Scientist, Cancer Immunologic Data Commons (Liu Lab)

Job Description

Overview

Located in Boston, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

The Department of Data Sciences seeks a Scientist to lead development of the Cancer Immunologic Data Commons at Dana-Farber. The Scientist will work closely with the laboratories of Drs. X. Shirley Liu, Ethan Cerami, Catherine Wu, and Steve Hodi to manage various bioinformatics aspects of immune-profiling tools and analyses. We are looking for exceptional candidates with strong project management, computational biology, and communication skills.

Dana-Farber Cancer Institute (DFCI) was recently awarded a five-year grant from the National Cancer Institute (NCI) as part of the Cancer Moonshot Project to build a Cancer Immunologic Data Commons (CIDC). NCI plans to conduct comprehensive profiling of tumor, blood, and fecal samples from NCI-sponsored immuno-oncology trials at four Cancer Immune Monitoring and Analysis Centers (Stanford, MD Anderson, Mt Sinai, and DFCI). The CIDC is responsible for building the database infrastructure, bioinformatics pipelines, and computational algorithms for the resulting profiling data and related clinical data, enabling integrated analysis across trials and sharing of all data by the larger immuno-oncology research community. The goal of the project is to enable systematic incorporation of biomarker studies in NCI-supported early immunotherapy clinical trials to better understand and predict which patients respond to certain immunotherapy treatments.

Responsibilities

• Lead a small team of bioinformatics engineers and analysts.
• Manage communication and projects across multiple stakeholders: Dana-Farber investigators, Cancer Immune Monitoring and Analysis Centers, trial centers, biopharmaceutical companies
• Develop the bioinformatics analysis algorithms and pipelines for various high throughput profiling techniques
• Conduct meta-analyses across different profiling techniques and across different immune-oncology trials.

Qualifications

• PhD degree in bioinformatics or related field
• 5+ years of research / working experience in bioinformatics and genomics
• Able to effectively and independently manage complex projects in a time-sensitive environment
• Strong quantitative (statistics, computer science) and programming (Python & R) skills
• Strong organizational, communication and interpersonal skills
• Experience managing small teams or supervising direct reports
• Good knowledge of (or enthusiastic willingness to learn) cancer genomics and immunology
• Experience with WES, RNA-seq, scRNA-seq, ATAC-seq, TCR/BCR-seq, metagenomics, CyTOF, serum cytokine, IHC, flow cytometry data analyses.
• Strong interest in contributing to translational cancer research.

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 groups as protected by law.