Computational Biologist - Murtha Cancer Center
Join the HJF Team!
HJF is seeking a Computational Biologist to support the Murtha Cancer Center Research Program (MCCRP) located at Uniformed Services University (USU) in Bethesda, Maryland. HJF provides scientific, technical, and programmatic support services to MCCRP.
The Computational Biologist will perform cancer genome data analysis within the Applied Proteogenomics Organizational Learning and Outcomes Network (APOLLO) (PubMed ID # 30838639) and Dr. Wilkerson’s research group [Register to View] The Computational Biologist will analyze molecular profiling data generated at Uniformed Services to characterize tumor biology, such as identifying driver molecular alterations, molecular subtypes, and prognostic markers. Molecular profiling platforms will include DNA-WGS, RNA-seq, single cell, spatial sequencing, and/or related platforms. This is an exciting opportunity to be a key analyst in collaborative studies, make primary contributions to scientific publications, and have opportunity for scientific and career growth.
NOTE: All HJF employees are required to be fully vaccinated against COVID-19. Proof of vaccination or an approved religious or medical accommodation will be required.
- Performs production genome data analysis for cancer cohorts. Production analysis will consist of data generation, quality assessment, integrated statistical analysis, and management of data and analysis milestones. (40%)
- Delivers analysis presentations and coordinates discussion on scientific teleconferences among collaborators. (10%)
- Leads and conducts novel data-driven and hypothesis-directed cancer genomics research, including development of computational analysis tools for topics such as mutation discovery, subtype discovery, structural variant analysis. (30%)
- Writes experimental results, generates figures for publication in technical and peer-reviewed journals and conferences. (20%)
- May supervise junior informatics staff and perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role.
Required Knowledge, Skills and Abilities: Research experience in cancer genomics demonstrated through publications; programming ability in R and (Python or Perl), experience with SQL databases; experience with large scale sequencing analysis (single cell, spatial RNA sequencing, RNA, WGS, and/or WES) – variant detection, subtype discovery, hypothesis testing, and/or machine learning; experience with pipeline development and implementation on compute clusters; experience with cloud environments is a plus; demonstrated ability to work effectively as part of a team; good communication and analytical skills.
Minimum Education: Master’s degree in computational biology, Bioinformatics, Biostatistics, Computer Science or related discipline required. Doctoral degree preferred.
Minimum Experience/ Training Requirements: A minimum of 0-2 years of experience is required.
Work Environment: Office environment.
Work Arrangement: 100% onsite.
Background/Security: Eligibility to obtain and maintain a Tier I investigation/Public Trust and a Common Access Card (CAC).
Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, addresses, education, and credentials, a criminal background check, drug screening, and a department of motor vehicle (DMV) check.
Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.