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Statistical Analyst Remote Jobs in Connecticut (NOW HIRING)

micro1 AI

Director of Biostatistics

Hartford, CT · Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

micro1 AI

Director of Biostatistics

New Haven, CT · Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

micro1 AI

Director of Biostatistics

Stamford, CT · Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

micro1 AI

Director of Biostatistics

Waterbury, CT · Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

micro1 AI

Director of Biostatistics

Bridgeport, CT · Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

micro1 AI

Biostatistician

Waterbury, CT · Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

micro1 AI

Biostatistician

Stamford, CT · Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

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Statistical Analyst Remote information

What does a statistical analyst do when working remotely?

A Statistical Analyst working remotely uses statistical methods and software to collect, analyze, and interpret data from various sources. They often work with large datasets to identify trends, create reports, and support decision-making for organizations. Remote Statistical Analysts collaborate with teams through digital communication tools, ensuring that insights are effectively communicated even when not on-site. Their responsibilities may include designing experiments, validating data quality, and presenting findings to stakeholders.

What are the key skills and qualifications needed to thrive as a statistical analyst in a remote role?

To thrive as a Statistical Analyst in a remote role, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, statistics, or data science. Familiarity with statistical software like R, SAS, Python, and experience with data visualization tools and databases are highly valued, along with certifications such as SAS Certified Statistical Business Analyst. Strong problem-solving skills, attention to detail, and effective written and verbal communication are essential for collaborating virtually and presenting insights. These skills and qualities are crucial to accurately interpret data, provide actionable recommendations, and ensure seamless teamwork in a remote environment.

What are some typical challenges faced by remote statistical analysts, and how can they be addressed?

Remote statistical analysts often encounter challenges such as limited face-to-face collaboration, maintaining data security, and ensuring clear communication with cross-functional teams. To address these issues, it's important to leverage secure data-sharing platforms, establish regular check-ins with colleagues, and use collaboration tools to stay connected. Building strong relationships with team members and proactively clarifying project requirements can also help ensure smooth workflow and project success.

What is the difference between Statistical Analyst Remote vs Data Analyst Remote?

AspectStatistical Analyst RemoteData Analyst Remote
Required CredentialsBachelor's in Statistics, Mathematics, or related field; proficiency in statistical softwareBachelor's in Data Science, Analytics, or related; strong Excel and SQL skills
Work EnvironmentRemote, often collaborative with teams on data modeling and analysisRemote, focused on data collection, cleaning, and reporting
Employer & Industry UsageFinancial, healthcare, research institutionsMarketing, e-commerce, tech companies
Common Search & ComparisonYesYes

Both roles involve analyzing data, but Statistical Analysts focus more on advanced statistical modeling and hypothesis testing, often requiring specialized statistical software. Data Analysts typically handle data collection, cleaning, and reporting, with a broader focus on business insights. While both can be remote, their industry applications and skill sets differ slightly, making this comparison useful for job seekers evaluating similar remote roles.

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

The most popular types of Statistical Analyst jobs in Connecticut are:

What are popular job titles related to Statistical Analyst Remote jobs in Connecticut?

For Statistical Analyst Remote jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Statistical Analyst Remote jobs in Connecticut look for?

The top searched job categories for Statistical Analyst Remote jobs in Connecticut are:

What cities in Connecticut are hiring for Statistical Analyst Remote jobs?

Cities in Connecticut with the most Statistical Analyst Remote job openings:

Statistical Analyst Remote jobs near you
Infographic showing various Statistical Analyst Remote job openings in Connecticut as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, 2% Temporary, and 4% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution.

Senior Manager, Statistical Programming (Remote)

Fairfield, CT • On-site, Remote

Penfield Search Partners
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Penfield Search Partnersexternal

Full-time

Posted 26 days ago

Job description

Contact: Lauren Scutero -
No 3rd party candidates
The Senior Manager of Statistical Programming will be responsible for leading Statistical Programming activities. It involves hands-on implementation of statistical analyses using SAS/R, as well as performing quality reviews of deliverables, both for in-house analyses and outsourced programming tasks.

This position serves as a critical bridge between Biostatistics and Clinical Data Management (CDM), ensuring the development of CRFs and the delivery of high-quality clinical data. Additionally, this position will play an important role in establishing SOPs and programming standards, and modernizing statistical reporting with open-source tools.


Essential Duties and Responsibilities
Key Project Responsibilities:

  • Provide programming leadership and oversee study to compound-level programming deliverables in collaboration with the lead biostatistician and cross-functional teams.
  • Serve as the lead programmer to review the SAP, Data Presentation Plan, and Table Shells to align with project objectives and ensure clarity and completeness of programming assumptions and requirements.
  • Lead programming team to produce and/or validate SDTM, ADaM, and TLF for CSR and regulatory requests, publication needs, and ad-hoc analyses.
  • Manage CROs and contractors, ensuring compliance, quality of deliverables, timelines, and budget adherence.
  • Collaborate with biostatisticians and clinical development colleagues to develop/review TLF shells, SDTM, and ADaM specifications.
  • Work closely with Data Management and Biostatistics teams to ensure the accuracy of final databases, analyses, and reports.
  • Develop company tools, such as R packages, macros, and interactive data dashboards (e.g., with Shiny), to enhance the efficiency and capacity of the Statistical Programming team.
  • Develop robust programs to create define.xml. Lead the NDA eSubmission package preparation.

Initiative Responsibilities:

  • Under the guidance of the Head of Statistical Programming and Compound Lead, implement innovative strategies and technologies to enhance programming processes.
  • Working with the manager, establish Statistical Programming standards and deploy programming strategies, specifications, and programmed analyses.
  • Proactively plan, implement, and identify issues/risks and provide remediation strategies to improve programming capability.


Qualifications and Preferred Skills 
Education:

  • Master’s degree in Statistics/Biostatistics, Mathematics, Computer Science, or a related field.

Experience and Skill Set:

  • Minimum of 6 years of statistical programming experience in the pharmaceutical, biotech, or CRO clinical trial environment.
  • Advanced SAS and R programming skills, with experience using Git for version control required. Extensive hands-on experience with SDTM, ADaM, and TLF programming.
  • Python programming experience is desirable.
  • Proficient knowledge in the implementation of CDISC standards (SDTM, ADaM) and regulatory submission requirements.
  • Good knowledge of the drug development process, study design, statistical methodology, regulatory guidance, statistical concepts, and medical terminology.
  • Broad expertise in statistical programming and in developing computing strategies.
  • In-depth understanding of CDISC standards including SDTM and ADaM models and extensive experience with their implementation in clinical trials.
  • Knowledge of data validation, define.xml generation using Pinnacle 21.
  • Results-oriented, with proven problem-solving skills and a strong interest in continued learning.
  • Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams.
  • Experience managing outsourced programming activities and overseeing deliverables from CROs and contractors.
  • Adaptable and able to thrive in a fast-paced, startup environment while managing multiple priorities effectively.
  • Experience with regulatory audits and inspections (e.g., FDA, PMDA, NMPA, EMA) is a strong advantage.