Purdue University
Senior Data Analyst: Epigenetics (Indianapolis)
🇺🇸
Hybrid - Indianapolis, IN
🕑
Full-Time
💰
TBD
💻
Data Science
🗓️
April 26th, 2026
Edtech.com's Summary
Dunn Lab at Purdue University is hiring a Senior Data Analyst to lead computational genetic and epigenetic analyses. The role involves managing data and statistical analysis, mentoring lab members, and collaborating on research focused on identifying risk factors for mental illness, particularly depression.
Highlights
- Lead data management and regression-based analysis of epidemiologic and epigenetic data.
- Develop data analytic plans and computational pipelines, and maintain standard operating procedures on a high-powered computing cluster.
- Collaborate on grant applications, manuscripts, and presentations, and present results using tables and figures.
- Mentor post-doctoral fellows and lab members in R programming and data validation.
- Required skills include proficiency in R (tidyverse, mice, ggplot), omics data analysis, and experience with cluster computing and longitudinal biological/epidemiological modeling.
- Must have a Bachelor's degree and four years of data analysis experience; MA/MS preferred.
- Experience with data cleaning, management of metadata, and working with longitudinal omics-related data.
- Knowledge of clinical database management systems such as Redcap is beneficial.
- Purdue University does not sponsor employment authorization; position is exempt from overtime.
- Role supports research aimed at understanding and preventing mental illness, particularly depression, through analysis of large birth cohort studies.
Senior Data Analyst: Epigenetics (Indianapolis) Full Description
Job Summary
Are you looking to be part of something big? Radical innovations begin with small, impactful steps. Take your next step with the Dunn Lab, the distinguished team of Dr. Erin C. Dunn, as we prepare for our next giant leap: discovering the causes of mental illness and creating roadmaps for prevention. Learn more about the Dunn Lab and Purdue University in Indianapolis.
The Senior Data Analyst will be responsible for projects focusing on computational genetic and epigenetic analyses working on a multi-disciplinary team under the direct supervision of principal investigator Dr. Dunn. The Senior Data Analyst will work with multiple types of data, especially longitudinal survey and biological data from large birth cohort studies. A successful candidate will have experience in working with post-doctoral fellows in a mentoring capacity to drive computational analyses.
The successful candidate will be able to contribute to innovative projects to identify risk and protective factors linked to depression. Our overarching goal is to identify possible sensitive periods in development, or life stages when the brain is highly plastic and experience, including stress exposure, can impart more enduring effects on risk for depression.
Responsibilities Include:
- Responsible for data management and statistical analysis for new and ongoing studies, including but not limited to developing and applying regression-based analyses of epidemiologic and epigenetic data.
- Guide other lab members in designing data analytic plans and computational pipelines.
- Maintains standard operating procedures for data management on a high-powered computing cluster.
- Collaborate on the preparation of grant applications, manuscripts, and presentations.
- Present analyses and results to collaborators and in academic papers using tables and figures.
- Leads R code reviews and data validation efforts
- Mentors and troubleshoots other lab members in coding (in R programming language)
This position is located in Indianapolis at the Purdue University in Indianapolis location. Hybrid options may be available.
What We're Looking For:
Education and Experience:
- Bachelor’s Degree.
- Four years of data analysis experience.
- Strong knowledge of R (e.g., tidyverse, mice, ggplot) and omics data analysis pipelines.
- Prior experience in academic research including cluster computing, longitudinal studies, biological/epidemiological modeling,
Preferred:
- MA/MS.
Skills Needed:
- Understanding of data management
- Ability to clean data, including derived variable and metadata creation and management.
- Experience working with longitudinal omics-related data.
- Ability to create detailed data analysis plans and pipelines.
- Proven ability to learn new computational and statistical techniques.
- Excellent written and verbal communications skills.
- Ability to handle multiple projects simultaneously.
- Ability to work independently and as part of a team.
- Ability to interpret acceptability of data.
- High degree of computer literacy.
- Careful attention to detail.
- Good organizational skills.
- Ability to identify problems and develop solutions.
- Ability to create presentation-ready tables and figures.
- Advanced knowledge of statistical and epidemiological study design.
- Understanding of Redcap or other clinical database management systems
Additional Information:
- For full consideration, please include a cover letter and resume with your application materials.
- Purdue University will not sponsor employment authorization for this position
- A background check will be required for employment in this position
- FLSA: Exempt (Not Eligible for Overtime)
- Retirement Eligibility: Defined Contribution Waiting Period
Purdue University is an EO/EA University.
Career Stream
Professional 3
Pay Band S070
Job Code #20002211
Job Code #20002211
Similar Jobs
Director of Data Analytics and Program Assessment
Purdue University
🇺🇸 West Lafayette, IN
Business Intelligence Analysts
University of Utah
🇺🇸 Remote - US
Senior Data Scientist
Loyola University Chicago
🇺🇸 Hybrid - Chicago, IL
Quality Data Analyst
Rutgers University
🇺🇸 New Brunswick, NJ
Business Intelligence Specialist 4 - Decision Support - FT Days
University of California - Irvine
🇺🇸 Remote - CA
