Postdoctoral Associate - Xavier Lab

The Broad Institute • Cambridge, MA

16h • Onsite

About The Position

The Broad Institute of MIT & Harvard is seeking a highly motivated Postdoctoral Associate to join the Xavier Lab and Klarman Cell Observatory. This role will lead data analysis and algorithm development designed to determine the underlying factors contributing to health and disease, with a strong focus on discovering disease mechanisms at the level of their molecular and cellular pathways. The group is interdisciplinary with expertise in computational biology, functional genomics, microbiology, and immunology. The candidate will work closely with computational and experimental biologists, including Principal Investigators, graduate students, and staff scientists. They will contribute by directing, planning, and executing the analyses of large multi-omic datasets with the goal of identifying biological features (e.g., variants, genes, microbes) that are relevant to human health. Prospective applicants should have made significant contributions to their area of study, as evidenced by a strong publication record. The ideal candidate will be the computational analysis lead for projects discovering the mechanisms behind inflammatory and autoimmune diseases, possessing excellent technical expertise and a drive for biological impact. Specifically, this postdoc will take primary leadership for analyzing spatial and single-cell multiomics datasets collected from human tissue samples and mouse models.

Requirements

• Ph.D. in Computational Biology, Computer Science, Physics, Math, Statistics, or related quantitative fields.
• Strong knowledge of a variety of biological areas of research.
• 0+ years of experience within the field.
• Scientific and numerical programming in Python or R.
• Knowledge of a variety of ML methods and deep learning methods.
• Well versed in a variety of bioinformatic analyses, including Next Generation Sequencing pipelines (single-cell RNA-Seq, single-cell ATAC-Seq, spatial transcriptomics analyses etc.).
• Excellent critical thinking, research, and analytical skills.
• Excellent communication and interpersonal skills and the ability to work with biologists, computational biologists, data scientists, and software engineers.
• Must be able to work independently as well as part of a team in a fast-paced, highly collaborative environment.
• Demonstrated ability to carry out a variety of tasks in parallel, recognize and solve problems effectively, and shift priorities rapidly.

Responsibilities

• Oversee data generation and data analysis across various internal and external collaborations, including working datasets such as single-cell RNA-Seq, single-cell ATAC-Seq, spatial transcriptomics, proteomics, metabolomics, and/or microbiome data.
• Demonstrate flexibility to execute tasks requiring various skill levels and learn new skills as needed.
• Perform analyses using current processes and identify, propose, and implement improvements to ensure output of high-quality datasets.
• Work with other team members and leadership to plan project requirements and timelines, shift priorities as needed, and efficiently execute project tasks.
• Identify and help solve methodological problems, including adjustments to experimental and computational protocols to ensure generation of high-quality datasets suited to answer core biological questions.
• Use single cell and spatial transcriptomic approaches to understand tissue organization and how they are altered in disease environments such as chronic inflammation.
• Use a systems medicine approach to understand inflammatory and other diseases.
• Develop novel methods to facilitate exploration of unstructured datasets.
• Write well-crafted, maintainable, scalable, and performant code.
• Lead and carry out projects with minimal supervision.
• Participate in writing papers and grant proposals.
• Present project progress during group meetings.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• 401(k) retirement plan
• Flexible spending accounts
• Health savings accounts
• 13 paid holidays
• Winter closure
• Paid time off
• Parental and family care leave
• Employee assistance program

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree