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Research Position Jobs in Marblehead, MA (NOW HIRING)

This position is ideal for new engineering graduates interested in the medical application of basic research and is a great opportunity for those who want to gain some experience before continuing ...

Research Technician

Boston, MA · On-site

$21 - $29.01/hr

This position is ideal for new engineering graduates interested in the medical application of basic research and is a great opportunity for those who want to gain some experience before continuing ...

The Research Program Manager,a DoD sponsored research position, is a Boston or Washington DC based ... The position will coordinate closely with other program managers and key prime stakeholders tied to ...

About the Opportunity Northeastern University has established a Postdoctoral Researcher position dealing with cutting-edge research in the theoretical and applied aspects of resilient artificial ...

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Research Position information

What is the difference between Research Position vs Research Analyst?

AspectResearch PositionResearch Analyst
Required CredentialsBachelor's or Master's degree in relevant fieldBachelor's or Master's degree, often with specialized training
Work EnvironmentLaboratories, research institutes, academic settingsCorporate, financial, or market research firms
Employer & Industry UsageUniversities, research centers, government agenciesFinancial firms, consulting companies, market research firms
Common Search & ComparisonYesYes

Research Positions typically involve conducting experiments, data collection, and analysis in academic or scientific settings. Research Analysts focus on analyzing data to inform business decisions, often within corporate or financial industries. While both roles require analytical skills and relevant education, Research Positions are more lab or field-based, whereas Research Analysts work primarily with data interpretation and reporting in a business context.

What do you do in a research position?

A research position involves conducting systematic investigations to gather data, analyze findings, and contribute to knowledge in a specific field. It often requires skills in data collection, analysis tools, and report writing, and may involve working in laboratories, offices, or field environments. Researchers may also collaborate with teams and present results through publications or presentations.

What jobs can I do if I like research?

Research positions include roles such as research analyst, research scientist, data analyst, and research assistant. These jobs typically require strong analytical skills, attention to detail, and familiarity with research methods or data analysis tools. They can be found in industries like healthcare, technology, academia, and government agencies.

What kind of careers are in research?

Research careers include roles such as research scientist, research analyst, and research associate, often found in academia, government agencies, and private industry. These positions typically require strong analytical skills, familiarity with data collection and analysis tools, and advanced degrees in relevant fields. Opportunities can involve laboratory work, data modeling, or policy development depending on the sector.
Infographic showing various Research Position job openings in Marblehead, MA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Postdoctoral Research Position in Causal Inference

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Re-posted 11 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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