Lead Statistical Programmer, Early Oncology Development

Merck & Co.; Upper Gwynedd Township (Montgomery County); On-site; USD 173,200 - 272,600; Full time

Job summary

Merck & Co. is seeking a Senior Statistical Programmer in BARDS to partner with statisticians on strategic analyses for early stage development.

The role focuses on increasing efficiency and compliance by delivering non-standard analyses with SAS/R, and collaborating across Statistics, Clinical Research, Data Management, Regulatory, Clinical Safety, and PK/PD Modeling. The successful candidate will develop and implement programming standards, lead cross-functional teams, and tackle large,

Qualifications

• Minimum 12 years SAS/R programming in a clinical trial environment with BA/BS, or 10 years with MS.
• Experience developing analyses and reporting deliverables for R&D projects (datasets, analyses, tables, graphics, listings).
• Ability to design complex programming algorithms and interpret analysis plans.

Responsibilities

• Provide technical consultation and analytical support to early development statisticians for exploratory analyses.
• Address operational challenges with strategic solutions across early oncology development.
• Develop programming standards to enable efficient, high-quality production of deliverables.
• Lead departmental strategic initiative project teams and collaborate with multiple stakeholders.

Skills

SAS programming

R programming

Clinical trial programming

Data steps and SAS/GRAPH

Leadership across programs

Strategic thinking

Education

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

MS in related field with 10+ years SAS/R in clinical trials

Tools

SAS/macros

SAS/GRAPH

CDISC ADaM

Job description

Merck & Co. is seeking a Senior Statistical Programmer in BARDS to partner with statisticians on strategic analyses for early stage development.

The role focuses on increasing efficiency and compliance by delivering non-standard analyses with SAS/R, and collaborating across Statistics, Clinical Research, Data Management, Regulatory, Clinical Safety, and PK/PD Modeling. The successful candidate will develop and implement programming standards, lead cross-functional teams, and tackle large,