There are many exciting opportunities to join the MPEC team. 

Please click the Job ID# link to see the complete opportunity description and apply on the MGH Careers website.

Clinical Research Coordinator (Research Assistant)
Job ID# 3115657
Description Research Assistants will work with investigators in the Simulation Modeling and Economics Program 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) and/or with investigators in the Outcomes and Implementation Science Program to develop, implement, and evaluate interventions to improve engagement in medical care in the United States and international settings.
Principal duties and responsibilities
  • Participate in all phases of research projects, from conception and design of studies through analysis and writing manuscripts for submission to academic journals
  • Perform systematic literature reviews and synthesize relevant data
  • Assist in writing abstracts for submission to research conferences
  • Design posters for presentation at research conferences
  • Present study results to project teams and external stakeholders 
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 demonstrate organizational, time management, verbal, and written communication skills as well as the ability to interact professionally at all levels.

Clinical Research Program/Project Manager
Job ID# 3115655
Description The Research Program/Project Manager will play a key role in research program administration, including supervision of research activities, training, and staff, in addition to managing a designated portfolio of individual projects and potentially contributing to projects as a researcher, if interested. 
Principal duties and responsibilities Program Management
  • Work with programmatic leadership and research assistants alike to manage the MPEC research portfolio by orchestrating competing priorities, deadlines, and workload in a group with 20-30 ongoing research projects
  • Supervise, coach, and develop Research Assistants
Research Project Management
  • Coordinate all administrative aspects of multiple active and pending projects
  • Serve as a liaison between team US and international collaborative research sites
  • Manage REDCap database activities, including creation of data collection tools, data extraction and uploading, and creation of reports
Research (optional)
  • Contribute directly to and/or lead scientific analysis, abstract submissions, and manuscript development for 1-2 projects at a time
Qualifications
  • 3+ years of experience in an academic, research, or related setting
  • Experience in international settings is required
  • Master’s degree in public health, public policy, management, or related field preferred.  Minimum of a Bachelor's degree required.

Research Specialist
Job ID# 3108867
Description The Research Specialist will contribute to the development of the NIH-funded Cost-effectiveness of Preventing AIDS Complications (CEPAC) microsimulation model, and potentially other disease models by helping to design and conduct model-based cost-effectiveness analyses, leading abstract presentation and manuscript preparation, assisting with model refinement and expansion, and contributing to new proposals and grant preparation.
Principal duties and responsibilities
  • Conduct clinical and cost-effectiveness analyses on different aspects of HIV disease management using a computer simulation model of HIV disease (the CEPAC model)
  • Coordinate and help design analyses with project teams, including US and international collaborators across multiple sites
  • Develop new components of the CEPAC model or new, independent simulation models as needed for specific research projects and policy analyses
  • Perform literature reviews and synthesize relevant data for these projects with biostatistics staff; work with these staff to convert published data into appropriate model input parameters
  • Lead abstract and manuscript preparation, as well as presentation of study results for multiple projects at a time
Qualifications
  • MS or MPH with a focus on Decision Science, Operations Research, Applied Computation, Applied Mathematics, Biostatistics, Epidemiology, Health Economics, Health Policy, Global Health, or related area
  • Minimum of 3 years of research experience (inclusive of graduate studies)

Research Staff Scientist
Job ID# 3108869
Description The Research Staff Scientist will lead analyses and methods development as part of one of several innovative, multi-disciplinary, and NIH-funded research programs focused on the use of simulation modeling to inform HIV care and treatment guidelines for children and adults in the US and worldwide.
Principal duties and responsibilities
  • Taking an active role in different phases of numerous research projects, including: grant preparation; protocol development and study design; design and execution of analysis plans; development of novel simulation methods; specification, parameterization, and application of the CEPAC model and/or other disease simulation models
  • Disseminating results, including through abstracts, manuscripts and oral presentations at scientific conferences and policy-development meetings.
  • Providing guidance, mentorship, and training to research assistants and new employees, particularly regarding methodological issues and model use
  • Taking a major role in technology transfer and training meetings with US and international investigators
Qualifications
  • Doctorate Degree in Operations Research, Decision Science, Systems Engineering, Industrial Engineering, or related area
  • Extensive experience in quantitative methods, independent mathematical model development, parameterization, and debugging. Ability to work with mathematical models, including Markov models, Monte Carlo models, and compartmental and agent-based epidemiological models; experience in deterministic and probabilistic sensitivity analysis, and ability to solve technical problems in these areas

