Postdoctoral Research Fellow - Computational Biologist - Gillani Lab

About the role

The Dana-Farber Cancer Institute seeks a Postdoctoral Computational Biologist in the Gillani Lab in Computational Pediatric Cancer Research. The mission of the Gillani Lab is to advance pediatric, adolescent, and young adult cancer care using cutting-edge computational biology approaches.

Responsibilities

• 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
• Collaborative efforts between the Dana-Farber Cancer Institute, the Broad Institute, Boston Children’s Hospital, the Harvard Medical School, and multiple other institutions
• Generating tools needed for manipulating and preparing data for display; transferring data to external collaborators and data repositories
• Maintaining, supporting, and documenting shared tools, code, and data sets

Requirements

• 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
• 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
• Willingness to learn new languages and tools as the field grows, as well as have an interest in cancer biology/ medicine more broadly

Qualifications

• Ph.D. in genetics, computational biology, statistics, computer science, biomedical engineering, mathematics, or other related disciplines/ comparable research experience
• 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

Skills

• Strong background in statistics and biology
• Experience managing and curating large datasets
• Excellent oral and written communication skills
• 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
• Willingness to learn new languages and tools as the field grows

Benefits

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.

Pay

$72,000.00 - $76,385.00

Schedule

Primary Duties And Responsibilities