting with molecular assays, and collaborating closely with other team members on computational and experimental efforts. The role requires a background in neuroscience, molecular biology, bioinformatics, or a related field, with experience working with large datasets and biological samples. Tasks are performed in a collaborative environment and under the supervision of senior scientific staff. Required Skills Bachelor's and 1-3 years experience. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor. Required Skills Job Location: Boston, MA Position Type: Full-Time/Regular Salary Grade: $48,075.00-$60,625.00 To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-b175e9465ec350469ca79ce2760daf76
Senior Data Analyst
InsideHigherEd Columbus, Ohio
Screen reader users may encounter difficulty with this site. For assistance with applying, please contact . If you have questions while submitting an application, please review these frequently asked questions .Current Employees and Students:If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title:Senior Data AnalystDepartment:Dentistry Information Technology The College of Dentistry (CoD) Information Systems IT department invites you to be a key part of our team as a Senior Data Analyst. In joining our team, you'll support the research, academic, and patient care missions of our college. In this role you will help maintain and innovate operations from a data analytics and data governance standpoint. This new position will have the opportunity to develop new reporting and data driven decision making as our college transitions to the Epic Electronic Health Record Application. In partnering with other college faculty and staff you will assist in extracting data, normalizing data, and helping present data to key stakeholders. Working within Epic and Tableau, your role will develop new dashboards and visualizations, create data definitions, and support a centralized data governance model. Within this role you will have access to exciting project opportunities, cross-unit collaboration, and the university's professional development resources to support your growth and success. This position reports to the Assistant Dean of Information Technology at the College of Dentistry. What You'll Do: Understand data needs to maintain existing reporting services while developing new capabilities that drive business value. Lead functional design for capturing, extracting, storing, and disseminating data across the organization. Help assess data quality and completeness. Use both qualitative and quantitative methods to assess data requests. Develop and maintain Tableau Dashboards to meet key stakeholder objectives. This could include supporting clinical operations, academic progress, or strategic projects to support the Colleges Strategic Plan. Consult with clinics, academic leaders, and research areas to analyze requests and define business requirements. Use project management fundamentals to manage timelines, objectives, scope, communication, change management, and implementation. As a data owner, work to define data values so all members of the college of dentistry, the Medical Center, and external collaborators are clear on data definitions. Support the data retention policies and lifecycle process. Support our end users through tickets, phone calls, walk-ins, user education, or through strategic projects. This position has regular weekly on-site responsibilities. Work Schedule: Monday - Friday, 7:30 am - 4:30 pm. Evenings and weekends only if needed. Flexible scheduling and some remote work days are possibly available for this position. Targeted hiring pay range is between $81,800 - $106,900 dependent on experience and education. Skills Needed: Bachelor's degree or equivalent experience, plus 4 years of experience leading projects or work in the field of data analytics is required; 4-8 years of relevant experience is preferred. Professional experience in developing data visualizations through tools such as Tableau. Professional experience with query languages such as PL/SQL, MySql, and T-SQL and databases like SQL Server, Oracle and/or MySQL are required. Familiarity with Python development. Demonstrated ability to perform quantitative and qualitative data analysis. Excellent written and verbal communication skills. Such as leading a presentation of data findings or working with key stakeholders on defining requirements. Ability to communicate complex technical information to non-technical stakeholders. Proven ability to document work in the form of SOPs, READMEs, process mapping, workflow diagrams, and code comments. Ohio State University will not sponsor applicants for work visas for this position. The final candidate must successfully complete a background check and a drug and alcohol screening. Additional Information:Location:Postle Hall (0024)Position Type:RegularScheduled Hours:40Shift:First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.
