Scientist, Stat. Programming - Early Phase Oncology (Hybrid)

MSD•North Wales, PA

2d•Hybrid

About The Position

Statistical Programming is in the Biostatistics and Research Decision Sciences (BARDS) department at our company’s Research & Development Labs which supports the targeting, discovery, development, manufacturing, and marketing of drugs and vaccines for the benefit of patients and global public health. Statistical programmers have a key role in analyzing and reporting our company’s clinical trial databases. They use their analytical skills to programmatically develop and deliver analysis datasets, tables, listings, and graphics. Our company’s scientists and health authorities then utilize these deliverables to inform decision-making about the effectiveness and safety of our company’s drugs and vaccines. Statistical programmers, in partnership with scientists across our Research & Development division, support all therapeutic areas and every phase of drug development. This entry-level statistical programming position develops and executes statistical analysis and reporting deliverables under the guidance of a senior-level programmer supporting early-phase oncology clinical trials. The statistical programmer will collaborate with other programming colleagues and biostatisticians and/or epidemiologists within BARDS, as well as stakeholders in data management, medical writing, and clinical operations to gather and document requirements for statistical programming deliverables.

Requirements

BA/BS in Computer or Data Science, Statistics, Applied Mathematics, Life Sciences, Engineering, or related field plus a minimum of 2 years of SAS and/or R programming in a clinical trial setting OR MS in Computer or Data Science, Statistics, Applied Mathematics, Life Sciences, Engineering, or related fields with SAS and/or R skills
Good interpersonal skills and ability to negotiate and collaborate effectively
Good written, oral, and presentation skills
Knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings)
Takes direction effectively and completes tasks at a project level; ability to collaborate with key stakeholders
Solid SAS or R programming experience for data manipulation, analysis and reporting
Interest and ability to work in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements
Ability to learn new program techniques, multilingual skills, Gen AI skills, as well as data structures and data standards quickly and effectively
Takes direction effectively and completes programming tasks under the guidance of a senior programmer at a project level
Ability to identify data issues and understand complex data structure
An interest in advancing career by investing in development activities and taking on tasks with increasing levels of challenge and responsibility

Nice To Haves

Opensource programming languages such as Python, Gen AI knowledge and experience
Ability to comprehend analysis plans which may describe the methodology to be programmed; understanding of statistical concepts
Good working knowledge of reporting processes (SOPs) and software development life cycle (SDLC)
Ability and interest to work across cultures and geographies

Responsibilities

Contribute to the development and validation of datasets following CDISC standards.
Generate tables, listings, and graphics required for clinical trial decision-making, regulatory requests, clinical study reports, and new drug application filling.
Produce SAS data transport files and program text files for regulatory submission.
Assure high quality and timely deliverables.
Communicate and collaborate effectively with project team members.