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Should I apply? We want to be upfront about what it is like to work at deepmirror and thought hard about the principles that guide our work. Before you apply, let's dive into how our values influence the way we work as a team and ensure they resonate with you.

We Persevere: We believe that great work comes from dedication, continuous learning, and pushing boundaries. We trust you to manage your time in a way that helps you develop your skills while contributing to impactful projects. If you thrive on learning and enjoy challenging yourself, you'll fit right in.

We Care We love what we do and deeply care about our product, customers, and colleagues. We thrive as a collaborative team where everyone is willing to go the extra mile for our customers. We create an environment where asking for support and extending a helping hand are equally valued. Be part of something big and contribute to a culture of support, customer focus, and shared ambition.

We Own Nobody will dictate how you do things, but you will be held accountable for the impact of your work, as we value outcomes over outputs. If you thrive in an environment where you take responsibility, solve problems proactively, and drive your own success, you will do well here.

At deepmirror, you will challenge yourself, be supported, and be given the freedom to excel. Join a team where striving, caring, and ownership are not just values but a way of life. If this resonates with you, deepmirror could be your next big adventure—read on for the 'boring' bits.

You Will:

• Develop advanced models to predict molecular properties such as ADMET - integrating deep learning and physics-based approaches
• Build production-quality software, working closely with engineers to ensure robustness, efficiency, and maintainability
• Collaborate with cross-functional teams, engineers, scientists, and stakeholders, to create user-centered solutions
• Support users (internal and external) by understanding their workflows, gathering feedback, troubleshooting issues, and helping translate scientific needs into actionable product improvements
• Present research findings in publications, technical documents, conferences, and industry forums

Requirements

• Demonstrable expertise in state-of-the-art molecular AI (PhD, Postdoc, or industry experience)
• Proficiency in deep learning methods for molecules and experience developing structure prediction algorithms
• Strong software engineering skills in Python, scientific computing, deep learning frameworks, testing, and version controlHands-on experience with molecular docking, scoring methods, and MD simulations
• Effective collaboration in interdisciplinary teams to deliver actionable solutions
• Excellent communication skills for technical and non-technical audiences

Nice to Have:

• Publications in peer-reviewed journals related to structure prediction, protein co-folding, or computational drug discovery
• Experience deploying ML models into production environments
• Contributions to open-source scientific software (e.g., RDKit, OpenMM, PyTorch or related tools)

If you meet at least 60% of the requirements or nice-to-have qualifications, we encourage you to apply.

Benefits

• Competitive Option Plan in line with the stage of the company
• Frequent social events and off-sites
• Private medical insurance
• 1-week remote working per quarter
• Cycle to Work Scheme
• Pension Scheme: 5%/5% employer/employee