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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.

Post Doc - Open Rank

University of Massachusetts Medical School

Worcester, MA • On-site

$62K - $75K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Job description

Additional Information
Postdoctoral Fellow - CRISPR Functional Genomics, Stem Cell-Derived Islets, and Immune Engineering
The Maehr Lab at UMass Chan Medical School invites applications for an NIH-funded postdoctoral fellow position focused on functional genomics-driven engineering of stem cell-derived islets for immune tolerance.
Our laboratory combines human pluripotent stem cell differentiation, CRISPR-based (epi-)genome engineering, single-cell multi-omics, immunology, and computational biology to identify mechanisms that protect stem cell-derived islets from autoimmune and allogeneic immune responses while preserving beta-cell identity and function.
Position Overview
The successful candidate will lead efforts using CRISPR genome engineering and functional genomics screens to identify regulatory programs and its underlying factors that improve the survival, function, and immune compatibility of stem cell-derived islets. The fellow will work closely with experimental and computational scientists to connect regulatory regions of the genome through genetic perturbations and engineering with cellular phenotypes, molecular mechanisms, and immune outcomes.
The position offers substantial scientific independence and access to institutional expertise in stem cell differentiation, genome engineering, single-cell genomics, immunology, and bioinformatics. It is well suited for a scientist interested in developing translational strategies for improving stem cell-based therapies for Type 1 diabetes and novel immune tolerance approaches in cell replacement therapy.
Key Responsibilities
  • Design and perform functional genomics screens in human stem cell-derived pancreatic cells to characterize regulatory network and functional genome connectivity.
  • Develop and implement genome engineering, differentiation, and immune-challenge assays.
  • Engineer regulatory networks that protect cells from inflammatory stress, autoimmune recognition, or allogeneic immune attack.
  • Generate and analyze single-cell transcriptomic, epigenomic, and multi-omic datasets.
  • Prioritize and validate candidate elements and pathways using targeted genetic and molecular approaches.
  • Collaborate with computational scientists to define perturbation-dependent regulatory and immune-response networks.
  • Communicate findings through peer-reviewed publications, conference presentations, and grant applications.
  • Mentor junior researchers and contribute to a collaborative laboratory environment.

Preferred Qualifications
Applicants should have a PhD, MD, or equivalent doctoral degree in stem cell biology, molecular biology, immunology, bioengineering, computational biology, or a related field.
Experience in one or more of the following areas is preferred:
  • Human pluripotent stem cell culture and directed differentiation.
  • Pancreatic beta-cell or islet biology.
  • CRISPR, functional genomics, or genome engineering.
  • Next Generation Sequencing approaches, such as ATACseq, ChiPseq, RNAseq, single cell-omics.
  • Single-cell genomics, Perturb-seq, or multi-omic analysis.
  • In vitro immune interaction, or transplantation assays.

Prior experience in every area is not required. Applicants with strong experimental expertise and an interest in developing complementary skills are encouraged to apply.
Research Environment
The Maehr Lab part of the Program in Molecular Medicine and is located within the Diabetes Center of Excellence at UMass Chan Medical School. The lab is part of a highly collaborative environment spanning stem cell biology, immunology, functional genomics, transplantation biology, and regenerative medicine.
Application Materials
Applicants should submit:
  • A curriculum vitae.
  • A brief cover letter describing research experience, scientific interests, and career goals.
  • Contact information for three references.
  • One or two representative publications.

Applications will be reviewed on a rolling basis until the position is filled. The start date is flexible.
Posting Disclaimer:
This job posting outlines the primary responsibilities and qualifications for the role but is not intended to be an exhaustive list. Duties and expectations may evolve in response to the needs of the department and the broader institution.
In alignment with our commitment to pay transparency, the base salary range for this position is listed above (exclusive of benefits and retirement). At UMass Chan Medical School, final base salary offers are determined based on a combination of factors, including your skills, education, and relevant experience. We also consider internal equity to ensure fair and consistent compensation across our teams.
Please note that the range provided reflects the full base salary range for this position. Offers are typically made within the midrange to allow for future growth and development within the role.
In addition to base pay, UMass Chan offers a comprehensive Total Rewards package, which includes paid time off, medical, dental, and vision coverage, and participation in a 401(a)-retirement plan, with the option to contribute to a voluntary 403(b) plan.
UMass Chan welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.

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