We're hiring Innovators

We are seeking a motivated Junior Software Developer to join our team working on innovative bioinformatics and computational biology projects. You will primarily work on our core backend services and microservices architecture, with opportunities to contribute across the full stack.

• Develop and maintain backend microservices using Python (FastAPI/Flask).

• Work with biological data processing pipelines and proteomics workflows.

• Implement RESTful APIs and integrate with various data sources.

• Collaborate on database design and optimization (PostgreSQL, SQLAlchemy).

• Participate in code reviews and contribute to technical documentation.

• Debug and optimize existing codebase for performance and reliability.

• 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 Python.

• Understanding of RESTful API design principles.

• Experience with version control systems (Git).

• Basic knowledge of SQL and relational databases.

• Good problem-solving skills and attention to detail.

• Ability to work both independently and as part of a team.

• Biology/Bioinformatics background - Understanding of molecular biology, proteomics, or computational biology concepts.

• Frontend experience - Familiarity with React, TypeScript, and modern web development.

• Machine Learning knowledge - Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch).

• DevOps understanding - Knowledge of CI/CD pipelines, containerization, and deployment practices.

• Experience with microservices architecture.

• Familiarity with Docker and containerization.

• Knowledge of asynchronous programming (asyncio).

• Understanding of data processing pipelines.

• Experience with scientific computing libraries (NumPy, Pandas).

• Opportunity to work on cutting-edge bioinformatics projects.

• Mentorship from experienced developers.

• Cross-functional exposure (backend, frontend, ML, biology, DevOps).

• Professional development opportunities.

• Collaborative and learning-focused environment.

• Eager to learn and grow in software development.

• Creative problem-solver who thinks outside the box.

• Interested in the intersection of technology and biology.

• Comfortable working with complex data and algorithms.

• Detail-oriented with strong debugging skills.

• Able to communicate technical concepts clearly.

• Open to innovative approaches and unconventional solutions.

We are seeking a strong Junior Software Developer to join our team working on Receptor AI Web, a cutting-edge molecular visualization and drug discovery platform. You will primarily work on our React/TypeScript frontend, with opportunities to contribute to the full-stack architecture.

• 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.

• Ability to work 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.

• Able to communicate technical concepts clearly.

• Open to innovative approaches and unconventional solutions.

• Project Coordination: Support the planning, execution, and monitoring of AI-driven drug discovery projects, ensuring alignment with scientific and strategic goals.

• Timeline & Milestone Tracking: Assist in maintaining Gantt charts, sprint boards, and timelines using tools like Jira, ensuring timely delivery of key milestones.

• Cross-functional Communication: Act as a liaison among interdisciplinary teams—biology, chemistry, computational modeling, and AI—facilitating seamless collaboration and effective handoffs.

• Meeting Support: Organize and document internal and external meetings, including drafting agendas, recording decisions, tracking action items, and distributing minutes via Confluence or shared drives.

• Data & Task Integration: Track ongoing tasks, workflows, and iterations; collaborate with scientific leads to update task boards and data registries in Jira or equivalent systems.

• Risk Monitoring: Identify and communicate potential scientific or operational risks to senior management; support proactive issue resolution and contingency planning.

• Documentation & Knowledge Management: Maintain comprehensive and version-controlled project documentation using platforms such as Confluence and Google Drive.

• Compliance & SOP Adherence: Ensure that project documentation and processes comply with internal SOPs and quality standards.‍

• Process Optimization: Participate in retrospectives and continuous improvement initiatives; contribute to the refinement of project management practices and workflows using insights from previous projects.

Education & Background

• Bachelor’s degree in life sciences (Biology, Chemistry, Pharmaceutical Sciences) or a related field; Master’s preferred.

• Basic familiarity with drug‑discovery workflows (medicinal chemistry, in vitro/in vivo assays) and AI‑driven modeling concepts.

Experience & Technical Skills

• 1+ years of experience supporting R&D projects.

• Hands‑on use of project‑management tools (Jira, Confluence, MS Project or equivalent) and proven proficiency maintaining Gantt charts and sprint boards.

• Strong data‑tracking aptitude: comfortable updating databases/registries and extracting metrics for status reports.

Project Management & Compliance

• Working knowledge of SOPs and quality standards; able to ensure documentation meets regulatory requirements.

• Basic risk‑assessment skills, with the ability to identify, flag, and escalate scientific or operational issues proactively.

Interpersonal & Organizational Abilities

• Excellent written and verbal communication; adept at coordinating across biology, chemistry, computational modeling, and AI teams.

• Highly organized and detail‑oriented, with experience drafting agendas, capturing minutes, and tracking action items.

• Collaborative mindset; comfortable participating in retrospectives and driving continuous‑improvement initiatives.

• English language proficiency at level B2 or higher.

Additional Attributes

• Certification or coursework in project management and/or drug discovery.

• Ability to learn new scientific tools and adapt to evolving workflows on fast‑paced projects.

