Senior Clinical Data Scientist
at Boehringer Ingelheim Pharmaceuticals, Inc. in Ridgefield, CT (Telecommuting permitted: work may be performed in any location in the U.S.)
Job Duties
- Transform, analyze, and report data from clinical trials (Phase I-IV) and support related projects with established Boehringer experience.
- Handle data from research and development sources like registries and real-world databases for specific use cases or projects.
- Stay updated on new data science transformation and analysis solutions, tools, and innovative processes.
- Present validated data science stories to colleagues within and outside Boehringer, with basic knowledge in data science.
- Ensure data transformation and analysis meet completeness, correctness, and adhere to guidelines, SOPs, and GxP requirements.
- Support internal and external colleagues, customers, and providers on data science tasks.
- Participate in or lead cross-functional internal working groups on data science topics.
- Promote collaboration within BDS and with other units at Boehringer.
- Contribute to and review key study documents produced by various teams.
Work Schedule
40 hours per week (8:00am to 5:00pm)
Job Requirements
Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, or related field with 3 years of relevant experience OR Bachelor's degree in the same fields with 5 years of experience.
Must have experience with:
- Pharmaceutical industry, CROs, regulatory bodies, or academia;
- SAS or R programming;
- Clinical trial development process;
- Leading projects/studies;
- Data science principles and statistical concepts;
- Transforming, analyzing, interpreting, and reporting clinical data;
- Statistical methodologies and trial design;
- Working on global and remote teams;
- Issue identification and interaction with stakeholders;
- Implementing SOPs in clinical development;
- Generating and validating CDISC-compliant ADaM datasets;
- Creating tables, figures, listings (TFL);
- Reviewing SAPs and protocols;
- Developing SAS programming specifications and mock-ups;
- Writing SAS programs for data mapping and reporting;
- Reviewing CRF design and data transfer specifications;
- Performing survival analysis and implementing CTCAE grading.
Up to 10% domestic travel required.