Job
Senior Bioinformatics Scientist
Organization
The Henry M. Jackson Foundation, Silver Spring, Maryland, United States
Scientific focus area
Clinical Research, Computational Biology, Immunology, Microbiology and Infectious Diseases, Molecular Biology and Biochemistry
HJF is hiring a Senior Bionformatics Scientist to apply bioinformatics techniques that are critical for responses to infectious diseases, including HIV-1, dengue and zika. This position is to support the Military HIV Research Program (MHRP) located at the Walter Reed Army Institute of Research (WRAIR) in Silver Spring, MD. The Laboratory of Integrative Multiomics, led by Dr. Rasmi Thomas, uses cutting-edge next-generation sequencing technologies'
About the position
Note: This site requires that non U.S. Citizens reside in the United States for three of the five recent years. Responsibilities Develops and guides the implementation of customized pipelines to efficiently analyze multiomics data. Trains and supervises junior scientists, bioinformatics analysts and students. Acts as a liaison with research partners. Applies for grants to support to novel lines of research. Prepares funding documents, written reports, manuscripts for submission to scientific journals and patent applications. May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role.
Apply for this vacancy
What you'll need to apply
Please submit an application here: https://internal-hjf.icims.com/jobs/4321/senior-bioinformatics-scientist/job
Contact name
Stella Madden
Contact email
Qualifications
Education and Experience Masters Degree required, PhD in Bioinformatics or Computational Biology preferred. Minimum of 6-8 years experience required. Required Knowledge, Skills and Abilities Expert level programming in languages such as R or Python, demonstrated with sample code. Experience working in a Linux computing environment. Supervisory management experience, team lead, or mentor experience. Able to multi-task and prioritize project time-lines when necessary. Experience analyzing high-dimensional biological datasets using the R statistical programming language. Knowledge of genomics, genetics or infectious disease is desired. Experience analyzing single-cell omics data is preferred. Ability to obtain and maintain a T1/Public Trust background check. Work Environment This position will take place primarily in an office setting.
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