Director of Machine Learning Research - AI Applications

Jobgether • Switzerland

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Lead a team of ML researchers in applying machine learning to pharmaceutical R&D, with a focus on structural biology and drug discovery. Develop and refine data pipelines and model architectures using large proprietary datasets. Collaborate with engineering, product, and academic partners to translate scientific breakthroughs into scalable solutions.

Key Highlights

Lead a team of ML researchers

Apply machine learning to pharmaceutical R&D

Develop and refine data pipelines and model architectures

Key Responsibilities

Establish and lead the dedicated ML Research team within the AI Applications organization

Drive the design, training, and improvement of large-scale foundation models for structural biology

Develop and refine data pipelines and model architectures using large proprietary datasets

Translate cutting-edge research in machine learning and structural biology into practical, production-ready modeling approaches for drug discovery applications

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Technical Skills Required

Python PyTorch OpenFold Boltz

Benefits & Perks

Competitive industry compensation package

Early-stage virtual share options

Remote-first working model

Wellbeing budget

Mental health support

Home office allowance

Co-working stipend

Learning budget

Generous holiday entitlement

Regular in-person company gatherings

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Nice to Have

Experience in early-stage biotech

Building ML research functions from scratch

Working with distributed training across GPU/cloud platforms (AWS, Azure, Lambda)

Experience with ML infrastructure and MLOps

Familiarity with QSAR modeling approaches

Triton kernel optimization

System-level ML performance tuning

Exposure to federated learning

Privacy-preserving ML

Multi-party training environments

Job Description

This is a senior technical leadership role at the forefront of applying machine learning to pharmaceutical R&D, with a strong focus on structural biology and drug discovery. You will be responsible for building and leading a newly created ML Research function within an AI Applications organization, shaping its scientific direction while remaining deeply hands-on in model development and experimentation. The role combines cutting-edge research, team leadership, and real-world deployment of production-grade AI models. You will work across federated data networks, collaborating with engineering, product, and academic partners to translate scientific breakthroughs into scalable solutions. A key focus will be improving co-folding models and advancing their generalization across complex biological datasets. This is a player-coach position for a leader who thrives at the intersection of research excellence and applied impact in drug discovery.

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