Career pathway
Drug Discovery & Life Sciences
Find the targets. Model the disease.
How data and computational methods are changing the way new medicines are discovered - from target identification to longevity medicine.
Register freeAround 12 hours, at your own pace
About this pathway
Drug discovery has become a data discipline. Target identification, disease modelling and drug repurposing now run on multi-omics data, knowledge graphs and machine learning - and the fastest-growing area of AI investment in healthcare is here.
This pathway is taught by people doing the work commercially. Disease Modeling and Target Discovery, from Insilico Medicine, walks the computational discovery process end to end - target biology, evidence assessment, AI-driven candidate generation, case studies included. The two Longevity Medicine courses then cover the emerging, data-led clinical field growing alongside it, from foundations to advanced practice.
Careers run from computational biologist or bioinformatician towards senior and principal scientist roles, in pharma R&D, biotech at every stage, AI-drug-discovery companies and academic life-sciences labs. It blends biology and code more than any other pathway - and rewards people fluent in both.
What you'll be able to do
- Describe the computational drug discovery process from target to candidate
- Explain how AI methods generate and prioritise drug targets
- Assess the evidence linking a target to a disease
- Understand data-driven longevity medicine and where it is heading
- Hold your own in conversations that cross biology and data science
What's in this pathway
3 steps
Who this pathway is for
Life scientists adding computational methods; data scientists curious about biology; anyone weighing a move into pharma or biotech R&D. Pairs well with Technical Skills & Data Engineering if you want to deepen the programming side.
Ready to work towards this career?
How data and computational methods are changing the way new medicines are discovered - from target identification to longevity medicine.
