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Jobs Posted on the Whova Community Board of 45th Annual North American Meeting

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Full time Research Assistant (CHeRP)
Harvard Pilgrim Health Care Institute
Harvard Pilgrim Health Care Institute (HPHCI) is currently seeking a highly motivated individual to join our organization as a Research Assistant for the Division of Child Health Research and Policy (CHeRP), within the Department of Population Medicine (DPM; The DPM is jointly sponsored by Harvard Medical School and the Harvard Pilgrim Health Care Institute.

CHeRP’s mission is to conduct research that enhances health care decision-making by patients and their families, clinicians, and policymakers, and improves the quality of pediatric care in healthcare delivery systems. The Research Assistant will be responsible for coordinating the day-to-day activities of ongoing research projects within CHeRP. These activities may include conducting literature reviews to generate inputs for a health policy simulation model, running and compiling results from the simulation model, and generating tables of results. The Research Assistant may also help with scheduling interviews with research participants, survey development, qualitative and quantitative data coding/analysis, and drafting manuscripts and presentations for research projects. This is an excellent opportunity for individuals interested in an academic research career, but is not appropriate for someone who already has a PhD.
Research Scientist (epi/pharmacoepi)
Harvard Pilgrim Health Care Institute
Harvard Pilgrim Health Care Institute is currently seeking a highly motivated individual to join the Division of Therapeutics Research and Infectious Disease Epidemiology (TIDE) within Harvard Medical School’s Department of Population Medicine ( as an Epidemiologist/Research Scientist I. TIDE is the home of several large, complex, multi-institutional research initiatives based within health systems using electronic health data that support major national public health activities. Our mission is to improve health care delivery and population health through research and education, in partnership with health plans, delivery systems, and public health agencies. The Epidemiologist plays a crucial role in supporting key initiatives and projects in TIDE’s portfolio.

Working under the general direction of principal investigators (PIs), the Epidemiologist is responsible for participating in and leading TIDE studies using health data such as administrative claims data and electronic health records. The Epidemiologist will support the Sentinel System (, a program sponsored by the U.S. Food and Drug Administration (FDA) for monitoring the safety of FDA-regulated medical products. The Epidemiologist may also lead or participate in projects with academic or industry collaborators, including studies focused on vaccines.
Research Coordinator (violence prevention research)
Seattle Children's Research Institute
This position will work closely with Principal Investigator, Dr. Alice Ellyson, and assist in managing and coordinating many activities of her research program. A major component of this new position will be to assist on a recently funded R01 project funded by the Centers for Disease Control and Prevention entitled “Preventing firearm-related harm through domestic violence protection order firearm prohibitions and relinquishment.” This study will rigorously evaluate the effectiveness of implementing domestic violence protection order (DVPO) firearm prohibitions in reducing subsequent firearm-related crime, injury, and death of victim-survivors / petitioners, protected minors, and respondents.

Dr. Ellyson’s team is searching for someone to fill this role with an interest in violence prevention research, education in a relevant discipline (e.g., public health, health policy, public policy, government, pre-law, womens and gender studies, criminology, psychology, communication, sociology), and knowledge of economic, health, and other social policy. With the guidance of the PI, this role will assist with the development of data collection documents; read and abstract information from legal documents; record research data into online REDCAP database or equivalent; and adhere to numerous data use agreements. This position will require the ability to travel to courthouses as needed to support data abstraction. Prior work or research experience in a sensitive area (e.g., gender-based violence, sexual violence, intimate partner violence, substance use) is preferred.
Montreal AI postdoc fellowship
McGill University
I’m writing to share the IVADO Postdoctoral Fellowship, which supports AI-related research in Montreal, Canada. Eligible candidates interested in the Data-Driven Decision Modeling lab (D3Mod) at McGill can let me know via email (please include a CV). Candidates must have received a PhD after 2020 or expect to receive a PhD by September 2024.

IVADO postdoc fellowship (Application deadline: 27 Nov 2023): 10 two-year fellowships will provide CAD$75,000/year for salary and benefits, and the supervisor will commit $30,000/year in research support for projects relevant to the R3AI initiative “Shifting Paradigms for a Robust, Reasoning and Responsible Artificial Intelligence and its Adoption.”

