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Biotech Automation Jobs in Connecticut (NOW HIRING)

$115K - $138K/yr

... the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation ... ABOUT THE ROLE Role Description The AI & Digital Automation Solutions Developer will support ...

The event connects pharmaceutical, biopharmaceutical and biologics, biotechnology, and related life-sciences manufacturing professionals with suppliers and partners spanning bioprocessing, automation ...

New

The event connects pharmaceutical, biopharmaceutical and biologics, biotechnology, and related life-sciences manufacturing professionals with suppliers and partners spanning bioprocessing, automation ...

New

... biologics, biotechnology, and related life‑sciences manufacturing professionals with suppliers and partners spanning bioprocessing, automation, instrumentation, cleanroom solutions, contract ...

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PLC Technician

Meriden, CT · On-site

$30.75 - $38.25/hr

The job opportunity is for one of our clients specializing in biotechnology product development ... Troubleshoot, repair, maintain, and improve electrical/control/automation systems, including:

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Biotech Automation information

What is biotech automation?

Biotech automation refers to the use of advanced technologies, such as robotics, software, and specialized instruments, to automate various processes in biotechnology laboratories and production facilities. This can include tasks like sample preparation, liquid handling, data analysis, and even large-scale manufacturing. Automating these processes increases efficiency, reduces human error, and allows researchers and companies to scale up their experiments and production. Biotech automation is essential for high-throughput screening, drug development, and modern biomanufacturing.

What are the key skills and qualifications needed to thrive in biotech automation?

To excel in Biotech Automation, a solid background in biology, engineering, or related sciences combined with experience in laboratory automation is essential. Familiarity with automation platforms (such as liquid handlers), scripting languages (like Python), and common laboratory information management systems (LIMS) is typically required. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this field. These competencies are crucial for streamlining experimental workflows, minimizing errors, and facilitating collaboration in high-throughput biotech environments.

What are some common challenges faced by professionals working in biotech automation, and how can they be addressed?

Professionals in Biotech Automation often encounter challenges such as integrating new automation technologies with existing laboratory systems, ensuring data accuracy, and troubleshooting complex instruments. These issues can be addressed by staying updated with the latest industry advancements, participating in regular training, and fostering strong communication within cross-functional teams. Collaboration with IT specialists and laboratory staff is essential for smooth workflow integration and minimizing downtime. Regular maintenance and validation of automated equipment also help prevent technical issues and ensure reliable results.

What is the difference between Biotech Automation vs Laboratory Technician?

AspectBiotech AutomationLaboratory Technician
Required CredentialsDegree in Biotechnology, Bioengineering, or related field; certifications in automation systemsAssociate's or Bachelor's in Laboratory Science or related field
Work EnvironmentManufacturing facilities, biotech labs, automation system setupsResearch labs, clinical labs, diagnostic facilities
Employer & Industry UsageBiotech companies, pharmaceutical manufacturing, R&D centersHospitals, research institutions, diagnostic labs
Common Search & Comparison IntentUnderstanding automation roles in biotechLaboratory work and technical skills

Biotech Automation professionals focus on designing, maintaining, and improving automated systems used in biotech manufacturing and research. Laboratory Technicians perform hands-on testing, sample analysis, and lab procedures. While both roles support biotech and lab environments, Biotech Automation emphasizes system integration and automation technology, whereas Laboratory Technicians focus on manual testing and sample processing.

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

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

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

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

What cities in Connecticut are hiring for Biotech Automation jobs?

Cities in Connecticut with the most Biotech Automation job openings:

Infographic showing various Biotech Automation job openings in Connecticut as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, 5% Temporary, and 9% Contract. Highlights an 98% In-person, and 2% Remote job distribution.

Data Scientist - Biomanufacturing Intelligence

Thermo Fisher Scientific

Groton, CT

Full-time

Posted 15 days ago


Thermo Fisher Scientific rating

7.8

Company rating: 7.8 out of 10

Based on 428 frontline employees who took The Breakroom Quiz

175th of 544 rated manufacturers


Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

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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