Job Description:
Job Description The Wagle laboratory based at Dana-Farber Cancer Institute and the Broad Institute of Harvard and MIT focuses on translational cancer genomics and precision cancer medicine. The major goals of the laboratory are to use systematic genomic and molecular characterization of tumor samples from patients with cancer to better understand the molecular determinants of tumorigenesis characterize mechanisms of therapeutic response and resistance and identify novel characteristics of tumors that might aid in clinical decision-making.The Count Me In team is a passionate group of people focused on patient-partnered cancer genomics projects that enable cancer patients across the US and Canada to partner directly with researchers and share their medical records tumor samples and voices to advance the understanding of cancer. The ultimate goal of each project is to generate freely available datasets of patient-reported genomic molecular and clinical data to advance the understanding of these diseases and lead to the development of new therapies.
The candidate for this position will join a team of computational biologists to analyze data from Count Me In and the Wagle lab in order to help address clinical biological and translational questions in cancer. Responsibilities - Apply existing and novel algorithms to cancer datasets analyze data quality metrics and critically review and analyze results.
- Implement and run best-practice methods with workflow description language (WDL) in our cloud-based analysis and delivery platform Terra.
- Typical analyses might include the execution of existing and novel computational pipelines to 1. assess data quality 2. characterize germline and somatic variants and 3. create aggregated clinical and genomic databases.
- Creation of databases and platform-specific file formats for frequent data release cycles of various Count Me In patient-partnered projects.
- Maintaining versioning and archives for data releases for CMI projects with updated written standard operating procedures.
- Communicate with key stakeholders (biologists computational biologists project managers external data users) regarding results and data release processes.
Qualifications - BS in computer science or related field with coursework in bioinformatics or biology and at least 2 years of related experience.
- Experience with programming languages like Python Jupyter Notebooksshell scripting Firecloud/Terra R WDL etc.
- Experience with computational analysis and statistics.
- Experience with docker images or cloud computing and Github.
- Experience with high throughput next-generation sequencing.
- Knowledge of multi-layered clinical and genomic databases.
- Excellent oral written interpersonal and organizational skills are essential.
- Excellent communication skills and the ability to be independent and proactive are a plus.
- Demonstrated ability to work as part of a large interdisciplinary team.
- Ability to adapt plans and priorities to rapidly shifting project goals.
All Broad employees regardless of work location must be fully vaccinated for COVID-19 byTuesday October 12 2021. Requests for exemption for medical or sincerely held religious beliefs will be considered.
All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or protected veteran status.
All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or protected veteran status. EEO is The Law - click here for more information Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled Check out this video for a look into our community! |
