Scientist, Statistical Programming (Hybrid)

MSD•North Wales, PA

1d•$96,200 - $151,400•Hybrid

About The Position

This position is within the Biostatistics and Research Decision Sciences (BARDS) department at our company’s Research & Development Labs, supporting the targeting, discovery, development, manufacturing, and marketing of drugs and vaccines. The role provides high-quality statistical programming deliverables for global stakeholders in Early Development Statistics and/or PK/PD Modeling and Simulation across all therapeutic areas. The senior statistical programmer will gather and interpret user requirements, retrieve and transform data into analysis/modeling datasets, and develop tables, listings, and figures according to analysis plans. They will collaborate with stakeholders to solve problems and improve efficiency and compliance. Additionally, the programmer will write programs for statistical methods not available in commercial software and will be a key collaborator with statisticians, pharmacokinetic modelers, and other project stakeholders.

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/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
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
Interest and ability to work in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements
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
Clinical Trials
Data Management
Data Manipulation
Data Modeling
Numerical Analysis
Programming Languages
Software Development
Stakeholder Relationship Management
Stakeholder Reporting
Statistical Analysis
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)
Knowledge of CDISC SDTM and ADaM standards
Ability and interest to work across cultures and geographies
An interest in professional societies
Generative AI
PKPD Modeling
Python (Programming Language)
R Programming
Statistical Analysis Systems (SAS) Programming
Study Data Tabulation Model (SDTM)
Translational Pharmacokinetics and Pharmacodynamics (PKPD)

Responsibilities

Programmatically develop, validate and maintain datasets, tables, listings, and figures
Assure deliverable quality and compliance with departmental SOPs and good programming practices
Collaborate effectively with project team members including outsource provider staff
Gather and interpret user requirements for programming requests
Retrieve required data
Transform data into analysis/modeling datasets
Develop tables, listings and figures according to statistical/modeling analysis plan
Partner with stakeholders to solve problems
Reduce the amount of programming tasks being completed by stakeholders to facilitate an increase in efficiency and compliance for the analyses
Write programs to analyze data with statistical methods which are not currently available through commercial software packages