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Career Opportunities

There are many exciting opportunities to join the MPEC team.  Click the links below to see more details about each opportunity:


Please come join us at one of our Virtual Open Houses to learn more about the Research Assistant (RA)/Clinical Research Coordinator (CRC) position! You’ll have the opportunity to talk to current RAs, alumni, faculty, and other team members. Sessions will be 1-2 hours depending on the length of the Q&A portion. Please register for a day using the following links:

  • Please check back – no additional sessions are currently scheduled this season

To apply, click the position title in the descriptions below or go to https://www.massgeneral.org/careers and search for the Job ID# listed.

In keeping with our overarching mission to reduce health and other disparities in vulnerable populations, the Medical Practice Evaluation Center is specifically committed to recruiting a diverse team of individuals across race, ethnicity, sexual orientation, and ability backgrounds to ensure that our science is informed by and responsive to the communities we aim to serve. The Center strives to become a leader in developing and maintaining increased representation, recognition, and support of each of these dimensions of diversity among all of its members.

Massachusetts General Hospital is an Equal Opportunity Employer actively committed to increasing the diversity of our faculty and staff. Women and members of underrepresented minority groups are therefore strongly encouraged to apply.


Research Scientist

Job ID #

Description

The Medical Practice Evaluation Center (MPEC) has an opportunity for an enthusiastic individual to join our research team investigating the clinical and economic value of alternative strategies of HIV treatment and prevention, as well as modeling other diseases. The position is with an internationally-recognized, multidisciplinary team from Massachusetts General Hospital, Harvard Medical School, Harvard T.H. Chan School of Public Health, Yale School of Medicine, Brigham and Women’s Hospital, and multiple international institutions. Together, the group studies the clinical impact and cost-effectiveness of various prevention and treatment options for HIV/AIDS, tuberculosis, diabetes, cardiovascular, and other diseases, in collaboration with researchers in the US, as well as in a range of international settings, including Botswana, Brazil, Côte d’Ivoire, France, India, Mozambique, South Africa, Thailand, and Zimbabwe.

The Research Staff Biostatistician candidate must have excellent verbal and written communication skills, a strong methodological background, including expertise in survival analysis, multivariate statistics, longitudinal modeling, simulation modeling, structural equation modeling, and other data analytic techniques useful for infectious disease and other areas of clinical research. Experience in quantitative methods, independent mathematical model development, parameterization, and debugging is also desirable. There are multiple possibilities for interaction with other researchers in Boston, as well as collaboration with many national and international research groups and institutions.

Principal duties and responsibilities

Responsibilities include, but are not limited to, the following activities: 

  • Conduct multiple clinical and cost-effectiveness analyses on different aspects of HIV disease management using a computer simulation model of HIV disease (the CEPAC-US, CEPAC-International, and CEPAC-Pediatric models), assuring consistency with guidelines for best practices
  • Develop and apply new methodologies in stochastic computer simulation to achieve research aims
  • Perform literature reviews and synthesize relevant data for these projects with biostatistics staff; work with these staff to convert published data into usable and appropriate input parameters
  • Assist with the parameterization and documentation of the model, train other users on updates
  • Develop novel simulation models to address policy questions related to HIV and potentially other clinical conditions
  • Develop analysis plans and protocols for studies consistent with federal guidelines
  • Troubleshoot model inconsistencies (bugs) alongside the programmer and other research staff (Research Assistants and Project Managers)
  • Provide guidance to Research Assistants, particularly regarding methodological issues
  • Lead abstract and manuscript preparation, as well as presentation of study results for several projects at a time
  • Prepare grant applications and related documents
  • Attend national and international scientific meetings
  • Present research at seminars, working group meetings, and lectures
  • Take a major role in technology transfer and training meetings with US and international investigators
  • Coordinate design of specific studies, collaborating with US and international collaborators across multiple sites

Depending on experience and interest, there may also be opportunities to lead US and international projects to complete the aims of numerous NIH grants, including development and specification of mathematical simulation models.

Qualifications

Job qualifications include the following:

  • PhD or ScD in Biostatistics, Epidemiology, or related area (Operations Research, Decision Science, Systems Engineering, Industrial Engineering)
  • Minimum of 5 years of research experience (inclusive of graduate studies) required; 7+ years preferred


Additional skills, abilities, and competencies are detailed on the job listing.

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PhD Biostatistician

Job ID #

Description

The Massachusetts General Hospital’s Medical Practice Evaluation Center (MPEC) is seeking a faculty-level biostatistician with a doctoral degree in Statistics, Biostatistics, or Epidemiology. Appointment as an Assistant or Associate Professor at the Harvard Medical School will be commensurate with experience, training, and achievements in addition to teaching activities.

Principal duties and responsibilities

Collaborate with and support the statistical needs of a team of clinical researchers whose members are internationally recognized in HIV and other infectious disease research. Collaborate with faculty at Massachusetts General Hospital, Harvard Medical School, Harvard T.H. Chan School of Public Health, Yale School of Medicine, and Brigham and Women’s Hospital, as well as multiple international sites including France, South Africa, Côte d’Ivoire, Brazil, and India, among others.

Job Setting

Massachusetts General Hospital is one of the largest research hospitals in the United States with a research budget of nearly one billion dollars. MPEC is an interdivisional Center within the Department of Medicine comprised of over 70 professionals who evaluate clinical outcomes, costs, and cost-effectiveness of strategies for preventing, managing, and treating HIV/AIDS, as well as other diseases.

Qualifications

Applicant must have excellent oral and written communication skills, a strong methodological background, and should have an array of expertise in survival analysis, multivariate statistics, longitudinal modeling, simulation modeling, structural equation modeling, and other data analytic techniques useful for infectious disease and other areas of clinical research. Experience in observational data, implementation science, and health services research including statistical expertise in causal inference, hierarchical modeling, Bayesian methods, machine learning, or missing data methods with experience using electronic health records or mHealth data desirable.

Applicant must have at least 5 years of applied health data analysis experience. A proven record of independent and collaborative research and extramural funding is preferred. Experience mentoring junior-level statisticians and investigators is encouraged. Applicant must possess the potential for leadership in an area of statistical methodology for AIDS research (as demonstrated by prior publications and grant funding).

Application Process

Interested candidates should send a personal statement with research interest, three potential referees, and Curriculum Vitae to Jaime Nangle at jnangle@mgh.harvard.edu.

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