D3Mod Lab

The Data-Driven Decision Modeling Lab–or D3Mod Lab–aims to enable the efficient, effective, and equitable use of finite healthcare resources. We use do so by developing, assessing, and applying traditional decision modeling methods (mathematical modeling, simulation, optimization) together with data-driven methods (machine learning, Bayesian statistics). Our work informs challenging decisions in health policy and medicine. We are part of the McGill Clinical and Health Informatics Group and School for Population and Global Health.

Potential topics in D3Mod lab: Projects in the following areas would be complementary to our work:
* Integrating machine learning models into decision-analytic models to improve estimation of the heterogeneous impact of health policies & inform health equity
* Estimating uncertainty in machine learning predictions with conformal predictive systems for healthcare applications
* Assessing AI technologies used to prevent and treat of colorectal cancer
* AI prediction for blood donor management: minimizing donation-associated iron deficiency and/or improving donor recruitment and retention
* Optimizing use of AI models for parametric staffing & ambulance deployment
Assistant or Associate Professor / Research
UT Health San Antonio
Exciting faculty position opportunity for MD or PhD in the 7th largest city in the US.
Postdoctoral fellow (decision modeling and cancer control)
Boston Children's Hospital/Harvard Medical School
The Division of General Pediatrics at Boston Children’s Hospital is seeking a highly motivated decision scientist, epidemiologist, health services or outcomes researcher with an interest in cancer control. The postdoctoral fellow will work on several NCI-funded projects across the cancer continuum, including from gastric cancer prevention, breast cancer screening and childhood cancer survivorship.

The projects will focus on providing insight on clinical and policy questions surrounding cancer control and disparities by conducting comparative and cost-effectiveness analyses. The fellowship will entail working closely with breast and gastric models from the NCI-sponsored Cancer Intervention and Surveillance Modeling Network (CISNET), as well as established collaborative research teams across institutions.

The main areas of emphasis will include leading original analyses and manuscripts, career development, and transition towards an independent research career. This position is ideal for someone with a strong interest in modeling who is looking to expand their work into cancer or seeking to dive deeper into cancer control research.

Minimum qualifications
• PhD, ScD or an equivalent doctoral degree in decision science, epidemiology, health services research, applied mathematics, computer science, or related quantitative field
• Experience working with model output from microsimulation models in C++ or Java
• Familiarity with Java and/or using high performance computing preferred
• Proficiency in R for data processing and visualization
• Experience with simulation model development/parameterization, economic evaluation and outcomes research
• Interest in cancer prevention, treatment and survivorship
• Excellent analytic, quantitative, writing, and communication skills
• Demonstrated ability to work independently and with collaborative research teams

See link for full details (you have to scroll down to middle of the page).

Thank you!
Postdocs in health data science at Stanford
sharing for Sherri Rose at Stanford

Multiple postdocs in health data science at Stanford!

I look for potential & skills (either algorithmic bias and fairness or microsimulation modeling); elite degrees & fancy publications not required.

Pay range: $107,000-$115,000

#stats #healthpolicy #academicsky
Principal HEOR data analyst
Boston Scientific
Responsible for executing health economics and outcomes research (HEOR) analysis and effectively communicating results to key stakeholders as well as identifying opportunities to use data and analytics to drive business decisions.
Postdoc in policy modeling
Stanford University
We’re hiring postdocs in health policy at Stanford!

Come join our team in the Prevention Policy Modeling Lab to work on health and economic modeling that helps guide public health decision making around infectious disease.

Post Doctoral Scholar in Preferences and Engagement
The Ohio State University
The Patient-Centered Outcomes Research Group at The Ohio State University College of Medicine is inviting applications for a post-doctoral scholar. Our Group explores topics at the intersection of social science and medicine. We broadly study the perspectives of patients, clinicians, and other stakeholders in health and across clinical, regulatory, and policy contexts. We apply multidisciplinary approaches including qualitative methods, stakeholder engagement, systematic/scoping reviews, economic evaluation, and survey research. Our group is internationally recognized for expertise in quantitative approaches to measure preferences, priorities, and tradeoffs in health, and lead and collaborate on a number of studies in this space. Examples of projects in our current research portfolio include those related to: patient engagement in cancer genomic sequencing research; advancing methods for measuring preferences in regulatory science; public priorities and privacy concerns around ‘big data’; preference measurement on a variety of topics including multi-cancer screening tests, HIV prevention, and more. Our group is committed to maintain a high level of academic productivity evidenced through publications, national presentations, and grant applications. Our group members are funded by federal agencies (NIH, PCORI, HRSA), as well as through foundation awards. Post-doctoral scholar will work under the lead of John Bridges, PhD, Department of Biomedical Informatics and Norah L Crossnohere, PhD, Department of Internal Medicine.

