Scientist, Statistical Programming- Hybrid

Job Description

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our 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.

Statistical programmers have a key role in the analysis and reporting of our company’s clinical trial databases. The statistical programmer uses their analytical skills to programmatically develop and deliver analysis datasets, tables, listings, and graphics. These deliverables are then utilized by our company’s scientists and health authorities to inform decision making about the effectiveness and safety of our company’s drugs and vaccines.

Statistical programmers support all therapeutic areas and every phase of drug development in partnership with scientists across our Research & Development division.

This entry level statistical programming position develops and executes statistical analysis and reporting deliverables under the guidance of a senior level programmer. 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 Responsibilities:

• Contribute to the development and validation of datasets, tables, listings, and graphics required for decision making about our company’s products.

• Attend training in key software languages and clinical trial processes required to conduct statistical analysis and reporting.

• 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 2-3 years SAS programming experience in a clinical trial environment or MS in Computer or Data Science, Statistics, Applied Mathematics, Life Sciences, Engineering, or related fields.

Required skills and experience:

• Data analysis experience and programming skill

• Ability to collaborate effectively with others on a team, take direction effectively, and complete programming tasks on time.

• Written, oral, and presentation skills.

• Capability to learn programming languages and new programming techniques.

• Motivated to advance career by investing in development activities and taking on responsibilities with increasing levels of challenge.

• Programming experience in a clinical trial environment

• Proficiency with SAS, R or Python

• Knowledge and experience in developing analysis and reporting deliverables for research and development projects (data, analyses, tables, graphics, listings)

• knowledge of standard operating procedures and software development life cycle.

• …