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Biotech Data Science Jobs in Wayland, MA (NOW HIRING)

... biotech environment where no two weeks look the same. RESPONSIBILITIES AI Enablement & Cross ... Master's degree or above in Data Science, Computer Science, Bioinformatics, Computational Biology ...

... biotech environment where no two weeks look the same. RESPONSIBILITIES AI Enablement & Cross ... Master's degree or above in Data Science, Computer Science, Bioinformatics, Computational Biology ...

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ... As a mid-sized biotechnology company, we provide the stability and resources of a well-established ...

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... sciences (biotech, pharma, consulting) * Strong programming skills, particularly in Python

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... sciences (biotech, pharma, consulting) * Strong programming skills, particularly in Python

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... sciences (biotech, pharma, consulting) * Strong programming skills, particularly in Python

... biotech or academic setting. Required Experience and Skills * Demonstrated expertise in the ... Cancer Biology, Computational Biology, Data Analysis, Data Mining, Data Science, Genomic Data ...

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Showing results 1-20

Biotech Data Science information

See Wayland, MA salary details

$43.1K

$141.1K

$225.9K

How much do biotech data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for biotech data science in Wayland, MA is $141,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $156,400.00 per year, depending on experience, location, and employer.

What is a biotech data science?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are the key skills and qualifications needed to thrive in biotech data science, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What are the most common challenges faced by professionals in biotech data science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What cities near Wayland, MA are hiring for Biotech Data Science jobs?

Cities near Wayland, MA with the most Biotech Data Science job openings:

Infographic showing various Biotech Data Science job openings in Wayland, MA as of August 2026, with employment types broken down into 55% Full Time, 13% Part Time, 10% Temporary, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $141,131 per year, or $67.9 per hour.

Director, AI and Data Science

Triveni Bio

Watertown, MA • On-site

$240K - $255K/yr

Full-time

Posted 4 days ago


Job description

COMPANY INTRODUCTION
Triveni Bio is breaking new ground in the identification of novel disease targets - working at the convergence of human genetics, best-in-class antibody design, and precision medicine. We are pioneering a Mendelian genetics-informed precision medicine approach to develop functional antibodies for the treatment of immunological and inflammatory (I&I) disorders. Our lead antibody program (TRIV-509) targets kallikreins 5 and 7 (KLK5/7) to directly impact skin barrier function, inflammation, and itch - providing a meaningful and much needed potential treatment option for patients with atopic dermatitis and other barrier disorders. In all the work we do, we adhere to our core values: patient impact, bold and rigorous science, open collaboration, kindness & respect.
SUMMARY
We are looking for a versatile Director, AI & Data Science to join our growing Data Science team. This is a high-visibility role, working closely with the Head of Data Science, that sits at the intersection of enterprise AI enablement and hands-on scientific data analysis. You will spend half of your time engaging cross-functional stakeholders, including Translational Medicine, Biostats, Finance, Business Development, and others, to understand their workflows, identify automation and AI opportunities, and deliver tailored solutions. The remaining half will be dedicated to hands-on research and clinical data science work, personally running the analyses and building the pipelines.
This is an ideal role for someone who is equally comfortable conducting a stakeholder discovery session as they are writing a Python script, and who thrives in a fast-paced biotech environment where no two weeks look the same.
RESPONSIBILITIES
AI Enablement & Cross-Functional Solutions
  • Partner with leaders across multiple functions to gather requirements, understand pain points, and identify high-impact AI/automation use cases
  • Translate business requirements into reproducible, script-based solution designs, from automated data workflows to LLM-augmented tools
  • Prototype, evaluate, build, and deploy AI-assisted solutions as reproducible scripts and pipelines (not just chatbot interactions), tailored to each function's needs
  • Develop and maintain an AI use-case roadmap tracking opportunities, feasibility, and impact across the organization
  • Support the company-wide rollout of AI collaboration tools (e.g., Google Gemini, ChatGPT, Claude), including training, best practices, and governance
  • Create documentation, SOPs, and lightweight training materials to drive adoption and self-sufficiency within each function
  • Track adoption metrics and user feedback to iterate on deployed solutions

Human Genetics, Bioinformatics & Translational Research
  • Lead human genetics analyses, including human genetics scoring, variant interpretation, and genotype-phenotype association studies
  • Drive real-world evidence (RWE) data curation and analysis using platforms such as TriNetX, All of Us, and UK Biobank
  • Build and own bioinformatics workflows (e.g., sequencing data analysis, proteomics/transcriptomics expression profiling, biomarker analysis)
  • Partner with Biometrics and Clinical Development to support clinical and biomarker data analyses across ongoing trials (e.g., exploratory, biomarker, and post-hoc analyses)
  • Partner with the research team to deliver data visualization, reporting, and exploratory analyses that inform target and program decisions

EXPERIENCE & QUALIFICATIONS
  • Master's degree or above in Data Science, Computer Science, Bioinformatics, Computational Biology, or a related quantitative field with 5 years of relevant experience in data science, analytics, or AI/ML, preferably in biotech, pharma, or healthcare
  • Proficient in Python and/or R
  • Hands-on experience with LLMs / generative AI tools (prompt engineering, API integration, or building AI-powered workflows) and experience with enterprise AI platforms
  • Familiarity with cloud platforms (AWS, GCP) and data infrastructure and high dimensional data
  • Exposure to bioinformatics tools and pipelines (e.g., Omics analysis, variant calling) and statistical human genetics methods (e.g., GWAS/PheWAS, fine-mapping, colocalization, Mendelian randomization, and rare-variant/burden testing)
  • Experience building internal tools or dashboards (e.g., Streamlit, R-Shiny, web apps)
  • Strong interpersonal skills; comfortable working with diverse teams across functions (Finance, Clinical, BD, Research) and engaging stakeholders at all levels, from bench scientists to senior leaders
  • Self-starter mindset: Comfortable with ambiguity; able to independently scope, prioritize, and deliver in a lean team environment
  • Understanding of AI governance, data privacy, and safe AI practices in regulated industries desired

$240,000 - $255,000 a year
The posted range reflects the current reasonable and good faith estimate of the base salary for this full-time position. Actual compensation will be based on a variety of factors including, but not limited to, relevant skills and experience, educational background and certifications, performance and qualifications, market demand for the role, geographic location and other organizational needs. This role also offers a competitive target bonus, equity, and a comprehensive benefits package.
We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Please note that the advertised pay range is not a guarantee or promise of a specific wage.
Triveni Bio, along with other biotech companies, has become aware of a surge in email scams targeting prospective job candidates within our industry. Official Triveni Bio applications will always be submitted through Lever, our ATS. Any applications that take you to other platforms could be fraudulent. We do not use text or chat applications to conduct interviews or make job offers. Official Triveni Bio correspondence will always be conducted from email addresses ending in @triveni.bio or @hire.lever.co. Please disregard any other communications that do not originate from these domain names. If you receive any suspicious requests or communications, please verify their authenticity before responding.