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Single Cell Omics Jobs (NOW HIRING)

AA2IT

Bioinformatics Scientist - II

Cambridge, MA · On-site

$75/hr

Experience: * 5+ years of hands-on experience in multi-omics data analysis and integration. * Proven work with RNA-Seq, single-cell RNA-Seq, genotype data, spatial transcriptomics, and proteomics (e ...

University of Colorado

Post-Doctoral Fellow

Aurora, CO · On-site

$49K - $67K/yr

... single-cell -omics experiments, in situ studies, and cell culture work * Analyzing sequencing data including long read DNA sequencing, bulk RNA-seq, and single-nucleus RNA/ATAC using R, python ...

AA2IT

Bioinformatics Scientist - II

Cambridge, MA · On-site

$75/hr

Experience: * 5+ years of hands-on experience in multi-omics data analysis and integration. * Proven work with RNA-Seq, single-cell RNA-Seq, genotype data, spatial transcriptomics, and proteomics (e ...

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How much do single cell omics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for single cell omics in the United States is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

What is single cell omics?

Single Cell Omics refers to a group of advanced techniques used to analyze the molecular characteristics of individual cells, rather than averaging data across entire cell populations. These methods include single-cell genomics, transcriptomics, proteomics, and metabolomics, allowing researchers to study genetic, RNA, protein, and metabolic profiles at the single-cell level. This approach helps uncover cellular heterogeneity, understand complex biological processes, and can lead to discoveries in areas like cancer research, developmental biology, and personalized medicine.

What are the key skills and qualifications needed to thrive as a single cell omics scientist, and why are they important?

To thrive as a Single Cell Omics Scientist, a strong background in molecular biology, genomics, and bioinformatics is essential, typically supported by a PhD or advanced degree in a relevant field. Expertise in single-cell sequencing technologies, computational analysis tools like Seurat or Scanpy, and familiarity with next-generation sequencing platforms are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help professionals collaborate across multidisciplinary teams and present complex data. These skills and qualities are crucial for generating high-quality data, driving scientific discoveries, and translating findings into impactful biological insights.

What is the difference between Single Cell Omics vs Bioinformatics Analyst?

AspectSingle Cell OmicsBioinformatics Analyst
Required CredentialsMaster's or PhD in Biology, Genomics, or related fieldsBachelor's or Master's in Bioinformatics, Computer Science, or related fields
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch institutions, biotech firms, healthcare organizations
Industry UsageGenomics, personalized medicine, developmental biologyData analysis, software development, research support

Single Cell Omics specialists focus on analyzing individual cell data to understand cellular heterogeneity, often requiring advanced laboratory skills and genomics expertise. Bioinformatics Analysts interpret large datasets, including genomic data, using computational tools. While both roles involve data analysis, Single Cell Omics is more lab-intensive and specialized in single-cell techniques, whereas Bioinformatics Analysts work across various data types and applications.

What are common challenges faced when working in single cell omics research roles?

Professionals in Single Cell Omics often encounter challenges related to handling and interpreting large, complex datasets generated from individual cells. Maintaining sample quality and minimizing technical variability are crucial for reliable results. Additionally, integrating data across different omics platforms (such as genomics, transcriptomics, and proteomics) requires strong collaboration with bioinformaticians and other specialists. Staying updated with rapidly evolving technologies and analytical methods is also key to success in this field.
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Single Cell Omics jobs near you
Infographic showing various Single Cell Omics job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 77% Full Time, 17% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $45,021 per year, or $21.6 per hour.

Tenure-Track Faculty Positions in Single Cell Spatial Analyses at University of Michigan (2022)

Michigan Medicine

Ann Arbor, MI • On-site

Full-time

Re-posted yesterday

Michigan Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

257th of 1,059 rated hospitals

Job description

Description
The Single Cell Spatial Analysis Program (SCSAP), as part of the $150 million, campus-wide Biosciences Initiative at the University of Michigan, is soliciting applications for tenure-track faculty positions (all ranks). The SCSAP is a highly integrative program that provides an intellectual foundation and research resources to enhance single-cell and spatial analyses to the University of Michigan community. For more information, see https://singlecellspatialanalysis.umich.edu.
Primary departmental and school affiliation(s) will be determined by the applicant's research area and existing programs. We welcome applications for any area of spatial biology, including but not limited to: new technologies for high-content spatial analyses using sequencing- and/or imaging-based approaches, bioimaging informatics and computational algorithms for integrated spatial 'omics analyses, or applications of innovative approaches to addressing basic or applied biomedical and/or public health challenges. Successful candidates will become integral members and future leaders in the Single Cell Spatial Analysis Program.
Qualifications
The candidate is expected to have a doctoral degree (PhD and/or MD) in a relevant scientific, medical, or engineering discipline; a strong commitment to teaching excellence and mentorship; the ability to work collaboratively across disciplines; and a commitment to diversity, equity, and inclusion (DEI) in higher education.
Qualifications include a clear track record in the field of spatial analysis, an outstanding record of contributions to the field commensurate with rank, and evidence or strong potential of obtaining independent funding.
Application Instructions
A complete application should include:
1. Cover letter
2. Curriculum vitae
3. Statement of research experience and future plans (up to 3 pages)
4. Statement of teaching philosophy and experience (1 page)
5. Statement of DEI philosophy and experience (1 page)
6. Three reference letters (or contact information for the letter writers).
Apply at http://apply.interfolio.com/112835. For questions, please contact Dr. Jun Li (junzli@med.umich.edu) or Dr. Justin Colacino (colacino@umich.edu).
Review of applications will begin in early October and will continue until suitable candidates are identified. Those received by late November 2022 will be given priority consideration.
The University of Michigan is an Equal Opportunity/Affirmative Action Employer that is also responsive to the needs of dual career couples. Women, minority, and underrepresented candidates are particularly encouraged to apply. This search will be conducted in a manner consistent with the University of Michigan's campus-wide Diversity, Equity & Inclusion Planning Initiative. For more information, see https://diversity.umich.edu/about/.

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