Data Scientist for Product Sustainability at Roche managing environmental data for sustainability reporting. Bridging Global Sustainability Experts and IT systems to ensure actionable insights for product emissions and compliance.
About the role
- Data Scientist leading and scaling data science initiatives for drug discovery at AQEMIA. Collaborating within the interdisciplinary Platform department to optimize molecule search methods.
Responsibilities
- Design and improve data-driven methods to benchmark and optimise in silico screening techniques.
- Develop models (bayesian optimisation for instance) and analyses to configure optimal screening workflows for each target.
- Guide compound selection strategies through quantitative, evidence-based approaches.
- Mentor and support data scientists within the Platform team, promoting scientific excellence and skill development.
- Contribute to cross-functional technical strategy, working closely with engineers and ML scientists to improve tools, workflows, and model reliability across AQEMIA’s platforms.
- Drive applied research projects in areas such as uncertainty quantification and propagation within Binding Free Energy pipelines.
- Promote cross-department collaboration, aligning Platform’s data efforts with evolving needs in Chemistry, ML, and Engineering.
Requirements
- PhD (or equivalent experience) in Data Science, Physics, Applied Mathematics, Computational Chemistry, or related fields.
- 10+ years of experience applying advanced data science methods to complex scientific problems.
- Proven leadership in driving multi-stakeholder, high-impact scientific projects.
- Strong programming skills in Python and experience with scientific computing.
- Deep expertise in data analysis, statistical modeling, bayesian optimisation and decision-making in R&D environments.
- Strategic mindset with the ability to influence technical direction across teams.
- Nice-to-Have: Experience in virtual screening, cheminformatics, or molecular modeling.
- Familiarity with tools like RDKit, SMILES, OpenMM, or experience working with molecular simulation outputs.
- Knowledge of high-performance computing or cloud-based scientific workflows.
Benefits
- Polite note: UK visa sponsorship not currently available for this role at this time
- Strong Financial Backing: $100M raised from leading European and International investors
- Relocation support and French lessons granted if needed
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Scientist at Roche leading data science projects for healthcare analytics. Collaborating with cross - functional teams to drive strategic decision - making and optimize business outcomes.
Staff Data Scientist guiding the implementation of machine learning models and deep learning tools at Blue Yonder. Collaborating with cross - functional teams to deliver retail solutions for data science and ML applications.
Data Scientist I developing AI solutions for a leading supply chain company. Innovating and collaborating on cutting - edge AI technologies within diverse teams.
Insights & Analytics Lead managing consumer insights and research projects at Kimberly - Clark. Leading strategic initiatives to drive value creation across Asia's markets.
Lead consumer insights projects and analyses across Asia for Kimberly - Clark’s Family Care brands. Drive strategies through deep understanding of consumer needs and market trends.
Software Development role at GDIT requiring a TS/SCI clearance with Polygraph. Engaging in government projects for software innovation and development in Virginia.
Coordenador de Ciência de Dados leading the data team in developing analytical solutions for Caixa Vida e Previdência. Focused on data science and project coordination in a collaborative environment.
Lead and deliver AI initiatives focusing on traditional machine learning and generative AI for Mashreq Bank. Build, scale, and productionize models for business transformation and operational efficiency.
Data Scientist designing and implementing analytical solutions using Python and AI technologies. Collaborating cross - functionally to deliver Generative AI solutions for business needs in a hybrid setup.