Research Fellow

US-MA-Boston
3 months ago
Job ID
2017-8218
Category
Fellowships
Type
full time
Grade
41

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.

 

 

Responsibilities

A full-time post-doctoral computational biologist position is available in the Knoechel Lab Institute (http://knoechellab.dana-farber.org/) in the Department of Pediatric Oncology at the Dana-Farber Cancer for a highly motivated computational biologist to join our translational and basic research efforts in cancer epigenetics. Our research focuses on the application of epigenomic approaches and low cell number technologies to discover new disease mechanisms and exploit them therapeutically.  Specifically, we are interested in 1) Deciphering epigenetic mechanisms of drug resistance in lymphoid malignancies, 2) Understanding the basic biology of epigenetic aberrations in cancer, with a particular focus on pediatric tumors, and 3) Translating bench discovery to clinical care.

 

The qualified candidate will focus on new approaches for the analysis of epigenetic, genomic and transcriptome sequencing data to enable new discoveries in patients in multiple contexts. We seek someone with experience in data analysis who is excited about generating new biological insights by applying existing methods to novel datasets, and by developing new approaches to analyzing these data.

 

The person hired for this position will participate in the design and implementation of algorithms to analyze the data and integrate with other data sets including clinical outcomes data. This person will also help with the generation of tools needed for manipulating and preparing data for display and will also help maintain, support, and document shared tools, code base, and data sets. As the software infrastructure evolves, this position is likely to present diverse and flexible opportunities. The computational biologist will interact and collaborate closely with other laboratory-based scientists and computational biologists across the Dana-Farber Cancer Institute and the BROAD Institute, and will be involved in a series of research activities including cellular and molecular cancer biology.

 

 

Characteristic duties:

  • Applying existing statistical and computational methods to novel datasets
  • Developing and maintaining computational tools
  • Analyzing next generation sequencing data including ChIP-Seq, ATAC-seq, RNA-Seq, etc.
  • Explore existing literature to support and extend conclusions.
  • Prepare research results for publication and for presentations at scientific meetings.

 

Qualifications

Job Qualifications

PhD, MD, or MD/PhD

 

Requirements:

  • Top-tier PhD in bioinformatics, genetics, epigenetics, statistics, mathematical, physical, or computer science, or or a related discipline with significant experience in computer programming and computational biological applications
  • Experience managing and curating large datasets and with machine learning techniques desired. Excellent oral and written communication skills are required.
  • Ability to perform both self-directed and guided research are required.
  • Must demonstrate outstanding personal initiative and the ability to work effectively as part of a team.
  • Ability to meet deadlines and efficiently multitask is a must.
  • Two-year commitment is required.

 

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.

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