Postdoc in Single-Cell Genomics

Michigan State University
Biochemistry and Molecular Biology
United States MI East Lansing


We are looking for a talented and motivated individual to join our research team as a postdoctoral researcher to develop computational approaches for understanding gene regulation critical for establishing and maintaining distinct cell fates at the single-cell level.

The project is a collaboration between the laboratories of Professors David Arnosti, Jin He, Arjun Krishnan, and Amy Ralston at Michigan State University. The Arnosti (, He (, and Ralston ( labs use diverse animal models and human samples to understand dynamic regulation of gene expression at time-resolved, cellular level during development, stem cells, and disease. The Krishnan lab ( develops computational approaches to analyze large-scale data to unravel molecular mechanisms underlying complex traits. The postdoc will work with all four NIH-funded PIs, who offer complementary scientific expertise, and strong track records in mentoring and career development.

Project duties will include: 1) developing new computational approaches to analyze and integrate large collections of single-cell and bulk-tissue genomic data, 2) applying these approaches to study gene regulation in human and multiple model systems, and 3) communicating the methods and discoveries openly to the broader biomedical/clinical community. We expect the project to yield high impact manuscripts on which the postdoc will be lead contributor.

What will you get
- Guaranteed salary for one year, with the opportunity for renewal for an additional four years, contingent on successful progress.
- Access to high performance computational facilities.
- Freedom to work on your best ideas broadly aligned with the project’s vision.
- Opportunities to collaborate with other smart computational and experimental researchers at MSU & elsewhere.
- Resources to develop your own research program and support as you plan to move to the next stage of your career in academia or industry.
- Opportunities to mentor students, give class lectures, and participate in peer-review and grant-writing.
- A vibrant, supportive environment. Office in a fancy newly built space and quiet workspaces when needed; beautiful campus; low cost-of-living.

Mentoring & support: In addition to being your scientific mentors, our primary responsibility is to help your personal and professional growth by facilitating all of the above. You will always find in us an audience to discuss opportunities/challenges and a strong advocate for your interests.


- A PhD with a strong background in bioinformatics, computational biology, genetics, statistics, computer science, machine learning, or other closely related fields.
- Programming experience in Python, R, &/or C++ w/ version control (Git), and experience with high-performance cluster computing. Experience developing web applications (using Django/Shiny) is a plus.
- Good communication skills, willingness to collaborate openly, give/take constructive feedback, and, sustain a friendly and fun lab culture.

Start date

As soon as possible

How to Apply

If you have questions or want to chat about this position, please write to us.
To apply, respond to this job posting – – with:
1) a CV
2) a link to your Google Scholar page
3) a statement of your research interests (≤ 500 words), and
4) names & contact information for three references.


Arjun Krishnan