Apply
The application packet includes the candidate’s CV, a cover letter, and a research statement. Please see the list of open positions below for additional details on application requirements for each of the positions.
For more information, contact the fellowship director Dr. Florence Bourgeois at florence_bourgeois@hms.harvard.edu.
Available Fellowship Opportunities
REGULATORY SCIENCE – BROAD CALL
Summary
The Harvard Program in Therapeutic Science (HiTS) invites applications for a fellowship position at the Harvard-MIT Center for Regulatory Science (CRS). The fellow will join a cohort of highly motivated Regulatory Science Fellows with diverse backgrounds and expertise to conduct interdisciplinary research with broad applications to medicine and public health and contribute to a thriving regulatory science community.
For this position, the fellow will work with faculty at Harvard Medical School, Harvard-Affiliated Hospitals or MIT, and benefit from interactions and collaborations with FDA scientists on a project-specific basis.
Unique aspects of this fellowship program include:
- Access to FDA scientists and collaborations on FDA projects
- Participation in an established multi-disciplinary community, enabling educational experiences and research activities outside of a single field of expertise
- Access to clinicians and investigators at multiple large healthcare centers, providing opportunities for research projects with direct medical applications
BASIC QUALIFICATIONS
- Individuals with doctoral degrees (MD, PhD, PharmD, JD, or equivalent) with training or experience in a relevant field such as pharmacoepidemiology, biostatistics, epidemiology, regulatory law, health policy, or pharmacoeconomics
APPLICATION PROCEDURE AND REQUIREMENTS
Please include the following in the initial application:
- Curriculum vitae
- Cover letter with up to five (and at least 2) faculty members with whom the applicant would be interested in working
- Research statement describing the applicant’s research interests, including a description of the relevance to regulatory science
- Writing sample or up to three relevant publications
If selected to submit a full application, candidates will be interviewed and asked to provide:
- 3 letters of reference
- Project description (3 pages maximum) that includes justification for the work, specific research objectives, proposed methods, and the project’s broader relevance and implications for regulatory science
- The project description may be developed jointly with the mentor following identification of a faculty mentor after submission of the initial application
POSITION DESCRIPTION
Host Institution: Harvard Medical School
Appointing Department: Harvard Program in Therapeutic Science
Research Laboratory: TBD
Location: Boston, MA
Category: Scientist
Other responsibilities: no administrative or teaching obligations
Duration of fellowship: 2 years
EEO STATEMENT
We are an equal opportunity employer and all qualified applicants will receive considerations for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
CONTACT
Florence Bourgeois, MD, MPH | Florence_Bourgeois@hms.harvard.edu
Co-Director, Harvard-MIT Center for Regulatory Science
Associate Professor of Pediatrics, Harvard Medical School
PEDIATRIC REAL-WORLD EVIDENCE RESEARCH
Summary
The Harvard-MIT Center for Regulatory Science, in close collaboration with the Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Boston Children’s Hospital, all at Harvard Medical School, is seeking a post-doctoral research fellow interested in the intersection of pediatric real-world evidence research with regulatory science. This includes pharmacoepidemiology research as it relates to the supplemental regulatory approval of medications for pediatric use. Up to 50% of medications in the outpatient setting and 80% in the inpatient setting are used off-label in pediatric patients. There is increasing interest in evaluating the suitability of real-world evidence studies to form the basis for supplemental regulatory approval of medications to be used in pediatric patients that were previously approved in adult patients. The fellow will conduct pediatric pharmacoepidemiology studies of medication safety and effectiveness using large claims and electronic health record data sources and studies how it impacts the regulation of medications in children.
The Division of Pharmacoepidemiology is internationally leading in training and research on the safety and effectiveness of medications applying advanced analytic methods to diverse large healthcare databases. It houses the FDA Sentinel Innovation Center and is working closely with FDA, EMA and NIH on a range of projects relevant to regulatory science. For this position, the fellow will work directly under the mentorship of Drs. Sebastian Schneeweiss and Tim Savage and with Dr. Florence Bourgeois, Co-Director of the Harvard-MIT Center for Regulatory Science. The fellow will be expected to participate in international conferences and publish conference and journal papers.
