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Spatial Transcriptomics Omics Jobs (NOW HIRING)

... spatial transcriptomics datasets. * Develop and implement bioinformatics pipelines for variant calling, structural variant detection, transcriptome profiling, and integrative multi-omics analyses.

Experience in multi-omics analyses and integration (including RNA-seq, ATAC-seq - bulk, single cell - spatial transcriptomics, proteomics, metabolomics, ChIP-seq and similar, long read RNA-seq, small ...

$124.96K - $187.44K/yr

... Transcriptomics), analyzing single or multiple omics layers to generate novel insights into disease ... spatial omics analysis is advantageous Outstanding interpersonal and communication skills with ...

Bioinformatician II

Durham, NC ยท 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 ...

Associate Scientist

Farmington, CT ยท On-site

$69.71K - $90.62K/yr

The Associate Scientist will serve as the platform lead for Xenium spatial transcriptomics projects ... omics, spatial omics, and high-content screening. This role is central to the lab's spatial ...

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 ...

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Spatial Transcriptomics Omics information

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$49K

$203.5K

$400K

How much do spatial transcriptomics omics jobs pay per year?

As of Jun 1, 2026, the average yearly pay for spatial transcriptomics omics in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Spatial Transcriptomics Specialist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with high-throughput sequencing platforms, spatial omics technologies, and data analysis tools like R or Python is essential, along with experience using laboratory automation systems. Attention to detail, problem-solving abilities, and effective interdisciplinary communication are crucial soft skills for this role. These skills ensure accurate experimental design, robust data interpretation, and successful collaboration in cutting-edge biological research.

What are some common challenges faced by professionals in Spatial Transcriptomics Omics, and how can they be addressed?

Professionals working in Spatial Transcriptomics Omics often encounter challenges such as managing and interpreting large, complex datasets, integrating multi-omics data, and keeping pace with rapidly evolving technologies. Effective collaboration with bioinformaticians, pathologists, and laboratory technicians is essential to ensure high-quality results. Staying updated with the latest analytical tools and participating in cross-disciplinary training can help overcome these challenges and enhance both research quality and career growth.

What is spatial transcriptomics in omics research?

Spatial transcriptomics is a cutting-edge technology in the field of omics that allows researchers to measure and map gene expression within the spatial context of intact tissue sections. This means scientists can see which genes are active in specific locations of a tissue, preserving the spatial relationships between cells. By combining spatial information with transcriptomic data, researchers gain deeper insights into tissue organization, cellular interactions, and disease mechanisms. This approach is especially valuable for understanding complex tissues like tumors or brain structures.

What is the difference between Spatial Transcriptomics Omics vs Spatial Transcriptomics Technician?

AspectSpatial Transcriptomics OmicsSpatial Transcriptomics Technician
Required CredentialsAdvanced degrees (Master's/PhD) in molecular biology, genomics, or related fieldsAssociate's or Bachelor's degree in biology, biotechnology, or related fields
Work EnvironmentResearch labs, biotech companies, academic institutionsLaboratories, research facilities, biotech companies
Industry UsageResearch and development, data analysis, method developmentSample preparation, data collection, equipment operation

Spatial Transcriptomics Omics professionals focus on data analysis, method development, and research, often requiring advanced degrees. In contrast, Spatial Transcriptomics Technicians handle sample preparation and operate equipment, typically with a technical diploma or bachelor's degree. Both roles are essential in the spatial transcriptomics industry but differ in responsibilities and qualifications.

More about Spatial Transcriptomics Omics jobs
What cities are hiring for Spatial Transcriptomics Omics jobs? Cities with the most Spatial Transcriptomics Omics job openings:
What states have the most Spatial Transcriptomics Omics jobs? States with the most job openings for Spatial Transcriptomics Omics jobs include:
Infographic showing various Spatial Transcriptomics Omics job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, 1% Part Time, 1% Contract, and 5% Nights. Highlights an 68% Physical, 30% Hybrid, and 2% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.
Director, Computational Biology

Director, Computational Biology

Ionis Pharmaceuticals

Boston, MA โ€ข On-site, Remote

Full-time

Posted 14 hours ago


Job description

Headquartered in Carlsbad, California, and with offices in Boston, Massachusetts, and Dublin, Ireland, Ionis has been at work for more than three decades discovering medical breakthroughs that have redefined life for people with serious diseases. Weโ€™re pioneers in RNA-targeted medicines, and our platform continues to revolutionize drug discovery and transform lives for patients with unmet needs.ย  With multiple marketed medicines and a leading pipeline in neurology, cardiology and select areas of high patient needs, we continue to drive innovation in RNA therapies in addition to advancing new approaches in gene editing to provide greater value to patients and are well positioned financially to deliver on our strategic goals.

