Bioinformatics Scientist

Updated: March 16, 2020
Job ID: 215497
Status: Full-Time
Regular/Temporary: Regular
Location: Silver Spring, MD, United States

Join the HJF Team!

HJF is seeking a Bioinformatics Scientist to support the Military HIV Research Program (MHRP) located at the Walter Reed Army Institute of Research (WRAIR) in Silver Spring, MD. HJF provides scientific, technical and programmatic support services to MHRP.

We are looking for an enthusiastic, energetic and motivated individual to join our research effort investigating the functional consequences of human genetic, transcriptome, epigenetic and microbiome variation on HIV-1 and emerging diseases pathogenesis(https://www.hivresearch.org/our-scientists/rasmi-thomas-phd). The candidate will be responsible for designing, leading, and carrying out integrative analyses of these ‘omics’ data, to elucidate cellular pathways and networks that are associated with immune responses to infectious diseases. 

Responsibilities:

  1. The candidate will implement analysis workflows to facilitate multi-omics analysis and pursue bioinformatics analyses in collaboration with scientists at MHRP and other branches at WRAIR. 
  2. Builds analytical workflows for automated deployment of bioinformatics tools for interpreting NGS data.
  3. Analyze, and manage large and computationally complex datasets.
  4. Responsible for maintaining/extending bioinformatics workflows, improving efficiency, and facilitating QC activities. 
  5. Author scientific publications based on both research findings and data analysis results derived from employing standard and novel analysis methodologies.
  6. Supervise and train junior staff.
  7. Present data and issues/problems at weekly section meetings. 
  8. Perform other duties as assigned.

Required Knowledge, Skills, and Abilities: Extensive experience with next generation sequencing computational and analytical tools. The ability to construct high-throughput analysis pipelines for omics data, and to integrate with in-house databases.  Must be highly motivated to solve biological problems, and have experience analyzing large-scale and high-throughput genomics datasets (e.g., whole genome sequencing, ChIP-Seq, methyl-seq, metabolomics or RNA-Seq datasets). 

Experience working with a Linux cluster environment. Experience working with job scheduling such as LSF, PBS, or SLURM. The candidate should have a good knowledge of one scripting language for handling large-scale data (e.g., Python, Perl), and one programming language for implementing computational models and algorithms (R, Matlab, Python, C/C++). 

Must be an enthusiastic, self-directed, and communicative team player; ability to troubleshoot technical procedures; must possess excellent writing and communication skills and be able to supervise junior bioinformaticians. The candidate will be able to work independently as indicated by their ability to publish papers. 

Minimum Education/Training Requirements: Ph.D in Bioinformatics, Computer Science or a related scientific discipline. Candidates with solid understanding of theoretical background including statistics used in bioinformatics analysis will be preferred. 

Minimum Experience: 3 - 5 years of related research experience in analyzing human datasets, with the ability to analyze and interpret data.

Supervisory Responsibilities/Controls: The incumbent will be under the supervision of senior personnel at MHRP.

Work Environment: General office environment.

Background: Must have lived in the US 3 out of the past 5 years; eligible to pass a NACI background.

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.  

HJF is an equal opportunity and affirmative action employer.  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.

Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.
 

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