Senior Scientific Programming Lead - Vaccines

Sanofi

Waltham (MA)

Sur place

USD 150 000 - 190 000

Plein temps

Il y a 2 jours
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Résumé du poste

Sanofi is seeking a Project Programming Lead within our Vaccines Biostatistical Sciences team. You will lead the scientific programming for large projects, overseeing all programming activities through late-stage clinical development and post-marketing.

You will collaborate globally, coordinate outsourcing, and mentor junior staff to ensure compliant, timely outputs. The role emphasizes leadership, automation, and cross-functional collaboration with project statisticians and external resources

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science or related health sciences field.
  • 7+ years of hands-on experience in SAS or R programming, proficiency in CDISC standards (SDTM/ADaM) and regulatory submission requirements.

Responsabilités

  • Lead scientific programming deliverables with leadership and hands-on support for high-quality outputs.
  • Plan and track programming activities, timelines, and resources in a global setting.
  • Maintain consistency in specifications and programming deliverables across studies and analyses.
  • Lead regulatory submission activities ensuring CDISC data packages meet Health Authority expectations.
  • Coordinate outsourcing engagements and manage CRO partnerships from a business perspective.

Connaissances

SAS
R programming
CDISC SDTM/ADaM
Regulatory submissions
English fluency

Formation

Bachelor's degree in Statistics / Mathematics / CS or related health sciences

Description du poste

Sanofi is seeking a Project Programming Lead within our Vaccines Biostatistical Sciences team. You will lead the scientific programming for large projects, overseeing all programming activities through late-stage clinical development and post-marketing.

You will collaborate globally, coordinate outsourcing, and mentor junior staff to ensure compliant, timely outputs. The role emphasizes leadership, automation, and cross-functional collaboration with project statisticians and external resources

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