Principal Statistical Programmer

Alnylam Pharmaceuticals; Cambridge; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Principal Statistical Programmer, where you'll play a crucial role in transforming clinical trial data into actionable insights. This innovative firm seeks a professional with extensive SAS programming experience to lead efforts in data analysis and reporting, ensuring compliance with industry standards. You'll collaborate with cross-functional teams, develop efficient programming practices, and contribute to groundbreaking research that has the potential to change lives. If you're passionate about statistical programming and eager to make a significant impact, this is the opportunity for you.

Qualifications

• 8+ years of SAS programming experience in the pharmaceutical industry.
• Strong knowledge of clinical trials and statistical methodologies.

Responsibilities

• Write and validate SAS programs for clinical studies.
• Develop programming specifications and maintain SAS code.

Skills

SAS Programming

Statistical Analysis

CDISC Standards

Communication Skills

Education

Bachelor's Degree

Master's Degree

Tools

SAS/GRAPH

SAS/SQL

SAS/STAT

Job description

This role is considered Hybrid.

Principal Statistical Programmer

The Principal Statistical Programmer will provide expert-level hands-on principal programming support and technical leadership to develop, maintain, validate and run SAS computer programs that access, visualize, analyze, and report clinical trial data, in accordance with statistical analysis plans, ICH guidelines, and applicable regulatory requirements. The ability to work independently and expert SAS/GRAPH programming experience is required.

Summary of Key Responsibilities

• Write SAS programs that produce or validate tables, listings, figures and analysis datasets, in support of clinical studies or complex integrated analyses for submission;
• Develop and follow good programming practices, including adequately documenting SAS code;
• Perform, plan and coordinate project work to ensure timely, quality delivery across multiple projects;
• Use, modify, and maintain existing SAS code;
• Write specifications to describe programming needs;
• Create and validate global macros or systems that streamline repetitive operations to increase programming efficiency;
• Keep abreast of current and new statistical programming techniques and other applicable technical advancements while assisting in their implementation;
• Provide input into, or lead general standardization efforts (e.g., CRFs, query checks, standard statistical programs, data presentations);
• Assist or lead efforts to develop programming processes consistent with industry best practices;
• Review DMP, eCRF specs, and other clinical data management documents;
• Review statistical analysis plans and other related documents;
• Partner with or oversee CROs or Programming vendors to perform any of the above tasks;
• Other duties as assigned.

Qualifications

• At least 8 years' industry (Pharmaceutical, Biotech, CRO) SAS programming experience or equivalent;
• Knowledge of clinical trials and experience in using SAS to report the results of clinical trials and/or integrated analysis for submission;
• Experience in constructing technical programming specifications and producing complex, validated SAS programs;
• Strong experience in working with CDISC standards, including SDTM, and ADaM, and Define xml;
• Excellent knowledge of applied statistical methodologies;
• Excellent knowledge of SAS Macro, SAS/SQL, SAS/GRAPH, and SAS/STAT;
• Good communication and organizational skills required;
• Bachelor's Degree required, Master's Degree Preferred.

• Clear alignment with Alnylam Core Values:
  • Commitment to People
  • Innovation and Discovery
  • Sense of Urgency
  • Open Culture
  • Passion for Excellence

Alnylam Pharmaceuticals is an EEO employer committed to an exciting, diverse, and enriching work environment.

About Alnylam:Alnylam Pharmaceuticals (Nasdaq: ALNY) has led the translation of RNA interference (RNAi) into a whole new class of innovative medicines with the potential to transform the lives of people afflicted with rare and more prevalent diseases. Based on Nobel Prize-winning science, RNAi therapeutics represent a powerful, clinically validated approach to treating diseases at their genetic source by "interfering" with mRNA that cause or contribute to disease. Since our founding in 2002, Alnylam has led the RNAi Revolution and continues to turn scientific possibility into reality.

Our culture:Our people-first culture is guided by our core values: fiercely innovative, open culture, purposeful urgency, passion for excellence, and commitment to people, and these values influence how we work and the business decisions we make. Thanks to feedback from our employees over the years, we've been fortunate to be named a top employer around the world. Alnylam is extremely proud to have been recognized as the #1 Large Employer by Boston Globe Top Places to Work in 2023 for the third consecutive year, one of Science Magazine's Top Biopharma Employers, one of America's Most Responsible Companies for 2024 by Newsweek, a Fast Company Best Workplace for Innovators, and a Great Place to Work in Canada, France, Italy, Spain, Switzerland, and UK - among others.

At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. We are dedicated to building an environment where employees can feel that they belong, can bring their authentic selves to work, and achieve to their full potential. By empowering employees to embrace their unique differences at work, our business grows stronger with advanced and original thinking, allowing us to bring groundbreaking medicines to patients. Qualified applicants will receive consideration for employment without regard to their race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, ethnicity, marital status, protected veteran status, disability, or any other characteristics prohibited by law.

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