01/14/2026
Full time
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Job Title:Senior Data AnalystDepartment:Dentistry Information Technology The College of Dentistry (CoD) Information Systems IT department invites you to be a key part of our team as a Senior Data Analyst. In joining our team, you'll support the research, academic, and patient care missions of our college. In this role you will help maintain and innovate operations from a data analytics and data governance standpoint. This new position will have the opportunity to develop new reporting and data driven decision making as our college transitions to the Epic Electronic Health Record Application. In partnering with other college faculty and staff you will assist in extracting data, normalizing data, and helping present data to key stakeholders. Working within Epic and Tableau, your role will develop new dashboards and visualizations, create data definitions, and support a centralized data governance model. Within this role you will have access to exciting project opportunities, cross-unit collaboration, and the university's professional development resources to support your growth and success. This position reports to the Assistant Dean of Information Technology at the College of Dentistry. What You'll Do: Understand data needs to maintain existing reporting services while developing new capabilities that drive business value. Lead functional design for capturing, extracting, storing, and disseminating data across the organization. Help assess data quality and completeness. Use both qualitative and quantitative methods to assess data requests. Develop and maintain Tableau Dashboards to meet key stakeholder objectives. This could include supporting clinical operations, academic progress, or strategic projects to support the Colleges Strategic Plan. Consult with clinics, academic leaders, and research areas to analyze requests and define business requirements. Use project management fundamentals to manage timelines, objectives, scope, communication, change management, and implementation. As a data owner, work to define data values so all members of the college of dentistry, the Medical Center, and external collaborators are clear on data definitions. Support the data retention policies and lifecycle process. Support our end users through tickets, phone calls, walk-ins, user education, or through strategic projects. This position has regular weekly on-site responsibilities. Work Schedule: Monday - Friday, 7:30 am - 4:30 pm. Evenings and weekends only if needed. Flexible scheduling and some remote work days are possibly available for this position. Targeted hiring pay range is between $81,800 - $106,900 dependent on experience and education. Skills Needed: Bachelor's degree or equivalent experience, plus 4 years of experience leading projects or work in the field of data analytics is required; 4-8 years of relevant experience is preferred. Professional experience in developing data visualizations through tools such as Tableau. Professional experience with query languages such as PL/SQL, MySql, and T-SQL and databases like SQL Server, Oracle and/or MySQL are required. Familiarity with Python development. Demonstrated ability to perform quantitative and qualitative data analysis. Excellent written and verbal communication skills. Such as leading a presentation of data findings or working with key stakeholders on defining requirements. Ability to communicate complex technical information to non-technical stakeholders. Proven ability to document work in the form of SOPs, READMEs, process mapping, workflow diagrams, and code comments. Ohio State University will not sponsor applicants for work visas for this position. The final candidate must successfully complete a background check and a drug and alcohol screening. Additional Information:Location:Postle Hall (0024)Position Type:RegularScheduled Hours:40Shift:First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.
Research Data Analyst 2
InsideHigherEd Stanford, California
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
01/14/2026
Full time
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
Senior Epic Analyst (Beacon/Willow)
Boston Children's Hospital Boston, Massachusetts
Position Summary: The Senior Epic Analyst - Beacon/Willow is primarily responsible for protocol and medication build and the configuration, implementation, and ongoing support of Epic Beacon (Oncology) workflows. This role collaborates closely with clinical teams, operational leaders, and IT colleagues to ensure Beacon functionality aligns with clinical protocols, medication management, and organizational objectives. The analyst serves as a key liaison between end users and technical teams to optimize workflows, troubleshooting issues, and support system enhancements. Principal Duties and Responsibilities: Lead protocol builds in Epic Beacon, including treatment plans, orders, and clinical workflows. (Protocols experience required) Support medication builds and other pharmacy workflows Partner with oncology clinical staff to understand protocol requirements and translate them into effective Epic workflows. Configure, maintain, and support Epic Beacon workflows. Participate in testing, validation, and optimization initiatives for new or updated Beacon functionality. Troubleshoot and resolve issues related to Beacon workflows, escalating complex problems as needed. Develop and maintain documentation, including workflow diagrams, build guides, and support materials. Collaborate with IT, pharmacy, and clinical teams to ensure successful adoption of system changes. Support ongoing training and education for clinical staff related to Beacon functionality. Participate in system upgrades, go-live activities, and optimization projects. Provide tier-two support and serve as a subject matter expert for Beacon users. Minimum Qualifications: Bachelor's degree or equivalent experience in healthcare, IT, or related field. 5 years of experience directly involved in Epic application support performing builds in the targeted application(s). Demonstrated experience with protocol and medication management/build in oncology or complex clinical workflows. Strong problem-solving, analytical, and communication skills. Ability to collaborate effectively with clinical, operational, and IT teams. Understanding of Willow medication build or prior Willow experience Preferred Qualifications: Experience working in a hospital or academic medical center environment. Familiarity with oncology medication management, chemotherapy protocols, and clinical decision support. Experience with Epic upgrades, testing, and optimization projects. Certifications: Epic Beacon and Willow - Required The posted pay range is Boston Children's reasonable and good-faith expectation for this pay at the time of posting. Any base pay offer provided depends on skills, experience, education, certifications, and a variety of other job-related factors. Base pay is one part of a comprehensive benefits package that includes flexible schedules, affordable health, vision and dental insurance, child care and student loan subsidies, generous levels of time off, 403(b) Retirement Savings plan, Pension, Tuition and certain License and Certification Reimbursement, cell phone plan discounts and discounted rates on T-passes. Experience the benefits of passion and teamwork.
