HMS - Postdoctoral Fellow in Biomedical Informatics (Park Lab)

Harvard University Position Details TitleHMS - Postdoctoral Fellow in Biomedical Informatics (Park Lab)SchoolHarvard Medical SchoolDepartment/AreaBiomedical InformaticsPosition DescriptionThe 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 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. Required Documents Curriculum Vitae Cover Letter Statement of Research Note Optional Documents Publication 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 EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Contact Information Cassie Perry Contact Email: View email address on click.appcast.io Salary Range: Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at #J-18808-Ljbffr Harvard University