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Transcriptomics Jobs in Washington (NOW HIRING)

Perform spatial transcriptomics using 10x Visium or similar technologies. * Sample processing and Biobanking. * Keep detailed records of experimental procedures. Qualifications: * Bachelor's degree ...

Genomics Technician

Rockville, MD ยท On-site

$80K - $90K/yr

Perform spatial transcriptomics using 10x Visium or similar technologies. * Sample processing and Biobanking. * Keep detailed records of experimental procedures. Qualifications: * Bachelor's degree ...

Genomics Technician

Rockville, MD ยท On-site

$80K - $90K/yr

Perform spatial transcriptomics using 10x Visium or similar technologies. * Sample processing and Biobanking. * Keep detailed records of experimental procedures. Qualifications: * Bachelor's degree ...

Provide scientific mentorship and guidance to students, postdoctoral fellows, technicians, and other staff in developing bioinformatics pipelines, particularly for spatial transcriptomics ...

Bioinformatics Scientist

Bethesda, MD ยท On-site

$65K - $108K/yr

Provide scientific mentorship and guidance to students, postdoctoral fellows, technicians, and other staff in developing bioinformatics pipelines, particularly for spatial transcriptomics ...

You will support the full omics data lifecycle across a broad spectrum of modalities, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP ...

We specialize in a range of NGS workflows, including genomics, transcriptomics, and targeted sequencing. We are seeking a detail-oriented and highly motivated Lab Technician to join our team. In this ...

We specialize in a range of NGS workflows, including genomics, transcriptomics, and targeted sequencing. We are seeking a detail-oriented and highly motivated Lab Technician to join our team. In this ...

What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.) * What life science disciplines do you have ...

What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.) * What life science disciplines do you have ...

What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.) * What life science disciplines do you have ...

Transcriptomics information

What is transcriptomics?

Transcriptomics is the study of the complete set of RNA transcripts produced by the genome under specific circumstances or in a specific cell. It provides insights into gene expression patterns, how genes are regulated, and how cells respond to various conditions. By analyzing the transcriptome, researchers can better understand biological processes, disease mechanisms, and identify potential targets for therapy. Technologies such as RNA sequencing (RNA-seq) are commonly used in transcriptomics research.

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

Professionals in transcriptomics frequently encounter challenges such as handling large and complex datasets, ensuring data quality, and staying current with rapidly evolving analytical tools and technologies. Working closely with bioinformaticians and statisticians is essential for effective data analysis and interpretation. Additionally, clear communication and collaboration with wet-lab biologists and clinicians help bridge the gap between raw data and meaningful biological insights. Regular training and professional development can help transcriptomics professionals stay updated with the latest best practices and software advancements.

What are the key skills and qualifications needed to thrive as a transcriptomics scientist, and why are they important?

To thrive as a Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with next-generation sequencing (NGS) platforms, RNA-seq analysis pipelines, and programming languages like R or Python is essential. Attention to detail, problem-solving abilities, and effective communication skills set outstanding candidates apart. These competencies are vital for generating accurate transcriptomic data, interpreting complex results, and collaborating within multidisciplinary research teams.

What is the difference between Transcriptomics vs Bioinformatics?

AspectTranscriptomicsBioinformatics
Required credentialsBachelor's or Master's in Biology, Genetics, or related fields; experience with sequencing technologiesBachelor's or Master's in Computer Science, Bioinformatics, or related fields; programming skills
Work environmentLaboratories, research institutions, biotech companiesResearch labs, biotech firms, academic institutions, data analysis centers
Industry usageGenomics, molecular biology, medical researchData analysis, software development, computational biology

While both Transcriptomics and Bioinformatics involve analyzing biological data, Transcriptomics focuses on studying gene expression profiles using sequencing technologies, whereas Bioinformatics encompasses a broader range of computational methods to analyze various biological datasets. Professionals in both fields often collaborate but have distinct skill sets and work environments.

What are popular job titles related to Transcriptomics jobs in Washington?

