Senior Statistician (Center for the Study of Traumatic Stress)

Updated: September 9, 2019
Job ID: 214943
Status: Full-Time
Regular/Temporary: Regular
Location: Bethesda, MD, United States

Join the HJF Team!

HJF is seeking a Senior Statistician for the Center for the Study of Traumatic Stress (CSTS) located in Bethesda, MD. HJF provides administrative and management support to CSTS. US Citizenship is required for this position.

The Center's work addresses a wide scope of trauma exposure from the consequences of combat, operations other than war, terrorism, natural and human-made disasters, and public health threats. CSTS is a part of our nation's federal medical school, Uniformed Services University (USU), and its Department of Psychiatry. 

Responsibilities:

  1. Overall. Works with the Director, Scientific Director, Project PIs, scientists and biostatisticians to achieve the goals of the projects. Identifies educational and training needs of the data analytic team with the Director and Scientific Director. Participates in the recruitment, and develops and leads the training and supervision of the biostatisticians and data analysts. Provides guidance in advanced statistical methods as well as contributes to the future design and methodology of studies. Takes a primary leadership role in the assignment and oversight of the data analytic team in collaboration with the Directors and senior scientists. Supervises project staff and support personnel, ensuring accuracy of work, deadlines are met, and that appropriate resources are available to accomplish tasks. Regularly monitors progress to ensure that critical elements are proceeding on schedule.
  2. Advanced statistical analyses and dataset management. Designs, develops, maintains, and manipulates databases, including establishing, testing, and modifying datasets. Conducts advanced data analyses and constructs variables using large combined Army data sets, requiring considerable ongoing collaboration with partnering institutions. Performs sophisticated statistical analyses and interpretation, designs surveys, and works with different means of survey delivery, including electronic. Performs variable selections through hypothesis testing with multiple degrees of freedom, stepwise regressions, as well as machine learning approaches (e.g. penalized regression with lasso). Uses advanced and cutting-edge statistical analytic skills, including developing hazard risk models in across-time, or repeated measures, analyses. Uses a complex knot approach to identify risk and resilience time elements. Conducts advanced multilevel data analysis across multiple software packages and data analytic platforms, allowing for cross-comparisons of results to identify convergence. Navigates and manipulates files using Linux command lines, tests Linux server performance, and runs large analytic jobs in batch mode through Linux server. Designs study samples using various techniques (e.g. systematic sampling, unequal probability sampling, stratified sampling, propensity score matched sampling, etc.) and creates analytic weights for use in data analysis. Obtains population estimates such as standardized rates and population attributable risks. Uses various regression models (linear regression, logistic regression, multilevel regression), conducts survival analysis and modelling of hazard rates over time (including the use of piecewise linear splines). Obtains predicted probabilities using regression algorithms and assesses prediction accuracy using estimate concentration of risks, sensitivity/specificity, area under the curve (AUC) and mean squared errors. Conducts latent variable analysis (e.g., EFA, CFA). Determines functional forms of predictors empirically. 
  3. Statistical liaison with external organizations. Functions as a primary statistical liaison at critical external meetings and workshops with other federal and non-federal institutions. Integrates knowledge gained from collaborations into CSTS research, and is responsible for training statisticians, scientists, and researches new analytic strategies to further advance the work of the Center. Facilitates information flow between program members, scientific directors, scientists, and biostatisticians across institutions. Provides relevant statistical and project status reports to internal and external partnering institutions. Engages outside agencies and organizations, and communicates with and oversees data use/access and management aspects of collaborations with academic institutions and federal, state, DoD, Army, and local institutions. Identifies opportunities to develop collaborations with other research groups with complementary scholarly and action-oriented goals. Represents CSTS on inter-academic work groups and coordinates with internal and external academic sites and investigators. 
  4. Identifies training opportunities. Identifies external training opportunities to increase the knowledge base of the CSTS and USUHS faculty, scientists, and the data analytic team, and incorporates novel statistical approaches to big data in Center research. Researches training for innovative analytic approaches and represents the Center as a primary statistician at external trainings focused on new analytic approaches (e.g., big data and machine learning). 
  5. Reports and publications. Performs a central role in writing scientific reports and manuscripts for publication in high profile peer reviewed journals. Contributes to the interpretation of statistical analyses and preparation for manuscripts. Manages preparation of required reports, ensuring that deadlines set by external agencies (e.g., Department of the Army, CDC, NIMH) are met. Performs literature searches.
  6. Recruitment/hiring statisticians. Human resources and statistical personnel management, including recruitment, hiring, and staff coordination, and furnishes guidance and assistance to senior program managers as needed.
  7. Performs other duties as required.

Required Knowledge, Skills, and Abilities:  Knowledge of statistics and study design; proficiency in SAS and Linux including programming and use of statistical procedures; other programs necessary for conducting analyses as appropriate (e.g., R, STATA, MPlus, HLM, LISREL); knowledge of large databases and other programming languages (e.g., C++) and software such as Microsoft Word, PowerPoint, Excel and Access 2003 and 2007; expertise in data management, advanced statistical analysis of longitudinal and repeated measurement data and “big data”; proficiency in communicating effectively with senior level project managers and senior scientists as well as statistical personnel; excellent manuscript writing skills; knowledge of qualitative data analytic procedures preferred but not required. Excellent leadership and management skills in order to assist the Director and Scientific Director in identifying team needs, and work with senior scientists in leading and managing the data analytic team.

Minimum Education/Training Requirements:  Master’s degree in Biostatistics, Measurement, or related field.

Minimum Experience:  10 to 15 years of experience.

Physical Capabilities:  Extended periods of sitting.

Supervisory Responsibilities/Controls: Oversees and manages data analytic team and research assistants supporting projects working with big data.

Work Environment: Office or laboratory environment.

Background: US Citizenship required; eligibility to obtain and hold a Secret Security Clearance.

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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