Scientist, Statistical Programming - PKPD Oncology & Biomarkers (Hybrid)

MSD • North Wales, PA

2d • Hybrid

About The Position

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. Responsibilities: 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.
• 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
• Accountability
• Clinical Trials
• Data Analysis
• Data Management
• Data Science
• Identifying Problems
• Programming Languages
• Statistical Programming

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.

Benefits

• The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
• We offer a comprehensive package of benefits.
• Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days.
• More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level