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Biotech Data Analyst Jobs in Connecticut (NOW HIRING)

$115K - $138K/yr

... the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation ... Strong business analysis skills, including requirements gathering, process mapping, documentation ...

PK and TK sample analysis, run acceptance and data review. Routine operation of Gyro lab and ... biotechnology) experience ideally with a focus in on PK LBA analysis of Bio therapeutics or ...

Payer Healthcare Data Scientist, Manager

Stamford, CT

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

These individuals analyse client needs, develop operational strategies, and offer guidance and ... Mathematics, Biotechnology preferred - Prior consulting or advisory firm experience preferred ...

Bioanalyst

Groton, CT · On-site

$76K - $99K/yr

PK and TK sample analysis, run acceptance and data review. Routine operation of Gyrolab and ... Qualifications 2-3+ years industry (contract research organization, pharmaceutical or biotechnology ...

Histology - Image Analysis

Ridgefield, CT · On-site

$40.04 - $42.90/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Collaborate with pathologists, biologists, and data scientists to define analytical endpoints ... Previous experience in industry and biotech is desired. * Education: * Bachelor's Degree from an ...

... or biotech environments · Hands-on experience with laboratory techniques, instrumentation, and data analysis tools · Working knowledge of GMP/GLP and regulatory requirements within the ...

Global Market Intelligence Manager

Enfield, CT · On-site +1

$95K - $115K/yr

  • Medical

  • Life

Connect with key customers, assess market analytics and customer/competitor portfolios, to ... biotech/industrial, pharma and clinical environments and feeding them into future product ...

Principal ML/AI Cheminformatics Scientist

Groton, CT · On-site

$106K - $176K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... analyses. * Collaborate closely with medicinal chemists, biologists, and data scientists to ... biotech environment OR * Master's degree in Cheminformatics, Computational Chemistry ...

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Showing results 1-20

Biotech Data Analyst information

See Connecticut salary details

$32.3K

$78.6K

$129.4K

How much do biotech data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for biotech data analyst in Connecticut is $78,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What does a Biotech Data Analyst do?

A Biotech Data Analyst collects, processes, and interprets biological and clinical data to support research and decision-making in biotechnology and healthcare. They work with large datasets, applying statistical and machine learning techniques to uncover insights that drive innovation in drug development, genetics, and biomedical research. Their role often involves data visualization, database management, and collaboration with scientists and engineers. Strong analytical skills and proficiency in tools like Python, R, and SQL are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Biotech Data Analyst?

To thrive as a Biotech Data Analyst, you need a strong background in biological sciences, statistics, and data analysis, often supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with software tools such as Python, R, SQL, and bioinformatics platforms, as well as experience using data visualization and statistical analysis software, is typically required. Strong attention to detail, effective communication, and problem-solving abilities set top candidates apart. These skills are essential for interpreting complex biological data, ensuring accurate results, and clearly conveying findings to research teams or stakeholders.

What are the most commonly searched types of Biotech Data Analyst jobs in Connecticut?

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

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

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

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

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

Infographic showing various Biotech Data Analyst job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $78,614 per year, or $37.8 per hour.

Technical Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Posted 18 days ago


Job description

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

We are partnering with a growing biotech organization seeking a Clinical Data Manager/Data Analyst to support ongoing and upcoming clinical programs across multiple therapeutic areas.

This role will sit within a highly collaborative clinical development team and is ideal for a hands-on, analytical Clinical Data Manager who enjoys digging into the data, identifying trends or issues proactively, and developing creative solutions to improve data quality and study execution. The client is seeking someone resourceful and technically curious — not just process-oriented — with the ability to independently explore datasets, generate meaningful reports, and surface potential issues early.

The ideal candidate will bring a blend of traditional clinical data management expertise along with strong data review, querying, and analytical skills. Experience with R, SQL, SAS, or other data interrogation and reporting tools is highly desirable.

Key Responsibilities

  • Support clinical data management activities across studies from start-up through database lock
  • Perform hands-on data review and exploratory analysis to identify data trends, inconsistencies, missing data patterns, and potential study risks
  • Develop custom reports, listings, and data visualizations to support proactive data cleaning and study oversight
  • Utilize R, SQL, SAS, or similar tools to query, analyze, and troubleshoot clinical datasets
  • Partner with CROs and vendors to ensure high-quality, timely data delivery
  • Collaborate cross-functionally with Clinical Operations, Biostatistics, Statistical Programming, Medical, and Safety teams on data review strategies and issue resolution
  • Contribute to development and review of key deliverables including:
    • Data Management Plans (DMPs)
    • eCRF design and completion guidelines
    • Edit checks and query logic
    • User Acceptance Testing (UAT)
    • Data review plans and cleaning processes
  • Support ongoing query management and ensure data integrity, consistency, and inspection readiness
  • Assist with implementation of data standards, reporting enhancements, and process improvements
  • Work independently to investigate data anomalies and recommend practical solutions in a fast-paced biotech environment

Qualifications

  • BS in a scientific, technical, or clinical discipline
  • Approximately 5–8 years of clinical data management experience within biotech, pharma, or CRO environments
  • Strong hands-on experience reviewing and interrogating clinical trial data
  • Experience using R, SQL, SAS, or other querying/reporting tools to analyze clinical data and generate custom reports
  • Experience with EDC systems such as Medidata Rave, Oracle, or Veeva
  • Working knowledge of CDISC standards (SDTM/ADaM) and downstream data usage
  • Experience supporting Phase II and/or III clinical trials; CNS experience is a plus
  • Exposure to CRO/vendor oversight
  • Understanding of clinical data structures and dictionaries including MedDRA and WHODrug
  • Strong critical thinking and problem-solving skills with the ability to work independently
  • Resourceful, proactive, detail-oriented, and comfortable operating in a dynamic biotech environment
  • Strong communication and cross-functional collaboration skills