1

Data Scientist Biotechnology Jobs (NOW HIRING)

Senior Data Scientist

Boston, MA ยท On-site

$100 - $130/hr

We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will ... Experience in healthcare or biotech industry * Experience with large-scale data processing What We ...

Summary Elephas is a growing biotechnology company located in Madison, WI seeking a talented individual to join our team as a Senior Data Scientist. Applicants should be comfortable in a fast-paced ...

Senior Data Scientist

Madison, WI ยท On-site

$120 - $170/hr

Summary Elephas is a growing biotechnology company located in Madison, WI seeking a talented individual to join our team as a Senior Data Scientist. Applicants should be comfortable in a fast-paced ...

Principal / Senior Data Scientist

New York, NY ยท Remote

$175K - $255K/yr

You'll work at the intersection of AI, data science, and healthcare, helping biotech and pharma companies navigate patient access barriers and optimize commercial decisions. What You'll Do * Own the ...

You'll work at the intersection of AI, data science, and healthcare, helping biotech and pharma companies navigate patient access barriers and optimize commercial decisions. What You'll Do * Own the ...

Summary Elephas is a growing biotechnology company located in Madison, WI seeking a talented individual to join our team as a Senior Data Scientist. Applicants should be comfortable in a fast-paced ...

SUMMARY The Data Scientist will lead projects and collaborate with business partners including ... Biotech / Pharma experience **Weil Group is proud to be an Equal Employment Opportunity Employer.

Sr Data Scientist

Juncos, PR ยท On-site

$110 - $160/hr

SUMMARY The Data Scientist will lead projects and collaborate with business partners including ... Biotech / Pharma experience Weil Group is proud to be an Equal Employment Opportunity Employer. #J ...

SUMMARY The Data Scientist will lead projects and collaborate with business partners including ... Biotech / Pharma experience **Weil Group is proud to be an Equal Employment Opportunity Employer.

Senior Data Scientist

New York, NY ยท On-site

$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

Senior Data Scientist

Manhattan, NY ยท On-site

$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

The Senior Data Scientist will build machine learning-based tools and processes within the company ... biotechnology, consumer product, or medical device industries. * Required knowledge related to ...

The Senior Data Scientist will build machine learning-based tools and processes within the company ... biotechnology, consumer product, or medical device industries. * Required knowledge related to ...

Senior Data Scientist

Plainsboro, NJ ยท On-site

$120.30 - $222.60/hr

The Senior Data Scientist will build machine learning-based tools and processes within the company ... biotechnology, consumer product, or medical device industries. * Required knowledge related to ...

The Senior Data Scientist will build machine learning-based tools and processes within the company ... biotechnology, consumer product, or medical device industries. * Required knowledge related to ...

We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will ... Experience in healthcare or biotech industry * Experience with large-scale data processing What We ...

We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will ... Experience in healthcare or biotech industry * Experience with large-scale data processing What We ...

Showing results 41-60

Data Scientist Biotechnology information

See salary details

$46K

$165K

$243.5K

How much do data scientist biotechnology jobs pay per year?

As of Aug 20, 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 are the key skills and qualifications needed to thrive as a data scientist in biotechnology?

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.

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 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.

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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Scientist

phasevtrials.com

Boston, MA โ€ข On-site

$100 - $130/hr

Other

Posted 14 days ago


Job description

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 weโ€™ve released to get a sense of the challenges:

  • Causal Responder Detection (https://arxiv.org/abs/2406.17571)
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
  • 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.
#J-18808-Ljbffr