The post-doctoral scholar will be responsible for leading a research program (topic to be selected based on applicants’ interest) under the guidance of Drs. Bridges and Crossnohere. The scholar will also contribute to the conduct and analysis of ongoing research studies, and participate in publications and grant writing.

Link: None
Assistant or Associate Professor (cancer epi)
University of Wisconsin-Madison
The Department of Population Health Sciences in the University of Wisconsin (UW) School of Medicine and Public Health, in collaboration with the UW Carbone Cancer Center, invites applications for a full-time Assistant/Associate Professor position (tenure track) in the area of cancer epidemiology. Individuals with research programs in survivorship, community-engaged research, the exposome including social determinants of health, and/or novel epidemiologic methods applied to cancer are especially encouraged to apply.
Decision Sciences Post-doctoral Fellowship
University of Michigan
The Center for Bioethics and Social Sciences in Medicine (CBSSM) at the University of Michigan is accepting applications for postdoctoral research fellows in Decision Sciences.

The decision sciences fellowship focuses on understanding and improving the health care communication and decisions made by both patients and providers. Past postdoctoral fellows have included scholars whose research in health care communication and decision making has been grounded in theories and methodologies drawn from social cognition, motivation and emotion, decision psychology, risk communication, human factors, ethics, and economics.

Evaluation of CBSSM fellowship candidates will begin on December 11, 2023 and will be evaluated on a rolling basis through January 10, 2024. These are annual appointments that will start in late summer or early fall of 2024 and may be renewed for one additional year contingent upon satisfactory performance and the availability of funding

All requirements of the PhD or equivalent terminal degree must be completed before a postdoctoral research fellow appointment can begin. Candidates are required to submit a cover letter, including a detailed statement of research interests, a CV, and a writing sample. The letter of research interests should identify potential future research topics (although fellows are encouraged to evolve their interests during the fellowship) and should emphasize, in concrete terms, the applicant’s potential fit to CBSSM’s areas of expertise and how the fellowship fits into their overall career goals. Semi-finalists will be asked to submit three letters of recommendation, so references should be alerted that letters may be requested in January 2024. For questions, please contact All application materials (including recommendation letters) should be submitted electronically through our online application at
Post doc in discrete choice, health economics, & outcomes
Post doc in discrete choice, health economics, & outcomes
Link: None
Research Scientist / Assistant Professor
Centre for Advancing Health Outcomes / University British Columbia
Bridging the gap between data, research, and care, Advancing Health is a collaboration between cross-
disciplinary scientists and expert research staff evaluating the effectiveness of health interventions at the population level. From assessing the cost-effectiveness of a new drug or treatment option to informing policy decisions that change how care is delivered, Advancing Health seeks to improve health outcomes for all.

The Scientist will be responsible for co-managing Advancing Health’s health economics program, which includes guiding the strategic direction of the program, supervising program staff, consulting with clients on health economics-related research queries, as well as obtaining research and service grants.

The successful candidate will be recommended for a partner track appointment with the University of British
Columbia (UBC) in a relevant academic unit, such as the School of Population and Population and Public Health.

