Scientist, Statistical Programming - PKPD Oncology & Biomarkers; Hybrid

Job Description

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our company's renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state‑of‑the‑art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.

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.

• 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.

• 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
• MS in Computer or Data Science, Statistics, Applied Mathematics, Life Sciences, Engineering, or related fields.

• 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

• Open‑source 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

Effective September 5, 2023, employees in office‑based positions in the U.S. will be working a Hybrid work consisting of three total days on‑site per week, Monday – Thursday, although the specific days may vary by site or organization, with Friday designated as a remote‑working day, unless business critical tasks require an on‑site presence. This Hybrid work model does not apply to, and daily in‑person attendance is required for, field‑based positions;

facility‑based, manufacturing‑based, or research‑based positions where the work to be performed is located at a Company site; positions covered by a collective‑bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met…