01/11/2026
Full time
Position Summary: The Senior Epic Analyst - Beacon/Willow is primarily responsible for protocol and medication build and the configuration, implementation, and ongoing support of Epic Beacon (Oncology) workflows. This role collaborates closely with clinical teams, operational leaders, and IT colleagues to ensure Beacon functionality aligns with clinical protocols, medication management, and organizational objectives. The analyst serves as a key liaison between end users and technical teams to optimize workflows, troubleshooting issues, and support system enhancements. Principal Duties and Responsibilities: Lead protocol builds in Epic Beacon, including treatment plans, orders, and clinical workflows. (Protocols experience required) Support medication builds and other pharmacy workflows Partner with oncology clinical staff to understand protocol requirements and translate them into effective Epic workflows. Configure, maintain, and support Epic Beacon workflows. Participate in testing, validation, and optimization initiatives for new or updated Beacon functionality. Troubleshoot and resolve issues related to Beacon workflows, escalating complex problems as needed. Develop and maintain documentation, including workflow diagrams, build guides, and support materials. Collaborate with IT, pharmacy, and clinical teams to ensure successful adoption of system changes. Support ongoing training and education for clinical staff related to Beacon functionality. Participate in system upgrades, go-live activities, and optimization projects. Provide tier-two support and serve as a subject matter expert for Beacon users. Minimum Qualifications: Bachelor's degree or equivalent experience in healthcare, IT, or related field. 5 years of experience directly involved in Epic application support performing builds in the targeted application(s). Demonstrated experience with protocol and medication management/build in oncology or complex clinical workflows. Strong problem-solving, analytical, and communication skills. Ability to collaborate effectively with clinical, operational, and IT teams. Understanding of Willow medication build or prior Willow experience Preferred Qualifications: Experience working in a hospital or academic medical center environment. Familiarity with oncology medication management, chemotherapy protocols, and clinical decision support. Experience with Epic upgrades, testing, and optimization projects. Certifications: Epic Beacon and Willow - Required The posted pay range is Boston Children's reasonable and good-faith expectation for this pay at the time of posting. Any base pay offer provided depends on skills, experience, education, certifications, and a variety of other job-related factors. Base pay is one part of a comprehensive benefits package that includes flexible schedules, affordable health, vision and dental insurance, child care and student loan subsidies, generous levels of time off, 403(b) Retirement Savings plan, Pension, Tuition and certain License and Certification Reimbursement, cell phone plan discounts and discounted rates on T-passes. Experience the benefits of passion and teamwork.
