Assistant Scientist Assistant Professor Computational Biology

Henry Ford Health; Detroit (MI); On-site; USD 90,000 - 130,000; Full time

Job summary

Henry Ford Health in Detroit, MI seeks an Assistant Professor / Assistant Scientist with expertise in computational biology, genomics, and AI-driven medicine. The role focuses on developing state-of-the-art computational methods for large-scale biological data and leading independent translational research with a HFH–MSU partnership.

The candidate will pursue external funding, mentor trainees, and collaborate across HFH and MSU researchers in a dynamic, interdisciplinary environment.

Qualifications

• PhD in biostatistics, bioinformatics, computational biology, computer science, or related field.
• Strong publications and conference presentations in genetics or AI applications to biology.
• Ability or potential to secure external research funding.
• Proficiency in R, Python, TensorFlow, PyTorch.
• Experience with Unix/Linux and shell scripting.
• Familiarity with genomics, epigenomics, transcriptomics, and proteomics tools.
• Experience with single-cell/spatial transcriptomics and multimodal data.
• Experience in human subjects research, healthcare data, or biomedical applications.
• Excellent communication and collaboration skills.

Responsibilities

• Develop and apply computational, statistical, and AI/ML methods to large, multi-omics datasets.
• Lead independent research projects and collaborative team science initiatives.
• Secure external funding (NIH/NSF/foundations) to support programs.
• Mentor trainees and collaborate with HFH and MSU investigators.

Skills

Excellent communication

Interpersonal skills

Collaborative work

Education

PhD in biostatistics, bioinformatics, computational biology, CS, or related field

Tools

R

Python

TensorFlow

PyTorch

Unix/Linux

Bash/Sed/Awk

Genomics pipelines

Single-cell & spatial transcriptomics

Job description

Job Description

Henry Ford Health (HFH) in Detroit, Michigan, is one of the nation’s leading comprehensive health systems, recognized for excellence in clinical care, research, and education. The Center for Cutaneous Biology and Immunology (CCBI) is a dynamic, multidisciplinary research program dedicated to advancing our understanding of skin biology and immunology, cancer immunology, and the functional genomics that govern immune cell behavior in cancer as well as autoimmune and inflammatory diseases. Our team fosters an innovative, collaborative, diverse, and open-minded research environment in partnership with Michigan State University. We are supported by multiple NIH-funded grants and active communities of immunologists, molecular biologists, biochemists, data scientists, physician scientists, and computational biologists. Our mission is to advance translational research that leads to meaningful improvements in clinical care.

Position Description

We invite applications for an Assistant Professor / Assistant Scientist with expertise in computational biology , statistical genetics , genomics , and AI-driven medicine. We seek a highly motivated individual who develops and applies state-of-the-art computational methods to complex, large-scale biological datasets. The successful candidate will contribute to high-impact translational research programs and lead independent research efforts, and will hold a joint faculty appointment ( Assistant Scientist) with Michigan State University as part of the HFH–MSU Health Sciences partnership.

Key Responsibilities

• Develop and apply computational, statistical, and AI/ML approaches to analyze diverse biological datasets, including:
  • GWAS, whole-genome/exome sequencing
  • DNA methylation and epigenomic profiling
  • Bulk and single-cell RNA-seq, spatial transcriptomics
  • ATAC-seq (bulk and single-cell), proteomics, CyTOF, and IMC
  • Histological and radiological imaging data
  • Clinical and epidemiological datasets
• Lead independent research projects and contribute to collaborative team science initiatives.
• Pursue external funding (e.g., NIH, NSF, foundations) to support research programs.
• Mentor trainees and collaborate closely with investigators across HFH and Michigan State University.

Qualifications:
Qualifications

Required Qualifications

• PhD in biostatistics, bioinformatics, computational biology, computer science, or a related discipline.

• Strong research track record in genetics, multi-omics integration, and/or AI applications to biological or clinical data, as demonstrated by peer-reviewed publications and conference presentations.

• Demonstrated ability—or strong potential—to secure external research funding.

• Proficiency in programming and analytical languages/platforms (e.g., R, Python, TensorFlow, PyTorch).

• Experience working in Unix/Linux environments, including shell scripting (Bash, awk, sed).

• Familiarity with tools for genomic, epigenomic, transcriptomic, and proteomic analysis, including next-generation sequencing pipelines (DNA-seq, RNA-seq, ATAC-seq, ChIP-seq).

• Experience with single-cell and spatial transcriptomics, eQTL/pQTL analysis, and multimodal data integration.

• Familiarity with imaging analytics (e.g., spatial transcriptomics, H&E, IMC, radiological imaging).

• Experience in human subjects research, healthcare data, epidemiology, or biomedical applications.

• Excellent communication, interpersonal, organizational, and collaborative skills, with the ability to work effectively with colleagues of diverse technical and scientific backgrounds.