The NGS Bioinformatics Group at Dana-Farber Cancer Institute seeks a Computational Biologist to work on Profile, our institutional comprehensive precision cancer medicine initiative. The candidate will work on developing NGS bioinformatic workflows and modules for the analysis of rich and complex somatic and germline data from the Profile project 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.This position is fully remote with flexibility to come onsite if desired. Please note that any qualified candidates must reside in MA, RI, or NH.
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.
- Develop reproducible bioinformatic pipelines for institutional NGS cancer sequencing efforts, including targeted capture assays, RNA-seq, whole exome, whole genome and cfDNA
- Benchmark and validate bioinformatics tools and algorithms using public and in-house samples
- Integrate data from public databases into the group's pipelines and analyses
- 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
- Bachelor's degree required. MS in bioinformatics, computer science and/or the life sciences a plus
- 2-3 years of relevant experience
- Hands-on experience in NGS data analyses using state-of-the-art tools and methods
- Proficiency in Python, R/Bioconductor, and Bash in high-performance computing environments
- Experience with workflow standards such as WDL/CWL 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.
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.