Advancing Health will work with the academic unit to facilitate this appointment process. Should a UBC partner appointment be granted, this appointment will come with responsibilities associated with such appointment including expectations related to teaching/mentoring, service, and research.
Postdoctoral position in health economics/decision science
Cleveland Clinic
The Center for Value-based Care Research (CVCR) at Cleveland Clinic is seeking a post-doctoral fellow to support an NIAAA-funded research project. The Center has 9 full-time investigators, including MDs and PhDs, and strong institutional support with the goal of improving population health and reducing costs through practice redesign, information technology, and evidence-based, patient-centered care. The successful fellow will have the opportunity to receive comprehensive training and a unique research experience in health economic evaluation and decision modeling in addition to observational large data analysis from our multidisciplinary faculty. The fellow is encouraged to develop his/her own research ideas and career development plan during the fellowship with support from the Cleveland Clinic and CVCR faculty. Responsibilities include:

· Conduct literature review and meta-analysis

· Design and develop microsimulation models to conduct cost-effectiveness analysis

· Program using disease modeling software

· Lead analysis of economic and resource utilization data

· Perform biostatistical and/or econometric analyses

· Draft reports, abstracts and manuscripts

By the start of the fellowship, the candidate should have a doctoral degree in health economics, decision science, epidemiology, public health or a related field. Experience in health decision science, biostatistics, simulation modeling, or large databases analysis is desirable. Working knowledge with statistical software (Stata, SAS or R) is required while working knowledge with disease modelling software (TreeAge, AnyLogic, etc.) is preferable.

To apply for this position, please send CV, a cover letter (describing relevant experience and research interest), and contact information of three referees to Phuc Le, PhD ( Applications will be reviewed on a rolling basis. The position is available immediately and open until filled.
Research associate/staff scientist in health economics/decision science
Cleveland Clinic
The Center for Value-based Care Research (CVCR) at Cleveland Clinic is searching for a doctoral level Research Associate/Project Staff/Staff Scientist to collaborate with a multidisciplinary group of investigators working on federally funded projects in liver diseases. This is a full-time position consisting of 50% designing/programming decision models and 50% conducting observational studies. The position includes a non-tenured faculty appointment to the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University at rank commensurate with experience. A doctoral degree in health services research, health economics, health policy, decision science, epidemiology, biostatistics and/or mathematics or a related field is required. Candidates should enjoy collaborating on and bringing creative analytic approaches to complex problems in health care. Participation in writing collaborative research proposals, grant applications, and manuscripts is expected. Excellent English written and oral communication skills are essential. Remote work is possible.

Interested candidates should email a curriculum vitae, the names of at least three references and a cover letter summarizing experience, research interests, and fit for the position
Post-Doctoral Fellowship/Research Associate Position in Decision Modelling
School of Pharmacy, University of Waterloo
A post-doctoral fellowship (PDF)/Research Associate (RA) position is available at the School of Pharmacy at the University of Waterloo in Kitchener Ontario, Canada. The PDF/RA will be part of an established research team that includes mathematical modelers, health services researchers, health economists, physicians, biostatisticians and health policy makers.

This PDF/RA position involves implementing decision analytical models to estimate the real-world prevalence and the undiagnosed proportion for viral hepatitis using health administrative data in Canada. The PDF/RA will work closely with analysts, the principal Investigators, and other members of the study team, to identify important parameters and architecture for the model.

• Designing and implementing decision analytical models for viral hepatitis
• Working with and potentially managing other researchers and analysts
• Performing necessary data collection for the model
• Supporting and/or conducting analyses for other related projects
• Writing peer-reviewed publications and peer-reviewed grants
• PhD in health economics, epidemiology, statistics, applied mathematics, computer science, or management science, with a strong interest in disease modelling for health policy research
• Having experience in health administrative data is a plus.
• Ability to program in Matlab or R with transferable skills
• The sense of urgency necessary to meet goals, objectives, and deadlines
• Strong multi-tasking and organizational abilities

This PDF/RA position is initially for one year with possibility extending to two years and carries a competitive stipend. Applications should be sent via email to Dr. William W.L. Wong:

An application should include an application letter, curriculum vitae, a related research paper or research summary and name of three referees. Review of applications will begin on Nov 30, 2023 and continue until the position is filled.
Open rank decision scientist
Dept Population Health Sciences, U of Utah
Hiring people at rank of Assistant, Associate, or Full Professor in behavioral economics and/or decision scientist.

We are looking for collaborative colleagues with a strong record or potential for independent scholarship in behavioral economics or decision sciences.

More details in link. Please talk with Angie Fagerlin (Department Chair) or Megan Vanneman (search committee) at the meeting.
Division Chief, Health Systems innovation & Research (HSIR) in Department of Population Health Sciences
Department of Population Health Sciences
Seeking a vibrant and visionary scientist to lead the division of HSIR. The Department and Division seems to promote patient centered healthcare and delivery of evidence-based health innovations that improve population health and reduce health disparities.

