Statistical Geneticist

Location : REMOTE

Weekly Hours FT: 3040 hours per week Total No. of Hours : 40

Overall Position Summary and Objectives

We are seeking an experienced statistical geneticist with expertise in epigenetic data analysis. Working in collaboration with Drs. Rick Woychick Trevor Archer and Alison MotsingerReif 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 implements statistical methodologies for analyzing largescale 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

Min Education Masters

Resume Max Pages 3

Certifications & Licenses

• The ideal candidate will have a Ph.D. in statistical genetics biostatistics bioinformatics computational biology or a related field with a strong emphasis on statistical analysis of epigenetic data. They will need proven experience in applying statistical methods to largescale genetic and epigenetic datasets including DNA methylation histone modifications or chromatin accessibility.

Skills (Ranked By Priority)

1. They will need proven experience in applying statistical methods to largescale genetic and epigenetic datasets including DNA methylation histone modifications or chromatin accessibility. They should be 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).

1 2 3 4 5 represents priority rankings where 1 is highest priority and 5 is lowest priority of those ranked

Software

• R/Python and Plink with other command line genetic tools.

Field of Study

• Genetics
• Statistics and Decision Science

Statement of Work Details

Assists in performing a variety of data management and analytical tasks and organizing complex largescale datasets.

• 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 modelling/prediction.

Utilizes statistical software packages to manage maintain and analyze large complex statistical datasets.

• Applies a variety of data reduction techniques.
• Design and implement statistical methodologies for analyzing largescale 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 crossfunctional 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 epigenomewide association studies(EWAS) pathway analysis and integrative analysis of genetic and epigenetic data.
• Interpret and communicate statistical results to both technical and nontechnical stakeholders including presenting findings in scientific publications conferences and internal meetings. 5
• Stay uptodate 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 inhouse 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.

Documents analyses performed and prepares progress reports summarizing results.

• Write statistical sections in manuscripts; work with research staff to interpret referees comments on manuscripts.

Performs a variety of data management and analytical tasks and organizing complex largescale datasets.

• 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 modelling/prediction.

Conducts statistical analyses on completed and ongoing studies utilizing a wide range of standard and nonstandard statistical software packages for all projects.

• Write code to execute data analysis visualize and provide interpretation and context to results of analysis.

Reviews and summarizes relevant literature and other sources to develop analytical plans.

• Consult with staff on the application of statistical methods to address the key study scientific aims of the study.

Learns and applies new statistical methods and software packages and provides consultation and training to other analysts and staff.

• Research and analyze new developments in biostatistical methods and applications.