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Biotech Data Science Jobs in Connecticut (NOW HIRING)

Pwc

Payer Healthcare Data Scientist, Manager

Stamford, CT · On-site

$99K - $232K/yr

... Science, Applied Mathematics, Biotechnology preferred - Prior consulting or advisory firm ... data integration Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

Pfizer

Principal ML/AI Cheminformatics Scientist

Groton, CT · On-site

$106K - $176K/yr

PhD in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science, or a closely related field and a minimum of 4 years of relevant drug discovery experience in a pharmaceutical or biotech ...

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Collaborate with pathologists, biologists, and data scientists to define analytical endpoints ... Previous industry and biotech experience (preferred). System One, and its subsidiaries including ...

System One

Bench Scientist II

Groton, CT · On-site

$43 - $48.38/hr

Operate and maintain data quality for specialized laboratory instrumentation, including ... Bachelor's or master's degree in biology, Pharmacology, Biochemistry, Biotechnology, or a related ...

New

Actalent

USA - Bench Scientist - II - USD

Groton, CT · On-site

$33 - $48/hr

Interpret data and communicate findings clearly to project stakeholders, contributing to ongoing ... Prior experience working in a pharmaceutical, biotechnology, or contract research organization (CRO ...

New

Astrazeneca

Clinical Development Scientist

New Haven, CT · On-site

$203K - $305K/yr

Do you thrive at the intersection of science, operations, and data, guiding teams through complex ... We combine the agility of innovative biotech teams with the resources and reach of a global ...

AstraZeneca

Clinical Development Scientist

New Haven, CT · On-site

$203K - $305K/yr

Do you thrive at the intersection of science, operations, and data, guiding teams through complex ... We combine the agility of innovative biotech teams with the resources and reach of a global ...

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Collaborate with pathologists, biologists, and data scientists to define analytical endpoints and ... Previous experience within the biotechnology or pharmaceutical industry. * Experience supporting ...

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Collaborate with pathologists, biologists, and data scientists to define analytical endpoints and ... Previous experience within the biotechnology or pharmaceutical industry. * Experience supporting ...

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All JobsBiotech Data Science JobsBiotech Data Science Jobs in Connecticut

Biotech Data Science information

See Connecticut salary details

$35.7K

$116.8K

$186.9K

How much do biotech data science jobs pay per year?

As of Aug 29, 2026, the average yearly pay for biotech data science in Connecticut is $116,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 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 are the most commonly searched types of Biotech Data Science jobs in Connecticut?

The most popular types of Biotech Data Science jobs in Connecticut are:

What are popular job titles related to Biotech Data Science jobs in Connecticut?

For Biotech Data Science jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Biotech Data Science jobs in Connecticut look for?

The top searched job categories for Biotech Data Science jobs in Connecticut are:

Biotech Data Science jobs near you
Infographic showing various Biotech Data Science job openings in Connecticut as of August 2026, with employment types broken down into 52% Full Time, 13% Part Time, 13% Temporary, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $116,759 per year, or $56.1 per hour.

Data Scientist - Biomanufacturing Intelligence

Groton, CT

Thermo Fisher Scientific
Biotechnology Research and Development • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 429 frontline employees who took The Breakroom Quiz

170th of 544 rated manufacturers

People enjoy working here

Good employer

Recommended by students

Learn more about Thermo Fisher Scientificexternal

Full-time

Posted 21 days ago

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Job Description

Data Scientist – Biomanufacturing Intelligence

As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer.

The Bioprocessing Business Development team is shaping the future of digital biomanufacturing by creating innovative business models and customer solutions at the convergence of biotechnology, manufacturing, automation and AI. We believe the future of biomanufacturing will be driven by the integration of these disciplines. This role provides a unique opportunity to help define the future of Biomanufacturing Intelligence.

DESCRIPTION

Join the Bioprocessing Business Development team as a Data Scientist – Biomanufacturing Intelligence. Unlike traditional data science roles, this position focuses on creating new digital business opportunities rather than supporting an established analytics organization. You will work with bioprocess experts, automation specialists, commercial teams and global stakeholders to explore how biomanufacturing data can be transformed into valuable digital solutions.

This is an opportunity to help define the future of Biomanufacturing Intelligence by combining data science, automation and biotechnology into innovative solutions for the biopharmaceutical industry.

KEY RESPONSIBILITIES

  • Identify and develop new digital business opportunities for biomanufacturing using AI and data science.

  • Collaborate with customers and cross-functional teams to understand manufacturing challenges and develop innovative digital solutions.

  • Design AI-ready information models and analytical frameworks that enable Biomanufacturing Intelligence.

  • Develop proof-of-concepts and prototypes for next-generation digital biomanufacturing solutions.

  • Work with global commercial, product management and technical teams to define future business and technology strategies.

REQUIREMENTS

Required

  • Master's or PhD in Data Science, Computer Science, Statistics, Industrial Engineering, or a related discipline.

  • Strong programming skills in Python and SQL, with a solid understanding of statistics, machine learning and data analytics.

  • Strong analytical thinking and structured problem-solving skills.

  • Strong written and verbal English communication skills, with the ability to collaborate effectively in a global environment.

  • Strong collaboration and presentation skills, with the ability to work across multidisciplinary teams.

  • Intellectual curiosity, open-mindedness and a strong willingness to learn.

Preferred

  • Experience with data engineering, information architecture or semantic data modeling.

  • Interest in biotechnology, automation and AI-driven manufacturing.

  • Exposure to manufacturing, pharmaceutical or life sciences is beneficial but not required.

WHY JOIN US?

Join the world leader in serving science and help create the next generation of digital solutions for the biopharmaceutical industry.

Work at the convergence of biotechnology, manufacturing, automation and AI while collaborating with global customers and cross-functional teams.

Grow your expertise across business development, manufacturing and data science while helping define the emerging field of Biomanufacturing Intelligence.

SUCCESS PROFILE

  • Open Mind

  • Curiosity

  • Persistence

  • Cross-functional Collaboration

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