Lead Biostatistician

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Description

The School of Nursing is in search of a Lead Biostatistician. We are seeking a skilled and collaborative biostatistician to consult and collaborate with students, faculty and staff on research studies and support the educational mission of the School of Nursing. This role sits at the intersection of data management, analytics, and research operations, ensuring high-quality statistical analysis and reporting across the full research lifecycle.The ideal candidate will have strong experience with research data systems (e.g., REDCap or similar electronic data capture (EDC) platforms), healthcare databases, a solid foundation in data analytics and programming, multiple statistical software packages, and the ability to develop appropriate statistical analysis approaches for study research aims and goals.

KEY RESPONSIBILITIES:

• The lead biostatistician must have demonstrated the ability to independently and successfully consult and collaborate on short-term and long-term clinical research studies and demonstrate the skills necessary to serve as key personnel on sponsored research (i.e., serve as a Co-Investigator on a NIH grant).
• Thrives in a team science environment.
• Substantive input into the overall organization and presentation of clinical manuscripts (prepare first draft of the Results section, write statistical methods section, address reviewer issues about the analysis).
• Active participation in grant preparation on design and approach plus protocol development and study implementation after funding is an expectation.
• Reviews and helps prepare statistical and database management sections of NIH grant applications and other externally supported proposals.
• Provides input to standard operating procedures development and review and helps ensures good clinical practice guidelines are followed.
• Analyzes data using extensive knowledge of statistical software (SAS, R).
• Administrative roles include recruiting, training, supervising, evaluating and retaining masters level staff.
• Mentor or teach one-on-one, and provide ad hoc training and targeted lectures as required to build a collaborative program.
• Acts as a lead statistician for clinical research projects; participates in protocol team conference calls and meetings.
• Assist clinical investigators in designing studies, writing grant proposals, managing data, conducting statistical analyses, and writing manuscripts.
• Participates in study design and sample size considerations, designs and reviews Case Report Forms, develops and reviews randomization plans, and writes statistical analysis plans (SAP).
• Monitors data collection, institutes procedures to assure data quality and helps guarantee study protocols are followed appropriately.
• Trains and mentors junior staff statisticians.
• Supervises the work of graduate research assistants.
• Trains clinical personnel on data collection issues in clinical studies.
• Takes an active role in drafting the Manual of Procedures for prospective clinical studies.
• Administrative roles include recruiting, training, supervising, evaluating and retaining masters level statisticians.

PREFERRED COMPETENCIES:

• Experience in statistical consulting (preference for in an academic setting).
• Proficiency in R and SPSS, with some experience in STATA and SAS if possible.
• Experience in developing statistical analysis plans and sample size calculations.
• Experience in regression, clustered, and longitudinal data analysis.
• Experience in analysis of data generated by validated instruments or complex survey sampling.
• Experience writing the methods and results sections of manuscripts.
• Experience preparing tables, figures and associated graphics for manuscripts, abstracts and posters.
• Experience with cluster computing a plus.

MINIMUM QUALIFICATIONS:

• A master's degree in statistics, biostatistics, computer science, or a related field and 8 years of experience as a biostatistician, preferably in an academic setting, OR an equivalent combination of education, training, and/or experience.
• Proficiency in modern high level statistical languages such as R or SAS or Python.
• Database management experience preferred.
• Excellent organizational skills.
• Excellent oral and written communication skills.

NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.

Additional Details

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD). Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at [email protected] or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.