Applications Systems Analyst Sr - Epic Cheers - Analytics
UNC Health Morrisville, North Carolina
Description Become part of an inclusive organization with over 40,000 teammates, whose mission is to improve the health and well-being of the unique communities we serve. Summary: UNC Health's Digital Health & Innovation team is seeking a highly skilled Senior Analyst with expertise in Epic Cheers Campaigns and/or Healthy Planet to help advance our patient engagement and marketing automation strategy. This position will focus on building and optimizing front-end campaign logic to accurately identify and target the right patient and prospective patient populations, ensuring our outreach efforts are data-driven, compliant, and aligned with organizational goals. In addition to supporting traditional patient engagement efforts, this role will collaborate closely with Marketing and Population Health teams to ingest and operationalize prospective patient data into Epic Cheers. The Senior Analyst will also design and maintain robust reporting and dashboards to measure campaign performance, ROI, and the overall value delivered to UNC Health. Responsibilities: Design, build, and maintain Epic Cheers Campaigns using complex rules and logic to identify appropriate populations for targeted outreach. Partner with Marketing and Analytics teams to integrate prospective patient data sources into Epic, enabling outreach to potential patients not yet attributed to UNC Health. Translate campaign requirements into efficient and scalable logic within Epic (using Rule Editor, Reporting Workbench, Healthy Planet registries, or Clarity/Caboodle queries). Develop and support comprehensive campaign performance dashboards, tracking metrics such as reach, engagement, conversion, and ROI. Collaborate with stakeholders to define value frameworks for campaigns (e.g., downstream appointments, care gap closure, network retention, or revenue influence). Ensure campaign data accuracy, segmentation integrity, and consistency across multiple concurrent initiatives. Establish and maintain standardized templates and governance for campaign logic, documentation, and reporting. Identify opportunities to improve efficiency, automation, and alignment between clinical, operational, and marketing outreach. Support UNC Health's strategic shift toward data-driven, omnichannel engagement, leveraging the Epic platform as the foundation for personalized outreach and patient experience improvement. The ideal candidate will have 3+ years of hands-on Epic experience, preferably with Epic Cheers Campaigns, Healthy Planet, or other population management tools. Proven ability to analyze requirements and build data logic to support targeted campaigns. Experience with Epic reporting tools (Rule Editor, Reporting Workbench, SlicerDicer, Clarity/Caboodle). Strong analytical, documentation, and organizational skills with a detail-oriented mindset. Demonstrated ability to manage multiple projects in a fast-paced environment and communicate effectively across business and technical teams. Other Information Education Requirements: Bachelor's degree in Computer Science, Information Systems Management or related field (or equivalent combination of education, training and experience). Licensure/Certification Requirements: Preferred: Epic certification or "accreditation" in Cheers Campaigns and/or Healthy Planet (or similar Epic modules such as MyChart) Professional Experience Requirements: If a Bachelor's degree: Four (4) years of experience with IT systems and/or related operational experience. If an Associate's degree: Six (6) years of IT systems and/or related operational experience. If a High School diploma or GED: Eight (8) years of IT systems and/or related operational experience. Knowledge/Skills/and Abilities Requirements: Excellent analytical and communication skills. Ability to work well in a team environment. Demonstrated ability to successfully manage multiple tasks simultaneously. Highly responsive to internal customers. Job Details Legal Employer: NCHEALTH Entity: Shared Services Organization Unit: ISD Business and Revenue Cycle Work Type: Full Time Standard Hours Per Week: 40.00 Salary Range: $41.45 - $59.58 per hour (Hiring Range) Pay offers are determined by experience and internal equity Work Assignment Type: Remote Work Schedule: Day Job Location of Job: US:NC:Morrisville Exempt From Overtime: Exempt: Yes This position is employed by NC Health (Rex Healthcare, Inc., d/b/a NC Health), a private, fully-owned subsidiary of UNC Health Care System, in a department that provides shared services to operations across UNC Health Care; except that, if you are currently a UNCHCS State employee already working in a designated shared services department, you may remain a UNCHCS State employee if selected for this job. Qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, status as a protected veteran or political affiliation. UNC Health makes reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as applicants and employees with disabilities. All interested applicants are invited to apply for career opportunities. Please email if you need a reasonable accommodation to search and/or to apply for a career opportunity.
