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Postdoc Single Cell Rna Sequencing Analysis Jobs in Warren, MA

Doosan

Sr. Project Manager, PE&I

South Windsor, CT · On-site

We are a leading provider of stationary fuel cell solutions in some of the world's largest and ... sequencing, mechanical completion, commissioning activities, start-up, and performance verification ...

DOOSAN

Sr. Project Manager, PE&I

South Windsor, CT

We are a leading provider of stationary fuel cell solutions in some of the world's largest and ... sequencing, mechanical completion, commissioning activities, start-up, and performance verification ...

The Panther Group

EM Assembler I

Shrewsbury, MA

$20/hr

Work from written instructions that provide detailed methods and sequence of assembly operations ... Able to analyze problems and offer solutions. * Exposure to hand tools and power tools. * Exposure ...

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All JobsPostdoc Single Cell Rna Sequencing Analysis JobsPostdoc Single Cell Rna Sequencing Analysis Jobs in Warren, MA

Postdoc Single Cell Rna Sequencing Analysis information

See Warren, MA salary details

$5

$23

$30

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

As of Aug 12, 2026, the average hourly pay for postdoc single cell rna sequencing analysis in Warren, MA is $23.12, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $25.67 per hour, depending on experience, location, and employer.

What is the difference between Postdoc Single Cell Rna Sequencing Analysis vs Postdoc Bioinformatics?

AspectPostdoc Single Cell Rna Sequencing AnalysisPostdoc Bioinformatics
Required CredentialsPhD in Biology, Genetics, or related field; experience in sequencing data analysisPhD in Computer Science, Bioinformatics, or related field; programming skills essential
Work EnvironmentResearch labs focusing on genomics and cell biologyResearch institutions, biotech companies, or academic labs with computational focus
Employer & Industry UsageBiotech, academic research, pharmaceutical companiesBiotech, healthcare, academic research, industry R&D

Postdoc Single Cell Rna Sequencing Analysis specialists focus on analyzing single-cell transcriptomics data, often requiring biological expertise and lab experience. In contrast, Postdoc Bioinformatics roles emphasize computational skills and software development to interpret large datasets across various biological contexts. Both roles are vital in genomics research but differ in their primary focus and skill set.

What are the key skills and qualifications needed to thrive as a postdoc in single cell RNA sequencing analysis, and why are they important?

To thrive as a Postdoc in Single Cell RNA Sequencing Analysis, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by a PhD in a relevant field. Proficiency with computational tools such as R, Python, and specialized single-cell analysis platforms (e.g., Seurat, Scanpy), as well as experience with data visualization and next-generation sequencing, is essential. Strong problem-solving abilities, effective communication, and collaboration skills help distinguish top candidates in interdisciplinary research environments. These skills enable accurate data interpretation, drive innovation, and support impactful scientific discoveries in complex biological systems.

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

Postdocs in single cell RNA sequencing analysis often encounter challenges such as managing large and complex datasets, integrating multi-omic data, and staying current with rapidly evolving bioinformatics tools. Collaborating closely with wet lab scientists and computational biologists is essential to interpret results accurately and to troubleshoot technical issues. Building strong programming and statistical skills, as well as actively participating in lab meetings and seminars, can help address these challenges and contribute to both personal growth and successful project outcomes.

What does a postdoc in single cell RNA sequencing analysis do?

A Postdoc in Single Cell RNA Sequencing (scRNA-seq) Analysis specializes in analyzing gene expression data from individual cells. Their main responsibilities include processing raw sequencing data, performing quality control, identifying cell types or states, and interpreting biological insights from the data. They often develop or apply computational methods to handle large datasets, collaborate with experimental biologists, and present findings through publications or conferences. The ultimate goal is to understand cellular heterogeneity and uncover new biological mechanisms at the single-cell level.
What cities near Warren, MA are hiring for Postdoc Single Cell Rna Sequencing Analysis jobs? Cities near Warren, MA with the most Postdoc Single Cell Rna Sequencing Analysis job openings:
Postdoc Single Cell Rna Sequencing Analysis jobs near you
Infographic showing various Postdoc Single Cell Rna Sequencing Analysis job openings in Warren, MA as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $48,092 per year, or $23.1 per hour.

Post Doc - Open Rank

University of Massachusetts Medical School

Worcester, MA • On-site

$62K - $75K/yr

Full-time

Re-posted 10 days ago

Job description

Overview
Research focus and environment:
One postdoctoral scholar position is immediately available in the Ling lab in the Department of Genetic and Cellular Medicine (GCM), Horae Gene Therapy Center at the University of Massachusetts Chan Medical School (UMass Chan). The GCM, consisting of investigators from different background and research expertise, provides a highly dynamic and collaborative environment, with a common goal of developing gene and cell therapies for diseases with no other treatments.
The Ling lab was established at GCM in 2024, focusing on developing innovative gene therapies for neurological and mitochondrial diseases. Our active research projects include:
  • Gene editing in mitochondrial DNA: we use base editing technologies to create mouse models for gene mutations in the mitochondrial DNA, and develop gene therapies targeting the most frequent pathogenic variants.
  • Gene therapy for vestibular schwannoma: we engineer novel gene therapies to slow vestibular schwannoma growth and prevent hearing loss. We leverage multi-omics patient data and develop patient-derived 3D tumoroid models to accelerate the development of an effective and safe gene therapy for the patients.

The lab is currently supported by NIH, NF Northeast Foundation, and UMass Chan startup fund. For more details, please visit: https://www.umassmed.edu/qlinglab/
Responsibilities
Responsibilities:
  • Design and execute experiments
  • Analyze and interpret data
  • Collaborate with team members, graduate students, and external partners to execute projects
  • Engage in project and journal discussions
  • Prepare manuscripts, present findings at conferences, and contribute to grant writing
  • Stay current with advances in mitochondrial biology and gene therapy technologies
  • Assist in lab operation, and maintain organized and detailed lab records

Qualifications
Qualifications:
  • PhD in molecular biology, genetics, immunology, neuroscience or related biological/biomedical science.
  • Highly motivated to apply skills towards develop gene therapies.
  • Being able to conduct experiments in both in vitro and in vivo models
  • Skills in bioinformatics or omics analysis are highly desirable
  • Strong attention to detail
  • Excellent experimental and analytical skills, and careful research-record keeping.
  • Strong written and verbal communication/presentation skills.
  • Ability to work independently and collaboratively

Additional Information
Career development:
The Ling lab values collaboration and personal growth. We work with you to tailor your training to meet your career goal, either being academia or industry, while you contribute to the growth of the lab. The goal of the Ling lab is to use our knowledge and passion 1) to help young scientists build scientific skills; 2) to find the hope for families with genetic diseases.
As an equal opportunity and affirmative action employer, the University of Massachusetts Chan Medical School recognizes the power of a diverse community and encourages applications from individuals with varied experiences, prospectives, and backgrounds.
Life in Worcester:
Worcester locates in central Massachusetts. It is an affordable, and vibrant city, offering a variety of restaurants featuring different cuisines, as well as a rich array of art, music, and outdoor activities. The city is one hour driving distance to both Boston and Providence, RI.
To apply:
Please submit a cover letter and CV listing three references by email to Qinglan Ling at qinglan.ling@umassmed.edu

Apply