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Regeneron Pharmaceuticals, Inc (USA) is seeking a Manager Statistical Programming responsible for overseeing programming for clinical studies from data processing to regulatory approval. The role includes developing programming standards and leading deliverables.
The ideal candidate will have a Master’s degree and significant SAS programming experience, demonstrated project management ability, and expertise in CDISC standards. This position offers a competitive salary range and comprehensive benefits.
Onsite only; remote not eligible.
A Manager Statistical Programming provides timely support to the study team on all programming matters per project strategies. The incumbent leads programming for processing data from clinical studies, overseeing deliverables from single study through regulatory approval, product launch, data monitoring boards and annual reports. The role includes implementation of programming standards, code maintenance, and adherence to regulated environment.
Annual salary range: $128,600 - $210,000 (U.S. based positions).
The company offers comprehensive benefits that vary by location, including health, dental, vision, life and disability insurance, fitness centers, 401(k) with company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave).
Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or other protected characteristic in accordance with applicable laws and regulations. The company will provide reasonable accommodation for known disabilities or chronic illnesses of otherwise qualified applicants unless it would impose undue hardship.