Associate Principal Scientist, Statistical Programming

Responsibilities: Provide high quality statistical programming analysis and reporting deliverables for global stakeholders, within our Research and Development division. Gather and interpret user requirements for analysis and programming requests in close collaboration with stakeholders (statisticians/modelers) and clinical colleagues, retrieve the required data, transform the data into analysis/modeling datasets, and develop tables and figures according to statistical/modeling analysis plan. Partner with stakeholders to solve problems and reduce the amount of programming tasks being completed by stakeholders to facilitate an increase in efficiency and compliance for statistical/modeling analyses. Write programs to analyze data with statistical methods which are not currently available through commercial software packages. Act as key collaborator with statisticians, modelers, and colleagues in other related function areas. Educational Requirement: Master's degree or equivalent in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 7 years of SAS/R programming experience in a clinical trial environment. OR a Bachelor's degree or equivalent in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 9 years of SAS/R programming experience in a clinical trial environment. Position Specific Required Skills and Experience: Requires 7 years of experience with all of the following: Experience in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, and SAS/GRAPH; Experience in CDISC SDTM and ADaM standards; Experience in preparing eSubmission packages including ADRG, XPT files, and Pinnacle 21 validation; and completing statistical programming deliverables through the use of global programming staff. Requires 5 years of experience with all of the following: Manipulating very large databases including complex data preprocessing, filtering, and manipulation; Oncology franchise studies; applying oncology concepts; experience programming with oncology therapeutic area clinical endpoint data (efficacy and safety) and pharmacokinetic data (raw concentration data and derived PK parameters); Experence leading study programming deliverables for multiple studies. Requires 1 year of experience with at least one software other than SAS (e.g., R). The salary range for this role is $145,475.00 - $224,100.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at Compensation and Benefits Webpage. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively. San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance #J-18808-Ljbffr Merck