Hybrid Statistical Programmer: Early-Stage Oncology

MSD; Pennsylvania; Hybrid; USD 96.000 - 151.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Annual bonus

Long-term incentive

Zusammenfassung

MSD is seeking a Scientist, Statistical Programming to support early-stage oncology programs in a hybrid work model (Pennsylvania/NJ). You will develop, validate, and maintain analysis datasets, tables, listings, and figures under supervision, ensuring high quality deliverables for regulatory submissions.

The role requires SAS programming experience in clinical trials, knowledge of CDISC ADaM/SDTM, and collaboration with project teams and external vendors.

Qualifikationen

• BA/BS in a related field plus 2 years SAS programming experience in a clinical trial environment
• MS in a related field is preferred
• Experience with SDTM and ADaM preferred

Aufgaben

• Develop, validate, and maintain efficacy and safety datasets, tables, listings, and figures at a protocol level
• Ensure deliverable quality and compliance with SOPs and programming standards
• Collaborate with project teams and outsource provider staff on reporting deliverables

Kenntnisse

SAS programming

CDISC ADaM

SDTM

Statistical programming

Data management

Interpersonal communication

Negotiation

Unix

R programming

Ausbildung

BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field

MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field

Tools

SAS

R

Jobbeschreibung

MSD is seeking a Scientist, Statistical Programming to support early-stage oncology programs in a hybrid work model (Pennsylvania/NJ). You will develop, validate, and maintain analysis datasets, tables, listings, and figures under supervision, ensuring high quality deliverables for regulatory submissions.

The role requires SAS programming experience in clinical trials, knowledge of CDISC ADaM/SDTM, and collaboration with project teams and external vendors.