At Ionis, we pride ourselves on cultivating a challenging, motivating and rewarding environment that fosters innovation and scientific excellence. We know that our success is a direct result of the exceptional talents and dedication of our employees.ย 

With an unprecedented opportunity to change the course of human health, we look to add diverse individuals, skill sets and perspectives to our exceptional team. We continue to invest time, money and energy into making our onsite, hybrid and remote work environments a place where solid and lasting relationships are built and where our culture and employees can thrive.ย 

Weโ€™re building on our rich history, and we believe our greatest achievements are ahead of us. If youโ€™re passionate about the opportunity to have meaningful impact on patients in need, we invite you to apply and join us. Experience and contribute to our unique culture while you develop and expand your career!

DIRECTOR, COMPUTATIONAL BIOLOGY

SUMMARY:

We are seeking an exceptional computational biologist to lead target identification and multi-omics research efforts. In this role, you will drive the use of high-throughput, transcriptomics, epigenomics, proteomics, and functional genomics data to identify and prioritize novel therapeutic targets. You will bring a strategic, industry-wide perspective on the field โ€” staying ahead of where it is moving and translating that into a differentiated approach which will align with Ionis's RNA-targeting and oligonucleotide platforms. You will lead a team of computational biologists, shape analytical strategy, and partner tightly with biology, human genetics, and drug discovery colleagues to bring forward the next wave of therapeutic targets.

RESPONSIBILITIES:

  • Lead the development of a target identification and prioritization pipeline using multi-omics data (transcriptomics, proteomics, metabolomics, chromatin conformation, and functional genomics โ€“ e.g. CRISPR screens).
  • Define internal standards for validation of target discovery methods, including benchmarking against orthogonal datasets.
  • Apply rigorous model-to-human translation, evaluating cross-species conservation, model fidelity, and translational risk when nominating and de-risking targets.
  • Partner with the Human Genetics group to integrate genetic evidence into target identification and prioritization.
  • Propose targets with clear mechanistic hypotheses, building evidence packages that draw on orthogonal data and analyses.
  • Assess data quality, batch effects, and biological confounders throughout the analytical cycle โ€“ statistical rigor and reproducibility are paramount.
  • Develop and maintain scalable, reproducible analytical pipelines, including human-in-the-loop-AI workflow as required. Use best practices in software engineering and ensure appropriate data governance and infrastructure for large-scale omics data.
  • Lead or contribute to cross-functional target assessment documents and portfolio decision-making meetings with clear, evidence-based scientific recommendations.
  • Lead a team of computational biologists fostering a culture of scientific rigor, reproducibility, and continuous learning.
  • Maintain working knowledge of the current literature on computational biology and stay current with novel methodologies, including applicable advances in AI.

REQUIREMENTS:ย 

  • PhD in computational biology, bioinformatics, genomics, systems biology, or a closely related quantitative field and 8+ years of relevant experience required.
  • Proven experience in target identification and validation using multi-omics approaches in a pharma or biotech.
  • Experience in multi-omics analyses and integration (including RNA-seq, ATAC-seq โ€“ bulk, single cell โ€“ spatial transcriptomics, proteomics, metabolomics, ChIP-seq and similar, long read RNA-seq, small RNA-seq, and functional genomics perturbation screens).
  • Methodological breadth across comp-bio modeling spectrum โ€“ classical and hierarchical statistics, causal inference, Bayesian modeling, network-based and mechanistic approaches, and modern deep learning โ€“ with hands-on depth in biological foundation models (fine-tuning, interpretability, efficient deployment) and the judgment to match method to biological question and data.
  • Proficiency in Python and/or R, plus working knowledge of Bash and Docker is required, proficiency or familiarity with Nextflow workflows and AWS cloud stack strongly preferred.
  • Knowledge of human genetic analyses methods (e.g. GWAS, rare variant analyses, QTL colocalization etc.) is preferred.
  • Experience directly managing PhD-level scientists is required.
  • Excellent communication skills across audiences, with a track record of influencing cross-functional teams (including non-computational partners) and translating complex computational findings into clear, actionable recommendations that inform senior leadership on portfolio and target decisions.

Please visit our website, http://www.ionis.com for more information about Ionis and to apply for this position; reference requisition # IONIS004015

Ionis offers an excellent benefits package! Follow this link for more details: Ionis Benefits

Full Benefits Link: https://ionis.com/careers#:~:text=Highly%20competitive%20benefits

The pay scale for this position is $200,385 to $250,332

NO PHONE CALLS PLEASE. PRINCIPALS ONLY.

Ionis Pharmaceuticals, Inc. and all its subsidiaries are proud to be EEO employers.