Unique aspects of this fellowship program include:
- Access to FDA scientists and collaborations on FDA projects
- Participation in an established multi-disciplinary community, enabling educational experiences and research activities outside of a single field of expertise
- Access to clinicians and investigators at multiple large healthcare centers, providing opportunities for research projects with direct medical applications
BASIC QUALIFICATIONS
- Individuals with doctoral degrees (MD, PhD, PharmD, or equivalent) and training or experience in healthcare data science, clinical pediatrics, clinical pharmacology, pharmacoepidemiology, epidemiology, or health services research
APPLICATION PROCEDURE AND REQUIREMENTS
Please include the following in the initial application:
-
- Curriculum vitae
- Cover letter
- Research statement describing the applicant’s research interests, including a description of the relevance to regulatory science in pediatric populations
- Writing sample or up to three relevant publications
If selected to submit a full application, candidates will be interviewed and asked to provide:
-
- 3 letters of reference
- Project description (3 pages maximum) that includes justification for the work, specific research objectives, proposed methods, and the project’s broader relevance and implications for regulatory science. The project description may be developed jointly with the mentor following submission of the initial application.
POSITION DESCRIPTION
Host Institution: Harvard Medical School
Appointing Department: Harvard Program in Therapeutic Science
Location: Boston, MA
Category: Research Fellow
Other responsibilities: no administrative or teaching obligations
Duration of fellowship: 2 years
EEO STATEMENT
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
CONTACT
Florence Bourgeois, MD, MPH | Florence_Bourgeois@hms.harvard.edu
Co-Director, Harvard-MIT Center for Regulatory Science
Associate Professor of Pediatrics, Harvard Medical School
Sebastian Schneeweiss, MD, ScD | Sschneeweiss@bwh.harvard.edu
Chief, Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women’s Hospital
Professor of Medicine, Harvard Medical School
MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING
Summary
The Harvard-MIT Center for Regulatory Science, at Harvard Medical School, in collaboration with the Machine Learning for Medical Language Lab at Boston Children’s Hospital, is seeking a post-doctoral research fellow to contribute to cutting edge research in the field of machine learning and natural language processing for regulatory science applications.
We are seeking candidates who can develop analytical tools to predict device safety and effectiveness using FDA pre-market and post-market databases. This is an opportunity to participate in high-impact work that will allow regulatory agencies to analyze a range of medical device data to identify trends and safety signals, assess device performance across different device types, and analyze data-related workflows to inform process improvements in the future.
BASIC QUALIFICATIONS
- Candidates with a PhD degree in Computer Science, Math, Physics, Engineering, Statistics or a related technical field, with interest in biomedical applications, will be an excellent fit. However, we encourage candidates from a variety of backgrounds to apply, if their experience and interests match the project goals.
- Experience in research, including ability to plan and carry out research experiments and projects
- Candidates with experience in the areas of machine learning, natural language processing/computational linguistics, and medical terminologies/ontologies are strongly encouraged to apply.
- Programming experience in computer programming languages (e.g., Python, Java, etc)
- Strong written and oral communication skills
- Ability to work both independently and as a team player
APPLICATIONS MATERIALS
- Curriculum vitae
- Cover letter
- Research statement describing the applicant’s research interests, including personal objectives
- Up to 3 publications with clearly stated individual contributions
- Three letters of reference (will be requested of finalists)
POSITION DESCRIPTION
Host Institution: Harvard Medical School
Appointing Department: Harvard Program in Therapeutic Science
Research Laboratory: Machine Learning for Medical Language Lab at Boston Children’s Hospital under Timothy Miller
Location: Boston, MA
Category: Scientist
Other responsibilities: no administrative or teaching obligations
Duration of fellowship: 2 years
EEO STATEMENT
We are an equal opportunity employer and all qualified applicants will receive considerations for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
HOW TO APPLY
Interested candidates should email their applications materials to:
Prof. Timothy Miller, PI Machine Learning for Medical Language Lab
tim.miller@gmail.com