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Computational Spatial Transcriptomics Jobs in Ashburn, VA

Bioinformatics Scientist

Bethesda, MD · On-site

$65K - $108K/yr

D. in Bioinformatics, Computational Biology, or a related discipline preferred. * Experience with Xenium and/or Visium spatial transcriptomics platforms is preferred. * Familiarity with adaptive ...

D. in Bioinformatics, Computational Biology, or a related discipline preferred. * Experience with Xenium and/or Visium spatial transcriptomics platforms is preferred. * Familiarity with adaptive ...

... the computational infrastructure that scientists depend on every day. You will support the full ... transcriptomics, Digital Spatial Profiling (DSP), whole genome and exome sequencing (WGS/WES ...

... the computational infrastructure that scientists depend on every day. You will support the full ... transcriptomics, Digital Spatial Profiling (DSP), whole genome and exome sequencing (WGS/WES ...

... the computational infrastructure that scientists depend on every day. You will support the full ... transcriptomics, Digital Spatial Profiling (DSP), whole genome and exome sequencing (WGS/WES ...

... spatial transcriptomics applications. Initiates interdisciplinary collaborations with other research centers. * Collaborate with experimentalists and computational biologists to develop new ...

Computational Spatial Transcriptomics information

See Ashburn, VA salary details

$41

$56

$75

How much do computational spatial transcriptomics jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for computational spatial transcriptomics in Ashburn, VA is $56.17, according to ZipRecruiter salary data. Most workers in this role earn between $47.93 and $75.24 per hour, depending on experience, location, and employer.

What are some typical challenges faced when working in computational spatial transcriptomics, and how can new team members prepare for them?

Professionals in computational spatial transcriptomics often encounter challenges related to handling and analyzing large, complex datasets that combine spatial and gene expression information. Integrating data from different technologies and ensuring data quality can be demanding, requiring strong programming skills and familiarity with bioinformatics pipelines. New team members can prepare by strengthening their skills in statistical analysis, programming languages like Python or R, and staying updated on the latest spatial transcriptomics techniques. Collaborating closely with experimental biologists and data scientists is also key to overcoming these challenges and driving successful research outcomes.

What is the difference between Computational Spatial Transcriptomics vs Computational Biologist?

AspectComputational Spatial TranscriptomicsComputational Biologist
Required CredentialsAdvanced degrees in bioinformatics, computational biology, or related fields; experience with spatial data analysisTypically a PhD or Master's in biology, bioinformatics, or related disciplines; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic institutions focusing on spatial genomicsResearch institutions, biotech firms, academia working on biological data analysis
Industry UsageSpecialized in spatial transcriptomics techniques and data interpretationBroad biological data analysis across various fields

Computational Spatial Transcriptomics focuses on analyzing spatial gene expression data within tissues, requiring specialized skills in spatial data processing. In contrast, Computational Biologists work on a wider range of biological data types. While both roles involve bioinformatics expertise, the former emphasizes spatial data analysis techniques specific to transcriptomics.

What is computational spatial transcriptomics?

Computational spatial transcriptomics is a field that combines advanced computational methods with spatial transcriptomics, a technique that measures gene expression within the physical context of tissue samples. It involves processing and analyzing large datasets to map where specific genes are active within tissues, helping researchers understand how cells interact and function in their native environments. This approach is crucial for studies in developmental biology, cancer research, and neuroscience, as it provides insights into cellular organization and tissue architecture. Computational tools help extract meaningful patterns from complex data, enabling discoveries that were previously impossible with traditional methods.

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

To excel in Computational Spatial Transcriptomics, you need a strong background in bioinformatics, genomics, and statistical data analysis, typically supported by advanced degrees in computational biology or related fields. Familiarity with programming languages (such as R and Python), spatial transcriptomics platforms (like 10x Genomics Visium), and high-throughput sequencing data analysis tools is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex datasets and collaborating with multidisciplinary teams. These competencies ensure accurate data interpretation, innovative research, and successful integration of spatial transcriptomics insights into biological and clinical applications.
What are popular job titles related to Computational Spatial Transcriptomics jobs in Ashburn, VA? For Computational Spatial Transcriptomics jobs in Ashburn, VA, the most frequently searched job titles are:
Bioinformatics Scientist

Bioinformatics Scientist

Guidehouse

Bethesda, MD • On-site

$65K - $108K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

36th of 58 rated business consultants


Job description

Job Family:
Scientist
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
We are looking for a Bioinformatics Scientist (Scientist V) in the IBIS Core to support the Vaccine Research Center (VRC) at NIAID through advanced computational biology and bioinformatics analysis. This position is a full-time position located in Bethesda, MD.
  • Implement and utilize workflows for next generation sequencing (NGS), including quality control (QC) and data analysis.
  • Initiate interdisciplinary collaborations with scientists from other organizations or institutions engaged in related research.
  • Provide scientific mentorship and guidance to students, postdoctoral fellows, technicians, and other staff in developing bioinformatics pipelines, particularly for spatial transcriptomics applications.
  • Provide programming and troubleshooting support to the Federal Government in the dissemination of research data.
  • Perform computational analysis of research datasets and identify trends and patterns.
  • Collaborate with multidisciplinary teams to design, analyze, manage, and interpret complex biological data.
  • Maintain detailed documentation of analyses and present results at laboratory meetings.
  • Develop novel computational programs and algorithms to facilitate discovery in large and complex datasets.
  • Evaluate and adapt bioinformatics techniques based on scientific literature, available resources, and research objectives.
  • Collaborate with experimentalists and computational scientists to develop new computational tools for scientific discovery.
  • Independently coordinate training of personnel on scientific, statistical, and programmatic software applications.
  • Present research findings at internal meetings, conferences, and seminars; contribute to scientific publications.
  • Attend scientific and programming meetings and maintain organized records of findings and discussions.

What You Will Need:
  • Master's Degree in Bioinformatics, Computational Biology, or a related discipline.
  • A minimum of TWO (2) years of experience working with large, multimodal single-cell datasets.
  • Proficiency in Python and R programming languages.
  • Practical knowledge of and experience working with SLURM-managed high-performance computing (HPC) clusters.
  • Strong analytical, statistical, and problem-solving skills.
  • Experience with next generation sequencing (NGS) workflows and data analysis.
  • Ability to collaborate effectively in a multidisciplinary research environment.
  • Strong written and verbal communication skills, including presentation of scientific data.
  • Must be able to obtain and maintain a Federal or DoD "public trust"; candidates must receive approved adjudication prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred.

What Would Be Nice To Have:
  • Ph.D. in Bioinformatics, Computational Biology, or a related discipline preferred.
  • Experience with Xenium and/or Visium spatial transcriptomics platforms is preferred.
  • Familiarity with adaptive immune receptor repertoires and general immunology are beneficial.

The annual salary range for this position is $65,000.00-$108,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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