Postdoctoral Research Fellow - Computational Functional Genomics - Gillani Lab

The Dana-Farber Cancer Institute seeks a Post-Doctoral Computational Biologist in the Gillani Lab in Computational Pediatric Cancer Research ((Use the "Apply for this Job" box below).). The Post-Doctoral Computational Biologist will work on the analysis of genomic, transcriptomic, and epigenomic datasets with the goal of arriving at new insights around targetable biology and clinical biomarkers to advance the care of pediatric cancer patients.

The mission of the Gillani Lab is to advance pediatric, adolescent, and young adult cancer care using cutting-edge computational biology approaches. We strive to understand the germline genetics and tumor genomics of pediatric cancer to inform novel approaches to treatment. We value great science that matters to patients, caring about each other as people and colleagues, and fostering an environment of mutual respect and collaboration.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life-changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations.

We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

• A Ph.D. in genetics, computational biology, statistics, computer science, biomedical engineering, mathematics, or other related disciplines/ comparable research experience. Candidates with an M.D. who have commensurate research experience are also encouraged to apply.

• Significant research experience in computational biology and its common applications (experience in R and/or Python, as well as cloud computing)

• A strong background in statistics and biology

• Experience managing and curating large datasets

• Excellent oral and written communication skills and the ability to perform both self-directed and guided research

• Outstanding personal initiative and the ability to work effectively as part of a team

• Ability to meet deadlines and efficiently multitask

• Ability to effectively collaborate across a range of individuals from various disciplines, ranging from computer science to clinical medicine

• Ability to seek out mentorship and assistance as needed, while also being a mentor to other members of the research team

Related projects and responsibilities will include, but are not limited to:

• Whole-genome sequencing and single-cell sequencing analysis of tumor samples

• Studies of resistance to existing and emerging cancer therapies using patient-derived data

• Studies of patient samples for tumor behavior and clinical outcomes

• Development and implementation of artificial intelligence and machine learning algorithms for biologically and clinically motivated questions in pediatric oncology

Projects are collaborative efforts between the Dana-Farber Cancer Institute, the Broad Institute, Boston Children’s Hospital, the Harvard Medical School, and multiple other institutions. Projects have the potential to identify novel approaches for personalized care in oncology. In addition, this data may provide support for new methods in clinical decision-making, biomarkers for rational drug development, and new insights into tumor biology through innovative analyses.

The Post-Doctoral Computational Biologist hired for this position will join a collaborative team in this effort and will participate in the design…