The ideal candidate will have a strong background in scientific research and expertise in machine learning for chemical and biological data. They should be proficient in programming languages such as Python or R, and have knowledge of cheminformatics and toxicology.
Key Responsibilities
* Develop Predictive Models: Design and develop models to predict toxicological risks based on complex data sets.
* Collaborate with Discovery Teams: Work closely with project teams to provide digital safety assessments and support the integration of diverse data types.
* Analyze Historical Data: Reuse historical data to inform current programs and identify areas for process improvement.
* Identify Challenges and Opportunities: Collaborate with colleagues across departments to identify pain points and develop impactful solutions.
Requirements
* Scientific Background: A relevant scientific field is essential for this role.
* Machine Learning Experience: Experience with machine learning for chemical and biological data is required.
* Clinical Knowledge: Knowledge of cheminformatics and toxicology is necessary for this position.
* Programming Skills: Proficiency in programming languages such as Python or R is essential.
* Communication Skills: Strong collaboration and communication skills are required for this role.
This is an exciting opportunity to contribute to the development of innovative solutions that predict toxicological risks and translate data into actionable insights. If you are a proactive and creative scientist with a passion for machine learning and scientific research, we encourage you to apply.