Job Description The Computational Toxicology group is dedicated to advancing in-silico methods that enhance the prediction and understanding of safety and toxicology for both small and large molecules. Team members will work with diverse biology-related datasets, ranging from pharmacology, toxicology, genomics, and chemistry, applying data science and machine learning techniques. The primary goal is to leverage data effectively and identify useful insights. This role focuses on leveraging computational expertise to process and analyze biological datasets for predictive modeling and novel safety-related discoveries. Responsibilities: Collaborate with research teams and data scientists to design and implement data-driven strategies, utilizing machine learning/AI methods to support discovery and preclinical safety studies. Work closely with scientists to co-develop tools and solutions tailored to the most relevant and pressing research problems, ensuring that computational approaches align with scientific objectives. Design, develop, and implement solutions with applications including, but not limited to, chemistry, in vitro, preclinical, clinical, and genomic datasets. Identify, curate, and process internal and external biology and safety-related datasets. Apply data science methodologies to harmonize and analyze complex datasets, uncovering associations that inform safety assessments. Develop predictive models, analytical tools, and intuitive user interfaces to translate computational findings into actionable insights, enabling safety risk prediction. Communicate results and methods clearly to both scientific and non-technical audiences, ensuring effective knowledge transfer across teams. Qualifications: Bachelor’s Degree with 4 or more years of relevant experience; Master’s Degree with 2 or more years of relevant experience. Ability to multitask and work within timelines. Theoretical and practical knowledge to carry out the job functions. Strong written and oral English communication skills. #J-18808-Ljbffr ZipRecruiter
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