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Sas Programmer Jobs in Connecticut (NOW HIRING)

TecTammina

Teradata Developer

Windsor, CT

... SAS/Teradata migration project from the Teradata perspective Generic Managerial Skills Need good verbal/written communication/Analytical skills. Additional Information Job Status: Full Time ...

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

... SAS and R/ Python. • Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support. • Identify data sources and extract from RDBMS and ...

Mindlance

Project manager

Hartford, CT · On-site

... of SAS, Python, R programming languages or Big Data technologies are a plus Company : Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services Founded in 1999 ...

Collabera

Data Analyst

Hartford, CT

Competent in use & writing SQL / SAS for data analysis and data mining tools (experience working with Big Data tools a plus). Comprehensive analytical, reasoning, problem-solving and communications ...

R2 Technologies Corporation

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

... data engineers and source data providers. Provide subject matter expertise in the analysis ... Strong knowledge of analysis tools such as Python, R, Spark or SAS, Shell scripting, R/Spark on ...

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Sas Programmer information

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$13

$46

$75

How much do sas programmer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for sas programmer in Connecticut is $46.62, according to ZipRecruiter salary data. Most workers in this role earn between $32.69 and $58.56 per hour, depending on experience, location, and employer.

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

To thrive as a SAS Programmer, you need strong analytical skills, proficiency in SAS programming languages, and typically a degree in computer science, statistics, or a related field. Familiarity with data management tools, statistical analysis software, and knowledge of clinical data standards like CDISC are often required, along with SAS Base and Advanced certifications. Attention to detail, problem-solving abilities, and effective communication skills help SAS Programmers excel in translating complex data into actionable insights. These skills ensure accurate data analysis, regulatory compliance, and effective collaboration with project teams.

What are some common challenges SAS programmers face when working with large datasets, and how can they be addressed?

SAS Programmers often encounter challenges related to processing speed and memory limitations when working with very large datasets. To address these issues, it is important to use efficient coding practices such as indexing, data step optimization, and leveraging SAS procedures designed for large data handling. Collaborating closely with data management teams and IT support can also help in optimizing access to hardware resources and ensuring data integrity. Staying current with SAS updates and utilizing available documentation can further improve efficiency and problem-solving.

What is the difference between Sas Programmer vs Data Analyst?

AspectSas ProgrammerData Analyst
Required SkillsProficiency in SAS programming, data manipulation, and statistical analysisData visualization, statistical analysis, and reporting skills
Work EnvironmentOften in healthcare, finance, or pharmaceutical industriesAcross various industries including marketing, finance, and healthcare
CertificationsSAS Certified Data Scientist or Base ProgrammerNone specific, but certifications like CAP or Microsoft Data Analyst are common

While both roles involve working with data, Sas Programmers primarily focus on developing and maintaining SAS code for data analysis, whereas Data Analysts often use a broader range of tools and focus on interpreting data to inform business decisions. Sas Programmers typically work in environments requiring advanced statistical programming, while Data Analysts may handle data visualization and reporting across diverse industries.

What does a SAS programmer do?

As a SAS (Statistical Analysis System) programmer, you are an IT professional who focuses on data collection and analysis. SAS programmers aggregate data and manipulate it for the purpose of analyzing current projects and productivity, as well as predicting future trends and needs. They gather data from all available sources and process it using SAS in order to find the desired answers or provide needed analysis to management to help in decision making.

More about Sas Programmer jobs
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Sas Programmer jobs near you
Infographic showing various Sas Programmer job openings in Connecticut as of August 2026, with employment types broken down into 54% Full Time, 40% Part Time, 3% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $96,964 per year, or $46.6 per hour.

Technical Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Posted 9 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