Join the team at Thermo Fisher Scientific to contribute to global healthcare and scientific innovation by solving complex business challenges
Job Summary
Join the team at Thermo Fisher Scientific to contribute to global healthcare and scientific innovation by solving complex business challenges.
You will apply advanced analytics, machine learning, and AI techniques to develop sophisticated data science solutions that drive operational efficiencies.
The role offers the opportunity to work with advanced technologies while contributing to the mission of making the world healthier, cleaner, and safer.
Matching Summary
Join the team at Thermo Fisher Scientific to contribute to global healthcare and scientific innovation by solving complex business challenges.
Skills & Requirements
Must-have
Advanced proficiency in Python R and SQL
Expertise in scikit-learn TensorFlow and PyTorch
Strong knowledge of AWS or Azure cloud platforms
Experience with Spark and Databricks big data technologies
Proficiency in statistical analysis and experimental design
Nice-to-have
Experience with LLM and Agentic AI frameworks
Domain knowledge in life sciences or clinical research
Familiarity with NLP and deep learning techniques
Knowledge of DevOps practices and Git version control
Ability to present technical concepts to non-technical stakeholders
Key Requirements
Advanced Degree plus 3 years experience OR Bachelor's plus 5 years
Fields of study: Data Science Computer Science Statistics Mathematics
Strong problem-solving skills and attention to detail