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Scientist – Statistical Programming
| Company | Inventing for Life |
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| Location | Linden, NJ, USA |
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| Salary | $94300 – $148500 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Mid Level |
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Requirements
- Must have a master’s degree in computer science, Data Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field
- OR a bachelor’s degree in computer science, Data Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus at least 2 years SAS programming experience in a clinical trial environment.
- Must possess SAS programming skills including data steps, procedures, SAS/MACRO, SAS/GRAPH.
- Knowledge and skills in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings) also required.
- Must possess ability to identify data issues and understand complex data structure; to quickly and effectively learn new program techniques and data structures; to take direction effectively and complete programming tasks under the guidance of a senior programmer at a project level; and to collaborate with key stakeholders.
- Must have an interest and ability to work in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements; and an interest to advance career by investing in development activities and taking on tasks with increasing levels of challenge and responsibility.
- Good interpersonal skills and ability to negotiate and collaborate effectively; good written, oral, and presentation skills required.
Responsibilities
- Develop and execute statistical analysis and reporting deliverables under the guidance of a senior-level programmer supporting early-phase oncology clinical trials.
- 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.
- 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 filing.
- 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.
Preferred Qualifications
No preferred qualifications provided.
