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Phd In Statistics Jobs in Connecticut (NOW HIRING)

Munich Re

Senior Data Scientist

Hartford, CT · On-site

PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or ...

Munich Re

Senior Data Scientist

Hartford, CT

PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or ...

Munich RE

Senior Data Scientist

Hartford, CT · On-site

PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or ...

Bestex Research

Execution Analyst

Stamford, CT · On-site

MS or PhD in a quantitative field such as Computer Science, Statistics, Engineering, Mathematics, or a related discipline * 2 years of experience in answering research questions supported by ...

BestEx Research

Execution Analyst

Stamford, CT · On-site

MS or PhD in a quantitative field such as Computer Science, Statistics, Engineering, Mathematics, or a related discipline * 2 years of experience in answering research questions supported by ...

micro1 AI

Director of Biostatistics

Hartford, CT · Remote

$60 - $65/hr

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

micro1 AI

Director of Biostatistics

Waterbury, CT · Remote

$60 - $65/hr

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

micro1 AI

Director of Biostatistics

Bridgeport, CT · Remote

$60 - $65/hr

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

micro1 AI

Director of Biostatistics

New Haven, CT · Remote

$60 - $65/hr

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

micro1 AI

Director of Biostatistics

Stamford, CT · Remote

$60 - $65/hr

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

What are popular job titles related to Phd In Statistics jobs in Connecticut?

For Phd In Statistics jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Phd In Statistics jobs in Connecticut look for?

The top searched job categories for Phd In Statistics jobs in Connecticut are:

What cities in Connecticut are hiring for Phd In Statistics jobs?

Cities in Connecticut with the most Phd In Statistics job openings:

Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Connecticut as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, 2% Temporary, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Principal Biostatistician - Medical Affairs (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted 14 days ago

Job description

We are partnering with a leading biopharmaceutical client seeking an experienced Principal Biostatistician to support its Medical Affairs Statistics, Epidemiology, and Real-World Evidence (RWE) organization. This individual will perform and validate statistical analyses in support of Medical Affairs initiatives while providing oversight of statistical and programming work conducted by external vendors as needed.

The Principal Biostatistician will collaborate closely with cross-functional Medical Affairs stakeholders on evidence-generation activities, including those incorporating real-world data and evidence. The role will provide statistical guidance on clinical and lifecycle management initiatives, advise on analytical strategies, and recommend appropriate methodological approaches to support integrated evidence generation and informed decision-making.

Essential Functions

  • Work collaboratively with other members of the Medical Affairs team to develop and provide scientifically sound analyses that answer questions to support and enhance publications and knowledge of company products.
  • Contribute to publication objectives including timelines, statistical and analytical requirements for publications and projects.
  • Develop, design, and oversee or perform post-hoc analyses of existing databases and meta-analyses as needed and appropriate
  • Support clinical development biostatistics with exploratory analyses necessary for submissions and regulatory queries.
  • Review publications, marketing materials, and education and training materials that contain clinical data and product claims
  • Stay informed with data being generated in current clinical development programs
  • Manage CROs regarding statistical activities to ensure timely delivery of quality analysis results as necessary
  • Collaborate and provide statistical support to the HEOR group in relevant areas including HTA and NTAP submissions.
  • Develop real world evidence strategies utilizing real-world data assets to design and execute RWE research projects, including the development of protocols and statistical analysis plans, in collaboration with epidemiology and RWE leadership team.
  • Stay current with new developments in statistics, drug development, and regulatory guidance through literature review, conference attendance, and other professional development activities.

Minimum Requirements

  • Master’s degree with >2 years of experience; OR PhD in statistics, mathematics or a related discipline with a statistical focus.
  • Proficient in drug development regulations pertinent to statistical analysis
  • Proficient SAS & R programming skills
  • Understanding of CDISC SDTM and ADAM models and standards is preferred, but not required.
  • Excellent writing and communication skills, demonstrated leadership abilities and excellent interpersonal skills.
  • Able to work in a fast-paced, flexible, team-oriented environment.