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

PhaseV

Senior Data Scientist

Cambridge, MA · On-site

Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is ... Experience in healthcare or biotech industry * Experience with large-scale data processing What We ...

Amgen Inc. (IR)

Data Scientist

Cambridge, MA · On-site

$114 - $133/hr

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Our award‑winning culture is collaborative, innovative, and science based. If you have a passion ...

New

Amgen

Data Scientist

Cambridge, MA · On-site +1

$114K - $133K/yr

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Our award-winning culture is collaborative, innovative, and science based. If you have a passion ...

Amgen

Data Scientist

Cambridge, MA · On-site +1

$114K - $133K/yr

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Our award-winning culture is collaborative, innovative, and science based. If you have a passion ...

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All JobsBiotech Data Science JobsBiotech Data Science Jobs in Wayland, MA

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:

Biotech Data Science jobs near you
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.

Senior Data Scientist

PhaseV

Cambridge, MA • On-site

Full-time

Re-posted 4 days ago

Job description

Company Overview:
PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotechs, we are poised to make a significant impact on how drugs are developed and brought to market.
Position Overview:
We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will have a strong foundation in machine learning and statistics with an interest in causal inference. A couple of recent preprints we've released to get a sense of the challenges:
  • Causal Responder Detection (https://arxiv.org/abs/2406.17571)
  • Robust CATE Estimation Using Novel Ensemble Methods. (https://arxiv.org/abs/2407.03690)

Key Responsibilities:
Technical Development:
  • Implement and optimize ML algorithms, with a focus on causal ML applications in clinical trials
  • Collaborate with senior data scientists to develop and improve our analytical platforms
  • Work alongside clinical and biological experts to translate complex problems into technical solutions

Research & Analysis:
  • Conduct rigorous statistical analyses of both randomized and observational data
  • Develop and validate methods for responder identification and treatment effect estimation
  • Document and present methodologies and results for internal and external stakeholders

Collaboration:
  • Work cross-functionally with engineering and product teams
  • Contribute to technical discussions and peer code reviews
  • Support the preparation of technical documentation and research papers

Qualifications:
Education:
  • Master's in Computer Science, Statistics, Data Science, Engineering or a related field
  • Ph.D. is an advantage but not required

Experience:
  • 3+ years of experience in data science or machine learning roles
  • Experience with ML in a practical research or industry setting
  • Background in statistical modeling and analysis

Skills:
  • Strong programming skills in Python (R in addition - an advantage)
  • Proficiency in statistical analysis and machine learning
  • Experience with data visualization and communication of technical concepts
  • Strong analytical and problem-solving skills

Preferred:
  • Familiarity with causal inference concepts
  • Experience in healthcare or biotech industry
  • Experience with large-scale data processing

What We Offer:
  • Join us on a mission to bring more effective drugs to more patients.
  • The opportunity to work with an amazing team passionate about making a real-world impact.
  • Extremely hard and diverse problem setting, in which the team is pushing the envelope.
  • A collaborative and dynamic startup environment.
  • Professional growth and development opportunities.

Apply