onsite
Senior Data Science Scientist - Cytiva
Data Scientist
Lead advanced data science projects in life sciences, developing machine‑learning models and statistical analyses using Python and cloud platforms to drive diagnostic and biotechnological innovation.
About the role
Key Responsibilities
- Design, develop, and deploy machine‑learning models and advanced analytics pipelines to solve complex problems in diagnostics and biotechnology.
- Collaborate with cross‑functional scientists and engineers to translate experimental data into actionable insights.
- Implement statistical modeling and data‑visualization solutions that support product development and process optimization.
- Leverage cloud services (e.g., AWS) for scalable data processing, model training, and deployment.
- Publish findings in internal reports and external scientific venues, and mentor junior data scientists.
Requirements
- Ph.D. or equivalent experience in Computer Science, Statistics, Bioinformatics, or a related quantitative field.
- 5+ years of hands‑on experience with Python, machine‑learning frameworks (e.g., scikit‑learn, TensorFlow, PyTorch), and statistical analysis.
- Proven ability to work with large, heterogeneous biological datasets and to communicate results to non‑technical stakeholders.
- Experience deploying models and data pipelines on AWS or similar cloud platforms.
- Strong problem‑solving mindset, collaborative attitude, and a track record of publishing scientific or technical work.
Skills
pythonmachine learningaws