1

Postdoc Single Cell Rna Sequencing Analysis Jobs in Michigan

... sequencing, sample prep/ library prep for genomic analysis, PCR, qPCR and digital PCR. * Experience selling technologies for single cell sequencing, transcriptomics or proteogenomics highly desired.

Perform advanced bioinformatics analyses, including transcriptomic, single-cell, and spatial omics ... junior postdoctoral fellows, and research staff , fostering an inclusive, productive, and ...

next page

Showing results 1-20

Postdoc Single Cell Rna Sequencing Analysis information

What is the difference between Postdoc Single Cell Rna Sequencing Analysis vs Postdoc Bioinformatics?

AspectPostdoc Single Cell Rna Sequencing AnalysisPostdoc Bioinformatics
Required CredentialsPhD in Biology, Genetics, or related field; experience in sequencing data analysisPhD in Computer Science, Bioinformatics, or related field; programming skills essential
Work EnvironmentResearch labs focusing on genomics and cell biologyResearch institutions, biotech companies, or academic labs with computational focus
Employer & Industry UsageBiotech, academic research, pharmaceutical companiesBiotech, healthcare, academic research, industry R&D

Postdoc Single Cell Rna Sequencing Analysis specialists focus on analyzing single-cell transcriptomics data, often requiring biological expertise and lab experience. In contrast, Postdoc Bioinformatics roles emphasize computational skills and software development to interpret large datasets across various biological contexts. Both roles are vital in genomics research but differ in their primary focus and skill set.

What are the key skills and qualifications needed to thrive as a postdoc in single cell RNA sequencing analysis, and why are they important?

To thrive as a Postdoc in Single Cell RNA Sequencing Analysis, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by a PhD in a relevant field. Proficiency with computational tools such as R, Python, and specialized single-cell analysis platforms (e.g., Seurat, Scanpy), as well as experience with data visualization and next-generation sequencing, is essential. Strong problem-solving abilities, effective communication, and collaboration skills help distinguish top candidates in interdisciplinary research environments. These skills enable accurate data interpretation, drive innovation, and support impactful scientific discoveries in complex biological systems.

What are some common challenges faced by postdocs working in single cell RNA sequencing analysis, and how can they be addressed?

Postdocs in single cell RNA sequencing analysis often encounter challenges such as managing large and complex datasets, integrating multi-omic data, and staying current with rapidly evolving bioinformatics tools. Collaborating closely with wet lab scientists and computational biologists is essential to interpret results accurately and to troubleshoot technical issues. Building strong programming and statistical skills, as well as actively participating in lab meetings and seminars, can help address these challenges and contribute to both personal growth and successful project outcomes.

What does a postdoc in single cell RNA sequencing analysis do?

A Postdoc in Single Cell RNA Sequencing (scRNA-seq) Analysis specializes in analyzing gene expression data from individual cells. Their main responsibilities include processing raw sequencing data, performing quality control, identifying cell types or states, and interpreting biological insights from the data. They often develop or apply computational methods to handle large datasets, collaborate with experimental biologists, and present findings through publications or conferences. The ultimate goal is to understand cellular heterogeneity and uncover new biological mechanisms at the single-cell level.
What are popular job titles related to Postdoc Single Cell Rna Sequencing Analysis jobs in Michigan? For Postdoc Single Cell Rna Sequencing Analysis jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Postdoc Single Cell Rna Sequencing Analysis jobs in Michigan look for? The top searched job categories for Postdoc Single Cell Rna Sequencing Analysis jobs in Michigan are:
What cities in Michigan are hiring for Postdoc Single Cell Rna Sequencing Analysis jobs? Cities in Michigan with the most Postdoc Single Cell Rna Sequencing Analysis job openings:
Infographic showing various Postdoc Single Cell Rna Sequencing Analysis job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Bioinfo-Comput Biologist Sr (Term-Limited)

University of Michigan

Ann Arbor, MI • On-site

Part-time

Posted 4 days ago


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

158th of 617 rated colleges and universities


Job description

Responsibilities*
Scientific Leadership, Computational Biology, and Bioinformatics
Independently design, perform, and interpret advanced computational analyses supporting the laboratory's pediatric brain tumor research program. Develop and implement novel computational methods and bioinformatic tools to analyze single-cell and multiomic datasets generated from pediatric brain tumors and the tumor microenvironment (TME). Lead the analysis and biological interpretation of single-cell RNA sequencing (scRNA-seq) data and integrate genomic, transcriptomic, and clinical datasets to address complex biological questions. Mentor graduate students, postdoctoral fellows, and research personnel in computational analysis, experimental design, and interpretation of bioinformatic studies while providing scientific expertise in computational genomics and data analysis.
Computational Genomics, Epigenomic Analysis, and Translational Assay Development
Independently design, perform, supervise, and interpret advanced computational analyses of genomic and epigenomic datasets, including single-cell transcriptomic, chromatin accessibility (ATAC-seq), and chromatin immunoprecipitation sequencing (ChIP-seq) data generated from pediatric brain tumor specimens and experimental models. Develop, optimize, and maintain computational pipelines for multiomic data integration, statistical analysis, and biological interpretation. Assist in the development and validation of next-generation sequencing and droplet digital PCR (ddPCR) assays for cell-free tumor DNA (ctDNA) detection and contribute computational expertise to correlative genomic studies involving clinical biospecimens from institutional and multi-center clinical trials.
Grant, Manuscript, and Scientific Communication
Prepare significant portions of grant applications, progress reports, manuscripts, and scientific presentations related to computational biology, genomics, epigenomics, and pediatric neuro-oncology. Co-author peer-reviewed publications, generate computational analyses and publication-quality figures, and present research findings at institutional, national, and international scientific meetings. Collaborate with multidisciplinary investigators to translate computational discoveries into biological and clinical insights.
Personnel Supervision, Training, and Laboratory Operations
Provide functional supervision and scientific mentoring to graduate students, research personnel, and trainees engaged in computational biology and genomics research. Train laboratory members in bioinformatic workflows, reproducible computational practices, genomic data analysis, and best practices for computational reproducibility. Ensure adherence to institutional standards for data management, quality assurance, and regulatory compliance for genomic analyses involving human specimens.
Required Qualifications*
PhD in Bioinformatics, Computer Science or Engineering field
At least 10 years professional experience in positions primarily performing Computational Biology
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .
Additional Information
This is a one year term-limited appointment, with the possibility to extend based on the need and funding. If at the end of the term and your appointment is not renewed, your appointment will terminate, and will not be eligible for Reduction-in-Force (RIF) benefits. This term-limited appointment does not create a contract or guarantee of employment for any period of time as you will remain subject to disciplinary or other performance measures, up to and including termination, at the will of the University in accordance with existing University policy and standards for employee performance and conduct.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Detail
Job Opening ID
281228
Working Title
Bioinfo-Comput Biologist Sr (Term-Limited)
Job Title
Bioinfo-Comput Biologist Sr
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Hybrid
Full/Part Time
Part-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
Medical School
Department
MM Pediatrics-Hematology Oncol
Posting Begin/End Date
8/05/2026 - 9/04/2026
Career Interest
Research

What University Of Michigan employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


University of Michigan logo

About University of Michigan

Sourced by ZipRecruiter

The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

Social media