12 Month University Industrial Placement Student: Biometrics - AI Science Specialist
Core
Apply AI, machine learning, and data science to support oncology drug development, specifically enhancing scientific literature search and evidence gathering workflows.
Role type
University Industrial Placement Student (AI Science Specialist)
Builds
AI-enabled tools for scientific literature search and evidence discovery
Domain
Pharmaceutical R&D / Oncology Biometrics
Deliverable
product features
Required skills
Python, R, or Julia coding; Artificial intelligence and machine learning basics; Data analysis; Automation; Problem-solving
Preferred skills
Natural language processing; AI libraries (scikit-learn, TensorFlow, PyTorch, spaCy); Data visualization (Power BI, Tableau, matplotlib); Version control (Git)
Technologies
Python, R, Julia, scikit-learn, TensorFlow, PyTorch, spaCy, Power BI, Tableau, matplotlib, Git
Responsibilities
Apply coding and analytical skills to real business challenges; Develop experience using Python, R, or similar tools to support data analysis and automation; Apply AI and machine learning techniques to scientific or operational problems; Explore innovative technologies that enhance knowledge discovery and workflow efficiency; Contribute to internal team activities and functional forums; Present work to different audiences
Seniority
Student placement
