Biostatistician Data Manager

Position Objective: Provide services as a Biostatistician Data Manager in support of the overall functions of National Institute on Aging within the National Institutes of Health (NIH). The contractor will independently provide expert biostatistical support to the Brain Health Equity (BHE) Unit within the Health Disparities Research Section (HDRS) at the National Institute on Aging (NIA). The primary objective is to assist in the statistical design, analysis, and interpretation of data from community-based cohort studies and other research projects led by Dr. Indira Turney, the Principal Investigator.

Duties and Responsibilities:

• Provide biostatistical expertise for the research study.
• Enter and verify data fields and data dictionaries.
• Write statistical sections in manuscripts; work with research staff to interpret referees’ comments on manuscripts.
• Analyze, interpret, communicate and document epidemiologic data and results.
• Write code to execute data analysis, visualize and provide interpretation and context to results of analysis.
• Perform descriptive and missing data analysis.
• Perform data cleaning (identifying and correcting data entry errors and/or missing values) and data transformation (creating and categorizing variables and imputing data).
• Lead the development of study protocols and statistical analysis plans with a strong focus on hypothesis testing and relevant analytical frameworks 1
• Perform complex statistical analyses (e.g., multilevel models, mediation, longitudinal, causal inference) using R, SPSS, and other relevant software to answer cutting-edge research questions from data collected from diverse community-based cohort studies. 2
• Conduct hypothesis testing and design statistical approaches tailored to the research aims of the study 3
• Prepare clear and concise statistical reports that translate complex findings for diverse audiences.
• Consult with staff on the application of statistical methods to address the key study scientific aims of the study.
• Provide literature review related to analyses used in comparable studies.
• Integrate data from multiple sources into SAS data sets.
• Research and analyze new developments in biostatistical methods and applications. 4
• Collaborate with investigators to design studies, identifying appropriate and advanced statistical methods.
• Advise research teams on optimal data collection and analysis methods, ensuring robust study design and reliable interpretation of results.
• Provide statistical leadership to research staff and junior team members: training on advanced techniques and best practices for data management and analysis. 5
• Study Design and Protocol Documentation: Work products related to the design of research studies, development of statistical analysis plans, and study protocols. - Ad-Hoc
• Advanced Data Analysis Reports: Perform complex statistical analyses (e.g., multilevel models, mediation, longitudinal, causal inference) using R, SPSS, and other relevant software to answer cutting-edge research questions from data collected from diverse community-based cohort studies.
• Prepare clear and concise statistical reports that translate complex findings for diverse audiences.
• Daily Data Management Documentation: A detailed codebook, SOPs, and documentation of management practices, including data audits, cleaning, and coding processes - Ad-Hoc
• Compliance and Quality Assurance Reports: Documentation ensuring compliance with Institutional Review Board (IRB) requirements and quality control processes for data integrity and security. - Ad-Hoc
• Data Sharing Oversight: Ensure that data is shared only with investigators who have approved project proposals and are employed by institutions with active data-sharing agreements. Provide documentation verifying that data distribution adheres to these protocols. - Ad-Hoc
• Project Proposal Review: Provide assessments to the Principal Investigator regarding the originality of proposed research, recommending alterations in project proposals to avoid duplication of work or efforts within ongoing studies. -
• Research Publication Support: Lead statistical contributions to research manuscripts, including being the lead author for manuscripts that align with BHE’s mission.
• Assist in grant writing, summarizing statistical methods clearly and persuasively for diverse stakeholders.
• Collaborate on research papers and grant proposals, summarizing complex statistical methods and results clearly and concisely.
• WeeklyTraining Materials: Develop materials for training junior staff or collaborators on statistical methods, data analysis software, and proper data management protocols. - Weekly

Basic Qualifications:

• PhD or a Master’s Degree in Biostatistics, Epidemiology, or a related field with a strong background in applying advanced statistical methods to epidemiological data.
• A Bachelor's degree with extensive specialized experience may be considered.
• Skilled in statistical software such as R, Mplus, SPSS, and other statistical computing software.
• Extensive experience in the application of statistical methods to public health, epidemiology, or clinical research, particularly within the context of community-based cohort studies, and the ability to design and lead complex analyses independently.
• Proficiency in advanced statistical methods such as mediation models, multilevel analysis, causal inference, or longitudinal analysis, with hands-on experience using R, Mplus, SPSS, or equivalent software.
• Experience leading statistical contributions to publications, with a demonstrated ability to serve as lead author for manuscripts aligning with BHE’s mission and research focus. - Commitment to long-term engagement, with a history of holding positions for extended periods, reflecting stability and dedication to ongoing research projects.

Minimum Qualifications:

• Ability to multi-task and pay close attention to detail.
• Strong analytical and problem-solving skills, with the ability to independently design and implement statistical analyses for complex datasets.
• Excellent communication skills, with the ability to clearly explain statistical concepts and results to non-statistical audiences.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job us at recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.

GAP Solutions is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristics.

This position is contingent upon contract award.