Computational Biologist Research Fellow - Boston, MA | Biospace
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Computational Biologist Research Fellow

Dana-Farber Cancer Institute

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Location:
Boston, MA
Posted Date:
9/22/2017
Position Type:
Full time
Job Code:
99383379
Salary:
Required Education:
Doctorate/PhD
Areas of Expertise Desired:
Cancer,

Job Description

The Lohr Lab seeks a POSTDOCTORAL COMPUTATIONAL BIOLOGIST AND DATA SCIENTIST FELLOW, under the Lohr Lab (http://lohrlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of our “liquid biopsy” efforts to help advance approaches to precision cancer medicine. We are developing liquid biopsy approaches to obtain biological information about cancer, simply from a vial of blood. We focus on circulating tumor cells (CTCs) and circulating cell-free DNA (cfDNA) that can be obtained from the circulation of cancer patients. Using next-generation sequencing and other high-throughput methods we can follow how cancer changes in real-time. These span whole genome, whole exome sequencing, targeted sequencing and RNA sequencing from single cells or from bulk. These technologies help us to gain insight into cancer, even when a tissue biopsy is not possible.

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.

Requirements

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.

We have collaborations with clinical investigators, experimentalists, computer scientists, and disease experts at Dana-Farber Cancer Institute, at the Broad Institute and neighboring institutions. 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 and the BROAD Institute.

Characteristic duties:

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


The qualified candidate will focus on new approaches for the analysis of transcriptome (RNA) and DNA sequencing data of circulating tumor cells, circulating cell-free DNA, and matching tumors to enable new discoveries in patients under 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.

Job Qualifications

PhD, MD, or MD/PhD

Requirements:

  • Ph.D. in bioinformatics, genetics, statistics, mathematical, physical, or computer science or a related discipline with significant experience in computer programming and computational biological applications
  • Knowledge of python, LSF or other job scheduler, and/or bioinformatics tools is required
  • Practical experience in data analysis
  • Experience with biological data, especially genetic data
  • 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 is a must
  • Two-year commitment is required

Schedule

Full-time opportunity

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.

PI99383379