Computational Biologist – Translational Genomics & AI

CHEManager International; Detroit (MI); On-site; USD 100,000 - 160,000; Full time

Job summary

Henry Ford Health in Detroit invites applications for an Assistant Professor / Assistant Scientist with expertise in computational biology, statistical genetics, genomics, and AI-driven medicine.

The successful candidate will develop state-of-the-art computational methods for large-scale biological datasets and hold a joint faculty appointment with Michigan State University as part of HFH-MSU Health Sciences partnership.

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.
• Demonstrated ability or strong potential to secure external research funding.
• Proficiency in programming and analytical languages/platforms (R, Python, TensorFlow, PyTorch).
• Experience in Unix/Linux environments, including shell scripting (Bash, awk, sed).
• Familiarity with genomic, epigenomic, transcriptomic, and proteomic analysis tools and NGS 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.

Responsibilities

• Develop and apply computational, statistical, and AI/ML approaches to analyze diverse biological 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.

Skills

Computational biology

Statistical genetics

Genomics

AI/ML

Programming (R/Python)

Unix/Linux

Shell scripting

Data analysis

Education

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

Tools

TensorFlow

PyTorch

R

Python

Bash

DNA-seq pipelines

RNA-seq pipelines

ChIP-seq

Job description

Henry Ford Health in Detroit invites applications for an Assistant Professor / Assistant Scientist with expertise in computational biology, statistical genetics, genomics, and AI-driven medicine.

The successful candidate will develop state-of-the-art computational methods for large-scale biological datasets and hold a joint faculty appointment with Michigan State University as part of HFH-MSU Health Sciences partnership.