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Associate Sas Programmer Jobs in Boston, MA (NOW HIRING)

Medicus Economics

Associate (ITC)

Boston, MA · On-site

Program analytic components in R and other statistical programming languages. * Qualitatively and ... Proficiency in R (required); experience in JAGS/WinBUGS/Stan (preferred); exposure to SAS ...

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Associate Sas Programmer information

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$15

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How much do associate sas programmer jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for associate sas programmer in Boston, MA is $53.24, according to ZipRecruiter salary data. Most workers in this role earn between $37.36 and $66.88 per hour, depending on experience, location, and employer.

What is an Associate SAS Programmer?

An Associate SAS Programmer is an entry-level professional who specializes in using SAS (Statistical Analysis System) software to manage, analyze, and report data. They typically assist more senior programmers and statisticians in preparing datasets, writing code, and generating statistical reports, often within industries such as healthcare, finance, or research. This role requires a good understanding of SAS programming language, attention to detail, and the ability to follow standard operating procedures. Associate SAS Programmers often work as part of a larger data or analytics team, supporting projects by ensuring data integrity and accurate analyses.

What are the key skills and qualifications needed to thrive as an Associate SAS Programmer, and why are they important?

To thrive as an Associate SAS Programmer, you need a solid understanding of statistical analysis, data management, and proficiency in SAS programming, often supported by a degree in statistics, computer science, or a related field. Familiarity with SAS software, data visualization tools, and knowledge of regulatory requirements or CDISC standards are typically expected, and SAS certification can be an advantage. Attention to detail, problem-solving ability, and effective communication are key soft skills for this role. These skills are crucial for ensuring accurate data analysis, efficient workflow, and clear reporting in data-driven environments such as clinical research or business analytics.

What are the typical responsibilities of an Associate SAS Programmer in a clinical research setting?

As an Associate SAS Programmer in clinical research, you will primarily be responsible for writing and validating SAS programs to analyze clinical trial data, generate tables, listings, and figures, and ensure data integrity and compliance with regulatory standards. Your daily tasks may also include collaborating closely with statisticians, data managers, and senior programmers to review requirements and resolve data issues. This role often involves learning industry best practices and becoming familiar with CDISC standards, offering a strong foundation for career advancement in clinical data programming.
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Associate Sas Programmer jobs near you
Infographic showing various Associate Sas Programmer job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $110,736 per year, or $53.2 per hour.
Associate Director, Statistical Programming

Associate Director, Statistical Programming

Dyne Therapeutics

Waltham, MA

Other

Re-posted 9 days ago

Job description

Company Overview:

Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for myotonic dystrophy type 1 (DM1) and Duchenne muscular dystrophy (DMD), and preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities.

Role Summary:

The Associate Director, Statistical Programming is accountable for program-specific and cross-study statistical programming activities, including oversight of vendor programming activities. In collaboration with cross-functional stakeholders, this position contributes to process optimization, innovation, and consistency across studies. This position provides technical leadership for statistical programming activities across multiple studies within a program, including oversight of vendor-related activities and implementation of data standards. In collaboration with cross-functional stakeholders, this role provides technical consultation to study teams and supports alignment of statistical programming resources and capabilities to meet organizational priorities. This role assists the Head of Statistical Programming in contributing to departmental strategies and driving the continuous improvement of departmental procedures, training, standards, and automation initiatives.

This role is based in Waltham, MA.

Primary Responsibilities Include:

  • Lead and oversee statistical programming activities across multiple clinical trials and studies, ensuring high-quality deliverables, operational consistency, and adherence to timelines
  • Collaborate with biostatisticians, data managers, clinical operations, vendors, and other cross-functional stakeholders to define programming strategies, priorities, and study requirements
  • Develop, validate, review, and maintain analysis datasets (CDISC standards), tables, listings, and figures (TLFs) in accordance with regulatory guidelines, internal standards, and submission requirements
  • Provide technical leadership and oversight for statistical programming deliverables across studies, including consistency of implementation and standards application.
  • Review statistical analysis plans (SAPs) and provide strategic and operational input to support execution feasibility, cross-study consistency, and regulatory readiness
  • Perform complex statistical analyses and simulations using SAS and/or R and support advanced analytical and data visualization solutions for clinical trial interpretation and decision-making
  • Provide expertise in statistical programming for regulatory submissions (e.g., FDA, EMA), including electronic submission standards (eCTD), and oversee submission readiness activities across studies
  • Coordinate and oversee vendor/FSP statistical programming activities across studies to ensure quality, compliance, and timely delivery
  • Build, maintain, and promote reusable, software-agnostic tools, macros, and automation solutions to improve efficiency, scalability, and standardization
  • Contribute to the evolution and implementation of departmental programming standards, processes, validation practices, and innovation initiatives
  • Mentor and provide technical guidance to junior programmers and may supervise or lead small programming teams or contractors
  • Support resource planning, prioritization, and coordination of programming deliverables across studies and programs
  • Stay current with industry trends, best practices, regulatory expectations, and emerging technologies in statistical programming and data analysis

Education and Skills Requirements:

  • Bachelor's degree required; advanced degree preferred in statistics, biostatistics, computer science, life sciences, or a related field
  • Minimum of 10 years of statistical programming experience within the pharmaceutical, biotechnology, including multi-study experience
  • Advanced proficiency in SAS required; experience with R, Python preferred.
  • Strong knowledge and applied experience with CDISC standards (SDTM, ADaM), regulatory submission requirements, and data standards
  • Demonstrated experience supporting or leading regulatory submissions, including eCTD deliverables
  • Experience coordinating vendor/FSP statistical programming activities across multiple studies preferred
  • Demonstrated leadership and project management skills, including the ability to lead cross-functional initiatives and manage multiple priorities simultaneously
  • Strong understanding of the clinical development process and cross-functional collaboration with Biostatistics, Data Management and Clinical Development organizations
  • Excellent communication, interpersonal, and stakeholder management skills
  • Detail-oriented with strong commitment to quality, compliance, consistency, and operational excellence
  • Ability to adapt to changing priorities and contribute to departmental strategy, innovation, and continuous improvement initiatives

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