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Transcriptomics Jobs in Maryland (NOW HIRING)

They are establishing Illumina as the pre-eminent genomics, transcriptomics and multi-omics cloud-based and local solutions provider to the Research, Clinical, Pharma, Population Genomics and Health ...

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

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Transcriptomics information

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 does transcriptomics do?

Transcriptomics is a field within molecular biology that studies the complete set of RNA transcripts produced by a genome under specific conditions. Professionals in this area analyze gene expression patterns using tools like RNA sequencing to understand cellular functions and disease mechanisms.

What biology jobs pay over $100k?

In the field of transcriptomics, roles such as senior research scientist, bioinformatics director, and molecular biology manager often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, extensive experience, and skills in data analysis, programming, and laboratory techniques.

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 is the highest paying job in genetics?

In genetics, roles such as genetic counselors, research directors, and senior clinical geneticists tend to have the highest salaries, often exceeding six figures annually. Positions requiring advanced degrees, specialized skills, and leadership responsibilities typically offer the highest compensation in the field.

What is the highest paying job in bioinformatics?

In bioinformatics, senior roles such as bioinformatics directors, principal scientists, or lead data scientists tend to have the highest salaries, often exceeding $150,000 annually. These positions typically require advanced skills in programming, data analysis, and experience with large-scale genomic or transcriptomic data, along with leadership responsibilities.

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 cities in Maryland are hiring for Transcriptomics jobs? Cities in Maryland with the most Transcriptomics job openings:
Associate Director, Data Enablement

Associate Director, Data Enablement

AstraZeneca

Gaithersburg, MD • On-site

$121K - $182K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

18th of 74 rated pharmaceutical


Job description

The Oncology Data Science - Data, Analytics, and AI Platforms (ODSP) team comprises multiple groups across the Cambridge UK, Boston MA, Gaithersburg MD, and Munich DE sites. ODSP develops technology, software, and data infrastructure to advance our Oncology data science. Our vision is to evolve data science into a driver of innovation within Oncology. We do this by creating a strategic culture that values our data as a true business asset, organizing our data so that it's accessible and easy to find, integrated, and re-usable for Humans & AI, and building the best computational tools to support scientific decision making.

As a data product lead,you'lllead and drive the development of multi-omics data products which will serve as data foundation across our portfolio and will be used to influence portfolio and investment decisions. Working hand in hand with our data product consumers (data scientists, ML experts) and data producers,you'llhelp to shape data product strategy and priorities based on business value and user need.You'llwork closely together with software engineering teams to find novel ways to consume data through our tools and systems andyou'llbe the go-to person when it comes to questions and trainings on your data product and its consumption.You will report to the Director, Data Products, Ops & Governance and may be based in Gaithersburg, MD or Waltham, MA.

Responsibilities:
  • Develop the strategy for and build multi-omics data products/ data atlases in a FAIR way which supports AZ cross-project delivery

  • Plan and drive data curation-, integration, -management and operation efforts (coordination between scientists, engineers); conduct data quality control and normalization where needed

  • Lead small cross-functional teams and ensure successful product delivery

  • Work together with data engineers to automate data operations as much as possible

  • Quantitativelyobserveand control product usage, to quickly understand gaps and issues

  • Coordinate and streamline data transfer,exchangeand integration activities with our vendor network

  • Work with data product consumers (bioinformaticians, data scientists, scientists) to understand requirements, develop best practices in data wrangling/curation and storage of RWE data, and gather feedback

  • Develop documentation and training material

  • Identifyopportunities for training/ education and drive/ support development of training and communication material

Essential requirements
  • Master's degree in biology, bioinformatics, datascienceor related field; PhD preferred

  • At least 3 years Bioinformatics or relatedexperience

  • 3 years' experience indata science/management and or data centric project/alliance management and integration with data entity focus genomics, transcriptomics, proteomics

  • Understanding of the FAIR data principles and how to translate and implement requirements into a typical data flow

  • Great communicationand organization skills as well as stakeholder mgmt. experience

  • Experienced working within cross-functional teams, including business data owners/stewards and technical product developmentstaff

Desirable requirements

  • Experience with multimodal healthcare data

  • Experience with tools like JIRA, Confluence

The annual base pay for this position ranges from $121K to $182K. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

Date Posted

01-Jul-2026

Closing Date

14-Jul-2026

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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