Computational Genomics Scientist II Environmental Data

Michigan Technological University; Houghton (MI); On-site; USD 110,000 - 140,000; Full time

Job summary

Michigan Technological University’s Great Lakes Research Center seeks a Research Scientist II/III to lead computational genomics projects, develop novel methods, and analyze environmental data. You will build collaborations across campus and advance research that informs health, economy, and sustainability.

The role emphasizes developing reproducible bioinformatics pipelines, securing external funding, and presenting results to sponsors while growing a funded program and mentoring teammates.

Qualifications

• Ph.D. in bioinformatics, computational biology, biological sciences, or a related field.
• Experience developing reproducible bioinformatics analysis pipelines for environmental data.
• Strong record of scholarly productivity including peer‑reviewed work.
• Excellent communication and collaboration across multidisciplinary teams.

Responsibilities

• Evaluate and apply bioinformatics approaches to environmental data.
• Contribute technical expertise as project lead and team member.
• Grow a funded research program to self‑supporting status.
• Prepare reports or presentations for project sponsors.
• Lead and contribute to proposals and external funding efforts.
• Apply safety related knowledge to daily work and research security to data and facilities.
• Engage in continuous improvement initiatives across the university.

Skills

Python

R

DADA2

Samtools

GATK

Bayesian models

Education

Ph.D. in bioinformatics/computational biology/biological sciences or related field

Tools

DADA2

Samtools

GATK

Job description

Michigan Technological University’s Great Lakes Research Center seeks a Research Scientist II/III to lead computational genomics projects, develop novel methods, and analyze environmental data. You will build collaborations across campus and advance research that informs health, economy, and sustainability.

The role emphasizes developing reproducible bioinformatics pipelines, securing external funding, and presenting results to sponsors while growing a funded program and mentoring teammates.