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Single Cell Rna Sequencing Analysis Jobs (NOW HIRING)

Staff Scientist

Chicago, IL · On-site

$80K - $100K/yr

Performs bioinformatic analyses of bulk and single-cell sequencing datasets, including RNA-seq, single-cell RNA-seq, and epitranscriptomic datasets. * Integrates multi-omics datasets to identify ...

SRA 1

San Francisco, CA · On-site

$41.50 - $52/hr

Experience in R Studio and/or Python to analyze single-cell RNA sequencing, bulk RNA sequencing, and whole-exome sequencing data * Experience in molecular biology techniques such as sgRNA cloning and ...

Staff Scientist

Chicago, IL · On-site

$80K - $100K/yr

Performs bioinformatic analyses of bulk and single-cell sequencing datasets, including RNA-seq, single-cell RNA-seq, and epitranscriptomic datasets. * Integrates multi-omics datasets to identify ...

Additionally, previous experience analyzing transcriptomic data is an advantage, as the dry lab (e.g., single cell RNA-sequencing dataset analysis) informs the wet lab work. Primary Duties ...

Bioinformatics Scientist

Tucson, AZ · On-site

$45 - $65/hr

Hands-on experience with single-cell RNA sequencing (scRNA-seq) analysis and interpretation. * Experience with 10x Genomics analysis workflows . * Proficiency in Python and/or R programming.

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How much do single cell rna sequencing analysis jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for single cell rna sequencing analysis in the United States is $35.51, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $40.38 per hour, depending on experience, location, and employer.

What is single cell RNA sequencing analysis?

Single cell RNA sequencing analysis is a technique used to study gene expression at the level of individual cells. Unlike bulk RNA sequencing, which provides average gene expression across many cells, single cell analysis allows researchers to observe the diversity and heterogeneity among individual cells within a tissue or sample. This method is particularly useful for identifying rare cell types, understanding developmental processes, and uncovering the molecular mechanisms underlying diseases. The analysis involves isolating single cells, sequencing their RNA, and then using computational tools to interpret the data.

What are the key skills and qualifications needed to thrive as a single cell RNA sequencing analyst?

To thrive as a Single Cell RNA Sequencing Analyst, you need a strong background in molecular biology, bioinformatics, and data analysis, usually supported by an advanced degree in a relevant field. Familiarity with analytical tools such as Seurat, Scanpy, R, and Python, as well as experience with sequencing platforms and pipelines, is typically required. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills for interpreting complex datasets and collaborating with scientific teams. These competencies are crucial for generating high-quality insights from single-cell data, driving research discoveries, and supporting experimental success.

What are some common challenges faced when analyzing single-cell RNA sequencing data, and how can they be addressed?

One of the main challenges in single-cell RNA sequencing (scRNA-seq) analysis is dealing with the high dimensionality and sparsity of the data, as many genes may not be detected in every cell. Additionally, batch effects and technical variability can complicate data integration from multiple experiments or platforms. To address these issues, analysts often use specialized normalization techniques, batch correction algorithms, and dimensionality reduction methods such as PCA or t-SNE. Collaborating closely with wet-lab scientists and bioinformaticians helps ensure that both biological and technical factors are appropriately considered throughout the analysis process.
Infographic showing various Single Cell Rna Sequencing Analysis job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $73,866 per year, or $35.5 per hour.

Senior Scientist - Computational Genomics & Large-Scale Molecular Data Analysis (Dr Sealfon's Lab) -

Manhattan, NY • On-site

Mount Sinai Hospital
Hospitality Services • 10K+ employees

Full-time

Posted 27 days ago


Mount Sinai rating

7.7

Company rating: 7.7 out of 10

Based on 298 frontline employees who took The Breakroom Quiz

163rd of 898 rated healthcare providers


Job description


We are seeking a highly motivated Senior Scientist to lead and support the analysis of large-scale molecular datasets in a dynamic, collaborative research environment. This role focuses on cutting-edge functional genomics, with an emphasis on single-cell and multi-omic technologies.
The Senior Scientist will drive computational analysis of high-dimensional datasets, partnering closely with a well-integrated computational-experimental team to generate biological insights from complex genomic data. The ideal candidate has deep expertise in single-cell transcriptomics and epigenomics, experience handling large-scale datasets, and strong quantitative and programming skills. Experience in machine learning and AI approaches is highly desirable.
Responsibilities
  • Lead analysis of single-cell RNA-seq and multiome datasets (joint RNA/ATAC profiling)
  • Perform integrative analysis across modalities, including bulk RNA-seq, ATAC-seq, and DNA methylation datasets
  • Develop processing pipelines for novel single cell multiomic technologies
  • Apply statistical modeling and machine learning methods to identify cellular states, regulatory programs, and epigenetic signatures
  • Design and implement integrative multi-omic analyses across cohorts and experimental systems
  • Present findings internally and contribute to publications and grant applications
  • Stay current with emerging single-cell and AI-driven genomic analysis methodologies
  • Performs other related duties.

Qualifications
  • Ph.D in sciences or related field, PhD in Computational Biology, Bioinformatics, Genomics, Statistics, or Computer Science highly preferred
  • Minimum five years of experience with scientific investigation.
  • Must have demonstrated outstanding achievement in a field of research
  • Must have contributed to a number of peer-reviewed publications, inventions or the like, at least some of which have had a major impact on advancing the field or discipline.
  • Prior experience successfully securing external grant funding is highly desirable.
  • Strong experience analyzing bulk and single-cell RNA-seq and epigenomic data
  • Proficiency in R, including common single-cell analysis frameworks
  • Experience working with large-scale genomic datasets and high-performance computing environments
  • Strong statistical background and data visualization skills
  • Experience analyzing DNA methylation data (e.g., array-based or sequencing-based approaches)
  • Experience analyzing long-read RNA sequencing datasets
  • Demonstrated use of machine learning/AI methods for genomic data integration or prediction
  • Familiarity with cloud-based workflows and reproducible pipeline development
  • Track record of publications in peer-reviewed journals

About Us
Strength through Unity and Inclusion
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.
About the Mount Sinai Health System:
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.
Equal Opportunity Employer
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

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