The Institute for Medical Research, an affiliate of the Durham VA Health Care System (DVAHCS) is looking for a Biostatistician II to perform intermediate-level statistical analysis and programming for clinical research studies conducted by the Principal Investigator, Dr. Stephen Freedland, and his associates in his urology research lab. This includes statistical programming, statistical analysis, quality assurance of data, study feasibility assessments, and presentation of work in reports, manuscripts, posters, and presentations.
The Biostatistician will collaborate closely with a cross-functional project team comprised of physicians, scientists, and research personnel to advise on and execute statistical elements of each project. Studies include prospective observational research, clinical trials, tissue and serum-based studies, and retrospective population studies.
Collaborate and work effectively with research team members:
Collaborate effectively with programmers, statisticians, investigators, research staff, and external collaborators.
Represent the statistical team in project team meetings; make recommendations about study design and execution in relation to statistical analysis
Participate in conference calls, project meetings, weekly meetings with leadership, and other team meetings
Serve as a resource for other research staff.
Effectively manage and execute assignments:
Adhere to standard operating procedures (SOPs) as they apply to documentation and validation of clinical research statistics.
Manage project responsibilities with decreasing levels of supervision or regular support.
Take initiative to complete project-specific responsibilities with minimal supervision.
Demonstrate ability to multi-task and meet deadlines as appropriate.
Build documentation and organizational skills for reproducibility.
Statistical analysis planning, generation of results, and interpretation:
Participate in most statistical aspects of a medical research project.
Conduct power analyses/sample size calculations
Evaluate research studies and recommend statistical procedures to analyze the data.
Contribute meaningfully to discussions of analyses and identify next steps for analyses.
Write statistical analysis plans.
Perform quality assurance reviews of datasets before beginning analysis.
Learn new statistical methods, as needed, and apply new skills to future projects.
Perform intermediate and advanced statistical analyses, including but not limited survival analysis, linear regression, and generalized linear modeling.
Check results for accuracy and consistency.
Prepare comprehensive statistical reports to communicate findings with investigators.
Be able to work on any phase of a manuscript project, from initial meeting with an investigator to final review of a manuscript prior to submission for publication, with guidance.
Prepare statistical components of presentations, abstracts, study protocols, and manuscripts including methods and results sections.
Programming and data documentation:
Program analysis datasets using SAS, R, or STATA; combine multiple disparate raw databases and derive analysis variables accurately.
Design analysis data set specifications through writing own programming code.
Demonstrate good programming practices through proper documentation, commenting, and readability.
Perform complex programming using advanced options in SAS procedures and macros, and R functions with increasing efficiency.
Produce quality statistical output products including tables, listings, and figures.
Perform appropriate and adequate code checks to ensure accuracy of results
The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified.
Required Skills and Experience:
Requires an organized, task oriented, deadline-sensitive individual with a minimum of a master’s degree in (bio)statistics or a related field and no relevant experience. Candidates must have demonstrated statistical programming experience with SAS, R, and STATA. Prior experience with observational, survival, longitudinal, categorical, and generalized linear statistical models is strongly preferred.
Candidates must be able to work diplomatically and professionally with investigators, scientists, and lab personnel. Demonstrated professional initiative, teamwork abilities, strong interpersonal relationship skills, and good decision-making is expected. Excellent written and oral communication skills and experience with Microsoft Windows, Word, and Excel are required for this position. Understanding of HIPAA considerations is preferred.
Applicant must have the ability to work independently in a fast-paced environment, prioritize and manage the workflow of multiple projects. The physical requirements and activities that are required in order to perform the essential functions of the position include, but may not be limited to: must be able to sit for extended periods of time, and must be able to regularly use fingers and hands for computer work, lift up to 5 pounds, and have fluency in the English language.
The prior statements describe the general nature and level of work being performed. This is not intended to be an exhaustive list of all responsibilities and duties required. Employees may be directed to perform job-related tasks other than those specifically presented in this description.
Employees work for the Institute for Medical Research and will have an appointment at the Durham VAHCS. Please visit www.imr.org for information about employee benefits. Employees must undergo a Federal background check prior to hiring. We do not sponsor applicants for work visas. We are an equal-opportunity employer.
The salary range for this position is $65K-$75K. Salary will be commensurate with experience level.
Participation in the seasonal influenza and Coronavirus Disease 2019 (COVID-19) Vaccination programs are requirements for all Department of Veterans Affairs Health Care Workers Without Compensation (WOC).
Equal Opportunity Employer, including disabled persons and Veterans.