Location:450 Brookline Ave, Boston, MA 02215
Category:IT/Informatics
Employment Type:Full time
Work Location:Full Remote: 4-5 days remote/wk
Overview
The Knowledge Systems Group (KSG) operates at the crossroads of cancer genomics, software, and medicine. Our platforms are focused on mining cancer genomic data sets, matching patients to clinical trials, and building cloud-based infrastructure for sharing data across cancer centers. KSG is participating in a NCI sponsored Cancer Moonshot initiative called the ImmunoOncology Biomarkers Network (cimac-network.org/) and KSG is building the data coordination and distribution system called the Cancer Immunologic Data Commons.
You can find more information about us online at: ds.dfci.harvard.edu/knowledge-systems/, ds.dfci.harvard.edu/knowledge-systems/ksg_engineers/ and
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.
Requirements
The Department of Data Sciences within the Dana-Farber Cancer Institute is seeking a Bioinformatics engineer to help build open-source software to enable precision cancer medicine.
The Bioinformatics Engineer should be a someone who has experience writing great software and exposure to real world bioinformatics. The candidate must have participated in at least one bioinformatics project dealing with Next Generation Sequencing (NGS) data, and/or other molecular assays. Additionally, the candidate must have some exposure to writing high quality code in a professional, or open-source setting. This is an exciting opportunity to be involved with a NCI Cancer Moonshot project which is one of the largest efforts to collect biomarker data within the immuno-oncology space.
This engineer will join a small team managing the collection, processing and dissemination of molecular and clinical data generated by the CIMAC-CIDC network (cimac-network.org). You will participate in maintenance / enhancements of the cloud native data portal, support ingestion of data for existing and new assays. Finally you will need to think creatively about how to best aggregate molecular and clinical data across multiple clinical trials and assay modalities. Creative thinkers and rapid prototypers will thrive in this role. You will be exposed to multiple data types including; DNA and RNA sequencing (bulk and single-cell), ATACseq, CyTOF, seromics assays and multidimensional imaging.
Responsibilities
- Support the transfer of the network’s molecular and clinical data via our cloud native data portal.
- Maintain and enhance the cloud native data portal.
- Participate in the development of new Python software, developed via best practices, including unit testing, automated build processes and code reviews.
- Participate in exploratory projects to extract and aggregate biomarker data across clinical trials and assay modalities.
Qualifications
- Bachelor’s or Master’s Degree in Computer Science, Bioinformatics, Computational Biology or a related field.
- Prior experience writing software in an open-source or professional environment.
- Strong Python skills (prior experience with cloud computing a plus).
- Prior experience with Next Generation Sequencing (NGS) data, and or other molecular assays in a scientific setting.
- Willingness to work in an agile, research environment while building production-grade software.
- Exposure to web development technologies such as python web servers, API development, javascript and Reactjs.
- Exposure in modern software development technologies, including distributed versioning systems, continuous integration, and Agile programming practices.
- Working knowledge of relational and non-relational databases.
The candidate must also demonstrate strong 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.
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