Senior Statistical Programmer FSP-Hybrid 3 days a week in PA a must
Not Disclosed•Full-TimeHybrid
location_on690, South 13th Street, Downtown, Boise, Ada County, Idaho, 83702, United States
About the Team and Mission
Cytel is dedicated to applying scientific rigor to reveal the full promise inherent in data. We nurture intellectual curiosity, encouraging our team to approach new challenges with enthusiasm and a desire for discovery. Our culture prizes innovation, seeking intelligent solutions using leading-edge technology, and we believe in collaboration by inviting a diversity of perspectives to create a wealth of possibilities.
About the Role
This position offers a unique opportunity to work fully embedded within one of our global pharmaceutical clients, serving as a Senior Statistical Programmer dedicated to driving the next generation of patient treatment. You will be at the heart of the client's innovation, empowered to work with autonomy and ownership while supported by Cytel's expertise behind you.
In this hybrid role (based in Pennsylvania or New Jersey), you will leverage advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead early or late-stage clinical trials. The role spans all therapeutic areas, with a specific focus on Early Development Statistics and PK/PD Modeling and Simulation. You will be responsible for generating and validating statistical programming deliverables, performing complex data manipulation and analysis for both safety and efficacy, and creating submission documents. This is an exciting time to join a program where individuals are trusted to take the lead and adapt to changing priorities while delivering high-quality results.
Hiring Process
To be successful in this position, candidates must demonstrate a strong background in clinical trial data programming. The selection process focuses on verifying expertise in Early Development studies, clinical endpoint data, and pharmacokinetic data. We look for individuals who can design complex programming algorithms and develop global programming standards for efficacy and safety analysis.
Equal Opportunity
Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.
Work location
Work model: Hybrid
690, South 13th Street, Downtown, Boise, Ada County, Idaho, 83702, United States
Boise, Idaho
Similar Job Opportunities
Skills, education and keywords
Skills: Sas, Cdisc, SDTM, Adam, PK/PD Modeling And Simulation, Efficacy Analysis, Safety Analysis, R, Splus, Nonmem.
Education: Bachelor's degree in Statistics, Computer Science, Mathematics, etc.; Master's degree or above (reduces experience requirement to 6 years).
Frequently asked questions about Senior Statistical Programmer FSP-Hybrid 3 days a week in PA a must at Cytel
What does a Senior Statistical Programmer FSP-Hybrid 3 days a week in PA a must at Cytel do?expand_more
A Senior Statistical Programmer FSP-Hybrid 3 days a week in PA a must at Cytel is responsible for the following: Perform data manipulation, analysis, and reporting of clinical trial safety and efficacy data using SAS; Develop and validate global programming standards for ADaM datasets and efficacy analysis; Design and develop complex programming algorithms for clinical endpoint and pharmacokinetic data; and Generate complex ad-hoc reports utilizing raw clinical trial data.
What are the requirements for this Senior Statistical Programmer FSP-Hybrid 3 days a week in PA a must role?expand_more
Cytel is looking for candidates who meet the following requirements: Bachelor's degree in Statistics, Computer Science, Mathematics, or related field; 8+ years SAS programming with clinical trial data (Pharma/Biotech) with Bachelor's degree; 6+ years related experience with Master's degree or above; Experience with Early Development studies; Expertise in clinical endpoint data (efficacy and safety) and pharmacokinetic data; and Proficiency in CDISC SDTM and ADaM standards.