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Transcriptomics Jobs in Boston, MA (NOW HIRING)

Clinical Data Manager

Burlington, MA ยท On-site

$145K - $160K/yr

We combine cutting-edge technologies including optogenetics, in vivo physiology, and spatial transcriptomics to identify novel drug targets and develop effective therapies to address psychiatric ...

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Transcriptomics information

See Boston, MA salary details

$53.2K

$221K

$434.6K

How much do transcriptomics jobs pay per year?

As of Jul 16, 2026, the average yearly pay for transcriptomics in Boston, MA is $221,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $434,600.00 per year, depending on experience, location, and employer.

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.

Associate Director, Statistical Programming

Associate Director, Statistical Programming

MapLight Therapeutics

Burlington, MA โ€ข On-site

$195K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Who We Are: MapLight Therapeutics is a clinical stage biotech company that focuses on drug discovery for central nervous system disorders. We combine cutting-edge technologies including optogenetics, in vivo physiology, and spatial transcriptomics to identify novel drug targets and develop effective therapies to address psychiatric symptoms.
What You'll Do: Reporting to the Senior Director, Statistical Programming, the Associate Director will provide statistical and clinical data programming expertise to manage statistical programming activities that support drug development programs and regulatory submissions. This role involves overseeing the creation, validation, and delivery of programming deliverables, ensuring compliance with industry standards, and fostering cross-functional collaboration with biostatistics, data management, clinical, and regulatory teams.
Responsibilities:
  • Oversee the development and validation of SAS programs to generate datasets (SDTM, ADaM), tables, listings, and figures (TLFs) in compliance with CDISC standards.
  • Ensure the timely and high-quality delivery of programming outputs for regulatory submissions, clinical study reports, and exploratory analyses.
  • Ensure all programming activities align with industry standards (CDISC, ICH, FDA, EMA) and internal SOPs.
  • Programming lead for clinical programs as needed. Hand-on programming work in SAS and other programming languages/tools.
  • Establishes and maintains CRO/vendor partnerships.
  • Act as a liaison between statistical programming and other functions, ensuring clear communication and alignment of goals.
  • Partner with biostatistics, data management, and clinical operations to resolve programming issues and optimize processes.
  • Identify and implement new tools, techniques, and processes to improve efficiency and quality in statistical programming.

Qualifications:
  • Master's degree in statistics, computer science or a related field
  • At least 8 years of statistical programming experience in the pharmaceutical/biotech industry
  • Proven ability to manage CRO relationships and oversee programmed deliverables.
  • Extensive experience in leading statistical programming function for both early and late phase clinical trials, and regulatory submissions (NDA/BLA, MAA)
  • Excellent skills in SAS programming and statistical reporting, knowledge of R and R Shiny desirable
  • In-depth knowledge of CDISC standards for SDTM and ADaM and FDA electronic data submission requirements
  • Familiarity with FDA and ICH regulations and guidelines
  • Excellent written and verbal communication skills, ability to collaborate with a multidisciplinary team and interact effectively in a fast-paced team environment

Location: This is a hybrid role with three days per week in-office in Burlington, Massachusetts.
Compensation for this role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Additional compensation/benefits include annual bonus opportunity, medical, dental, vision, life and AD&D, short term and long term disability, 401(K) plan with match, stock options, flexible non-accrual paid time off, and parental leave.
Salary Range
$195,000-$225,000 USD
EEOC Statement: MapLight Therapeutics is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.