Data Scientist R&D Lead
hace 3 días
Empresa Reconocida is seeking an experienced Data Scientist R&D Lead to join our Global Innovation Centre. This role will play a crucial part in driving innovation across Sanofi departments and providing a springboard for transforming our business while improving millions of lives.
About the Job:
The Data 4 New Technologies team focuses on developing methods to extract value from new life-sciences data sources, including digital biomarkers, IoT medical devices, imaging data, and other biomedical datasets. As a Data Scientist R&D Lead, you will work with diverse datasets to develop globally scalable AI solutions strategically prioritized by the Sanofi R&D area across Global Business Units (General Medicine, Vaccines, and Specialty Care) and Therapeutic Areas.
Key Responsibilities:
- Develop globally scalable AI solutions that accelerate drug development processes across Sanofi departments.
- Build models, algorithms, simulations, and experiments using highly optimized code and state-of-the-art machine learning technologies.
- Design and implement algorithms to generate insights and visualizations derived from Digital Biomarkers experiments.
- Use open-sources and state-of-the-art scripts and libraries to complement and enrich biomedical datasets.
- Work closely with product owners, developers, engineers, and MLOps to deliver AI/ML solutions.
Requirements:
- Experience developing methods for analyzing biomedical data.
- Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of theoretical foundations of AI/ML.
- Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, time series analysis, Bayesian statistics, signal processing.
- Excellent written and verbal communication, business analysis, data visualization, and data storytelling skills.
- A demonstrated ability to work and collaborate in an interdisciplinary team environment.
Skill Set:
- PhD in computational biology, computer science, mathematics, physics, statistics, or a related quantitative discipline with strong coding skills and 2+ years of analytical experience.
- Mastery of core data science languages (predominantly Python) and familiarity with different database systems (e.g., SQL, NoSQL).
- Comfortable working in cloud and high-performance computing environments (e.g., AWS, GCP, Databricks, Apache Spark).
Compensation: The estimated annual salary range for this position is between $120,000 and $180,000, commensurate with qualifications and experience.
We Offer:
- A dynamic and innovative work environment.
- Opportunities for professional growth and development.
- A competitive compensation package.
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