Scientist, Stat. Programming - Late-Stage Oncology (Hybrid)

Role Summary

Statistical Programming is in the Biostatistics and Research Decision Sciences (BARDS) department within the Research & Development Division, supporting the targeting, discovery, development, manufacturing, and marketing of drugs and vaccines for the benefit of patients and global public health. Statistical programmers analyze and report on clinical trial data, developing and delivering analysis datasets, tables, listings, and graphics used by scientists and health authorities to inform decisions about effectiveness and safety. They support all therapeutic areas and phases of drug development in partnership with BARDS scientists. This entry-level position develops and executes statistical analysis and reporting deliverables under guidance, collaborating with programming colleagues, 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.

Responsibilities

• Contribute to the development and validation of datasets, tables, listings, and graphics used for decision making about our 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

Qualifications

• 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
• Ability and interest to work with worldwide team members across cultures and time zones
• Operating Systems and database experience

Education

• BA/BS in Computer or Data Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field with data analysis or programming experience in a professional environment
• MS in Computer or Data Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related fields