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Postdoc Positions In Usa Jobs in Boston, MA (NOW HIRING)

Basis Research

Postdoctoral Fellow, Open Call

Cambridge, MA · On-site

$53K - $72K/yr

Limited to the New York City and Boston areas; this is an in-person position. * Salary: Competitive with leading postdoctoral fellowships. * Start date: Applications reviewed on a rolling Basis.

Basis Research

Postdoctoral Fellow, Open Call

Cambridge, MA · On-site

$53K - $72K/yr

Limited to the New York City and Boston areas; this is an in-person position. * Salary: Competitive with leading postdoctoral fellowships. * Start date: Applications reviewed on a rolling Basis.

Harvard University

Stipendee Postdoc

Cambridge, MA · On-site

$54K - $73K/yr

Position Details Title Stipendee Postdoc School Faculty of Arts and Sciences Department/Area Stem ... Responsibilities: 1. Conduct research in in vitro or animal models of aging. 2. Publish and present ...

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What is the difference between Postdoc Positions In Usa vs Research Scientist?

AspectPostdoc Positions In UsaResearch Scientist
Required CredentialsPhD in relevant fieldMaster's or PhD, often with more experience
Work EnvironmentAcademic labs, universitiesResearch labs, industry, academia
Employer & Industry UsageUniversities, research institutesCorporations, government agencies, research institutes
Search & Comparison IntentAcademic research, postdoctoral opportunitiesResearch roles in industry or applied research

Postdoc Positions In Usa are primarily academic roles focused on research after completing a PhD, often in university labs. Research Scientists may work in industry or academia, with similar educational requirements but often more experience and applied focus. Both roles involve research but differ in work environment and career trajectory.

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Infographic showing various Postdoc Positions In Usa job openings in Boston, MA as of August 2026, with employment types broken down into 65% Full Time, and 35% Part Time. Highlights an 94% In-person, and 6% Remote job distribution.

Postdoctoral Research Position in Causal Inference

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Re-posted 29 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

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Job description

Position
Details
Title
Postdoctoral Research Position in Causal Inference
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
We invite applications for a full-time Postdoctoral Research Fellow to join the causal inference team supervised by Professor Francesca Dominici. The position will focus on developing and applying novel causal inference methods for large-scale observational studies, with a particular emphasis on environmental exposures and public health. Core data resources include nationwide claims, linked with rich contextual information such as census data, weather records, and high-resolution air pollution and related environmental exposures data.
Motivated by relevant public health and policy questions, the goal is to develop methodologies for the identification, estimation, transportability, and generalization of the causal effects in complex real-world settings. Among others, methodological areas will span:
• Causal inference for spatiotemporal data,
• Methods for heterogeneous treatment effects estimation,
• Methods for multiple exposures, multiple outcomes,
• ML and AI methods for causal inference,
• Bayesian causal inference,
• methods for transportability and generalizability of causal effects across space, time, and populations.
Duties and Responsibilities
• Design, develop and implement novel causal inference methods in the areas listed in the position description.
• Work with large, high-dimensional datasets.
• Lead and contribute to manuscripts for high-impact journals (e.g., top Statistics journals and Nature-like journals).
• Present findings in internal meetings and at national/international conferences.
• Collaborate with an interdisciplinary team (bio)statisticians, data scientists, computer scientists, and climate scientists.
• Contribute to open-source code and reproducible pipelines.
Basic Qualifications
• PhD (completed or near completion) in Statistics, Biostatistics, Data Science, Computer Science or a closely related field.
• Demonstrated expertise in causal inference, with interest in methods development.
• Experience with statistical and ML methods, including at least one of the following: Bayesian methods, deep learning, spatiotemporal modeling, high-dimensional statistics.
• Proficiency in statistical programming (R and/or Python) and good practices for reproducible research.
• Experience working with large datasets and cloud computing environments.
• Excellent written and oral communication skills, with a track record of peer-reviewed publications commensurate with career stage.
• Ability to work in a collaborative, interdisciplinary environment.
Additional Qualifications
Prior experience with one or more of:
• Health claims data, EHRs, or other large-scale health/administrative datasets.
• Environmental, climate, or air pollution exposure data.
Familiarity with LLMs.
Special Instructions
Please submit the following materials:
• Cover letter describing your research interests, relevant experience, and fit for this position.
• Curriculum vitae including a list of publications.
• One to three representative publications or preprints.
Names and contact information for 2-3 references.
Contact Information
Catherine Adcock
Contact Email
catherine_adcock@harvard.edu
Salary Range
$75,000
Minimum Number of References Required
2
Maximum Number of References Allowed
3
Keywords
Causal inference; spatiotemporal modeling; generalizability; transportability; environmental health

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