Job details

Computational Biologist

Job Description

The Kadoch Laboratory at the Dana-Farber Cancer Institute, Harvard Medical School, Broad Institute and Howard Hughes Medical Institute is seeking a highly qualified candidate to join our vibrant research team as a Computational Biologist focused on epigenetics, chromatin and gene regulation, cancer biology and disease genetics. Our lab uses multidisciplinary approaches including biochemistry, biophysics, structural biology, chemical biology, and functional genomics to explore the mechanisms of chromatin remodeling complexes, which are among the most frequently mutated cellular entities in human cancers and other diseases.

Our exciting collection of ongoing projects involve collaborations with laboratories across the Harvard/ MIT research centers and hospitals in Boston and Cambridge as well as with groups across the country and internationally. This is a unique position offering the opportunity to work on rewarding projects resulting in authorship on publications, leadership of independent projects, and presentations at local, national, and international meetings.

Our computationally-centered projects in the lab are highly diverse and involve:

Extensive genomics (i.e. analysis of many NGS methods including DNA sequencing, RNA sequencing, ATAC-seq, ChIP-seq, CUT&RUN, CUT&TAG, single cell ATAC+RNA-seq, 3D chromatin topological studies, and other approaches)
Analysis of functional screening datasets (i.e. genome-wide as well as targeted CRISPR- and base editing-based screens for cell fitness or other cellular outcomes)
3D structural biology (i.e. use of Pymol and UCSF Chimera for structural analysis, mapping mutations, etc.)
Analysis and integration of mass-spectrometry proteomics datasets

Artificial intelligence/machine learning (AI/ML) and systems biology-focused efforts (i.e. large genomics and proteomics dataset analysis and integration Deepmind, Alphafold, Alphafold multimer, Rosetta, other approaches)

Qualifications

PhD with 0-3+ years of relevant full-time experience in the academic or industry setting
3+ year commitment to our academic lab
Experience with computational biology and statistics relevant to gene regulation, chromatin biology, and all -Seq methods
Coding experience (i.e. in R, Python, or other languages) relevant to bioinformatics/computational biology
Familiarity with working in a Unix environment and use of SLURM or similar job scheduler
Ability to identify and implement as well as develop new bioinformatic pipelines in shell scripts
Extensive experience with data visualization (such as in ggplot2, matplotlib, D3.js etc.)
Experience in writing of publications and grants, presentation of data analyses in highest-level figures (i.e. clear, well-labeled, aesthetically optimized figures).
Ability and willingness to mentor and train junior computational biologists and other members of the lab

LC-2023

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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