Senior Statistical Programmer FSP-Hybrid 3 days a week in PA a must
Not Disclosed•Full-TimeHybrid
location_onWest 16th Street, Indianapolis, Marion County, Indiana, 46202, 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, a company driving the next generation of patient treatment. As a Senior Statistical Programmer, you will be at the heart of their innovation, empowered to work with autonomy and ownership. You will leverage advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Early or Late-stage clinical trials.
You will be part of a new program designed to foster growth, supported by Cytel's internal resources. The role involves generating and validating statistical programming deliverables across all therapeutic areas, including Early Development Statistics and PK/PD Modeling and Simulation. You will perform data manipulation, analysis, and reporting for both safety and efficacy, create complex ad-hoc reports, and assist in developing global programming standards. This is a hybrid role based in Pennsylvania (preferred) or New Jersey.
Hiring Process
To be successful in this position, candidates must demonstrate a strong background in clinical trial data within the Pharmaceutical & Biotech industry. The selection process evaluates technical expertise in SAS, CDISC standards, and efficacy analysis, alongside the ability to work effectively in a globally dispersed team environment.
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
West 16th Street, Indianapolis, Marion County, Indiana, 46202, United States
Indianapolis, Indiana
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
In this Senior Statistical Programmer FSP-Hybrid 3 days a week in PA a must at Cytel role, you will 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
To qualify for the Senior Statistical Programmer FSP-Hybrid 3 days a week in PA a must at Cytel position, applicants should have: Bachelor's degree in Statistics, Computer Science, Mathematics, or related field; 8+ years SAS programming with clinical trial data in Pharma/Biotech (or 6+ years with Master's); Experience with Early Development studies; Expertise in clinical endpoint data (efficacy/safety) and pharmacokinetic data; Proficiency in CDISC SDTM and ADaM standards; and Knowledge of submission standards (Define.XML, SDRG, aCRF).