Position Details
Title: HMS - Postdoctoral Fellow in Biomedical Informatics
Park Lab School Harvard Medical School Department: 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 labs 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 high-throughput 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 & CICD (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:
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 http://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 universitys 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 http://postdoc.hms.harvard.edu/guidelines.
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Supplemental Questions
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