Statistical Geneticist

Provide services as a Statistical Geneticist in support of the overall functions of the National Institute of Environmental Health Sciences (NIEHS) within the National Institutes of Health (NIH). We are seeking an experienced statistical geneticist with expertise in epigenetic data analysis. Working in collaboration with Drs. Rick Woychick, Trevor Archer and Alison Motsinger-Reif, they will play a crucial role in advancing our understanding of the complex interplay between genetics, epigenetics, and the environment and its impact on human health and disease. Responsibilities include: Design implement statistical methodologies for analyzing large-scale epigenetic datasets, including DNA methylation, histone modifications, and chromatin accessibility; Develop apply advanced statistical models and algorithms to identify epigenetic marks associated with specific genetic traits, diseases, or environmental exposures.

Duties and Responsibilities:

• Provide biostatistical expertise for the research study.
• Analyze, interpret, communicate and document epidemiologic data and results.
• Provide analytic results using standard statistical procedures, including descriptive statistics, rate standardization, stratification of data and model building (logistic regression, conditional logistic regression, Cox regression) using SAS, Stata, Epicure, and similar statistical software programs.
• Collaborate and work with a team of researchers to develop, iterate and execute innovative strategies for genomic data integration and modeling/prediction.
• Applies a variety of data reduction techniques.
• Design and implement statistical methodologies for analyzing large-scale epigenetic datasets, including DNA methylation, histone modifications, and chromatin accessibility. 1
• Develop and apply advanced statistical models and algorithms to identify epigenetic marks associated with specific genetic traits, diseases, or environmental exposures. 2
• Collaborate with cross-functional teams to design and execute epigenetic research studies, providing statistical guidance and expertise throughout the research process. 3
• Perform data preprocessing, QC, and normalization of data, ensuring accuracy and reliability for downstream analysis.
• Conduct statistical analyses, including but not limited to differential methylation analysis, epigenome-wide association studies (EWAS), pathway analysis, and integrative analysis of genetic and epigenetic data.
• Interpret and communicate statistical results to both technical and non-technical stakeholders, including presenting findings in scientific publications, conferences, and internal meetings. 5
• Stay up-to-date with the latest advancements in statistical epigenetics, genomics methodologies, and data analysis techniques, and integrate them into the research and development process. 4
• Collaborate with bioinformatics teams to integrate genetic, epigenetic, and genomic data into computational pipelines and develop efficient workflows for analysis.
• Contribute to the development and maintenance of in-house statistical epigenetics software tools and resources.
• Mentor and provide guidance to junior researchers and data analysts, fostering a collaborative and intellectually stimulating environment.
• Provide project management for the large interdisciplinary project team.
• Write statistical sections in manuscripts; work with research staff to interpret referees’ comments on manuscripts.
• Provide biostatistical expertise for the research study.
• Analyze, interpret, communicate and document epidemiologic data and results.
• Provide analytic results using standard statistical procedures, including descriptive statistics, rate standardization, stratification of data and model building (logistic regression, conditional logistic regression, Cox regression) using SAS, Stata, Epicure, and similar statistical software programs.
• Collaborate and work with a team of researchers to develop, iterate and execute innovative strategies for genomic data integration and modeling/prediction.
• Write code to execute data analysis, visualize and provide interpretation and context to results of analysis.
• Consult with staff on the application of statistical methods to address the key study scientific aims of the study.
• Research and analyze new developments in biostatistical methods and applications.
• Run Validation - Ad-Hoc
• Meet with lab members to present updates - Ad-Hoc

Basic Qualifications:

• Ph.D. in statistical genetics, biostatistics, bioinformatics, computational biology, or a related field with a strong emphasis on statistical analysis of epigenetic data.
• Must have proven experience in applying statistical methods to large-scale genetic and epigenetic datasets, including DNA methylation, histone modifications, or chromatin accessibility.
• Proficient in programming languages such as R and/or Python, as well as experience with relevant statistical analysis packages (e.g., Bioconductor, PLINK, ChAMP, or similar).

Minimum Qualifications:

• Ability to multi-task and pay close attention to detail.
• Excellent analytical, organizational and time management skills.
• Strong communication skills, both oral and written.

• 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.