Lead Computational Biologist, NGS Bioinformatics Group

в Dana Farber Cancer Institute (посмотреть профиль)
Город Boston, MA, United States
Опубликовано 28.02.2020
Категория Биоинформатика

Обязанности

Overview

The NGS Bioinformatics Group at Dana-Farber Cancer Institute seeks a Lead Computational Biologist to work on Profile, our institutional comprehensive precision cancer medicine initiative. The candidate will play a key role in developing and optimizing NGS bioinformatic workflows and modules for the analysis of rich and complex somatic and germline data from the Profile project. The candidate will also work closely with clinicians and research scientists to help translate cutting edge research findings into the clinical space and contribute towards taking our precision oncology efforts to the next level.

 

This group is a part of the Department of Data Sciences at Dana-Farber Cancer Institute aimed at driving cancer research through innovation and collaboration in the quantitative sciences. The department is unified by a commitment to improving cancer care through data-driven approaches. We strive to understand the biology of cancer, test the efficacy of treatments and extract knowledge from complex datasets.

 

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

  • Develop and optimize reproducible bioinformatic pipelines for institutional NGS cancer sequencing efforts, including targeted capture assays, RNA-seq, whole exome, whole genome and cfDNA
  • Integrate tumor mutation burden (TMB), microsatellite instability (MSI), viral integration, and other genomic signatures into the clinical workflow
  • Collaborate with clinicians and researchers to identify and integrate cutting edge research findings into the clinical workflow
  • Interface with the Bioinformatics Platform Group, which will be developing a new scalable, cloud-based platform for running all NGS sequencing pipelines
  • Effectively communicate results to immediate collaborators and to the larger bioinformatic and clinical communities via publications and presentations

Требования

Qualifications

  • PhD in bioinformatics, computer science, statistics and/or the life sciences with proven experience in developing NGS methods and pipelines
  • Proficiency in Python, R/Bioconductor, and Bash in high-performance computing environments
  • Experience with workflow standards such as CWL/WDL and workflow execution engines such as Cromwell
  • Strong interest in contributing to biological research and cancer genomics

The candidate must demonstrate excellent communication skills, outstanding personal initiative and the ability to work effectively as part of a team. Ability to meet deadlines and efficiently multitask is a must.

Условия

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.

 

Visa sponsorship 

DFCI can sponsor working visas throughout the year without a requirement to participate in working visa lottery.     

How to Apply

Please proceed here https://careers-dfci.icims.com/jobs/16682/lead-computational-biologist%2c-ngs-bioinformatics-group/job

Перетащите файл сюда Выбрать файл ...
Отправляя отклик, я соглашаюсь с политикой обработки персональных данных