Scientist, Statistical Programming, Early-Stage Oncology (Hybrid)

MSD•Rahway, PA

7d•Hybrid

About The Position

This position in BARDS (Biostatistics and Research Decision Sciences), within the Research and Development division, supports statistical programming for early-stage oncology clinical development projects. The role develops and executes statistical analysis and reporting datasets, tables, listings, figures, and submission deliverables under the guidance of a senior-level programmer. It performs validation according to departmental SOPs and collaborates with an outsource partner on medical monitoring report development, validation, and deployment. The programmer also works with statistics and other project stakeholders to gather and document requirements for programming deliverables. The role is based primarily in North Wales, Pennsylvania, with a hybrid work arrangement and travel requirements of 10%. The position is regular employment, with no relocation or visa sponsorship. Compensation for the primary location is $96,200–$151,400, with eligibility for an annual bonus and long-term incentive, if applicable. Benefits include medical, dental, vision, and other insurance; retirement benefits, including a 401(k); paid holidays; vacation; and compassionate and sick days.

Requirements

Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering, or a related field, plus at least 2 years of SAS programming experience in a clinical trial environment; alternatively, a master’s degree in one of these fields is listed as an education qualification.
SAS programming experience, including data steps, procedures, SAS/MACRO, and SAS/GRAPH.
Knowledge of CDISC SDTM and ADaM standards.
Knowledge and experience developing analysis and reporting deliverables for R&D projects, including data, analyses, tables, graphics, and listings.
Good interpersonal skills and the ability to negotiate and collaborate effectively.
Good written, oral, and presentation skills.
Ability to learn new programming techniques and data structures quickly and effectively.
Ability to take direction and complete project-level tasks under senior programmer guidance.
Interest in career development and willingness to take on tasks with increasing challenge and responsibility.

Nice To Haves

R programming experience, including data derivation and analysis; highly preferred.
Knowledge of pharmaceutical development processes and clinical efficacy and safety endpoint data.
Unix operating system experience, and systems and database experience.
Good working knowledge of reporting processes (SOPs) and the software development life cycle.
Master’s degree in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering, or a related field.

Responsibilities

Programmatically develop, validate, and maintain protocol-level efficacy and safety datasets, tables, listings, and figures.
Ensure deliverable quality and compliance with departmental SOPs and good programming practices.
Collaborate with project team members, including outsource provider staff, on medical monitoring report development, validation, and deployment.
Work with statistics and other project stakeholders to gather and document user requirements for statistical programming deliverables.
Complete programming tasks at a project level under the guidance of a senior programmer.