Associate Director, Statistical Programming

Alnylam Pharmaceuticals, Inc.; United States; On-site; USD 181,100 - 244,900; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) with company match

Paid time off

Job summary

Alnylam Pharmaceuticals, Inc. is seeking an Associate Director of Statistical Programming to lead the delivery of high-quality SAS and R programming for clinical studies and NDA submissions.

You will oversee teams, partner with Biostatistics and Data Management, and drive standardization across CDISC ADaM/SDTM workflows. The role requires extensive SAS expertise, strong leadership, and experience with vendor management.

Qualifications

• At least 10 years of SAS programming experience in pharma/CRO.
• Experience as a Programming manager (FTEs, vendors or FSOs).
• Experience leading programming teams in clinical trials to report results or support NDA/BLA submissions.
• Experience building technical programming specifications and validated SAS programs.
• Proficiency with CDISC standards including SDTM, ADaM, and Define.XML.
• Hands-on SAS knowledge (Base, Macro, STAT, Graph, SQL).
• Hands-on experience with R for trial data analysis, reporting, and regulatory submissions.
• Knowledge of Posit Workbench, RStudio Server, Posit Package Manager, and enterprise R environments.
• Experience developing SOPs and programming standards; vendor oversight.

Responsibilities

• Provides technical and operational leadership in delivering high-quality programming for clinical studies and NDA submissions.
• Collaborates with Biostatistics to implement analyses and validate CDISC ADaM datasets and TLFs.
• Helps define CDISC SDTM/ADaM specifications and datasets and supports data management and pharmacology teams.
• Manages internal and vendor programming support with governance for external partners.
• Writes SAS and R code to produce or validate tables, listings, figures, and analysis datasets.
• Coordinates multi-project timelines to ensure timely, quality delivery across programs.

Skills

SAS programming

R programming

CDISC SDTM/ADaM

Define XML

SAS/STAT

SAS/Base/Macro

Leadership

Communication

Vendor management

Education

Bachelor’s in computer science / statistics / mathematics / information sciences

Tools

Posit Workbench

RStudio Server

Posit Package Manager

Enterprise R environments

Job description

Associate Director, Statistical Programming

The Associate Director, Statistical Programming is responsible for statistical programming activities in support of clinical trials including technical and project leadership overseeing the quality and timely delivery of all statistical programming deliverables for studies or for a submission. He/she ensures the team develops, maintains, validates and runs quality SAS programs that access, visualize, analyze, and report clinical trial data in accordance with statistical analysis plans, ICH guidelines, and applicable regulatory requirements. While SAS expertise is required, experience with R programming, particularly data visualization and exploratory analysis is strongly preferred.

Summary of Key Responsibilities

• Provides technical and/or operational leadership in the delivery of high quality and timely statistical programming for clinical studies, drug programs, and/or in support of NDA submissions.
• Works closely with Biostatistics to implement statistical analysis of clinical trial data, working closely on the development and validation of CDISC ADaM specifications and datasets, and TLFs for analyses to support regulatory, medical affairs, and market access needs.
• Works closely with Data Management on cross‑functional data review and the development and validation of CDISC SDTM specifications and datasets and define packages, may also support Drug Safety to support safety data review and reporting needs, and/or Clinical Pharmacology to support their dataset creation and analytic needs.
• Manages internal and vendor statistical programming support; Maintains strong collaboration and governance with preferred vendors.
• Writes SAS and R code that produces or validates tables, listings, figures and analysis datasets, in support of clinical studies or complex integrated analyses for submission.
• Performs, plans and coordinates project work to ensure timely, quality delivery across multiple projects, or across a drug program.
• Writes specifications to describe programming needs, including development and maintenance of complex / ADaM specifications and reviewer guides.
• May lead the creation and validation of global macros or systems that streamline repetitive operations to increase programming efficiency.
• Provides input into, or leads general standardization efforts (e.g., CRFs, query checks, standard statistical programs, data presentations).
• Leads efforts to develop programming processes consistent with industry best practices.
• Reviews and provides expert input to DMP, eCRF specs, and other clinical data management documents; Reviews and provides expert input to statistical analysis plans and other related documents.
• Partners with or oversees CROs or Programming vendors to perform any of the above tasks.

Qualifications

• At least 10 years’ industry (Pharmaceutical, Biotech, CRO) SAS programming experience or equivalent.
• Experience as a Programming manager (FTEs, Functional Service Providers or vendors).
• Experience leading programming teams in support of clinical trials to report the results of clinical trials, integrate analyses across a program, or prepare data/analysis for electronic NDA or BLA submission.
• Experience in constructing technical programming specifications and producing complex, validated SAS programs.
• Demonstrated experience in working with CDISC standards, including SDTM, and ADaM, and Define xml.
• Proficiency in understanding of statistical programming environments, processes, procedures, and roles.
• Excellent knowledge of SAS/Base, SAS/Macro, SAS/STAT, SAS/Graph, and SAS/SQL with a demonstrated mastery of SAS/STAT procedures.
• Hands‑on experience with R programming for clinical trial data analysis, reporting, and regulatory submissions.
• Knowledge of R packages and frameworks commonly used in clinical development, Posit Workbench (RStudio Server), Posit Package Manager, and enterprise R environments.
• Experience developing SOPs, Standards or implementing programming best practices.
• Experience overseeing vendors in the delivery of quality programming support.
• Excellent written and oral communication and organizational skills required.
• Bachelor’s Degree required, master’s degree Preferred, in areas of computer science, statistics, mathematics or information sciences.
• Clear alignment with Alnylam Core Values:
  • Commitment to People
  • Innovation and Discovery
  • Sense of Urgency
  • Open Culture
  • Passion for Excellence

Compensation

U.S. Pay Range: $181,100.00 - $244,900.00

Benefits

Alnylam’s robust Total Rewards package is designed to support your overall health and well‑being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k) with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company‑wide recharge breaks. We also offer generous family resources and leave. Our commitment to your well‑being reflects our belief that caring for our people fuels the impact we create together.

Equal Opportunity Employment

At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E-Verify Employer.