Computational Associate II - Hacohen - Lander Labs

Job Description

The at the is looking for an exceptional candidate to provide computational support to collaborative research projects. This is a unique opportunity to work in the laboratory of Dr. Eric Lander, Founding Director of the Broad Institute.

Our projects utilize genomics to study gastrointestinal tumors, with a particular focus on pancreatic cancer using lineage tracing, single-cell RNA-sequencing, single-cell multiomics, functional genomics (perturb-seq), and analysis of mitochondrial mutations in human samples for subclonal lineage analysis, among other techniques.

We are looking for applications with a strong background in programming, statistics, and machine learning. Experience with single-cell genomics data is preferred.

Specific areas of interest include:

• Plasticity and evolution of tumor cells under treatment pressures using lineage tracing.

• Functional genomics and perturb-seq to modulate plasticity.

• Single-cell transcriptomics to study transcriptional heterogeneity in tumor cells and immune cells in GI tumors.

• Spatial transcriptomics and imaging to understand immune, stromal, and tumor cell interactions.

• Early detection of tumors and development of computational and experimental methods towards this.

We are looking to build a collaborative, rigorous, and dynamic research environment with strong connections between wet and dry labs. As a Computational Associate, you will be mentored in genomics and statistical analysis while working with other lab members (or independently) on exciting research projects. You will have opportunities to publish and present your work, and to interact with our collaborators at MGH, DFCI, MIT, Harvard, and the Broad Institute.

Principal responsibilities:

• To support research projects as needed, including: managing large amounts of data, monitoring and running pipelines, and performing analyses on a broad range of multiomic data types.

• To develop, enhance, and maintain current and new bioinformatics pipelines.

Minimum requirements:

• Bachelor's degree in Computer Science/Engineering, Biology, Bioinformatics, or a related field required. MSc degree preferred.

• Experience with programming for biological data analysis.

• Strong academic record and excellent communication skills.

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

• Requires attention to detail to accomplish critical tasks and understanding of the impact of the work product on departments, current systems, and the organization as a whole.

• Requires the ability to work accurately while meeting tight deadlines within an environment with changing priorities.

• Must be a 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.
  
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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.