Technical Lead – Structural Biology Networks

This is a fully remote position, open to applicants in Germany.

📋 Description

• Lead teams in the development and delivery of federated co-folding models.

• Construct and deploy machine learning applications in the field of structural biology.

• Take ownership of project delivery against set milestones, ensuring the release of high-quality models.

• Convert vague scientific and technical objectives into well-defined plans, priorities, and decisions.

• Guide evaluation processes and create deliverables for external stakeholders.

• Identify risks, obstacles, and technical trade-offs, providing clear recommendations.

• Align the objectives, evaluation criteria, and delivery expectations among consortium members.

⛳️ Requirements

• PhD, MSc, or equivalent qualifications in a relevant discipline.

• Over 5 years of experience applying machine learning to intricate scientific or biological issues.

• Practical experience with contemporary machine learning systems using Python and PyTorch.

• Familiarity with or experience in large-scale models such as OpenFold, AlphaFold, Boltz, ESM, or similar technologies.

• Background in MLOps or ML infrastructure, particularly with Kubernetes-based workflows.

• Capability to establish success criteria, validate model quality, and ensure reliable ML releases.

• Proven experience in leading the delivery of complex machine learning projects.

• Ability to function as a player-coach: mentoring engineers and ML scientists while also contributing directly.

🏝️ Benefits

• Competitive compensation package, including early-stage virtual share options.

• Remote-first work environment – choose your best workspace.

• Wellbeing budget, mental health resources, work-from-home budget, co-working stipend, and learning budget.

• Generous holiday allowance.

• Office Days at our Berlin headquarters or another European location (three times a year).