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Clinical Development Biotech Jobs in Connecticut

Artech Information System LLC

Scientist

Groton, CT · On-site

... development and mechanistic studies. Ability to work occasional weekends for clinical sample analysis is required. Previous pharma and/or biotech experience preferred. Please list out the (up to) top ...

Eppendorf SE

Global Market Intelligence Manager

Enfield, CT · On-site

$95K - $115K/yr

... biotech/industrial, pharma and clinical environments and feeding them into future product development considerations. * Lead or support collaborative projects with external technology or business ...

Eppendorf SE

Global Market Intelligence Manager

Enfield, CT · On-site +1

$95K - $115K/yr

... biotech/industrial, pharma and clinical environments and feeding them into future product development considerations. * Lead or support collaborative projects with external technology or business ...

Artech Information System LLC

Scientist

Groton, CT · On-site

... development and mechanistic studies. Ability to work occasional weekends for clinical sample analysis is required. * Previous pharma and/or biotech experience preferred. Please list out the (up to ...

Premier Research

$122K/yr

You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and ... Assists in Business Development activities, including proposal development and leading proposal ...

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Clinical Development Biotech information

What is clinical development in biotech?

Clinical development in biotech refers to the process of testing new drugs or therapies in human participants to determine their safety and effectiveness. This phase follows preclinical research and involves multiple stages of clinical trials, from Phase I (safety) to Phase III (efficacy and monitoring of side effects). Clinical development professionals coordinate the design, implementation, and analysis of these studies, ensuring compliance with regulatory standards. Their work is crucial in bringing innovative treatments from the laboratory to patients. Success in this field requires knowledge of medical science, regulatory guidelines, and project management.

What are the key skills and qualifications needed to thrive as a clinical development professional in biotech?

To thrive in Clinical Development within biotech, you need a strong background in life sciences, clinical trials management, and regulatory compliance, often supported by an advanced degree (e.g., PhD, PharmD, or MD). Proficiency with clinical trial management systems (CTMS), data analysis tools, and familiarity with ICH-GCP guidelines and FDA regulations are typically required. Strong project management, communication, and problem-solving skills help navigate complex studies and multidisciplinary teams. These competencies are essential to ensure safe, efficient, and compliant development of new therapies from concept to market.

What are the typical challenges faced by professionals working in clinical development within the biotech industry?

Professionals in clinical development for biotech companies often encounter challenges related to navigating complex regulatory requirements, managing tight timelines, and ensuring robust data quality across clinical trials. Additionally, frequent cross-functional collaboration is needed, as teams work closely with regulatory affairs, medical affairs, and data management to drive studies forward. Adapting to evolving scientific advancements and shifting project priorities are also common, so flexibility and strong communication skills are essential for success in this fast-paced environment.

What is the difference between Clinical Development Biotech vs Clinical Research Associate?

AspectClinical Development BiotechClinical Research Associate
Required CredentialsBachelor's or higher in life sciences, relevant certificationsBachelor's in life sciences, often with CRA certification
Work EnvironmentPharmaceutical/biotech companies, labs, clinical trial teamsMonitoring sites, clinical trial sites, sponsor offices
Employer & Industry UsageBiotech firms, pharmaceutical companies, CROsPharmaceutical companies, CROs, research organizations
Common Search & ComparisonYesYes

The Clinical Development Biotech role focuses on planning and managing clinical trials within biotech companies, often involving protocol development and regulatory submissions. In contrast, a Clinical Research Associate primarily monitors clinical trial sites to ensure compliance and data integrity. While both roles require similar educational backgrounds and certifications, their daily responsibilities and work environments differ, with the former being more involved in trial design and the latter in trial oversight.

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

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

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

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

What cities in Connecticut are hiring for Clinical Development Biotech jobs?

Cities in Connecticut with the most Clinical Development Biotech job openings:

Clinical Development Biotech jobs near you

Data Scientist - Clinical Analytics (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted 13 days ago

Job description

Contact: Neisha Camacho/Terra Parsons –
No 3rd party candidates

This hands-on role sits at the intersection of Data Science, Biostatistics, Statistical Programming, and Clinical Data Management. The ideal candidate combines strong programming skills with clinical study experience and can build practical solutions that improve how teams access, analyze, visualize, and work with clinical data.

This individual will support ongoing studies while building technical infrastructure, automation, and reusable tools for a growing Biometrics organization. The successful candidate will be forward-thinking, collaborative, and comfortable introducing modern approaches in a cross-functional environment.

Primary Responsibilities

  • Develop data science solutions, analytical tools, dashboards, and visualizations to support clinical studies and data review.
  • Build reusable tools, workflows, and infrastructure for Statistical Programming, Biostatistics, Data Management, and other teams.
  • Build automated workflows using GitHub/GitHub Actions for quality checks, validation, code review, testing, and deployment.
  • Work with databases and data sources to support integration, analysis, and visualization.
  • Apply R and SAS to clinical data and analytical challenges and use Python when appropriate.
  • Develop and maintain interactive applications using R Shiny.
  • Partner across Biometrics and other clinical functions to understand study needs and develop effective technical solutions.
  • Identify opportunities to automate manual processes and improve efficiency.
  • Establish effective Git/GitHub, version control, and collaborative development practices.
  • Help team members adopt modern programming, automation, and application development practices.
  • Contribute technical expertise as Data Science and clinical analytics capabilities grow.

Qualifications

  • Bachelor's or Master's degree in Data Science, Statistics, Biostatistics, Computer Science, or a related quantitative field.
  • Significant Data Science, Statistical Programming, Clinical Analytics, or related experience within pharma, biotech, or clinical research.
  • Advanced programming experience in R and SAS.
  • Experience building and maintaining R packages.
  • Strong hands-on experience with Git/GitHub and GitHub Actions.
  • Experience developing analytical applications, dashboards, and visualizations, including R Shiny.
  • Experience with databases and integrating data into analytical workflows.
  • Strong understanding of version control, code review, testing, and automation.
  • Experience building reusable technical solutions and infrastructure.
  • Experience working with clinical study data and supporting study teams.
  • Strong cross-functional communication skills.
  • Ability to work independently in a small, growing organization while remaining highly collaborative.

Preferred Experience

  • Working knowledge of Python.
  • Experience building infrastructure, frameworks, or reusable tools for programmers, statisticians, or data scientists.
  • Experience automating development and quality-control processes.
  • Experience helping teams adopt Git/GitHub, R Shiny, automation, or other modern development practices.

Key Success Factors

  • Hands-on: Personally builds solutions rather than only directing others.
  • Forward-thinking: Brings ideas and seeks more efficient ways to solve problems.
  • Practical: Selects technology based on the problem.
  • Collaborative: Works effectively across clinical and technical functions.
  • Builder: Comfortable establishing tools, infrastructure, and new ways of working.
  • Self-directed: Identifies needs, proposes solutions, and drives work forward.