Pharma & Life Sciences
AI for drug discovery, chemistry, genomics and pharma quality and regulation.
Beginner
Start here. No background needed beyond school maths.
Drug Discovery (UC San Diego)
How a medicine goes from idea to approval: targets, screening, medicinal chemistry, safety and clinical trials. Good context for where AI fits in pharma. Free to audit on Coursera; the certificate is paid.
Coursera
Getting Started with RDKit in Python
The official guide to RDKit, the most used open-source chemistry toolkit: reading molecules, drawing them, fingerprints and similarity, the starting point for any molecular machine learning.
RDKit
EMBL-EBI On-Demand Training
Free self-paced courses and webinars from Europe's bioinformatics institute on biological databases, data analysis and machine learning in the life sciences.
EMBL-EBI
ICH Quality Guidelines
The international quality guidelines pharma companies follow (stability, validation, good manufacturing practice). The source documents for pharma quality and regulatory projects.
ICH
Advanced
Once the basics are comfortable.
BioInformatics: Algorithms and Applications (IIT Madras)
Sequence alignment, protein structure, genomics databases and the algorithms behind them, taught for biology and engineering students. Free to learn on NPTEL; the certificate needs a proctored exam with a fee.
NPTEL
Computational Genomics (IISER Bhopal)
Analysing genome data with computers: sequencing, assembly, gene expression and the statistics behind genomics. Free to learn on NPTEL; the certificate needs a proctored exam with a fee.
NPTEL
TeachOpenCADD: Computer-Aided Drug Design
A free, open teaching platform for drug design with Python: getting compound data, molecular similarity, virtual screening and deep learning on molecules, in step-by-step notebooks. No login needed.
Volkamer Lab
Algorithms in Computational Biology and Sequence Analysis (IISc)
The algorithms used to compare and search DNA and protein sequences at scale, from alignment to indexing. Free to learn on NPTEL; the certificate needs a proctored exam with a fee.
NPTEL
Computational Biology (MIT 6.047)
MIT's course on algorithms and machine learning for biology: genomes, gene regulation, evolution and networks, with lecture videos and notes.
MIT OpenCourseWare
EMA Reflection Paper: AI in the Medicinal Product Lifecycle
How the European Medicines Agency expects AI to be used and validated across drug discovery, clinical trials, manufacturing and safety monitoring.
European Medicines Agency
Expert
Research-level depth and specialist material.
Ameya Daigavane
A video from Valence Labs (Recursion) on Ameya Daigavane. In-depth material for learners already confident in Pharma & Life Sciences. It plays here in the portal, and your progress is saved as you watch.
Valence Labs (Recursion)
Andreas Burger
A video from Valence Labs (Recursion) on Andreas Burger. In-depth material for learners already confident in Pharma & Life Sciences. It plays here in the portal, and your progress is saved as you watch.
Valence Labs (Recursion)
How GFlowNets Explore Chemical Space to Find Novel Molecules
A video from Valence Labs (Recursion) on How GFlowNets Explore Chemical Space to Find Novel Molecules. In-depth material for learners already confident in Pharma & Life Sciences. It plays here in the portal, and your progress is saved as you watch.
Valence Labs (Recursion)
How Synflownets Are Used to Design Promising New Molecules
A video from Valence Labs (Recursion) on How Synflownets Are Used to Design Promising New Molecules. In-depth material for learners already confident in Pharma & Life Sciences. It plays here in the portal, and your progress is saved as you watch.
Valence Labs (Recursion)
How to Distinguish Mirror-Image Molecules for Hit-ID
A video from Valence Labs (Recursion) on How to Distinguish Mirror-Image Molecules for Hit-ID. In-depth material for learners already confident in Pharma & Life Sciences. It plays here in the portal, and your progress is saved as you watch.
Valence Labs (Recursion)
How to Identify Subtle Failure Modes of Generative Models
A video from Valence Labs (Recursion) on How to Identify Subtle Failure Modes of Generative Models. In-depth material for learners already confident in Pharma & Life Sciences. It plays here in the portal, and your progress is saved as you watch.
Valence Labs (Recursion)
How to Strategically Acquire New Data Via Active Learning
A video from Valence Labs (Recursion) on How to Strategically Acquire New Data Via Active Learning. In-depth material for learners already confident in Pharma & Life Sciences. It plays here in the portal, and your progress is saved as you watch.
Valence Labs (Recursion)
Marta Skreta
A video from Valence Labs (Recursion) on Marta Skreta. In-depth material for learners already confident in Pharma & Life Sciences. It plays here in the portal, and your progress is saved as you watch.
Valence Labs (Recursion)
Sungsoo Ahn
A video from Valence Labs (Recursion) on Sungsoo Ahn. In-depth material for learners already confident in Pharma & Life Sciences. It plays here in the portal, and your progress is saved as you watch.
Valence Labs (Recursion)
The Challenge of Training ML Models on Biological Data
A video from Valence Labs (Recursion) on The Challenge of Training ML Models on Biological Data. In-depth material for learners already confident in Pharma & Life Sciences. It plays here in the portal, and your progress is saved as you watch.
Valence Labs (Recursion)
The Importance of Uncertainty Quantification for Virtual Cells
A video from Valence Labs (Recursion) on The Importance of Uncertainty Quantification for Virtual Cells. In-depth material for learners already confident in Pharma & Life Sciences. It plays here in the portal, and your progress is saved as you watch.
Valence Labs (Recursion)
What are batch effects and how do we minimize their impact in ML training?
A video from Valence Labs (Recursion) on What are batch effects and how do we minimize their impact in ML training. In-depth material for learners already confident in Pharma & Life Sciences. It plays here in the portal, and your progress is saved as you watch.
Valence Labs (Recursion)