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

Job Description

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.

Primary Activities:

• 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.

Required Education

• 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

Department Required Skills and Experience:

• 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

 

Position-Specific Required Skills and Experience:

• 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

 

Preferred Skills and Experience:

• 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

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Required Skills:

SAS Language

Preferred Skills:

Python (Programming Language), R Programming

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