01/09/2026
Full time
Description Become part of an inclusive organization with over 40,000 teammates, whose mission is to improve the health and well-being of the unique communities we serve. Summary: UNC Health's Digital Health & Innovation team is seeking a highly skilled Senior Analyst with expertise in Epic Cheers Campaigns and/or Healthy Planet to help advance our patient engagement and marketing automation strategy. This position will focus on building and optimizing front-end campaign logic to accurately identify and target the right patient and prospective patient populations, ensuring our outreach efforts are data-driven, compliant, and aligned with organizational goals. In addition to supporting traditional patient engagement efforts, this role will collaborate closely with Marketing and Population Health teams to ingest and operationalize prospective patient data into Epic Cheers. The Senior Analyst will also design and maintain robust reporting and dashboards to measure campaign performance, ROI, and the overall value delivered to UNC Health. Responsibilities: Design, build, and maintain Epic Cheers Campaigns using complex rules and logic to identify appropriate populations for targeted outreach. Partner with Marketing and Analytics teams to integrate prospective patient data sources into Epic, enabling outreach to potential patients not yet attributed to UNC Health. Translate campaign requirements into efficient and scalable logic within Epic (using Rule Editor, Reporting Workbench, Healthy Planet registries, or Clarity/Caboodle queries). Develop and support comprehensive campaign performance dashboards, tracking metrics such as reach, engagement, conversion, and ROI. Collaborate with stakeholders to define value frameworks for campaigns (e.g., downstream appointments, care gap closure, network retention, or revenue influence). Ensure campaign data accuracy, segmentation integrity, and consistency across multiple concurrent initiatives. Establish and maintain standardized templates and governance for campaign logic, documentation, and reporting. Identify opportunities to improve efficiency, automation, and alignment between clinical, operational, and marketing outreach. Support UNC Health's strategic shift toward data-driven, omnichannel engagement, leveraging the Epic platform as the foundation for personalized outreach and patient experience improvement. The ideal candidate will have 3+ years of hands-on Epic experience, preferably with Epic Cheers Campaigns, Healthy Planet, or other population management tools. Proven ability to analyze requirements and build data logic to support targeted campaigns. Experience with Epic reporting tools (Rule Editor, Reporting Workbench, SlicerDicer, Clarity/Caboodle). Strong analytical, documentation, and organizational skills with a detail-oriented mindset. Demonstrated ability to manage multiple projects in a fast-paced environment and communicate effectively across business and technical teams. Other Information Education Requirements: Bachelor's degree in Computer Science, Information Systems Management or related field (or equivalent combination of education, training and experience). Licensure/Certification Requirements: Preferred: Epic certification or "accreditation" in Cheers Campaigns and/or Healthy Planet (or similar Epic modules such as MyChart) Professional Experience Requirements: If a Bachelor's degree: Four (4) years of experience with IT systems and/or related operational experience. If an Associate's degree: Six (6) years of IT systems and/or related operational experience. If a High School diploma or GED: Eight (8) years of IT systems and/or related operational experience. Knowledge/Skills/and Abilities Requirements: Excellent analytical and communication skills. Ability to work well in a team environment. Demonstrated ability to successfully manage multiple tasks simultaneously. Highly responsive to internal customers. Job Details Legal Employer: NCHEALTH Entity: Shared Services Organization Unit: ISD Business and Revenue Cycle Work Type: Full Time Standard Hours Per Week: 40.00 Salary Range: $41.45 - $59.58 per hour (Hiring Range) Pay offers are determined by experience and internal equity Work Assignment Type: Remote Work Schedule: Day Job Location of Job: US:NC:Morrisville Exempt From Overtime: Exempt: Yes This position is employed by NC Health (Rex Healthcare, Inc., d/b/a NC Health), a private, fully-owned subsidiary of UNC Health Care System, in a department that provides shared services to operations across UNC Health Care; except that, if you are currently a UNCHCS State employee already working in a designated shared services department, you may remain a UNCHCS State employee if selected for this job. Qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, status as a protected veteran or political affiliation. UNC Health makes reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as applicants and employees with disabilities. All interested applicants are invited to apply for career opportunities. Please email if you need a reasonable accommodation to search and/or to apply for a career opportunity.
