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Postdoc Single Cell Rna Sequencing Analysis Jobs

Biohub

Postdoctoral Fellow, Single-Cell Genomics

Chicago, IL · On-site

$50K - $68K/yr

We welcome candidates from diverse experimental backgrounds-whether rooted in sequencing, imaging ... Analyze and interpret large-scale, high-dimensional datasets using computational and statistical ...

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Postdoc Single Cell Rna Sequencing Analysis information

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

As of Jun 26, 2026, the average hourly pay for postdoc single cell rna sequencing analysis in the United States is $22.32, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 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.
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Postdoc Single Cell Rna Sequencing Analysis jobs near you
Infographic showing various Postdoc Single Cell Rna Sequencing Analysis job openings in the United States as of June 2026, with employment types broken down into 4% Locum Tenens, 2% Full Time, 90% Part Time, 3% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $46,417 per year, or $22.3 per hour.
Bioinformatics Scientist (Discovery Biology)

Bioinformatics Scientist (Discovery Biology)

Neurona Therapeutics

South San Francisco, CA • On-site

$133K - $155K/yr

Full-time

Posted 11 days ago

Job description

Bioinformatics Scientist (Discovery Biology)
Neurona Therapeutics is a clinical stage biotechnology company based in South San Francisco focused on the development of neuronal cell-based therapies for neurological diseases. Our ideal candidate is a self-motivated individual who has a passion for scientific research. This is a fantastic opportunity to join a small team, work on transformative science, and take part in building an exciting, science-driven company.
The role:
We are seeking a talented and motivated Bioinformatics Data Scientist to help expand, scale and optimize our single cell transcriptomics and multiomics workflows. In this role, you will collaborate with a small team of experimental and computational R amp;D scientists and play a key part in expanding our pipeline capabilities towards biomarker discovery, characterization of leading cell therapy product candidates, as well as fuel novel product development. The finalist’s job title and leveling will be dependent on experience.
Responsibilities include:
  • Implement and optimize bioinformatics workflows for efficient and accurate single cell RNA sequencing data analysis
  • Collaborate and communicate extensively with multidisciplinary teams within and across departments to conceptualize, execute and analyze experiments in support of internal studies and external collaborations
  • Integrate novel cutting-edge tools and analytical approaches into existing pipelines
  • Contribute to infrastructure and workflow improvements
  • Build and maintain platforms for data visualization
  • Maintain detailed records up to industry standards for reproducible computing (data, code, and environments)
  • Prepare results for internal meetings, grant and patent applications, scientific publications, and regulatory filings

Required Qualifications:
  • PhD degree (or MS + 3 years of experience working in biotech or life sciences) in Bioinformatics, Computer Science, Computer Engineering, Computational Biology, Data Science, Genetics or related field
  • Demonstrated track record, including research publications, working with NGS pipelines
  • Strong understanding and extensive experience with single-cell RNA-sequencing analysis principles, from alignment, assembly, reference mapping, to annotation and visualization
  • Solid foundation in molecular biology and hands-on experience with Illumina sequencing
  • Proficiency in R, Python or similar language, and ability to implement open-source packages
  • Experience with large-scale multiomic data processing, storage, and visualization strategies
  • Competency to read and incorporate newly published approaches for analysis
  • Willingness to expand skill set and contribute to emerging needs in a highly dynamic start-up environment
  • High integrity, great organization and ability to multitask while working within fast-paced timelines
  • Excellent written and verbal communication skills
  • Collaborative team player with a problem-solver mindset
  • Ability to work independently, take ownership over problems and take initiative to improve work processes, develop innovative scientific methodologies and approaches to enhance research productivity

Preferred Qualifications:
  • Experience with single cell ATACseq and spatial transcriptomics
  • General multiomics expertise: genomics, transcriptomics, epigenomics, chromatin dynamics
  • Experience building intuitive web tools for bioinformatics analysis
  • Foundational knowledge of neuroscience, stem cell biology, and developmental biology
  • Familiarity with in vitro directed differentiation paradigms from pluripotent stem cells (especially along the neuronal lineage), and molecular characterization of derived cell types
  • 1+ years of wet lab experience is a plus

This job description is not exhaustive and not intended to cover all activities of the position. Duties, responsibilities and activities may change, or new ones may be assigned at any time with or without notice.
Neurona is proud to be an equal opportunity employer and will consider all qualified applicants for employment.
Interested in learning more about our science and our team? Please visit our website at www.neuronatherapeutics.com.
Neurona is proud to be an equal opportunity employer and will consider all qualified applicants for employment.
Recruitment Fraud Notice
We are aware of active recruitment scams using the Neurona name, where individuals pose as our recruiters or post fake remote job openings and make fraudulent job offers online. Please note, that we will never make an offer of employment without conducting multiple rounds of face-to-face interviews using secure video-conferencing technology. Additionally, we will never ask candidates to cash checks or make any payment to be considered for a position.
If you believe you have been a victim of a phishing scam, please visit the Cybersecurity amp; Infrastructure Security Agency (CISA) at https://www.cisa.gov/be-cyber-smart/report-incident to learn how to report it.

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