Please see Angie Fagerlin (Chair of Population Health Sciences) for more details.
Postdoctoral Research Fellowship in Decision Science and Simulation Modeling
Washington University School of Medicine
About the Division of Public Health Sciences at the Washington University School of Medicine in St. Louis


The division has a strong mentoring and career development program with a track record of successfully placing trainees. Successful applicants will be joining a vibrant cohort of postdoctoral fellows across the Division. You’ll find ample opportunities to collaborate with epidemiological, clinical, basic science, statistical, and other faculty across the academic campuses of Washington University.
Postdoc / RA position(s) in American Indian tobacco simulation modeling
Yale School of Public Health
Commercial tobacco use is the leading cause of preventable death in American Indian and Alaska Native (AIAN) communities, who have the highest smoking rates of any racial/ethnic
group in the US. Tobacco simulation models are being used to evaluate the impact of tobacco control policies and guide decision-making, but they have not yet been developed for American Indian populations. There is a need for modeling research that guides policymaking to reduce tobacco use and improve AIAN health outcomes. The Center for the Assessment for Tobacco Regulations (CAsToR) is working in partnership with expert consultants at the Black Hills Center for American Indian Health to meet this need.

What is the training opportunity?

CAsToR is currently seeking junior scientist(s) who are committed to AIAN health to join its research team. This training opportunity aims to support the next generation of junior scientists who will lead the development of tobacco simulation models that advance AIAN health.

CAsToR is eager to provide mentorship, training, and support for a candidate or candidates at the graduate student, recent graduate (bachelor’s or master’s degree), or postdoctoral levels. This part-time (current students) or full-time (recent graduates/postdocs) training opportunity would be based in New Haven, CT at the Yale School of Public Health in the Department of Health Policy and Management. New Haven exists on Quinnipiac, Wappinger, and Paugussett land.

Ideal candidates have:
1) Demonstrated proficiency in a programming language such as R or python
2) Background in STEM and/or health sciences
3) Strong interest in research that advances the health of Indigenous communities
4) Long-term career interests in science and health

Please email a CV/resume and brief statement of interest to
Link: None
Health Economics and Health Policy Faculty Search
Dartmouth invites applications for two tenure-track faculty positions at the assistant professor rank to join the Susan J. and Richard M. Levy Academic Cluster in Health Care Delivery at The Dartmouth Institute for Health Policy and Clinical Practice (TDI) at the Geisel School of Medicine. The mission of TDI is to improve population health, reduce disparities, and create high-performing, sustainable health systems. The goal of the Levy Academic Cluster is to accelerate the transformation of U.S. health care and healthcare systems.

TDI is a national leader in developing the fields of healthcare variations and shared decision-making research. Faculty and staff have made vital contributions to policy and practice, such as influencing provisions in the Affordable Care Act, founding non-profits such as Re-Think Health, and commercializing shared decision-making platforms and tools. The research and policy contributions of TDI are driven by our underlying values of efficiency and equity, as well as a deep skepticism of the role of medical care in the production of health. As we look to address the most pressing concerns facing public health and health care right now, we welcome colleagues who challenge current paradigms of thinking – including our own.

Multiple Post-doctoral Fellows, Departments of Biostatistics and Global Health
Boston University School of Public Health (BUSPH)
The Departments of Biostatistics and Global Health at the Boston University School of Public Health are looking to hire multiple postdocs who will have unique opportunities to contribute to cutting-edge research in either or both of the following areas:

1. Statistical modeling of infectious disease transmission and burden; and/or
2. Vaccine epidemiology, infectious disease modeling, and causal inference.

