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Computational Spatial Transcriptomics Jobs in Boston, MA

... biomarker research, computational biology, statistical genetics, or related * 10+ years of ... spatial transcriptomics, methylation, imaging) * Credible as a thought partner with senior R&D ...

... biomarker research, computational biology, statistical genetics, or related * 10+ years of ... spatial transcriptomics, methylation, imaging) * Credible as a thought partner with senior R&D ...

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Computational Spatial Transcriptomics information

See Boston, MA salary details

$44

$59

$80

How much do computational spatial transcriptomics jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for computational spatial transcriptomics in Boston, MA is $59.67, according to ZipRecruiter salary data. Most workers in this role earn between $50.91 and $79.90 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 Boston, MA? For Computational Spatial Transcriptomics jobs in Boston, MA, the most frequently searched job titles are:
What cities near Boston, MA are hiring for Computational Spatial Transcriptomics jobs? Cities near Boston, MA with the most Computational Spatial Transcriptomics job openings:
Infographic showing various Computational Spatial Transcriptomics job openings in Boston, MA as of June 2026, with employment types broken down into 68% Full Time, 30% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $124,121 per year, or $59.7 per hour.

Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity and Related)

Amgen

Cambridge, MA

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago


Job description

Career CategoryScientificJob DescriptionJoin Amgen's Mission of Serving Patients

At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity and Related)What you will do

Let's do this. Let's change the world. The Computational Biology group in the Center for Technology and Innovation (CfTI) within the Precision Medicine organization at Amgen is seeking a highly motivated Computational Biologist with expertise in analyzing clinical biomarker data, including but not limited to metabolomics, genomics, transcriptomics, proteomics, spatial-omics, flow cytometry, immunoassays, and other biomarker assays. In this vital role, you will contribute to advancing Amgen's clinical programs and studies by integrating computational biology and bioinformatics techniques with biological and clinical data. The ideal candidate will have experience in matrixed environments, supporting therapeutic development by providing insights derived from clinical biomarker data. Support Amgen CVMet and OaR teams as a CompBio Therapeutic Area Lead and Global Biomarker Analysis Lead.

  • Develop biomarker analysis plans to support precision medicine, evidence generation and reverse translation during clinical development of therapeutic molecules.
  • Define and execute workflows for biomarker data analysis, integrating multiple omics, imaging and digital biomarkers, integrated with clinical metadata and outcomes
  • Lead the analysis and interpretation of clinical biomarker data from various assay platforms, including metabolomics, imaging, flow cytometry, immunoassays, transcriptomics, proteomics, and spatial omics.
  • Support the generation of evidence for target engagement evaluation, patient stratification, response prediction, indication selection, assay development, and diagnostic development.
  • Work closely with clinical scientists and biomarker leads, to extract biological insights from high-dimensional datasets and integrate them into translational analytics, precision medicine plans and clinical development plans.
  • Collaborate cross-functionally with early development teams, biostatistics, clinical pharmacology, precision medicine leads, clinical biomarker leads, and research teams to manage data integration, analysis, and presentation.
  • Support Amgen internal and external presentations with fit-for-purpose analysis insights and messaging and support the development of publications

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a leader with these qualifications.

Basic Qualifications:

Doctorate degree [and relevant post-doc where applicable] and 4 years of scientific experience

OR

Master's degree and 7 years of scientific experience

OR

Bachelor's degree and 9 years of scientific experience

Preferred Qualifications:

  • PhD in Bioinformatics, Mathematics, Computer Science, Computational Biology or Data Science, with a minor or robust background in Biology
  • A background in cardiovascular diseases, obesity and chronic weight management, and other metabolic diseases is highly preferred.
  • Hands-on experience in statistical modeling, machine learning, and AI applied to clinical biomarker and clinical efficacy data
  • A strong understanding and practical skills in statistics and their use in data analysis for clinical settings
  • Proven expertise in analyzing multi-modal, multi-dimensional, and large-scale biological data.
  • Prior experience working in a matrixed biotechnology or pharmaceutical setting. Proficiency in R and Python programming, with familiarity in various principles for data manipulation and visualization.
  • Familiarity with agentic frameworks and the ability to build agents for day-to-day tasks that can be automated
  • Strong understanding of platforms used in clinical biomarker research, including pathomics, cytomics, immunoassays, mass-spectrometry, other metabolomics platforms, next-generation sequencing (NGS), and proteomics
  • Knowledge of inflammatory, cardiovascular and metabolic diseases and how computational biology can drive drug discovery and development in these areas
  • Ability to translate biological and medical questions into analytical models providing actionable results
  • Excellent written and oral communication skills with the ability to present complex data analyses in diverse settings, including cross-functional team meetings, external collaborations, and scientific publications.
  • Strong project management skills and organizational awareness, self-motivation, independence, and leadership
What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.

The expected annual salary range for this role in South San Francisco is posted. The expected salary range outside of South San Francisco is $182,465 - 246,865. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
Apply now and make a lasting impact with the Amgen team.careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Amgen will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.

Salary Range

190,252.10USD -257,399.90USD