We're Hiring Innovators

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 are looking for an R&D Engineer to develop new drug design workflows. This role focuses on prototyping algorithms, testing ideas, and building tools that integrate directly into our platforms.

Scientific background

• Strong understanding of supramolecular chemistry and structural biology.
  

• Solid knowledge of molecular biophysics and biomolecular recognition.
  

• Experience in protein structure modeling and evaluation.

Technical skills

• Strong Python programming skills (functions, classes, data structures) and experience with core analytical Python packages (NumPy, Pandas, etc.)
  

• Familiarity with PyTorch and GPU-based computing.
  

• Experience with Conda environments.
  

• Understanding of ML/DL concepts and model evaluation metrics.
  

• Experience with Linux and GitHub.
  

Soft skills

• Curiosity, initiative, and motivation to engage in research-driven tasks.
  

• Strong communication skills and ability to collaborate effectively.
  

• Consistently reliable in meeting deadlines, attending key meetings, and following through on shared responsibilities.

• Open, honest, and comfortable giving and receiving feedback and iterating based on it.

• Experience with protein structure prediction and/or docking tools (e.g., AlphaFold, HDOCK, HADDOCK).
  

• Familiarity with chemical file formats (PDB, CIF, MOL2, SDF).
  

• Experience working on remote machines and/or cloud platforms (e.g., Google Cloud).
  

• Knowledge of deep learning architectures such as Transformers or GNNs.

Scientific programmer to maintain and extend scientific software used for biomolecular modeling and simulations. Requires both strong programming skills and an understanding of biophysics.

• Modify and extend existing scientific software (core numerical methods already implemented in compiled languages).
  

• Ensure correctness, stability, and numerical reliability of simulation workflows.
  

• Build interfaces, bindings, wrappers, and testing frameworks.

• Work with structural/trajectory file formats (PDB, mmCIF, XTC, etc.).

• Strong programming skills with experience in scientific software development.
  

• Understanding of molecular simulations, conformational sampling, and biophysical principles.
  

• Experience with Linux toolchains, debugging, and version control.

• English level B2 or higher (written and spoken).

• Proactive approach and strong ownership of tasks.

• Ability to manage your own processes, priorities, and timelines.

• Ability to interface compiled code with Python.
  

• HPC and performance tuning (OpenMP, SIMD, CUDA).
  

• Prior experience with biomolecular modeling/simulation software.

We are looking for an UI/UX Designer to shape the user experience of Receptor.AI’s software products used by scientists and internal teams. This role is ideal for someone who enjoys designing complex web applications, turning ambiguous requirements into clear product flows, and collaborating closely with domain experts.

Product and experience design

• Own end to end design for key product areas, from discovery to final UI and developer handoff.

• Translate user needs into user flows, information architecture, wireframes, and high fidelity designs.

• Design for complex workflows, including multi step processes, data heavy screens, and power user features.

• Create interactive prototypes to validate concepts quickly and align stakeholders.

Design systems and collaboration

• Build and maintain a consistent design system in Figma, including components, patterns, and documentation.

• Partner with product managers and engineers to scope solutions, define requirements, and support delivery.

• Produce clear handoff materials, including specifications, states, edge cases, and responsive behavior.

• 5+ years of experience in UI/UX or product design for web based products.

• Strong portfolio demonstrating end to end product thinking and shipped work.

• Advanced Figma skills, including component libraries, variants, and prototyping.

• Experience designing complex SaaS products, enterprise solutions, or data rich interfaces.

• Solid understanding of UX fundamentals, accessibility, and responsive design.

• Strong communication skills and ability to work cross functionally.

• English proficiency B2+.

• Curiosity and readiness to learn biology and chemistry concepts to design domain specific workflows.

• Experience with scientific software, biotech, healthtech, or developer tools.

• Strong background in data visualization and designing analytical interfaces.

• Familiarity with front end constraints and handoff best practices for React based products.

• Experience creating or scaling a design system across multiple products.

• Experience working in early stage startups and shipping quickly with small teams.

We are seeking a strong Software Developer to join our team working on Receptor AI Web, a cutting-edge molecular visualization and drug discovery platform. You will primarily develop and maintain our React/TypeScript frontend, with opportunities to explore 3D visualization, scientific computing, and full-stack architecture as you grow.

• Develop and maintain frontend features using React and TypeScript.

• Work with 3D molecular visualization using NGL library.

• Integrate with RESTful APIs for chemical compound data.

• Optimize performance for large datasets and real-time rendering.

• Debug and refactor existing codebase for better maintainability.

• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).

• 1+ year of professional software development experience.

• Strong programming skills in JavaScript/TypeScript.

• Solid understanding of React hooks and modern React patterns.

• Experience with state management solutions (Redux preferred).

• Proficiency with version control systems (Git).

• Good problem-solving skills and attention to detail.‍

• Proven ability to contribute effectively both independently and as part of a team.

• 3D Graphics/Visualization - Experience with WebGL, Three.js, or scientific visualization libraries.

• Chemistry/Biology background.

• Data Visualization - Experience with Chart.js, D3.js, or similar libraries.

• Backend knowledge - Familiarity with Python, or API development.

• Familiarity with testing frameworks (Jest, Vitest, React Testing Library).

• Knowledge of responsive design and cross-browser compatibility.

• Understanding of performance optimization techniques.

• Experience with scientific or data-intensive applications.

• Cross-functional exposure (frontend, 3D visualization, scientific computing).

• Professional development opportunities.

• Collaborative and learning-focused environment.

• Self-starter who can take features from concept to production.

• Creative problem-solver who thinks outside the box.

• Interested in the intersection of technology and drug discovery.

• Comfortable learning complex scientific domains.

• Detail-oriented with strong debugging skills.

• Сommunicates technical concepts clearly.

• Open to innovative approaches and unconventional solutions.

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.