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Statistical Engineering Jobs in Connecticut (NOW HIRING)

Ra

Marketing Analytics Senior Manager

Hartford, CT · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Hartford, CT · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

micro1 AI

Director of Biostatistics

Stamford, CT · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Hartford, CT · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

New Haven, CT · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Bridgeport, CT · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Waterbury, CT · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Glanbia

Process Engineering Manager

West Haven, CT · On-site

Proficient with standard business tools (email, Word, Excel, databases); statistical programming is a plus. * Ability to prioritize work, manage multiple projects, and delegate effectively. * Follow ...

Glanbia

Process Engineering Manager

West Haven, CT · On-site

Proficient with standard business tools (email, Word, Excel, databases); statistical programming is a plus. * Ability to prioritize work, manage multiple projects, and delegate effectively. * Follow ...

Glanbia

Process Engineering Manager

West Haven, CT · On-site

Proficient with standard business tools (email, Word, Excel, databases); statistical programming is a plus. * Ability to prioritize work, manage multiple projects, and delegate effectively. * Follow ...

Yale Cancer Center

Senior Statistician

New Haven, CT · On-site

$80 - $100/hr

Proficient in one or more programming languages for statistical analysis and data preparation (e.g., R or Python; SAS, Stata, MATLAB). * Proven ability to create large, complex data sets from ...

ALOIS LLC

Engineering Technician II

Southington, CT · On-site

$26 - $34/hr

Analyzes data (including basic statistics) and reports/presents on timely basis. Must Have: * Basic Knowledge of Minitab * Knowledge and skill in engineering records keeping procedures and methods

Kemper

Data Science Manager

Hartford, CT · Hybrid

PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of experience in insurance industry or related industry in a data science, analytics, or AI environment.

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Statistical Engineering information

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.

How does a statistical engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What are the key skills and qualifications needed to thrive as a statistical engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

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

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

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

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

What cities in Connecticut are hiring for Statistical Engineering jobs?

Cities in Connecticut with the most Statistical Engineering job openings:

    Statistical Engineering jobs near you
    Infographic showing various Statistical Engineering job openings in Connecticut as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, 2% Temporary, 5% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

    Senior Manager, Statistical Programming (Remote)

    Penfield Search Partners

    Fairfield, CT • On-site, Remote

    Full-time

    Posted yesterday

    New

    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.