For Transcriptomics jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Transcriptomics jobs?

Cities in Washington with the most Transcriptomics job openings:

Infographic showing various Transcriptomics job openings in Washington as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Associate Director - Digital Proteomics and AI Innovation

Gaithersburg, MD โ€ข On-site

$140 - $200/hr

Other

Posted 7 days ago


Job description

Make a meaningful impactonpatientsโ€™ lives around theworld

At AstraZeneca, we are combining cutting edge science, data and artificial intelligence to transform how we discover and develop medicines. This role sits within the Centre for Genomics Research (CGR) and works in close collaboration with AstraZeneca Infectious Disease and Oncology, offering a unique opportunity to shape new digital and AI capabilities for the cancer vaccine space.

Based in CGR, you will sit at the intersection of mass spectrometry-based proteomics, immunopeptidomics and agentic AI โ€” building the data foundations and intelligent systems that allow scientists to explore high-throughput proteomics, HLA-peptidomics, neoantigen discovery, genetic sequencing, transcriptomics and emerging molecular assays as a connected whole. This is a handsโ€‘on technical role for someone who can combine deep proteomics expertise with the practical engineering judgement needed to design, deploy and scale AI systems that scientific users actually rely on.

What youโ€™ll do
  • Identify high-value workflow opportunities where agentic AI can transform how proteomic, peptidomic and multi-omic data are explored, integrated, interpreted and automated.
  • Design, build, deploy and iterate AI-enabled systems โ€” including agentic workflows โ€” that are usable, maintainable and integrated into real scientific practice.
  • Bring deep domain expertise in mass spectrometry, proteomics and peptidomics to shape data standards, analytical approaches and biological interpretation, with particular relevance to immunopeptidomics and neoantigenโ€‘centric workflows.
  • Drive integrative analysis across proteomics, peptidomics, sequencing, transcriptomics and experimental metadata to generate translational insight.
  • Partner within informaticians, data and mass spectrometry scientists within CGR, and collaborate closely with scientific stakeholders in AstraZeneca Infectious Disease and Oncology, to embed AI capabilities into scalable, governed analytical environments.
  • Contribute technical expertise to scientific discussions, sharing knowledge with colleagues and engaging with internal and external scientific communities.
Essential criteria
  • Advanced degree (PhD or equivalent experience) in proteomics, computational biology, bioinformatics, data science, biostatistics, computer science or a related discipline.
  • Deep expertise in mass spectrometry-based proteomics and peptidomics, including a working understanding of experimental design, data characteristics, limitations and interpretation challenges.
  • Strong handsโ€‘on data science and software delivery experience, with a track record of building, deploying and maintaining analytical or AIโ€‘enabled systems used by scientific teams.
  • Demonstrated experience developing agentic AI workflows or advanced AI systems for scientific data exploration, interpretation or workflow automation.
  • Proven ability to integrate and analyse multidimensional datasets spanning proteomics, peptidomics, sequencing, transcriptomics and associated metadata to generate biological insight.
  • Ability to operate as an independent, handsโ€‘on technical contributor โ€” combining scientific judgement with pragmatic engineering and delivery.
  • Excellent communication and collaboration skills, with a track record of translating complex scientific and technical concepts into solutions that scientific and technical users adopt.
Desirable criteria
  • Experience applying digital proteomics and AI-enabled approaches in oncology, immunology, cancer vaccines, immunopeptidomics or neoantigen discovery.
  • Experience designing data foundations, ontologies, harmonised analytical environments or reusable AI capabilities for large-scale scientific research.
  • Experience extending across additional omics modalities in partnership with domain specialists.
  • Track record of innovation evidenced through deployed tools, software products, open-source contributions, peerโ€‘reviewed publications or conference presentations in proteomics, peptidomics, AI or data science.
How we do it

At AstraZeneca, weโ€™re dedicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. Thereโ€™s no better place to make a difference in medicine, patients, and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth, and development.

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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