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Data Scientist Biotechnology Jobs (NOW HIRING)

Data Scientist

Santa Cruz, CA ยท On-site

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Data Scientist

Santa Cruz, CA ยท Remote

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Data Scientist (CD&A) What you will do Let's do this. Let's change the world. In this vital role as ...

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Data Scientist (CD&A) What you will do Let's do this. Let's change the world. In this vital role as ...

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

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

Senior Data Scientist

New York, NY ยท Hybrid

$177K - $232K/yr

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

This role blends advanced technical skills in Data Science-covering statistics, Modelling, AI/ML-with deep domain expertise in highly regulated Biotech industry. These should be complemented by soft ...

This role blends advanced technical skills in Data Science-covering statistics, Modelling, AI/ML-with deep domain expertise in highly regulated Biotech industry. These should be complemented by soft ...

... biotech, pharma, or regulated environments (GxP) Background in bioinformatics, computational biology, or process engineering Experience applying data science in manufacturing or supply chain ...

Exposure to biotech, pharmaceutical, or other GxP-regulated environments * Experience in bioinformatics, computational biology, or process engineering preferred * Experience applying data science in ...

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

Principal Data Scientist

Gaithersburg, MD ยท On-site

$175K - $215K/yr

... and biotech companies make better, faster decisions across the drug development lifecycle ... BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in ...

Data Scientist

$74K - $111K/yr

... life sciences, diagnostics and biotechnology? At Phenomenex, one of Danaher's 15+ operating ... The Data Scientist is responsible for developing and applying statistical, machine learning, and ...

Data Scientist

OR ยท On-site +1

$74K - $111K/yr

... life sciences, diagnostics and biotechnology? At Phenomenex, one of Danaher's 15+ operating ... The Data Scientist is responsible for developing and applying statistical, machine learning, and ...

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Data Scientist Biotechnology information

See salary details

$46K

$165K

$243.5K

How much do data scientist biotechnology jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data scientist biotechnology in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a Data Scientist in Biotechnology do?

A Data Scientist in Biotechnology leverages large sets of biological and clinical data to extract meaningful insights that can drive research, drug development, and innovation in the life sciences. They use statistical analysis, machine learning, and data visualization techniques to analyze complex datasets such as genomics, proteomics, or clinical trial data. Their work helps identify patterns, make predictions, and accelerate scientific discoveries, ultimately contributing to advancements in healthcare and biotechnology products.

What is the difference between Data Scientist Biotechnology vs Data Analyst Biotechnology?

AspectData Scientist BiotechnologyData Analyst Biotechnology
Required CredentialsBachelor's/Master's in Data Science, Bioinformatics, or related fields; programming skillsBachelor's in Data Analysis, Statistics, or related fields; basic programming skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsBiotech firms, research institutions, healthcare companies
Employer & Industry UsageUsed for developing predictive models, complex data analysis, machine learningUsed for data reporting, visualization, basic statistical analysis

Data Scientist Biotechnology roles focus on advanced analytics, machine learning, and predictive modeling, requiring stronger technical skills and higher education. Data Analysts perform more routine data processing and reporting tasks. Both roles are vital in biotech but differ in complexity and scope.

How do Data Scientists in biotechnology typically collaborate with laboratory researchers and other cross-functional teams?

Data Scientists in biotechnology often work closely with laboratory researchers, bioinformaticians, and product development teams. They translate complex biological data into actionable insights, requiring frequent communication to understand experimental designs and data requirements. Collaboration often includes joint meetings, data review sessions, and iterative feedback to ensure analytical models address real-world scientific questions. This interdisciplinary teamwork is crucial for advancing research outcomes and developing new biotechnological solutions.

What are the key skills and qualifications needed to thrive as a Data Scientist in Biotechnology, and why are they important?

To excel as a Data Scientist in Biotechnology, you need a strong background in statistics, machine learning, and biological sciences, often supported by an advanced degree in a related field. Familiarity with programming languages like Python or R, bioinformatics tools, and platforms such as TensorFlow or Bioconductor is highly valuable. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating complex data into actionable insights for multidisciplinary teams. These skills enable the accurate analysis of biological data, drive innovation, and support decision-making in research and product development.
More about Data Scientist Biotechnology jobs
What cities are hiring for Data Scientist Biotechnology jobs? Cities with the most Data Scientist Biotechnology job openings:
What states have the most Data Scientist Biotechnology jobs? States with the most job openings for Data Scientist Biotechnology jobs include:
Infographic showing various Data Scientist Biotechnology job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

$130K - $170K/yr

Full-time

Posted 24 days ago


Job description

Description
Fullpowerยฎ-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 135+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services.
Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in working on our next generation of products and algorithms and modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes.
The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications.
Job Responsibilities:
  • Work with health data and time-series sensor data
  • Connect biomedical sensor data with medical, health, and fitness outcomes
  • Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking
  • Develop visualizations and tools for understanding and annotating data
  • Optimize algorithms for running on embedded devices and in the cloud
  • Design and run experiments and clinical trials
  • Processing, cleaning, and combining different data sources to create new datasets
  • Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions

Software skills:
  • Expertise in Python and packages such as numpy, pandas, scikit-learn
  • Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent
  • Experience working with databases including familiarity with SQL
  • Experience with Amazon Web Services (AWS) or Google Cloud
  • Experience with C++ is a plus

Leadership qualities:
  • Self starter
  • Strong interpersonal and communication skills

Education and Experience:
  • Experience applying data science and machine learning to real-world problems
  • Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent
  • Graduate degree and/or 5+ years experience a plus

Additional Information:
  • Fullpower does not sponsor work visas - must already be authorized to work in the United States
  • The base salary range for this full-time position is $130,000 to $170,000, plus equity, plus benefits. Fullpower's salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education and training.