Scientist, Stat. Programming - Late-Stage Oncology; Hybrid

Position: Scientist, Stat. Programming - Late-Stage Oncology (Hybrid)
** Job Description
** Statistical Programming is in the Biostatistics and Research Decision Sciences (BARDS) department within our Research & Development Division, 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 the analysis and reporting of our companies 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 companies scientists and health authorities to inform decision making about the effectiveness and safety of our companies 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

Activities:

*** Contribute to the development and validation of datasets, tables, listings, and graphics required for decision making about our companies 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 and Minimum Requirement:
*** 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
** or
* ** MS in Computer or Data Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related fields
*
* 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
* Ability and interest to work with worldwide team members across cultures and time zones
* Operating Systems and database experience
** eligible for

ERP
* *** SPjobs
* *** BARDS
2020
* *** VETJOBS
* *** EBRG
* **
* Required Skills:

** Accountability, Clinical Trials, Computer Science, Data Analysis, Data Management, Data Modeling, Mechatronics, Numerical Analysis, Parasitology, Pharmacodynamics, Pharmacogenomics, Pharmacokinetics, Pharmacotherapeutics, R&D Management, Software Development, Stakeholder Relationship Management, Statistical Programming, Technical Consulting, Waterfall Model
** Preferred

Skills:

** Current Employees apply

Current Contingent Workers apply
** US and Puerto Rico Residents Only:
** Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please  if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable…