1

Single Cell Core Jobs (NOW HIRING)

Computational Biologist

South San Francisco, CA

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Familiarity with core single-cell bioinformatics workflows, including demultiplexing, alignment, and quality control * Strong software engineering fundamentals and experience working with ...

Computational Biologist

South San Francisco, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Familiarity with core single-cell bioinformatics workflows, including demultiplexing, alignment, and quality control * Strong software engineering fundamentals and experience working with ...

Research Associate II, R&D

South San Francisco, CA · On-site

$80K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Core Responsibilities: * Prepare, handle, and/or culture human cell lines and primary cells for testing on Mission Bio's single-cell Tapestri platform. * Execute experiments following complex plans ...

Showing results 21-40

Single Cell Core information

See salary details

$12

$21

$30

How much do single cell core jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for single cell core 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 a single cell core?

A Single Cell Core is a specialized facility within a research institution that provides expertise, equipment, and services for single-cell genomics and related technologies. These cores support researchers in isolating, processing, and analyzing individual cells to better understand cellular heterogeneity in complex tissues. Services may include single-cell RNA sequencing, library preparation, data analysis, and consultation. Single Cell Cores are essential for advancing research in fields such as cancer biology, immunology, and developmental biology.

What is the difference between Single Cell Core vs Single Cell Technician?

AspectSingle Cell CoreSingle Cell Technician
CredentialsTypically requires a bachelor's degree in biology, biotechnology, or related fieldsUsually requires a similar degree or certification in laboratory techniques
Work EnvironmentResearch laboratories, biotech companies, academic institutionsLaboratories, research facilities, biotech companies
Job FocusProviding core services for single cell analysis, data processing, and sample preparationPerforming technical procedures, sample handling, and data collection

The Single Cell Core generally refers to a facility or service providing specialized single cell analysis support, while a Single Cell Technician is an individual performing technical tasks within that environment. Both roles require similar educational backgrounds and work in comparable settings, but the Core often oversees multiple technicians and manages core services.

What are the key skills and qualifications needed to thrive as a single cell core specialist?

To thrive as a Single Cell Core specialist, you need a strong background in molecular biology, genomics, and experience with single-cell sequencing techniques, often supported by an advanced degree in a life science field. Familiarity with technical tools such as flow cytometry, next-generation sequencing platforms, and data analysis software like Seurat or Cell Ranger is essential. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for collaborating with researchers and ensuring high-quality results. These competencies are crucial for generating reliable data, facilitating cutting-edge research, and advancing scientific discoveries in the field.

What are some common challenges faced by professionals working in a single cell core facility, and how can new team members prepare for them?

Professionals in a Single Cell Core facility often encounter challenges such as troubleshooting complex instrumentation, managing large volumes of high-dimensional data, and ensuring sample quality throughout the workflow. New team members can prepare by developing strong technical skills in single cell platforms (like 10x Genomics or Fluidigm), familiarizing themselves with bioinformatics tools, and cultivating effective communication with researchers to understand experiment goals. Working collaboratively within a multidisciplinary team and staying current with emerging single cell technologies will also help overcome these challenges and contribute to the core’s success.
More about Single Cell Core jobs

What cities are hiring for Single Cell Core jobs?

Cities with the most Single Cell Core job openings:

What states have the most Single Cell Core jobs?

States with the most job openings for Single Cell Core jobs include:

Infographic showing various Single Cell Core job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $45,021 per year, or $21.6 per hour.

Post Doctoral Research Fellow- Computational Scientist, Biostatistics and Spatial Transcriptomics

Msk

New York, NY • On-site

$72K - $87K/yr

Full-time

Posted 4 days ago


Job description

About Us:

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe.

Exciting Opportunity at MSK: Computational Scientist

  • The Adusumilli Lab, in close collaboration with the Department of Epidemiology and Biostatistics, is seeking a highly motivated and talented PhD-level Computational Scientist to drive cutting-edge translational cancer research.
  • This unique joint role sits at the intersection of rigorous statistical methodology, advanced single-cell/spatial omics, and clinical translation in surgical oncology.
  • You will develop and apply innovative statistical frameworks to map the tumor immune microenvironment (TIME), decode multi-cellular architectural niches, and collaborate closely with a multidisciplinary team of computational biologists, statisticians, and surgeons.

Key Requirements

  • Education: PhD in Biostatistics, Statistics, Computational Biology, Bioinformatics, or a closely related quantitative field with strong core statistical training.
  • Technical Expertise:
    • Proven track record in analyzing and modeling single-cell and high-plex spatial profiling data.
    • Direct experience processing data from multiplexed imaging or sequencing-based spatial platforms (e.g., Imaging Mass Cytometry (IMC), 10x Genomics Xenium, NanoString CosMx, and/or 10x Genomics Visium).
    • Advanced proficiency in Python and/or R programming and expert-level familiarity with single-cell and spatial ecosystems, specifically Seurat, Giotto, and relevant Bioconductor packages.
    • Strong foundation in spatial statistics, including spatial autocorrelation, cell deconvolution algorithms, and distance-based neighborhood modeling.
  • Experience:
    • Demonstrated experience working with paired single-cell RNA-seq and V(D)J/TCR sequencing datasets.
    • Experience analyzing translational data involving tumor-infiltrating lymphocytes (TILs), immunophenotyping markers, and clinical-pathological correlation.
    • Ability to bridge the gap between complex mathematical/algorithmic theory and practical clinical interpretation.
  • Soft Skills: Outstanding communication skills, with a proven ability to collaborate effectively across multidisciplinary teams of clinicians, statisticians, and computational biologists.

Core Skills

  • Methodological & Pipeline Development: Develop, scale, and implement novel statistical methods and machine learning frameworks tailored for high-dimensional spatial omics and single-cell landscapes. This includes building pipelines for multiplexed spatial imaging data and paired single-cell multi-omics.
  • Spatial Architecture & Niche Profiling: Implement advanced spatial point pattern analysis, cell-cell interaction modeling, and neighborhood/niche identification to map cell-to-cell spatial proximity and architectural differences within the tumor microenvironment across distinct clinical cohorts.
  • Immunophenotyping & Clinical Association: Design analytical strategies to model the landscape of the immune microenvironment (e.g., PD-L1 expression patterns, tumor-infiltrating lymphocyte densities) and statistically associate these spatial phenotypes with clinical outcomes.
  • Study Design: Provide expert statistical guidance on study design, sample size estimation, and power calculations for translational protocols and grant proposals (NIH/NCI).

We offer a competitive salary and benefits package, as well as the opportunity to work in a highly collaborative and innovative environment. If you meet the qualifications and are interested in joining our team, please apply with your resume and cover letter.

Please submit your CV, bibliography, brief statement of research interests, and names and details of 2 references to John Pintadoat pintadoj@mskcc.org.

Pay Range: $72,000 - $87,564

Based on PGY*

Helpful links:

  • MSK Compensation Philosophy
  • Review Our Great Benefits Offerings
Pay Range: $0.00 - $10,000,000.00FSLA Status: Exempt

Closing:

At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.