Biostatistician I - Immunology/Infectious Diseases

Overview

Join the HJF Team!

HJF is seeking a Biostatistician I to join the B cell Immunology Section, led by Dr. Shelly Krebs in support of the US Military HIV Research Program (MHRP; HIVResearch.org) and the Emerging Infectious Diseases Branch (EIDB; EIDResearch.org) of the Walter Reed Army Institute of Research. The lab uses high throughput, cutting edge technologies to investigate the immune response resulting from vaccination or infection from viral pathogens, resulting in large datasets. We are at the forefront of developing new technologies to enable new vaccine strategies and identify monoclonal antibodies for prevention and treatment of infectious diseases, such as HIV, Zika, dengue, and coronaviruses.

The successful candidate will have experience processing, integrating, and analyzing high-dimensional biological datasets using current bioinformatics and programming tools. The research will include developing and applying computational/bioinformatical methods for analyzing and visualizing data from high-throughput antibody binding and neutralization assays, single cell next generation sequencing, and systems serology. Projects may be tailored to suit the candidate's research interests and expertise. Knowledge or experience with biostatistics is preferred. The candidate must be able to multi-task and prioritize project timelines when necessary. Strong communication and inter-personal skills are required. The candidate should be highly motivated and able to work both independently and in a team setting. The candidate will work within a multidisciplinary environment consisting of military, government, academic, and international collaborators. Telework options are available for this opening.

The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals.

Responsibilities

Responsibilities

• Performs bioinformatical and statistical analyses of scientific data in support of research and clinical study goals.
• Provides summaries, interpretations, and presentation of bioinformatical analysis and statistical results in written, tabular, and visually appealing formats needed for presentations and scientific publications.
• Performs high performance computing and statistical analysis of scientific data including using software such as SAS, STATA, R, and/or Python.
• Utilizes statistical/computational modeling, such as machine learning, to evaluate relationships within and between large datasets.
• Develops and refines new techniques to analyze data generated from next generation sequencing.
• Analyzes and interprets data; writes and prepares reports, abstracts, and manuscripts for publication in peer-reviewed scientific journals. Presents data at scientific meetings. Works with peers to develop data analysis summaries and research summary.
• Works with laboratory investigators to integrate data into analysis pipelines to ensure quality control of laboratory data. Works with scientists to generate analysis pipelines to capture and document data from raw files thru analyzed data files.
• Provides support and consultation in bioinformatics and statistical methods.
• Maintains knowledge of current and emerging trends in bioinformatics and statistical methodology.
• May perform other duties and responsibilities as assigned or directed by the supervisor.

Qualifications

Education and Experience

• Bachelor's Degree; Master's preferred in Bioinformatics, Computational Biology, or Biostatistics.
• Minimum of 3-5 years' experience required.

Required Knowledge, Skills and Abilities

• Proficiency in programming (e.g. Perl, Python or CIC++) and statistical computing (R, SAS, Python and/or equivalent). Experience in regression analysis, ROC analysis and other machine learning techniques.
• Ability to apply bioinformatic approaches to large datasets for visualization of complex data into graphics for presentations and publications. Skills in descriptive analysis, modeling of data and graphic.
• Excellent verbal and written communication skills and capable of contributing to publications and reports to clearly explain the results from bioinformatic analysis.
• Ability to meet deadlines of projects. Good time management skills; can prioritize multiple assignments. Excellent organizational skills.
• Capable of working both independently and as a team player. Strong interpersonal skills.
• Ability to communicate technical information to both technical and non-technical audiences and work within a collaborative team.
• Capability of analyzing data from experimental platforms including NexGen sequencing is a preferred but not necessary.
• Some knowledge of biological research and laboratory procedures 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.

Some HJF employees are required to be fully vaccinated against COVID-19. Proof of vaccination or an approved religious or medical accommodation will be required.

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, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

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