Data Scientist - Drug Discovery & AI
Core
Develop and deploy machine learning and predictive models to accelerate therapeutic projects through data-driven and in silico approaches in drug discovery.
Role type
Data Scientist (Drug Discovery & AI)
Builds
In silico drug design, molecular selection, and optimization activities
Domain
Pharmaceutical research / Bioinformatics / Computational Biology
Deliverable
production ML models
Required skills
Bioinformatics, Computational Biology, Computational Chemistry, Pharmacology, Data Science applied to Drug Discovery, Artificial Intelligence and Machine Learning, Predictive Modelling, Mathematical Modelling, Systems Biology, Python programming
Preferred skills
RNA/DNA sequence analysis, protein engineering, drug design, AI for Drug Discovery, translational research, oncology expertise, cloud computing environments
Technologies
Python
Responsibilities
Integrate and analyze large and heterogeneous scientific datasets, Develop and maintain data processing and data preparation pipelines, Build and deploy Machine Learning and predictive models, Apply AI approaches to biological and pharmaceutical research challenges, Develop mathematical and systems biology models to support decision-making, Contribute to in silico drug design, molecular selection and optimization activities, Perform scientific literature reviews and support research projects with data-driven insights, Collaborate closely with biology, chemistry and translational medicine teams
Seniority
Mid-level (3+ years experience)
