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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.


Clinical Research Coordinator

Job ID #

Description

The Medical Practice Evaluation Center (MPEC) is seeking Research Assistants (Clinical Research Coordinators) to work with an internationally recognized multidisciplinary team from Massachusetts General Hospital dedicated to improving clinical outcomes, increasing value in health policy, and informing global public health through innovative research, collaboration, and education. MPEC is a dynamic, results-oriented, and diverse group that values the unique contribution of its Research Assistants. Research Assistants will join with a cohort of other ambitious Research Assistants, where they will receive group training and individual mentorship during their time at MPEC.

Research Assistants will either work with investigators in the Simulation Modeling and Cost-effectiveness Analysis pillar or Epidemiology and Implementation pillar.

The Simulation Modeling pillar works to conduct clinical and cost-effectiveness analyses on key aspects of HIV disease management (as well as other chronic and infectious disease treatment and prevention). Past and current projects include:

  • A modeling analysis (Dugdale et al, Ann Intern Med. 2019) of the harms and benefits of DTG treatment (an antiretroviral medication) within women of childbearing age, which was cited in the WHO policy decision to not withhold this important new treatment option from this population
  • Working closely with the Zimbabwean Ministry of Health and Child Care to develop a location-optimization model that could help inform the placement of limited point-of-care testing devices for early infant diagnosis
  • Determining optimal uptake of strategies for the prevention of vertical transmission of HIV in Zimbabwe
  • Examining the clinical and economic impact of pre-exposure prophylaxis (PrEP) for populations at high risk of acquiring HIV in India, among other populations
  • Assessing cost-effectiveness of tuberculosis diagnostics in South Africa
  • Evaluating the impact of pre-travel vaccination for international travelers

The Epidemiology and Implementation pillar works to develop, implement, and evaluate interventions to improve engagement in medical carein the United States and international settings. Past and current projects include:

  • Establishing an international registry of dermatologic manifestations of COVID-19, which led to the discovery of “COVID toes” as a sequela (Freeman et al, J Am Acad Dermatol. 2020)
  • An evaluation of pre-therapy HIV adherence counseling, which eliminated delays between eligibility and initiation of antiretroviral therapy in sub-Saharan Africa
  • Established one of the first routine HIV screening programs in South Africa, which has since been incorporated into routine practice (Bassett et al HIV Med. 2008)
  • Evaluating the clinical impact of a policy change to allow virologically stable HIV patients to pick up medications at community venues in South Africa
  • Quantitative measurement of the effects of HIV on aging and on coronary artery disease in rural Uganda
  • Investigating the role of maternal HIV infection and co-infection with early childhood infections
  • Studying low-barrier service delivery mechanisms for STI screening and prevention out of the MGH Sexual Health Clinic and in partnership with community organizations in the Boston area
  • A pilot project to offer HIV prevention and family planning to young women in community venues (such as hair salons) in South Africa

Research Assistants in our group frequently go on to pursue careers in medicine, public health, epidemiology, global health, and health policy research.

Principal duties and responsibilities

MPEC Research Assistants may participate in all phases of research projects, from conception and design of studies through analysis and writing manuscripts for submission to academic journals.

Responsibilities may include, for example:

Modeling pillar-specific tasks

  • Participate in simulation model development, refinement, and debugging
  • Design and execute simulation model runs to address research questions

Implementation pillar-specific tasks

  • Design and manage study databases, generate data queries, and participate in data cleaning efforts
  • Analyze quantitative data as part of cohort studies, clinical trials, and implementation studies
  • Code qualitative data from in-depth interviews and focus groups
  • Partner with international collaborators and study staff on oversight of studies, standard operating procedure development and review, and data quality assurance

Cross-pillar tasks

  • Perform systematic literature reviews and synthesize relevant data
  • Assist in writing abstracts and designing posters for submission to research conferences
  • Present study results to project teams and external stakeholders
  • Assist with preparation of Data User Agreements, Institutional Review Board (IRB) applications and related documents regarding the protection of human subjects
  • Help prepare grant applications
  • Provide administrative support as needed, including organizing meetings and preparing slides for lectures and seminars

Qualifications

The position requires a bachelor’s degree, with an academic record demonstrating experience and skills in analytical thinking and/or quantitative methods. Candidates should also demonstrate skill in organization, time management, and both verbal and written communication.

Additional qualifications include:

  • Advanced attention to detail
  • Problem-solving skills
  • Experience with data organization and analysis
  • Proficiency with standard Microsoft Office software (particularly Excel), as well as the ability to learn new software applications
  • Ability to work as part of a diverse team, including remote collaboration
  • Intellectual independence and initiative
  • Interest in decision science, simulation modeling and analysis, public health, health policy, economics, and/or medicine
  • Excellent academic record
  • Previous research experience (academic or professional)

Additional experience that is helpful but not required:

  • Familiarity with statistical programming software such as SAS, Stata, Python, or R
  • Basic coding experience/exposure
  • Database design and management experience, particularly with REDCap or Access
  • Experience working with investigator-initiated clinical research studies
  • Experience with decision science research and/or simulation tools and methodology
  • Experience in qualitative research methods
  • Previous experience in international or intercultural settings

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


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.


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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