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Biomedical Informatics Phd Jobs (NOW HIRING)

$150 - $200/hr

Our lab seeks to identify, harvest, and make pertinent biomedical and health care data and ... Education PhD or equivalent terminal degree in a relevant discipline * Experience 8 years of job ...

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As of Sep 9, 2026, the average yearly pay for biomedical informatics phd in the United States is $94,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $116,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Biomedical Informatics Phd job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $94,807 per year, or $45.6 per hour.

HMS - Postdoctoral Fellow in Biomedical Informatics (Park Lab)

Cambridge, MA • On-site

Harvard University
Colleges, Universities, and Professional Schools • 51 - 200 employees

$54K - $73K/yr

Full-time

Re-posted 20 days ago


Harvard University rating

8.5

Company rating: 8.5 out of 10

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Job description

Position
Details
Title
HMS - Postdoctoral Fellow in Biomedical Informatics (Park Lab)
School
Harvard Medical School
Department/Area
Biomedical Informatics
Position Description
The candidate will have the opportunity to work with the Park Lab to develop an independent research project within the scope of the lab's research focus. In addition to carrying out research, the successful candidate will have the opportunity to apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in teaching and mentoring of lab members as needed, and otherwise contribute to overall lab operations and collaborative environment.
We are looking for a highly skilled bioinformatics postdoctoral Research Fellow who specializes in researching, designing, developing, deploying, and maintaining scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ONT Whole Genome Sequencing (WGS), RNA-Seq). The ideal candidate will have a deep understanding of next-generation sequencing (NGS) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are critical.
The successful candidates will join a group of supportive, mission-driven, and positively busy computational biologists and have an opportunity to collaborate with world-class biologists in the Harvard Medical School area.
Basic Qualifications
An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field, as well as superb programming (Python, shell scripting) and communication skills.
Additional Qualifications
  • Extensive experience with analysis of highthroughput sequencing data and knowledge of bioinformatics tools for sequence alignment, variant calling, sequence data QC, etc.
  • Proficiency in Docker for creating a reproducible execution environment and Workflow Description Language for orchestrating complex tasks.
  • Strong understanding of AWS services (EC2, S3) or similar cloud platforms for compute and storage.
  • Version Control & CI/CD: Git, automated testing, deployment workflows.
  • Experience with Linux systems, HPC, and distributed computing environments.
  • Knowledge of optimizing pipelines for large-scale genomic projects.

Special Instructions
Required documents:
  • CV
  • Research summary of PhD work.
  • Cover letter describing your interest in the lab and initial ideas for new research directions or projects you could undertake in the lab.
  • A NOTE with the names and contact information for three people who have agreed to serve as a reference.

Expected Dates:
Duration: This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance, business need, and continued funding to support the position.
Salary and Benefits:
This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.
With this appointment, you are represented by the Harvard Academic Workers (HAW) - UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, sex, ethnicity, color, national origin, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy.
Contact Information
Cassie Perry
Contact Email
cassidy_perry@hms.harvard.edu
Salary Range
Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines.
Minimum Number of References Required
Maximum Number of References Allowed
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