Leading Data Scientist for Advanced Healthcare Solutions
hace 3 semanas
Raise your expertise as a senior data scientist within our vibrant team, leveraging innovative approaches to propel healthcare forward.
About F. Hoffmann-La Roche GruppeWe're a pioneering force in the pharmaceutical industry, dedicated to advancing human health. As part of our dynamic team, you'll contribute to cutting-edge research and discovery, shaping the future of healthcare together with us.
Salary: €120,000 - €180,000 per annumYour annual salary will be commensurate with your experience, skills, and qualifications, reflecting our commitment to recognizing and rewarding talent.
Job DescriptionThe PositionYou will join our multidisciplinary agile teams in the Roche Informatics Data and Analytics Chapter (DnA), driving the development and implementation of advanced data science products. Your focus will be on natural language processing (NLP) leveraging large language models (LLMs) and generative AI tools.
- Design and implement analytical solutions to generate deeper insights from various data sources.
- Support proactive identification of relevant LLM/NLP use cases and collaborate with stakeholders.
- Develop and refine models addressing business needs, ensuring optimal performance and providing valuable insights.
• Collaborate within global agile teams to develop high-value products for both Roche Pharma and Diagnostics business stakeholders.
• Provide methodical guidance and hands-on support around analytical LLM/NLP use cases.
• Evaluate pros and cons of different NLP approaches and Generative AI platforms through comprehensive quantitative and qualitative analysis.
• Communicate findings and market the value of use cases to key stakeholders.
To succeed in this role, you will need:
- M.Sc. or PhD in Computer Science, Physics, Statistics, Mathematics, or equivalent degree and experience with machine learning/data mining/artificial intelligence.
- At least 5 years of hands-on experience as a Data Scientist.
- Familiarity with essential frameworks (e.g., PyTorch) and infrastructure components (Docker, GPU) for training, fine-tuning, and evaluating NLP tasks.
- Experience implementing RAG, working with knowledge databases, and using LLM through APIs.
- Proven experience deploying LLM models with cloud platforms (AWS, Azure) and machine learning workbenches for robust and scalable productionization.
We offer an inclusive work environment, international opportunities, and career growth prospects. Join us to drive innovation, advance patient care, and grow professionally.
Please note that the job description is subject to change based on business requirements.
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