1

Spatial Transcriptomics Jobs in Durham, NC (NOW HIRING)

Bioinformatician II

Durham, NC · On-site

$94.16K - $150.73K/yr

Experience with single-cell and/or spatial transcriptomics analysis * Familiarity with multi-omics data integration * Experience applying machine learning or statistical modeling to biological ...

Bioinformatician II

Durham, NC

$94.16K - $150.73K/yr

Experience with single-cell and/or spatial transcriptomics analysis * Familiarity with multi-omics data integration * Experience applying machine learning or statistical modeling to biological ...

RESEARCH TECHNICIAN I

Durham, NC · On-site

$17.50 - $24/hr

Spatial transcriptomics * Single-cell and bulk multi-omics * Genetic variation and functional genomics data * Apply computational methods to integrative genomics studies focused on: * Cancer genomics

Spatial Transcriptomics information

See Durham, NC salary details

$47.3K

$196.6K

$386.5K

How much do spatial transcriptomics jobs pay per year?

As of Jun 3, 2026, the average yearly pay for spatial transcriptomics in Durham, NC is $196,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $386,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Spatial Transcriptomics Scientist, and why are they important?

To thrive as a Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a life science field. Familiarity with spatial transcriptomics platforms (such as 10x Genomics Visium), next-generation sequencing (NGS) technologies, and data analysis tools like R or Python is essential. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for collaborating on interdisciplinary research projects. These skills and qualities are crucial for generating high-quality spatial gene expression data and translating findings into meaningful biological insights.

What are some common challenges faced by professionals working in spatial transcriptomics, and how can they be addressed?

Professionals in spatial transcriptomics often encounter challenges related to handling large, complex datasets and integrating spatial information with gene expression data. Ensuring high-quality sample preparation and mastering advanced imaging or sequencing technologies are also frequent hurdles. These challenges can be addressed by collaborating closely with multidisciplinary teams—including bioinformaticians, molecular biologists, and imaging specialists—and staying up-to-date with the latest software tools and protocols. Continuous learning and effective communication within the team are key to overcoming technical and analytical obstacles in this rapidly evolving field.

What is spatial transcriptomics?

Spatial transcriptomics is an advanced technique that allows scientists to measure gene expression within the spatial context of tissue samples. Unlike traditional RNA sequencing, which loses information about where each gene is expressed, spatial transcriptomics preserves the physical location of gene activity in tissues. This helps researchers better understand how cells function within their native environments and interact with neighboring cells, which is especially valuable in fields like cancer research, neuroscience, and developmental biology. The method combines microscopy, molecular biology, and computational analysis to produce detailed maps of gene expression.
What are popular job titles related to Spatial Transcriptomics jobs in Durham, NC? For Spatial Transcriptomics jobs in Durham, NC, the most frequently searched job titles are:
What job categories do people searching Spatial Transcriptomics jobs in Durham, NC look for? The top searched job categories for Spatial Transcriptomics jobs in Durham, NC are:
Infographic showing various Spatial Transcriptomics job openings in Durham, NC as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $196,612 per year, or $94.5 per hour.
Bioinformatician II

Bioinformatician II

Duke University

Durham, NC • On-site

$94.16K - $150.73K/yr

Full-time

Medical, Dental, Retirement

Posted yesterday


Duke University rating

6.5

Company rating: 6.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

435th of 532 rated colleges and universities


Job description

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.
Be You.
Bioinformatician II - Cancer Genomics & Single-Cell Biology
The Oliver Lab at Duke University (www.theoliverlab.com) is seeking a highly motivated Bioinformatician II to join a multidisciplinary research team focused on understanding the mechanisms that drive tumor lineage plasticity, heterogeneity, and drug resistance in lung cancer. Building on recent discoveries (Finlay et al, Cancer Cell, 2024 and Ireland et al., Nature, 2025), our work integrates advanced computational and experimental approaches to define how tumors evolve under therapeutic pressure.
This position offers the opportunity to work at the interface of cancer biology, genomics, and data science, leveraging large-scale datasets from genetically engineered mouse models, organoid systems, and human tumor specimens. The successful candidate will play a central role in analyzing and integrating single-cell, spatial transcriptomic, and multi-omic datasets to uncover new biological insights and therapeutic vulnerabilities.
Minimum Requirements:
  • PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field (or MS with substantial relevant experience)
  • Strong programming skills (e.g., Python, R, or equivalent)
  • Experience analyzing high-dimensional genomic data, particularly RNA-seq or single-cell datasets
  • Demonstrated ability to work independently and flexibly manage multiple projects
  • Strong communication skills and ability to collaborate in a team-oriented environment

Preferred Qualifications:
  • Experience with single-cell and/or spatial transcriptomics analysis
  • Familiarity with multi-omics data integration
  • Experience applying machine learning or statistical modeling to biological datasets
  • Experience working in cancer biology or related biomedical fields
  • Experience with high-performance computing environments and reproducible workflows

Be Bold.
  • Lead and contribute to the analysis of single-cell RNA-seq, spatial transcriptomics, and multi-omic datasets from mouse and human cancer models
  • Develop and implement computational pipelines for large-scale genomic data analysis and integration
  • Apply statistical and machine learning approaches to identify cell states, lineage relationships, and mechanisms of therapy resistance
  • Collaborate closely with experimental biologists to design analyses, interpret results, and guide hypothesis generation
  • Contribute to manuscript preparation, grant applications, and presentation of findings at scientific meetings
  • Mentor trainees and contribute to a collaborative and interdisciplinary research environment

Choose Duke.
  • Work on cutting-edge questions in cancer biology with direct relevance to therapy resistance and precision medicine
  • Access to rich, multi-modal datasets from state-of-the-art experimental systems and human tumors
  • Collaborative, interdisciplinary environment integrating computational and experimental approaches
  • Strong track record of high-impact publications and career development for trainees

Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $94,156.00 to USD $150,733.00. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.
Your total compensation goesbeyond the dollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/
Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender,gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy- related conditions), sexual orientation, or military status.
Duke aspires to create a community built oncollaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS@duke.edu; phone: 919-668-1267).

What Duke University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Duke University logo

About Duke University

Sourced by ZipRecruiter

Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US