We're Hiring Innovators

We are looking for a Computational Biologist to design and implement workflows for protein complex prediction, combining structural biology, computational modelling, and basic machine learning skills where needed to support the workflow.

Key Focus of the Role:

• Workflow design and implementation, not software development from scratch‍

• Applied modelling, not method development

• Develop and apply workflows for protein complex prediction, including:
  
  • Protein–protein and Protein-ligand docking
  • Cofolding-based modelling approaches
  • Multi-protein complex prediction

• Integrate and optimize existing tools and models (e.g., AlphaFold-like, Boltz or similar) into robust workflows

• Collaborate with R&D scientists to translate biological questions into computational strategies

• Analyze and interpret modelling results to guide downstream experimental work

• MSc in computational biology, computational chemistry, structural bioinformatics, or related field

• Strong Python skills (including experience with RDKit, PyTorch or Biotie)

• Proven experience with protein structure and complex modelling workflows

• Hands-on experience with:
  
  • Protein–protein interactions
  • Docking and/or cofolding approaches
  • Structural biology tools and modelling software

• Familiarity with modern protein modelling frameworks (e.g., AlphaFold, Boltz or similar)

• Ability to combine and adapt existing tools into practical workflows

• Strong problem-solving skills and ability to work across biology and computation

• Clear written and verbal communication

• PhD in a relevant field

• Experience with molecular dynamics or enhanced sampling‍

• Basic understanding of machine learning models in structural biology

We’re looking for a Senior-level computational chemist to join our discovery team and contribute to live hit-to-lead and lead optimization projects. You’ll play a key role in connecting in silico modeling with medicinal chemistry to design better compounds across a wide range of targets. Beyond hands-on modeling, you’ll be expected to take an active role in shaping project strategies, planning modeling efforts, and influencing prioritization decisions based on data.

• Support compound design using molecular modeling tools (e.g., docking, molecular dynamics, FEP, pharmacophore design).

• Interpret SAR data, suggest new analogs, and prioritize compound ideas.
  

• Collaborate with medicinal chemistry teams.
  

• Contribute to planning project workflows and setting modeling priorities.
  

• Drive hypothesis generation and test cycles based on evolving data.
  

• Apply both structure- and ligand-based design strategies.
  

• Contribute to data-driven iteration and project decision-making.

• Ph.D. in Computational Chemistry, Medicinal Chemistry, or a related field with 2–5 years of experience in drug discovery
  – OR –
  Master’s degree with 5+ years of hands-on industry experience in computational drug discovery or related roles
  

• Proven track record of contributing to hit identification, hit-to-lead, or lead optimization programs
  

• Proficiency in molecular modeling platforms
  

• Strong understanding of medicinal chemistry and SAR interpretation
  

• Comfortable working in fast-moving, cross-functional project teams

• Drive real drug discovery with visible impact on pipeline progress
  

• Join a science-first team blending AI and chemistry for next-gen therapeutics
  

• Enjoy flexible working with support for remote collaboration

Is actively contributed to real drug discovery projects and can confidently apply modeling techniques to impact design decisions. Is comfortable balancing scientific depth with practical prioritization and can independently plan and drive modeling strategies within multi-disciplinary projects.

We’re looking for a Business Development Representative (BDR) to help expand our collaborations with pharma and biotech organisations. This position is ideal for individuals with a scientific background who want to grow into the business and partnering side of drug discovery while staying close to the science.

You’ll work across scientific, commercial, and operational teams, gaining hands-on exposure to how AI-powered drug discovery partnerships are built.

• Build and maintain relationships with prospective partners across pharma and biotech.
  

• Adapt and improve outreach materials for emails, calls, and meetings.
  

• Review and prepare pipeline opportunities for client discussions.
  

• Support the translation of scientific capabilities into clear value propositions.
  

• Assist with outreach, agenda preparation, meeting coordination, and follow-ups.
  

• Capture scientific and strategic insights from conversations and events.

• Organize client feedback and inputs to ensure smooth collaboration across scientific and business teams.

• Bachelor’s degree in Biology, Molecular Biology, Computational Biology, or a related field.
  

• Understanding of fundamental drug discovery concepts (e.g., target identification, screening, lead optimization).
  

• Strong communication and interpersonal skills.
  

• English proficiency B2+.
  

• Curiosity, adaptability, and willingness to learn both scientific and business aspects of the role.

• Experience in sales outreach, BD, or scientific communication.
  

• Interest in AI applications in biology or chemistry.