Non-Clinical - Finance/Accounting/Business Analyst
Axelon Services Corporation Denver, Colorado
Possible Contract to Hire Business Partner - Finance Job Summary Under minimal supervision performs financial analysis of complex program or expansion projects, utilizing hospital system data to identify key metrics, ratios, and trends for various programs, and create reports to reflect financial projections and results per DHHA financial review standards. Produce various monthly department/functional area reporting with actionable executive level variance commentary (budget comparison, Flex-Budget & Trend) to assist in department and executive variance analysis. Assist department managers in preparing annual budget and forecasts to ensure accurate and timely budget and forecast completion. Essential Functions: Understand all elements of the assigned departments business (i.e. Health Care Company benchmarking, Productivity Metrics). Perform financial analysis of projects, budget expansions or current operations. Include financial ratios where appropriate, ROI, income statement proformas and summarized results per DHHA financial standards. Chart and graph key metrics, analysis results and financial and budget trends. Follow-up projects to measure success or assist with course corrections. Coordinate and participate in budget expansion process, line of business review, and operations analyses. (25%) Assist managers in preparing annual budget and forecast, monitoring expenses, and identifying key areas for cost containment or reductions. Utilize budget software to identify variances and produce reports to monitor staffing, supplies, revenues and general expenses. Assist in preparing personnel budget impact reports. Develop worksheets to accumulate budget/forecast development assumptions. (25%) Participate in monthly hospital-wide variance reporting, financial statement creation and researching accounting variances. Produce monthly reports for executive management and departments to communicate month-end results. Provide actionable executive level variance analysis as directed, and within the stated monthly close process. (25%) Education: Bachelor's Degree Required Work Experience: 4-6 years Typically 3-5 years of experience in a senior analyst capacity analyzing business projects, preparing financial reports, analyzing data, calculating financial ratios. Required and Healthcare and SQL reporting experience preferred. Knowledge, Skills and Abilities: Ability to quickly understand operations and key financial components to create a financial analysis, model the project or operation, and summarize results. Strong financial skills and background in budget preparation and working with departments. Excellent written and oral communications skills. Excellent interpersonal skills. Proficient in Microsoft Excel, Word, Power Point, and working with databases
01/07/2026
Full time
Possible Contract to Hire Business Partner - Finance Job Summary Under minimal supervision performs financial analysis of complex program or expansion projects, utilizing hospital system data to identify key metrics, ratios, and trends for various programs, and create reports to reflect financial projections and results per DHHA financial review standards. Produce various monthly department/functional area reporting with actionable executive level variance commentary (budget comparison, Flex-Budget & Trend) to assist in department and executive variance analysis. Assist department managers in preparing annual budget and forecasts to ensure accurate and timely budget and forecast completion. Essential Functions: Understand all elements of the assigned departments business (i.e. Health Care Company benchmarking, Productivity Metrics). Perform financial analysis of projects, budget expansions or current operations. Include financial ratios where appropriate, ROI, income statement proformas and summarized results per DHHA financial standards. Chart and graph key metrics, analysis results and financial and budget trends. Follow-up projects to measure success or assist with course corrections. Coordinate and participate in budget expansion process, line of business review, and operations analyses. (25%) Assist managers in preparing annual budget and forecast, monitoring expenses, and identifying key areas for cost containment or reductions. Utilize budget software to identify variances and produce reports to monitor staffing, supplies, revenues and general expenses. Assist in preparing personnel budget impact reports. Develop worksheets to accumulate budget/forecast development assumptions. (25%) Participate in monthly hospital-wide variance reporting, financial statement creation and researching accounting variances. Produce monthly reports for executive management and departments to communicate month-end results. Provide actionable executive level variance analysis as directed, and within the stated monthly close process. (25%) Education: Bachelor's Degree Required Work Experience: 4-6 years Typically 3-5 years of experience in a senior analyst capacity analyzing business projects, preparing financial reports, analyzing data, calculating financial ratios. Required and Healthcare and SQL reporting experience preferred. Knowledge, Skills and Abilities: Ability to quickly understand operations and key financial components to create a financial analysis, model the project or operation, and summarize results. Strong financial skills and background in budget preparation and working with departments. Excellent written and oral communications skills. Excellent interpersonal skills. Proficient in Microsoft Excel, Word, Power Point, and working with databases

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