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Single Cell Rna Sequencing Phd Jobs in Raleigh, NC

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

Experience with next-generation sequencing data analysis, including RNA-Seq, single-cell RNA sequencing, and microarray analysis. * Proficiency in programming languages and tools such as R, Python ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

... primary focus on single cell and spatial omics data analysis.This is a full-time, on-site ... Conduct analyses on NextGen sequencing data including data derived inChIP-Seq,RNA-Seq, miRNA-Seq ...

Duke University

Postdoctoral Associate

Durham, NC

At a minimum, applicants for this position must have a PhD degree, or the foreign equivalent in ... Single-cell sequencing, spatial transcriptomics, or spatial proteomics. * Multi-omics data ...

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

As of Aug 27, 2026, the average hourly pay for single cell rna sequencing phd in Raleigh, NC is $34.52, according to ZipRecruiter salary data. Most workers in this role earn between $28.27 and $39.28 per hour, depending on experience, location, and employer.

What is a single cell RNA sequencing PhD?

A Single Cell RNA Sequencing PhD is a doctoral degree focused on the study and application of single-cell RNA sequencing (scRNA-seq) technologies. This field involves analyzing the gene expression profiles of individual cells, allowing researchers to understand cellular heterogeneity and complex biological processes at a granular level. PhD students in this area typically conduct original research, develop computational methods, and advance our understanding of cell biology, disease mechanisms, and potential therapeutic targets. Graduates often pursue careers in academia, biotechnology, or pharmaceutical research.

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

To thrive as a Single Cell RNA Sequencing PhD, you need a strong background in molecular biology, bioinformatics, and genomics, typically supported by a PhD in a relevant field. Proficiency with single-cell sequencing platforms (e.g., 10x Genomics), next-generation sequencing (NGS) technologies, and computational analysis tools like R or Python is essential. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating within multidisciplinary teams. These skills and qualifications are vital for designing robust experiments, analyzing high-dimensional data, and translating findings into impactful biological insights.

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

One of the main challenges in a Single Cell RNA Sequencing PhD role is managing and interpreting large, complex datasets generated from single-cell experiments. Researchers must be proficient in both wet-lab techniques and bioinformatics analysis, often requiring collaboration with computational biologists. Another challenge is ensuring sample quality and minimizing technical variability, which can significantly impact data reliability. Staying updated with rapidly evolving sequencing technologies and analytical tools is crucial, as is developing strong problem-solving skills to troubleshoot experimental or computational issues.

What is the difference between Single Cell Rna Sequencing Phd vs Single Cell Data Analyst?

AspectSingle Cell Rna Sequencing PhdSingle Cell Data Analyst
Required CredentialsPhD in Biology, Genetics, or related fieldBachelor's or Master's in Data Science, Biology, or related field
Work EnvironmentResearch labs, biotech companies, academic institutionsBiotech firms, research organizations, healthcare companies
Industry UsageDesigning experiments, interpreting sequencing data, publishing researchAnalyzing sequencing datasets, creating reports, data visualization

The Single Cell Rna Sequencing Phd typically involves designing experiments and interpreting complex sequencing data, requiring advanced research skills. In contrast, a Single Cell Data Analyst focuses on analyzing datasets, generating insights, and visualizing data, often with less emphasis on experimental design. Both roles are vital in the biotech industry but differ in their focus and required expertise.

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Single Cell Rna Sequencing Phd jobs near you
Infographic showing various Single Cell Rna Sequencing Phd job openings in Raleigh, NC as of June 2026, with employment types broken down into 6% As Needed, 56% Full Time, 19% Part Time, 16% Contract, and 3% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $71,804 per year, or $34.5 per hour.

Bioinformatics Engineer II (Remote/East Coast)

Raleigh, NC • On-site, Remote

Parse Biosciences
Biotechnology Research and Development • 11 - 50 employees
Learn more about Parse Biosciencesexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

WHO WE ARE

Parse Biosciences, a QIAGEN company, is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, its pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.

Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis.

THE PRODUCT

We've built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we're offering a rare opportunity to join our team and change the world by building tools that help to improve human health.

The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with!

THE POSITION

As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You'll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature.

YOU CAN EXPECT

  • An agile, diverse and multidisciplinary team.
  • A supportive, inclusive and transparent working environment where teammates learn from and help each other all the time.
  • A place to look at things differently, challenge and offer solutions.
  • A small team environment where you will have the opportunity to make a significant impact by actively driving change in technology, processes and culture.
  • A fast-paced environment of continuous improvement, optimised for impact.

IN THIS POSITION, YOU WILL

This position is for full time, 100% remote work. We would expect you to:

  • Always put the user first.
  • Design, prototype, develop, and test new computational pipelines and visualizations for single cell data analysis in Trailmaker.
  • Continuously iterate and improve existing single cell pipelines and features.
  • Receive and incorporate feedback from customers and colleagues.
  • Perform troubleshooting of customer analyses.
  • Keep up-to-date on the rapidly evolving field of single cell genomics and relay observations of new methods, benchmarking studies, etc. to the team.
  • Experiment, test, try, fail and learn continuously.
  • Think like an owner, and take pride in your work.
  • Help and mentor teammates.

FOR THIS POSITION, WE LOOK FOR

  • Someone excited about building tools that will be used by thousands of single cell researchers.
  • A track record of designing, building and improving data analysis software that solves user problems.
  • A degree in bioinformatics (or similar) and 3+ total years of experience working in bioinformatics engineer roles. Additional experience (5+ years) is necessary to be appointed at Bioinformatics Engineer II level.
  • Fluent in Python and R.
  • Practical experience of working with open source single cell data analysis tools and packages, including Scanpy and Seurat.
  • Competency working with container-based cloud applications, ideally on AWS.
  • Strong data visualization skills.
  • Significant experience in conducting code reviews and providing feedback to others.
  • Experience and desire to work as part of a close-knit team.
  • Experience using version control systems such as Git/GitHub is preferred.
  • Proficiency building pipelines with Nextflow or similar frameworks is preferred.
  • Experience of integrating AI tools into development workflows is preferred.
  • Knowledge of and/or interest in web development is preferred.
  • Experience working with Bash is preferred.

JOB CONDITIONS

  • This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. Laptop and any other essential technical/home office equipment will be provided.
  • Regular communication and collaboration with team members will occur virtually through Zoom meetings, Slack instant messaging/huddles, and email.

Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law.

As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably.

To meet the health and wellness needs of our team, Parse offers a comprehensive benefits package for all full time employees, including:
  • Medical, dental, vision, and Rx (prescription) coverage beginning on the 1st day of the month following your start date. Parse covers 90% of the monthly premiums for employees, and 60% for dependents.
  • A 401(k) program with no waiting period to participate
  • Basic life insurance and short and long-term disability coverage. Monthly premiums for both are covered at 100% by Parse.
  • Flexible spending account (FSA) options for medical, dependent care, and commuter expenses
  • A transportation program (Seattle only)
  • 12 paid holidays annually and a winter holiday break
  • A generous time off policy
Market Pay Range - Exact compensation offered will be determined based on the candidate's education, experience, skills, and geographic location, and may vary for candidates in regions with significantly different market conditions.
$100,000—$135,000 USD