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Single Cell Rna Sequencing Jobs in York, PA (NOW HIRING)

Manager of Genomics Core

Hershey, PA · On-site

$65K - $108K/yr

Lead and support genomics services such as next-generation sequencing (NGS), single-cell sequencing, and other emerging multi-omic technologies Collaborate with investigators on experimental design ...

Single Cell Rna Sequencing information

See York, PA salary details

$12

$21

$29

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

As of Aug 26, 2026, the average hourly pay for single cell rna sequencing in York, PA is $21.30, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $26.73 per hour, depending on experience, location, and employer.

What is single cell RNA sequencing?

Single cell RNA sequencing (scRNA-seq) is a technique that allows researchers to examine the gene expression profiles of individual cells. Unlike traditional RNA sequencing, which measures average gene expression across thousands or millions of cells, scRNA-seq reveals the unique transcriptomic signature of each cell. This method is valuable for studying cellular diversity, identifying rare cell types, and understanding complex biological processes such as development, disease progression, and immune responses.

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

To thrive as a Single Cell RNA Sequencing Specialist, you need a solid background in molecular biology, genomics, and data analysis, typically supported by a relevant degree in the life sciences. Familiarity with sequencing platforms (such as 10x Genomics or Illumina), bioinformatics tools (like Seurat or Cell Ranger), and experience with data visualization are crucial. Attention to detail, problem-solving ability, and strong communication skills help ensure accurate results and effective collaboration with research teams. Mastering these skills is essential for generating high-quality data, troubleshooting experiments, and translating complex findings into actionable insights.

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

Researchers in Single Cell RNA Sequencing often encounter challenges such as sample preparation variability, data complexity, and managing large datasets. Ensuring high-quality single-cell suspensions and minimizing cell loss during processing are critical steps. Additionally, interpreting data requires proficiency with bioinformatics tools and collaboration with computational biologists. Staying up-to-date with evolving protocols and leveraging multi-disciplinary teamwork can help address these challenges effectively.

What is the difference between Single Cell Rna Sequencing vs Single Cell Genomics Technician?

AspectSingle Cell Rna SequencingSingle Cell Genomics Technician
CredentialsTypically requires a degree in biology, molecular biology, or related fields; experience with sequencing technologiesSimilar credentials; often with laboratory or technical certifications in genomics
Work EnvironmentLaboratories performing sequencing, data analysis, and sample preparationLaboratories focused on sample processing, sequencing support, and data collection
Industry UsageUsed in research labs, biotech, and pharmaceutical companies for gene expression studiesCommon in genomics research centers, biotech firms, and academic labs

Both roles involve working with genomic technologies and require similar educational backgrounds. However, Single Cell Rna Sequencing specialists focus more on RNA analysis and data interpretation, while Single Cell Genomics Technicians support sample preparation and sequencing workflows. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Single Cell Rna Sequencing jobs in York, PA?

For Single Cell Rna Sequencing jobs in York, PA, the most frequently searched job titles are:

What cities near York, PA are hiring for Single Cell Rna Sequencing jobs?

Cities near York, PA with the most Single Cell Rna Sequencing job openings:

Infographic showing various Single Cell Rna Sequencing job openings in York, PA as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 76% Full Time, 18% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $44,309 per year, or $21.3 per hour.

Research Data Scientist - Molecular and Precision Medicine / Medicine

Hershey, PA • On-site


Penn State University
51 - 200 employees

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

233rd of 623 rated colleges and universities

People enjoy working here

Good employer

Recommended by students


$65K - $94K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This position is funded for 6 months; continuation past 6 months will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
Position Summary
The Penn State College of Medicine, Department of Molecular and Precision Medicine and Department of Medicine, seek a PhD-trained Senior Bioinformatician / Research Data Scientist to support an expanding portfolio of translational and precision health research programs. The successful candidate will develop, implement, and evaluate advanced computational and statistical approaches to analyze high-dimensional biological data, including multi-omics datasets. This role will collaborate closely with faculty investigators across disciplines-including aging biology, infectious diseases, cancer biology, and mucosal immunology-to integrate genomics, transcriptomics (including single-cell), proteomics, and related datasets into mechanistic and translational insights.
The Senior Bioinformatician will serve as a key computational partner across multiple projects, contributing to study design, data analysis, visualization, and interpretation while helping to build sustainable computational infrastructure within the department.
Key Responsibilities
  • Develop, select, and apply advanced computational and statistical methods to analyze complex biological datasets
  • Perform integrative multi-omics analyses (e.g., genomics, transcriptomics, single-cell RNA-seq, proteomics, epigenomics)
  • Utilize and implement tools such as Scanpy and other single-cell analysis frameworks
  • Develop and maintain reproducible workflows in Python and related programming environments
  • Collaborate with faculty to design computational strategies aligned with research aims
  • Develop novel algorithms, software tools, and analytical pipelines to address emerging research questions
  • Generate high-quality visualizations and analytical summaries for manuscripts, grant applications, and presentations
  • Contribute to interpretation of results and development of new hypotheses
  • Support training of trainees and junior investigators in data analysis best practices
  • Ensure data management, documentation, and reproducibility standards are maintained

Preferred Qualifications
  • PhD in Bioinformatics, Computational Biology, Biology, Biomedical Sciences, Biostatistics, Computer Science, or related field
  • Demonstrated experience analyzing high-dimensional biological or omics datasets
  • Strong programming skills in Python (required) and familiarity with data science frameworks
  • Experience with single-cell data analysis tools (e.g., Scanpy or similar platforms)
  • Experience integrating multi-omics datasets
  • Ability to work collaboratively across interdisciplinary research teams
  • Strong written and verbal communication skills
  • Background in biology, immunology, cancer biology, infectious diseases, aging, or related biomedical fields
  • Experience working in an academic medical center environment
  • Familiarity with high-performance computing environments and cloud-based analysis
  • Track record of contribution to peer-reviewed publications

Impact of the Role
This position will serve as the senior bioinformatics lead across multiple translational research initiatives, enabling integration of large-scale datasets into biologically meaningful discoveries. The role is central to advancing precision health initiatives and strengthening the department's computational research capacity.
MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS
Bachelor's Degree1+ years of relevant experience; or an equivalent combination of education and experience acceptedRequired Certifications:None
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
Penn State does not sponsor or take over sponsorship of a staff employment Visa. Applicants must be authorized to work in the U.S.
SALARY & BENEFITS
The salary range for this position, including all possible grades, is $65,508.00 - $94,980.00.
Salary Structure - Information on Penn State's salary structure
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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