Associate Computational Biologist

Job Details

Job ID:

450 Brookline Ave, Boston, MA 02215

Research Laboratory

Employment Type:
Full time

Work Location:
Onsite: 100% onsite


Kadoch Laboratory

Chromatin and gene regulation in human disease

The Kadoch Laboratory at the Dana-Farber Cancer Institute, Harvard Medical School, Broad Institute and Howard Hughes Medical Institute is seeking a highly qualified individual who has recently obtained or is about to obtain a BA/BS degree (or higher) to join our vibrant research team as a Computational Biologist focused on cancer biology, epigenetics, and chromatin regulation. 

We are looking for candidates who will be available for 2 (two) years in the lab; in particular, we are looking for candidates who are graduating from colleges/universities this Spring 2024 and considering applying to top-tier graduate and/or medical school (PhD/MD/MD-PhD) programs following their tenure in the lab, *OR*, aiming to function as a senior staff computational biologist in the academic setting for years to come. To date, all postbac computational biology lab members in this position have gone on to pursue PhD, MD, or MD/PhD programs at highest-tier institutions; Dr. Kadoch is firmly committed to mentorship, career guidance and support, and other senior lab personnel will also provide research and career mentorship. The ideal candidate will be exceptionally motivated, highly communicative, mature, detail- and goal-oriented, able to work both independently and in teams, and will possess excellent organizational, communication, and analytical skills.

Please contact Cigall Kadoch, Ph.D. directly at for more information if interested (along with CV/resume) and please copy Dr. Kadoch’s assistant, Ms. Kristen Applegate, at We will hire for this position(s) on a rolling basis over the next couple of months and will close the position once new hires have been confirmed.

For more information about our laboratory, please see the Kadoch Lab website at , our recent publications (, and news via our Twitter handles, @kadochlab, and @ckadoch.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.


The Kadoch lab uses multidisciplinary approaches including biochemistry, biophysics, structural biology, chemical biology, and functional genomics and epigenomics to explore the mechanisms of chromatin remodeling complexes, which are among the most frequently mutated cellular entities in human cancers and other diseases. As such, 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 (RNA-seq), ATAC-seq, ChIP-seq, CUT&RUN, CUT&TAG, single-cell ATAC+RNA-seq, among 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, and artificial intelligence/machine learning (AI/ML) and systems biology-focused efforts (i.e. large genomics and proteomics dataset analysis and integration, Deepmind, Alphafold, Rosetta, other approaches). 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 opportunity with significant potential for the student to work directly with the PI as well as with senior graduate students and postdoctoral fellows to carry forward independent projects resulting in authorship on publications and opportunities to present work at local, national, and international meetings.


BA/BS degree required. 

The successful applicant will have 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 (high performance computing), working knowledge of genomic technologies and bioinformatic processes and/or structural biology, ability to both implement and develop new bioinformatic pipelines in shell scripts, interest and proven abilities in data visualization (such as in ggplot2, matplotlib, D3.js etc.), and proficiency in documenting research processes to ensure reproducibility (e.g., markdown syntax and Git/GitHub) as well as experience in one or more of the following areas: computational biology/computer science, molecular biology, genetics and/or genomics, cell biology, and protein biochemistry and/or structural biology, through focused prior dry or wet lab research experience (i.e. 1-2 years in research laboratories with strong letters of recommendation) as well as undergraduate coursework.

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong.  As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff.  Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.

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