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Associate Research Fellow information

What is the difference between Associate Research Fellow vs Research Scientist?

AspectAssociate Research FellowResearch Scientist
Required CredentialsTypically a master's degree or PhD in a relevant fieldUsually a PhD in a related discipline
Work EnvironmentAcademic or research institutions, often in a collaborative settingResearch labs, industry R&D departments, or academic settings
Employer & Industry UsageUniversities, government research agencies, some private research firmsPharmaceutical, tech, biotech, and industrial R&D sectors

Both roles involve conducting research, but Associate Research Fellows often focus on academic projects and may have a more teaching-oriented role, while Research Scientists typically work on applied research in industry settings. The choice depends on career goals and preferred work environment.

What are some typical challenges faced by an Associate Research Fellow, and how can they be addressed?

Associate Research Fellows often encounter challenges such as balancing multiple research projects, meeting publication deadlines, and securing funding for their work. Navigating the expectations of both independent research and collaborative efforts with senior researchers or industry partners can also be complex. To address these challenges, it's important to develop strong project management and communication skills, seek mentorship from experienced colleagues, and stay proactive in applying for grants and sharing research findings within the academic community.

What are the key skills and qualifications needed to thrive as an Associate Research Fellow, and why are they important?

To thrive as an Associate Research Fellow, you need advanced research skills, analytical thinking, and typically a PhD or equivalent research experience in the relevant field. Familiarity with data analysis software, laboratory equipment, and research management systems is often required, alongside any field-specific certifications. Strong written and verbal communication, collaboration, and problem-solving abilities help you excel in interdisciplinary environments. These skills are crucial for producing high-quality research, securing funding, and contributing meaningful advancements to your discipline.

What are Associate Research Fellows?

Associate Research Fellows are early- to mid-career researchers who typically hold a doctoral degree and work at academic institutions, research organizations, or think tanks. They conduct independent or collaborative research projects, contribute to publications, and may assist in teaching or mentoring students. Their role often serves as a stepping stone towards more senior research or academic positions, such as Senior Research Fellow or Professor.
What cities are hiring for Associate Research Fellow jobs? Cities with the most Associate Research Fellow job openings:
What are the most commonly searched types of Research Fellow jobs? The most popular types of Research Fellow jobs are:
What states have the most Associate Research Fellow jobs? States with the most job openings for Associate Research Fellow jobs include:
Associate Research Fellow jobs near you
Infographic showing various Associate Research Fellow job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 57% Full Time, 39% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, and 10% Remote job distribution.
Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI

Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Posted 12 days ago

Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

134th of 544 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Research Fellow position in statistics, genetics, and biomedical AI. The lab develops cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and computational challenges arising in precision medicine, mental health, and biomedical informatics.
The postdoctoral fellow will contribute to projects focused on:
  • Foundation and representation learning for multimodal biomedical data, including electronic health records (EHRs), genomics, imaging, and clinical text to power next-generation precision medicine.
  • Statistical and computational genomics across diverse populations and biobanks for risk prediction, genetic discovery, and genomic medicine.
  • Federated and transfer learning for distributed and privacy-preserving data integration.
  • AI and Deep learning approaches to high-dimensional and multi-modal biomedical data.
  • Causal Inference, Fairness, and Trustworthy AI in real-world healthcare applications.

Our group actively collaborates with large national and international initiatives, including Mass General Brigham, Penn Medicine, Cambridge Health Alliance, PsycheMERGE Network, PCORnet, and OHDSI, providing unique opportunities to work with massive EHR-genomic datasets and multi-site real-world evidence networks.
Basic Qualifications
  • Ph.D. in Statistics, Biostatistics, Computer Science, Statistical Genetics, or a related quantitative field (by the time of appointment).
  • Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis.
  • Proficiency in R or Python; experience with deep learning, causal inference, or genetic data analysis is not required but encouraged.
  • Excellent written and verbal communication skills.

Additional Qualifications
Special Instructions
The position is available immediately. The initial appointment is for one year, renewable based on performance and funding. Salary and benefits follow NIH and Harvard guidelines.
Interested applicants should submit a CV, cover letter, and contact information for three references to Dr. Rui Duan (rduan@hsph.harvard.edu). Review of applications will begin immediately and continue until the position is filled.
Contact Information
Rui Duan, Associate Professor, Department of Biostatistics
Contact Email
rduan@hsph.harvard.edu
Salary Range
$75,000
Minimum Number of References Required
3
Maximum Number of References Allowed
Keywords
biostatistics; AI; biomedical informatics; statistics; genetics

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