Senior Clinical Data Engineer & Microbiome Analytics

Michigan Medicine; Ann Arbor (MI); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Excellent medical, dental, and vision

2:1 retirement match

Job summary

Michigan Medicine seeks a research data engineer/analyst to support clinical and microbiome research, building validated datasets and reproducible SQL and R/Python workflows. The role collaborates closely with investigators in infectious diseases and pulmonary/critical care, with training in 16S methods provided.

Seniority depends on qualifications, with hybrid/remote work options under the department’s discretion.

Qualifications

• Bachelor’s degree in computer science, data science, biomedical informatics, statistics, engineering, or related quantitative field.
• Proficiency in SQL with multi-table joins and data validation.
• Proficiency in R or Python and willingness to work in the lab’s workflows.
• Experience building and documenting datasets or analysis code using version control.
• Ability to explain technical issues to clinical collaborators and handle sensitive data.

Responsibilities

• Clinical data engineering: build and maintain UW/MRDW workflows; link patient encounters, medications, labs, and outcomes into datasets.
• Clinical research analysis: conduct descriptive and regression analyses in R or Python; prepare figures/tables.
• Microbiome analysis: learn 16S workflow; process sequencing data and integrate with clinical datasets.
• Documentation and collaboration: maintain version-controlled code and data dictionaries; communicate progress.

Skills

SQL proficiency

Python/R

Dataset/workflow versioning

Communication with clinicians

Willingness to learn microbiome

Education

Bachelor's degree in a quantitative field

Tools

UM Research Data Warehouse

DataDirect

Epic data

Unix/Linux

Job description

Michigan Medicine seeks a research data engineer/analyst to support clinical and microbiome research, building validated datasets and reproducible SQL and R/Python workflows. The role collaborates closely with investigators in infectious diseases and pulmonary/critical care, with training in 16S methods provided.

Seniority depends on qualifications, with hybrid/remote work options under the department’s discretion.