Post-Doctoral Fellow (CEPAC)
Job ID# 3113951
Description The Post-Doctoral Research Fellow will lead analyses and methods development as part of one of several innovative, multi-disciplinary, and NIH-funded research programs focused on the use of simulation modeling to inform HIV care and treatment guidelines for children and adults in the US and worldwide.
Principal duties and responsibilities
  • Taking an active role in different phases of numerous research projects, including: grant preparation; protocol development and study design; design and execution of analysis plans; development of novel simulation methods; specification, parameterization, and application of the CEPAC model and/or other disease simulation models
  • Disseminating results, including through abstracts, manuscripts and oral presentations at scientific conferences and policy-development meetings.
  • Providing guidance, mentorship, and training to research assistants and new employees, particularly regarding methodological issues and model use
  • Taking a major role in technology transfer and training meetings with US and international investigators
Qualifications
  • Doctorate Degree in Operations Research, Decision Science, Systems Engineering, Industrial Engineering, or related area
  • Extensive experience in quantitative methods, independent mathematical model development, parameterization, and debugging. Ability to work with mathematical models, including Markov models, Monte Carlo models, and compartmental and agent-based epidemiological models; experience in deterministic and probabilistic sensitivity analysis, and ability to solve technical problems in these areas

Post-Doctoral Fellow (Aging)
Job ID# 3112800
Description The Post Doctoral Research Fellow will lead implementation of an innovative, multi-disciplinary, and NIH R01-funded research program focused on the effects of HIV on aging in sub-Saharan Africa. Primary responsibilities will include field epidemiologic work, specifically: study design and implementation, study staff oversight, and academic productivity such as quantitative data analysis, manuscript production, and dissemination of findings.
Principal duties and responsibilities
  • Develop and implement study protocol
  • Select study measures, design and analysis plans
  • Lead data analyses on repeated-measure observational and clinical trial datasets
  • Prepare and publication of abstracts, posters, and manuscripts
  • Support training of field staff and provide technical support to foreign colleagues
  • Assist with preparation and submission of grants
Qualifications The position requires a post-doctoral degree, with a strong background and demonstrated ability in field epidemiology. The candidate must possess superior organizational, administrative, time management, and communication skills with the ability to interact professionally at all levels, particularly in cross-cultural settings. The position will include residence in or frequent travel to Uganda, for a minimum of 3-6 months per year.

Grant Coordinator
Job ID# 3111004
Description The Grant Coordinator will facilitate management of the Center’s sponsored research portfolio throughout the award life-cycle, ensure the successful execution of sponsored awards in compliance with institutional and NIH/foundation policies and procedures, and provide oversight of existing MPEC assets.
Principal duties and responsibilities
  • Pre-award: Assist in the sponsored research grant application process, including drafting and proofreading administrative components of grant applications, completing sponsor and institutional application forms, and developing study budgets. 
  • Post-award: Monitor and execute fiscal functions of the Center, including facilitating procurement transactions, monitoring project expenditures, collaborating with Principal Investigators and Grant Administrator on annual grant progress reports, and assisting with maintenance of study records.
  • MPEC responsibilities: Develop systems for tracking existing Center assets, provide ongoing asset management, collaborate with Grant Administrator and Administrative Manager to guide and educate fellows and younger investigators in the MPEC through pre- and post-award grant processes
Qualifications
  • Bachelor’s degree
  • 1-3 years of related experience in fiscal or project coordination
  • Intermediate Excel skills required; advanced skills preferred

Programmer Analyst
Job ID# 3116610
Description The Programmer Analyst will contribute to a variety of software-related tasks to help inform health policy by projecting health outcomes and healthcare costs using simulation models primarily focused either on HIV/AIDS and its comorbidities or on tobacco use and its health impacts. As a programmer in our group, you will have the opportunity to learn about public health issues while using your software skills to help solve global health problems.
Principal duties and responsibilities
  • Maintain and develop the current simulation models for adult/pediatric HIV and smoking through coding, debugging, and testing new features, streamlining and model optimization, and consulting with research personnel on model mechanics and structure
  • Develop new and existing data analysis/visualization tools
  • Meet regularly with research personnel to devise innovative and scientifically appropriate solutions to modeling and data analysis challenges
Additionally, there is a possibility for a candidate with an appropriate background to take on a hybrid programming/data analysis role. This role would emphasize the data analysis and visualization tasks above and would additionally collaborate closely with Biostatisticians and Research Scientists on data analysis and statistical workflows. 
Qualifications
  • B.S. in Computer Science, Mathematics or related field
  • Demonstrated experience with Python or similar scripting language
  • Familiarity with C++ development 
Experience in C++ development, statistical programming (e.g., SAS, STATA or R), data visualization, and/or cluster computing desired but not required