Associate Director, Immuno-oncology Computational Biology

Dana-Farber Cancer Institute
United States Massachusetts Boston
www.Click2apply.net/cz82m9w5tdqn7fvj

Description

Overview


Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS 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 within the Dana-Farber Cancer Institute seeks an Associate Director, Immuno-Oncology Computational Biology. This is an Associate Director Level, Research Staff Scientist position to lead a new bioinformatics team, focused on enabling the computational and bioinformatics needs of theDFCI Center for Immuno-Oncology (CIO). We are seeking an exceptional candidate who has deep experience in computational biology and immuno-oncology andexperience leading a small team of computational biologists.


Responsibilities

Responsibilities:
• Interface with faculty in the Department of Data Sciences and the Center for Immuno-Oncology (CIO) to develop a prioritized road-map of current and future computational needs for immuno-oncology.
• Recruit, manage and mentor a small team of computational biologists.
• Oversee the continued development of computational methods and pipelines needed for current and future I/O assays, including Multiplex ImmunoFluorescence (MiF), WES/WGS, RNA-seq, TCR/BCR sequencing, neoantigen prediction, CyTOF, and Multiplexed ion beam imaging (MIBI).
• Oversee the creation of a common informatics platform for processing all I/O assays, integrating with clinical data, and ensuring rapid computational analysis needed for publications.
• Conduct meta-analyses across different profiling techniques and across different immuno-oncology trials.
• Contribute to collaborative projects and co-author publications
• Communicate new findings in a translational research environment strongly focused on discovery and development of novel immunotherapies to improve patient care.


Qualifications

Qualifications


Required skills:
• PhD (or equivalent) in computational biology, bioinformatics, or related fields.
• Publication record in immuno-oncology and/or cancer genomics.
• Proven experience in managing a team of computational biologists.
• 5+ years of research / working experience in bioinformatics and genomics.
• Strong quantitative (statistics, computer science) and programming (Python & R) skills.
• Good knowledge of molecular genomics and immunology
• Working experience with high throughput sequencing data is required.
• Experiences with CyTOF, IHC, or serum cytokine analyses would be a significant plus.
• Able to work independently to resolve time-sensitive issues and balance multiple projects.
• Able to communicate with collaborators at all levels.
• Strong project management skills and detail oriented.
• Strong interest in contributing to translational cancer research
The candidate must also demonstrate outstanding personal initiative, work effectively as part of a team, meet deadlines, and efficiently multitask.
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.


Apply here: www.Click2apply.net/cz82m9w5tdqn7fvj


PI107545478


Start date

As soon as possible

Start date

To be determined

How to Apply

Apply online