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Biotech Data Science Jobs (NOW HIRING)

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

Data Scientist

California, MO · On-site

$90 - $130/hr

Experience applying data science, analytics, or statistical methods to solve business problems ... Experience in biotechnology, pharmaceuticals, manufacturing, or other regulated industries is ...

Bachelor's degree in Data Science, Computer Science, Data Engineering, Bioinformatics, Biochemistry, Biotechnology, Engineering or a related field. * At least five years of experience in data science ...

Data Scientist

Juncos, PR · On-site

$90 - $120/hr

Leading, using and developing data science, machine learning, and artificial intelligence ... Biotech / Pharma experience At Validation & Engineering Group, people always come first. We believe ...

... Biotechnology, Chemical, Food, and Medical Devices industries in the following areas: Laboratory ... FUNCTIONS 1. Leading, using and developing data science, machine learning, and artificial ...

... Biotechnology, Chemical, Food, and Medical Devices industries in the following areas: Laboratory ... FUNCTIONS 1. Leading, using and developing data science, machine learning, and artificial ...

$194K - $305K/yr

... biotech or academic setting.Required Experience and Skills:Extensive experience applying ... Science, Genomic Data Analysis, Machine Learning (ML), Multimodal, Multimodal Analysis ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Significant experience in data science, advanced analytics, biostatistics, or quantitative strategy within CRO, pharmaceutical, biotechnology, healthcare, or clinical research settings. * Track ...

Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to align deliverables with deployment milestones. * Maintain IP & data stewardship practices consistent ...

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

$159K - $251K/yr

... 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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Biotech Data Science information

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$37.5K

$122.7K

$196.5K

How much do biotech data science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for biotech data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.

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What cities are hiring for Biotech Data Science jobs?

Cities with the most Biotech Data Science job openings:

What are the most commonly searched types of Biotech Data Science jobs?

The most popular types of Biotech Data Science jobs are:

What states have the most Biotech Data Science jobs?

States with the most job openings for Biotech Data Science jobs include:

Infographic showing various Biotech Data Science job openings in the United States as of August 2026, with employment types broken down into 49% Full Time, 13% Part Time, 13% Temporary, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Director, Data Science

Formation Bio

Boston, MA • On-site

$235K - $307K/yr

Full-time

Re-posted 8 days ago


Job description

About Formation Bio
Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development.
Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others.
You can read more at the following links:
  • Our Vision for AI in Pharma
  • Our Current Drug Portfolio
  • Our Technology & Platform

At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently.
About the Position
As the Director of Data Science at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable insights. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives.
Responsibilities
  • Lead and execute complex data science projects that directly advance our drug development portfolio
  • Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
  • Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints
  • Aid in the development and training of AI agents to automate and optimize biomedical workflows
  • Collaborate cross-functionally with clinical, technical, and research teams
  • Present complex analytical findings to senior stakeholders, including executive leadership

About You
Required Qualifications
  • PhD in computational sciences or life sciences
  • 7+ years of post-academic experience in life sciences (biotech, pharma, consulting)
  • Strong programming skills, particularly in Python
  • Extensive experience in multi-modal bioinformatics analysis

Preferred Qualifications
  • Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases
  • Strong background in machine learning and deep learning, particularly in biological applications
  • Experience with large language models (LLM)
  • Demonstrated ability to collaborate effectively with engineering teams on production systems
  • Strong communication skills with proven ability to present complex technical findings to senior stakeholders

Total Compensation Range:$235,000 - $307,000
Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!
Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate
Equal Opportunity Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law.