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

Role Summary

Scientist, Stat. Programming - Late-Stage Oncology (Hybrid) is an entry-level statistical programming role within the Biostatistics and Research Decision Sciences (BARDS) department of the Research & Development division. The position analyzes and reports on clinical trial data by programming analysis datasets, tables, listings, and graphics used by scientists and health authorities to inform decisions about drug and vaccine effectiveness and safety. The role collaborates with biostatisticians, epidemiologists, data management, medical writing, and clinical operations to gather and document requirements for statistical programming deliverables, under the guidance of a senior programmer.

Responsibilities

• Contribute to the development and validation of datasets, tables, listings, and graphics required 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

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

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

Skills

• 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

Additional Requirements

• Travel Requirements: 10%
• Hybrid work arrangement in the U.S. with three on-site days per week (Mon–Thu) and remote on Fridays; specifics may vary by site