Associate Director, Statistical Programming

Associate Director, Statistical Programming Cambridge, MA We are a clinical‑stage company focused on post‑bariatric hypoglycemia (PBH), Wolfram syndrome, and amyotrophic lateral sclerosis (ALS). Our core values include audacity, curiosity, authenticity, engagement, and accountability. Opportunity Reporting into the Statistical Programming function, you will provide hands‑on programming support and technical guidance on clinical trials and regulatory submissions. In this role you will lead the design, development, and quality control process for SAS programs used to access, extract, transform, review, analyze, and submit clinical data for individual studies. You will also participate in departmental and cross‑functional technology development and process improvement initiatives. Responsibilities Effectively design and code SAS programs using BASE/SAS, SAS/STAT, SAS/GRAPH and SAS MACROS for assigned clinical projects. Produce and deliver CDISC and regulatory compliant SDTM, and ADaM standard datasets including dataset specifications for datasets programming. Develop and execute statistical analysis and reporting deliverables (tables, figures and listings (TFLs)) in a timely and high‑quality fashion, consistently meeting objectives of the study, and regulatory requirements. Perform quality control checks/validation of SAS code and output produced by other Statistical Programmers for SDTM datasets, ADaM datasets, fit‑for‑purpose analysis datasets, and TFLs. Create and review eCTD documents to support regulatory submission package. Provide programming support for building integrated summary of safety/efficacy datasets and analysis. Provide programming support for ad‑hoc analyses and data listing review. Required Qualifications MS in Statistics, Computer Science, or a related field with at least 6 years of SAS programming experience in the pharmaceutical or biotech industry. (BS in Statistics, Computer Science or related field with at least 8 years’ experience in pharma or biotech also considered). Proficient in SAS programming. In‑depth knowledge of CDISC standards for SDTM and ADaM and FDA electronic data submission requirements. Working knowledge of R strongly preferred. Experience in leading statistical programming to early and late phase clinical trials, integrated summary safety/efficacy datasets and analysis, electronic submission data package in the eCTD format and regulatory submissions (NDA, MAA). Experience with FDA and ICH regulations and guidelines. Ability to manage multiple projects simultaneously, to manage conflicting priorities, and to be flexible when priorities change. Excellent written and verbal communication skills and organizational and documentation skills. Ability to work on a multidisciplinary team that may include Biostatistics, Medical Directors, Data Management, Medical Writing, Pharmacovigilance, Clinical Operations, Medical Affairs, etc. Work Location and Conditions Remote work opportunities within the United States are supported, except for employees residing in Alaska, Arizona, Hawaii, Michigan and Tennessee. Employees will be required to travel to the corporate location in Cambridge, MA several times a year and attend other company‑related events as necessary and requested. A suitable work setting with reliable internet access, phone, and video‑conference capability is required at the remote location. Compensation $188,000 - $211,000 USD annually EEO Statement Amylyx Pharmaceuticals is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy‑related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Accommodations are available for candidates who require them in the selection process. If you need an accommodation, please let your Amylyx Talent Acquisition contact know. #J-18808-Ljbffr