Scientist, Statistical Programming (Hybrid)

Primary Activities:
- Programmatically develop, validate, and maintain datasets, tables, listings, and figures.
- Assure deliverable quality and compliance with departmental SOPs and good programming practices.
- Collaborate effectively with project team members, including outsource provider staff.

Responsibilities:
- Gather and interpret user requirements for programming requests.
- Retrieve required data and transform it into analysis/modeling datasets.
- Develop tables, listings, and figures according to the statistical/modeling analysis plan.
- Write statistical programming analyses where methods are not available in commercial software.
- Partner with statisticians, PK modelers, and other stakeholders to solve problems and improve efficiency/compliance.

Required Education:
- BA/BS in Computer/Data Science, Statistics, Applied Mathematics, Life Sciences, Engineering, or related field plus 2+ years of SAS/R programming in a clinical trial setting; OR MS in a related field.

Required Skills/Experience:
- Solid SAS or R programming for data manipulation, analysis, and reporting.
- Interpersonal, negotiation, and collaboration skills.
- Written/oral/presentation skills.
- Ability to learn new techniques (incl. multilingual/GenAI skills), data structures, and data standards quickly.
- Ability to identify data issues and understand complex data structures.
- Ability to take direction and complete programming tasks at the project level.
- Works in an exploratory environment with non-standard data.

Preferred Skills/Experience:
- Python/open-source programming; Generative AI experience.
- Comprehend analysis plans and statistical concepts.
- Reporting processes (SOPs) and SDLC.
- CDISC SDTM and ADaM; PK/PD modeling.

Application:
- Apply at https://jobs.merck.com/us/en (or Workday Jobs Hub for current employees).