Postdoctoral Associate - Xavier Lab

Broad Institute • Cambridge, MA

124d • $70,000 - $92,667 • On-Site

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 focused on determining the underlying factors contributing to health and disease, with a strong emphasis on discovering disease mechanisms at the molecular and cellular pathway levels. The candidate will collaborate closely with computational and experimental biologists, including Principal Investigators, graduate students, and staff scientists. The position involves directing, planning, and executing analyses of large multi-omic datasets to identify biological features relevant to human health. The ideal candidate will be the computational analysis lead for projects investigating the mechanisms behind inflammatory and autoimmune diseases, with a focus on analyzing spatial and single-cell multiomics datasets 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 class 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.

Nice To Haves

• Significant contributions to their area of study, as evidenced by a strong publication record.
• Creative and highly motivated individuals who want to work in a dynamic, multi-disciplinary research environment.
• Excellent technical expertise while being driven to make a biological impact.

Responsibilities

• Oversee data generation and data analysis across various internal and external collaborations, including 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