The successful applicants will be primarily mentored by Dr. Laura White (Professor of Biostatistics) and Dr. Kayoko Shioda (Assistant Professor of Global Health). They will also be a part of “Epistorm: Center for Advanced Epidemic Analytics and Predictive Modeling Technology”, which is a part of the first national network for outbreak analytics and disease modeling assembled by the CDC’s Center for Forecasting and Outbreak Analytics. Led by Dr. Alessandro Vespignani of Northeastern University, Epistorm is a multi-organization, collaborative project bringing together researchers from Northeastern University, Boston University, the University of California San Diego, Los Alamos National Laboratory, the Fred Hutchinson Cancer Research Center, Indiana University, the University of Florida, and Ginkgo Bioworks, as well as several hospital networks. This postdoc position at Boston University School of Public Health (BUSPH) offers numerous opportunities to be involved in projects led by Dr. White and Dr. Shioda including those in the Epistorm consortium. The postdoc will have opportunities to learn from multiple mentors. The postdoc will be
able to expand their professional network among academic institutions, state/federal public health agencies, and hospital networks by being a key part of BUSPH, Epistorm, and the CDC’s Outbreak Analytics and Disease Modeling Network as well as the BU Center for Emerging Infectious Diseases Policy & Research (CEID), Population Health Data Science Program (PHDS), and Hariri Institute for Computing.
Join our team: CEVR is Hiring a Post Doctoral Fellow!
CEVR, Tufts Medical Center
The Center for the Evaluation of Value and Risk in Health (CEVR) at Tufts Medical Center and GSK are pleased to announce a post-doctoral fellowship position that will focus on the economics of vaccination and infectious diseases. The expected start date of the fellowship is September 2024.

This two-year fellowship program will provide an excellent opportunity to gain unique and in-depth applied work experience in health and economic outcomes studies relating to vaccines. The program will train a qualified candidate in health economic evaluation, outcomes research, decision sciences, and health policy analysis. The overall goal of the fellowship program is to help prepare the fellow for careers in pharmaceutical industry, academic, or consulting settings. 

Qualified Candidates

Applicants should have recently completed a PhD or equivalent in health economics, health services research or related research-based discipline, or be planning to complete their degree by the Spring/Summer of 2024. Program requires ability to train first year in Boston, MA while the second year can be completed remotely from a location within the United States.



To apply for this position, please email a CV and cover letter to Tara Lavelle, Ph.D.,  (, or Paige Lin, Ph.D., ( Please indicate in your cover letter that your application is for the post-doctoral position focused on vaccine research. Applications will be accepted on a rolling basis until the position is filled.
Post Doc/Research Engineer in Cancer simulation modelling
NYU Grossman school of medicine
The goal of the research project is to build a computer disease simulation model for oral lesions and cancers, using a state-transition model (also known as Markov model). The position will entail applying model inputs from national datasets for incidence and mortality data as well as the literature, and overseeing development of the disease model in Python, C or C++. This position will require comprehension of basic epidemiologic and disease-related terminology, and some writing. The researcher will present updates and findings regularly through oral and written communication with the Principal Investigator. The position will last at least 2 years, with potential for longer. Open to some work conducted remotely.

1. Design and encode disease simulation model, working together with the Principal Investigator.
2. Understand the basic principles of diagnostic test accuracy measures and receiver-operating characteristic curves.
3. Regularly meet and communicate the status of the project, results, and finding.
4. Create database of results of analyses.
5. Participate in preparation of manuscripts and presentations as needed according to the results.

Preferably, PhD in decision science, computer science, health economics, epidemiology, health services research, mathematics, or other quantitative field; or for those with research experience in a related field, other masters degrees may be considered.

For consideration and more info, please contact Dr. Stella Kang (
Link: None
Professor (open rank)
Stanford University
We have an Assistant/Associate/Full Professor search for faculty at Stanford Health Policy and would be delighted if you would share the announcement with current students and colleagues:

Methodological and focal areas of particular interest include decision science, climate and health, data science, and health equity.
Modeler/Computer Programmer
Harvard Pilgrim Health Care Institute
The Division of Child Health Research and Policy (CHeRP) in the Department of Population Medicine (DPM) at Harvard Pilgrim Health Care Institute and Harvard Medical School is hiring a Computer Programmer. In this position, the programmer will have the opportunity to work on ongoing research in precision and genomic medicine and more specifically, a sophisticated computer model capable of simulating short- and long-term clinical benefits and estimating cost-effectiveness of integrating different genomic sequencing strategies into clinical care for newborns. Familiarity with epidemiology, genetics-related databases, and fulltime programming experience using C++ and R are highly preferred. Interested candidates may review the full job description and apply using the following link:

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