Senior Scientist, Computational Safety & Exploratory Pharmacology Full-time

Nonclinical Drug Safety Biomedical Engineer

The Nonclinical Drug Safety (NDS) division at our company is seeking a motivated and talented biomedical engineer or integrative systems scientist with experience in signal processing and/or computational modeling using physiologic signals to join our Safety & Exploratory Pharmacology group. The Safety & Exploratory Pharmacology (SEP) collaborates with our discovery research, preclinical, and clinical development partners to identify and develop effective, safe therapeutics. To that end, SEP utilizes a purposeful blend of standard screening tools, regulatory-enabling assays, fit for purpose capabilities and forward-looking innovative solutions to understand potential major organ system pharmacodynamic risk to influence drug development strategy. To enhance that mission, we are looking for a MS or early-career PhD level individual contributor that will complement existing areas, expand the team's expertise, and help drive future innovation. The successful candidate will have demonstrated experience in areas detailed below and will possess the attributes and interest in developing their career toward increasing levels of responsibility and independence within our team.

Key responsibilities will include:

• Analyzing physiologic signals to contribute to risk assessment evaluations and developing data visualizations for scientific exploration
• Building new in vivo analysis tools (signal processing, machine learning, AI) for nonclinical data and refining or developing new endpoints
• Working with external vendors to identify and incorporate potential solutions
• Collaborating with internal data science and IT teams to implement data tools
• Integrating new analysis workflows into SEP
• Contributing to SEP initiatives to develop and characterize novel alternative methods (NAMs) with in vitro scientists

Qualifications:

Education:

• Bachelor's (with 7+ years), Master's (with 4+ years) or Ph.D. in Biomedical Engineering, Bioengineering, Computational Biology, or related scientific field with relevant experience in the collection and computational analysis of physiologic signals (e.g. ECG, EEG, blood pressure) and a background in pharmacology, physiology, biology, biomedical sciences, or toxicology

Required Experience and Skills:

• Experience with nonclinical signal analysis
• Proficiency with programming tools (Python, MatLab, R) for physiological signal analysis, feature extraction, and/or development of computational models (including AI tools and workflows)
• Previous experience working with physiological, continuous, time-series data sets (including visualization, analysis, and/or interpretation)
• Motivation and enthusiasm to expand programming/analysis skill set and learn new software tools
• Ability to work within teams as a contributor and enable collaborations across departments that deliver current needs and future capabilities
• Ability to collaborate with both laboratory scientists and data scientists/IT specialists
• Excellent communication skills and ability to translate complex technical issues to laboratory scientists

Preferred Experience and Skills:

• Nonclinical signal analysis experience in cardiovascular, neuroscience, or respiratory endpoints
• Experience with statistical and data visualization tools and libraries
• Experience with cloud computing environments
• Previous exposure to data science best practices and reproducibility
• Prior experience working in a multidisciplinary environment within the Pharmaceutical Industry
• Willingness to influence safety pharmacology science through active participation in external consortiums, publications, and/or scientific presentations

Required Skills:

Cardiovascular Research, Computational Models, Data Visualization, Machine Learning (ML), Neuroscience, Pharmacology, Python (Programming Language), Respiratory Pharmacology, Risk Assessments, Safety Pharmacology, Signal Analysis

Preferred Skills: