HMS - Postdoctoral Fellow in Perrimon lab

School:
Harvard Medical School

Department/Area: ***

We invite applicants for a postdoctoral fellow position in the Perrimon Lab at Harvard Medical School in Boston, Massachusetts. The Perrimon Lab focuses on functional genomics, systems biology, and the mechanisms by which cells, tissues, and organs communicate, using Drosophila as a model system. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab.

The successful candidate will work with Dr. Perrimon lab to develop an independent research project within the scope of the lab's research focus. In addition to carrying out computational and bioinformatics research, the successful candidate will be expected 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.

• Design and implement reusable bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics, and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are not available or are not adequate.
• Apply computational, statistical, and AI/ML approaches to uncover biological insights and support functional discovery by analyzing multi-omics datasets, eg., genomics, transcriptomics, proteomics, metabolomics, and related datasets.
• Collaborate closely with the Investigator and lab members on research projects, including defining the scope of the collaboration, researching the scientific topics, and implementing the appropriate bioinformatics solutions that meet project timelines. Coordinate and collaborate with other bioinformaticians, biostatisticians, information technology professionals, and interdepartmental project teams.

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 (Use the "Apply for this Job" box below)..

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.

• Ph.D. in bioinformatics, computational biology, genetics, computer science, or a related field
• Strong programming skills (Python, R, or similar) and experience building or maintaining analysis pipelines
• Experience with RNA-seq, single-cell genomics, and/or proteomics data
• Familiarity with machine learning or LLM-based approaches applied to biological data is a plus
• Comfort working in a collaborative, cross-disciplinary environment spanning wet-lab and computational teams

• Curriculum Vitae
• Statement of Research for 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.
• Note with names and contact information for three people who have agreed to serve as your references

• Final date to receive applications: 12/31/2026
• Start date:
  
  The position is expected to start on or around 1/31/2027 with some flexibility.
• 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.

Hu, Claire

.harvard.edu

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 .

3

6

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. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender…