Computational Associate I

Computational Associate I

The Hacohen and the Sade-Feldman labs at MGH and the Broad Institute are seeking an exceptional candidate to conduct data analysis to understand immune responses in cancer patients.  As an Associate Computational Biologist, you will be mentored in transcriptomics and genomics, have opportunities to publish and present your work, and interact with our collaborators at MGH, MIT, Harvard, and the Broad Institute.

Specific areas of interest include:

● Single-cell transcriptomics from patient tumors to study cellular and molecular features associated with clinical response/resistance

● Spatial transcriptomics and imaging analysis

● Clonal dynamics of T cells during therapy

● Pooled in vivo or in vitro CRISPR-based genetic screens

Principal responsibilities:

● Support a diverse set of research projects, including: large-scale single-cell transcriptomics and single-molecule resolution spatial analyses; CRISPR-based genetic screens analyses

● Develop, enhance, and maintain current and new bioinformatics pipelines

● Think critically about the underlying biological questions and computational approaches in order to derive insights

● Clearly communicate findings through visualizations, statistics, and text

Minimum requirements:

● Bachelor’s or master’s degree in Computer Science/Engineering, Biology, Bioinformatics, or a related field required. MSc degree

preferred.

● Experience with programming for biological data analysis (Python, R, scripting).

● Strong academic record and excellent communication skills.

● Demonstrated proficiency in written and verbal presentation of analyses and associated recommendations.

● Attention to detail to accomplish critical tasks and understanding of the impact of the work product on the research goals

● Ability to work accurately while meeting tight deadlines within an environment with changing priorities.

● Strong team player with the ability to work well in a dynamic team environment.

● Excellent analytical and problem-solving skills. Ability to take initiative, embrace challenges, and develop creative solutions.

● Strong oral and written communication skills. Able to develop effective relationships with individuals at all levels in a matrix

environment.

● Demonstrated ability to adhere to confidentiality policies given access to sensitive clinical information.