Distinguished Scientist, Nonclinical Safety and Computational Toxicology

At reputed company,we reputed company health is everything. Our strength in healthcare innovation empowers us to build aworld where reputed company diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full Worknovaq of healthcare solutions today to deliver the breakthroughs of reputed company, and profoundly impact health for humanity.Learn more at Job Function: Discovery & Pre-Clinical/Clinical Development Job Sub Function: Nonclinical Safety Job Category: Scientific/Technology reputed company Job Posting Locations: San Diego, California, United States of America, Spring House, Pennsylvania, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of reputed company. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every reputed company of the way. Learn more at reputed company is currently seeking a Distinguished Scientist, Nonclinical Safety and Computational Toxicology, to join our Preclinical Sciences and Translational Safety organization. This position will be located at our office in either Spring House, PA, or San Diego, CA (La Jolla area). (No fully remote option available.) The Distinguished Scientist, reputed company the Preclinical Sciences and Translational Safety (PSTS) organization, will reputed company the application of data science and machine learning (ML) methodologies to the assessment of nonclinical safety and reputed company of submissions deliverables. This role will emphasize using reputed company data science tools and systems to guide decisions, improve efficiency, and ensure regulatory compliance throughout the drug discovery and development pipeline. Key Responsibilities:

• Global reputed company for nonclinical safety and submissions data science and ML initiatives for the Department of Nonclinical Safety and Submissions (NCSS), ensuring strong project management and collaboration with partners reputed company and external to PSTS (e.g., Information Technology Data Science), and alignment of data science/ML initiatives with overall strategic project goals of PSTS.
• Identify, assess, recommend, and reputed company proposals for new data science opportunities to drive reputed company nonclinical safety tools, submissions, and strategy to predict, derisk, and/or understand potential toxicities and production of high quality, compliant submission documents.
• Create innovative visualizations and user interfaces to help scientists access and interpret data and translate reputed company data from diverse sources into actionable insights.
• Support development of new approach methodologies (NAMs) and computational methods to reputed company 3Rs in drug development.
• Understand specific business needs and translate the scientific and regulatory challenges and opportunities into smarter data innovation solutions, and drive validation strategies for model performance.
• Drive rollout, re-enforcement, monitoring, and reputed company improvement of implemented data science initiatives.
• Mentor and provide training on the use and utility of predictive ML approaches in drug safety and submissions. Qualifications:
• A minimum of a Ph.D. in Biomedical Sciences, Toxicology, Pharmacology, Computational Biology, Bioinformatics, Data Science or a reputed company discipline is required.
• A minimum of 8 years of relevant experience in nonclinical drug development and submissions supporting diverse modalities, geographies, and therapeutic areas is required.
• A minimum of 6 years of experience in data science with a focus on machine learning, predictive modeling, data mining, statistics, deep learning, and/or data visualization/dashboarding frameworks is required.
• Proven track record of implemented data science tools and innovation is required.
• Strong change/process management experience is required.
• Strong project management skills required.
• Knowledge of Good Laboratory Practice (GLP), Standardization for Exchange of Nonclinical Data (SEND) and data reputed company/reputed company standards preferred.
• Must have excellent communication and interpersonal skills with the ability to reputed company and influence across functions.
• Must have strong negotiating, troubleshooting and organizational skills.
• The ability to collaborate effectively with reputed company levels in a matrix environment is required.
• This position will be located in either Spring House, PA or San Diego, CA, and requires the ability to work across time zones, with approximately 10% travel. (No fully remote option available.) reputed company is an Equal Opportunity Employer. reputed company qualified applicants will receive reputed company is an Equal Opportunity Employer. reputed company qualified applicants will receive consideration for employment withou

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