At Receptor.AI, we are building the next generation of AI-powered drug discovery tools. As a Junior Product Marketing Manager, you will play a key role in translating our complex technologies into compelling stories that resonate with scientists, partners, and customers worldwide.

• Design, update, and maintain slide decks showcasing our technologies and case studies.
  

• Develop presentations tailored for events, conferences, and customer engagements.
  

• Create and manage content for the company website, including optimization for clarity and visibility.
  

• Define and implement product marketing strategies aligned with company objectives.
  

• Contribute to the refinement of the overall marketing strategy.
  

• Write scientific and technical content after gaining proficiency with our tools and pipelines.

• Conduct market research and competitive analysis to identify opportunities and positioning strategies.

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

• Foundational knowledge of drug discovery processes (e.g., target identification, screening, lead optimization).
  

• Basic familiarity with computer science concepts and awareness of how machine learning is applied in drug discovery.
  

• Demonstrated ability to work effectively in a team, with strong interpersonal and communication skills.
  

• Experience in preparing and delivering clear, structured presentations.
  

• English proficiency at B2 level or higher.
  

• Eagerness to quickly learn and master complex material in drug discovery and machine learning.

• Experience participating in commercial or academic projects related to chemoinformatics, computational chemistry, or drug design.
  

• Strong academic or practical background in Chemistry or Biology, with knowledge of scientific research methods.
  

• Basic design skills (e.g., Figma).
  

• Experience developing and presenting research projects to scientific or business audiences.

Entry-level position to set up and run classical molecular dynamics (MD) for proteins, protein–ligand complexes, and membrane systems, with trajectory analysis.

• Prepare and run MD simulations on HPC/cloud systems.
  

• Perform standard analyses (RMSD, RMSF, hydrogen bonds, clustering, etc.).
  

• Automate routine steps with simple scripts.
  

• Document and report results clearly.

• Practical experience with GROMACS.
  

• Knowledge of system preparation (force fields, solvation, methods of parameterization).
  

• Experience with membrane protein simulations.
  

• Linux proficiency; basic scripting (Bash, Python).
  

• Background in biophysics, biology, chemistry, or a related field.

• Experience with other MD engines (AMBER, NAMD, or OpenMM)
  

• Familiarity with enhanced sampling methods.
  

• Experience with mixed-solvent simulations.
  

• Hands-on experience with HPC.

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.

• Use molecular modeling tools (e.g., docking, molecular dynamics, FEP, pharmacophore design) to support compound 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 a Junior Computational Chemist to join our Drug Discovery team and gain hands-on experience in applying computational methods to modern drug discovery. This role is ideal for recent graduates in chemistry, biochemistry, pharmaceutical sciences, or related fields who are eager to build a career in molecular modeling, cheminformatics, or structure-based drug design. In this role, you will work under the guidance of senior scientists, contribute to live projects, and gain exposure to cutting-edge workflows at the intersection of chemistry, biology, and AI.

• Support hit discovery projects by preparing protein and ligand structures for modeling.

• Run docking workflows and visualize protein–ligand interactions using molecular modeling tools.

• Assist in structure- and ligand-based design tasks across live projects.

• Contribute to the setup and execution of cheminformatics pipelines (e.g., RDKit, Open Babel).

• Document workflows, results, and insights clearly for team discussions.

• Collaborate with interdisciplinary teams and follow technical guidance from senior scientists.

• Explore applications of AI/ML, peptide modeling, and cheminformatics under supervision.

Education & Background

• Final-year student or recent graduate (B.Sc. or M.Sc.) in Chemistry, Biochemistry, Pharmaceutical Sciences, Computational Chemistry, Structural Biology, or related fields.

• Candidates from engineering or physics with exposure to molecular simulations, bioinformatics, or AI in life sciences are encouraged to apply.

Experience & Technical Skills

• Basic understanding of molecular docking principles and exposure to tools such as AutoDock, Glide, or GOLD through coursework, internships, or self-study.

• Introductory knowledge of computer-aided drug design (CADD) concepts.

• Familiarity with molecular visualization tools (PyMOL, UCSF Chimera, VMD).

• Basic proficiency in Python or another scripting language; experience with Jupyter or Google Colab preferred.

• Coursework, research projects, or self-initiated learning in computational modeling will be considered favorably.

Interpersonal & Organizational Abilities

• Strong scientific curiosity and willingness to learn hands-on tasks in computational drug discovery.

• Ability to communicate findings clearly and work collaboratively in a team environment.

• Openness to feedback and continuous learning in a fast-paced setting

• Experience in academic drug discovery programs, hackathons, or internships at pharma, CROs, or research centers.

• Familiarity with AI/ML frameworks for chemistry (e.g., DeepChem, PyTorch).

• Knowledge of peptide structure or macrocycle modeling principles.

• Mentorship from experts with deep industry experience.
  

• Work on high-impact, real-world drug discovery programs.
  

• Flexible, remote-friendly culture.