Biostatistician IV - Infectious Diseases (Hybrid

Location

Bethesda, MD | United States

Job description

Join the HJF Team!

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.

HJF is seeking a Biostatistician IV   to support the Data Coordinating and Analysis Center (DCAC) for the Military HIV Research Program (MHRP) and the Emerging Infectious Diseases Branch (EIDB) of the Walter Reed Army Institute of Research (WRAIR), whose Home Office is located at 6720A Rockledge Drive, Bethesda, Maryland. HJF provides scientific, technical, and programmatic support services to MHRP, EIDB, and affiliated programs. 

DCAC is an in-house centralized resource for clinical data management, biostatistical analysis, reporting, and training in support of clinical trials and scientific research. The Biostatistician IV will provide team managerial oversight and statistical support for new and ongoing HIV and other emerging infectious disease studies conducted by MHRP, EIDB, and affiliated programs, involving clinical observational research, laboratory research, clinical trials, and other research studies.

• Provides managerial oversight for the data analysis team, comprised of research analysts, epidemiologists, and biostatisticians by ensuring that resources are sufficient to meet deadlines, regularly monitoring progress, and ensuring the quality and accuracy of analytic deliverables.
• Responsible for the overall design, analysis, and reporting of statistical research studies, including clinical trials and observational cohorts to advance scientific knowledge in HIV and other emerging infectious diseases.
• Collaborates with and may provide consultation to investigators and other research partners to formalize statistical analysis plans and publication goals and provides biostatistical expertise on design, analytic strategies, interpretation, and presentation of statistical results for clinical and observational research.
• Assists with the preparation of study documentation, such as study protocols, reports, scientific abstracts, peer reviewed manuscripts, grant proposals, and responses to regulatory agencies, institutional review boards, and other agencies as needed.
• Conducts statistical analyses of clinical trial and cohort data, including laboratory measures, using appropriate statistical software (SAS, STATA, and/or R), and performs power calculations to estimate sample size or minimum effect sizes. Provides summaries, interpretations, and presentation of statistical results in written, tabular, and visual formats as needed to support reporting goals.
• Participates in recruitment, hiring, and staffing coordination, as needed.
• Maintains knowledge of current and emerging trends in statistical methodology.

Supervisory Responsibilities

• Direct authority to make decisions on employee hiring, disciplinary action, starting salaries and merit increases; Conduct employee performance evaluations and directs work activities.

Education and Experience

• Master's Degree required, preferably in Biostatistics or related field.
• Minimum of 9-10 years experience required.

or 

• Doctoral Degree required, preferably in Biostasticis or related field. 
• Minimum of 3-5 years experience required.

Required Knowledge, Skills and Abilities

• Experience working in HIV, other emerging infectious diseases (EIDs), and/or clinical trials research.
• Knowledge and ability to use and explain complex epidemiologic research methods for assessing the risk of disease in humans due to potential risk factors.
• Expertise in statistical programming including experience with advanced biostatistic methods; knowledge of statistical and mathematical software including SAS, Stata and/or R.
• Excellent verbal, written, and interpersonal skills.
• Ability to make effective presentations and publish.
• Ability to be detail-oriented and manage multiple tasks.
• Experience managing teams; and, ability to work independently, as well as in a team environment.

Work Environment  

•   This position will take place primarily in an office setting

Some positions or sites may require that the incumbent be fully vaccinated against COVID-19. Proof of vaccination may 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.

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