Job description
Join the Massachusetts Institute of Technology as a Postdoctoral Research Fellow in the Computational Genomics Lab. This role offers a unique opportunity to lead high-impact projects at the intersection of genomics, computational biology, and systems biology.
You will design and implement computational workflows to analyze large-scale sequencing data, contribute to grant proposals, and collaborate with interdisciplinary teams across biology, computer science, and bioinformatics.
We value innovation, rigorous methods, and open science practices. The lab provides state-of-the-art HPC resources, access to cloud platforms, and a supportive environment for career development.
Responsibility
- Conduct independent and collaborative research in computational genomics and related fields.
- Develop, optimize, and benchmark computational pipelines for sequencing data (RNA-seq, WGS, single-cell).
- Analyze large-scale datasets using Python, R, and HPC resources; apply ML/AI methods.
- Contribute to grant writing and progress reporting; assist with manuscript preparation.
- Mentor graduate and undergraduate students; present findings at internal and external seminars.
- Collaborate with wet-lab teams; translate experimental data into computational insights.
- Ensure reproducibility and maintain code with version control and documentation.
Qualification
- PhD in computational biology, bioinformatics, genomics, or a related field (or equivalent research experience).
- Strong programming skills (Python, R); experience with SQL and Bash.
- Experience with large-scale sequencing data analysis (RNA-seq, WGS, single-cell) and ML/AI.
- Proficiency with HPC environments, cloud computing, version control (Git).
- Strong publication record and ability to communicate results clearly.
- Demonstrated ability to work both independently and in cross-disciplinary teams.
- Grant writing or proposal development experience (preferred).
- Excellent spoken and written communication in English.