Receptor.AI

About the Role

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

We prioritize candidates with strong knowledge in molecular biology, chemistry, and/or bioinformatics. A lack of direct product marketing management experience is not critical if general technical competencies are present.

Key Responsibilities

• 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.
   

Required Qualifications

• 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.
   

Preferred Qualifications

• 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.
  
   

We are looking for a Drug Discovery Project Manager to strengthen the coordination and operational support of our projects. In this role, you will help ensure that project workflows run smoothly, documentation and compliance standards are maintained, and communication between scientific, commercial, and client-facing teams remains consistent. This position is well-suited for someone who combines strong organizational skills with an interest in drug discovery and AI-driven research.

Project Workflow Coordination: Oversee the coordination of drug discovery project workflows, ensuring adherence to established processes, regulatory frameworks, and internal guidelines.

Knowledge & Documentation Management: Work on refining internal documentation, SOPs, and regulatory guidelines; ensure clear communication and accessibility of operational resources across teams.

Operational Tracking & Reporting: Maintain and update operational tracking systems, including project monitoring tables and operational Jira boards; prepare regular progress reports for senior management and project leads.

Cross-functional collaboration: Act as a key liaison between Project Managers, Drug Discovery, and Commercial teams to ensure smooth coordination between scientific and business objectives.

Client Onboarding & Support: Monitor client onboarding progress from the preliminary research stage through proposal preparation and subsequent project phases; support communication with clients when needed

Documentation Oversight: Review and ensure consistency of project documentation, including proposals, work orders; oversee document version control and adherence to standards.

Strategic Alignment and Meeting Support: Participate in regular planning meetings and retrospectives to align operational processes with broader project and company goals; actively drive optimization and continuous improvement initiatives. Support planning meetings by drafting agendas, preparing summaries, tracking action items; contribute to workflow corrections and process adjustments.

Process Optimization & Problem-solving: Contribute to process improvement initiatives by identifying workflow inefficiencies, implementing corrective actions, and developing proactive solutions for operational and regulatory challenges.

Requirements

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) 
• 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, meeting summaries, 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
• Demonstrated ability to learn new scientific tools and adapt to evolving workflows on fast‑paced environment 

We are looking for a ML Researcher to develop new drug design workflows. This role focuses on prototyping algorithms, testing ideas, and building tools that integrate directly into our platforms.

Required qualifications

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.
• Reliability: respects deadlines, meetings, and others’ time.

• Honesty, transparency, and openness to feedback.

   

Preferred qualifications

• 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.

We are looking for a Content Creator with a strong molecular biology or biochemistry background who can turn complex science into clear, engaging stories. In this role, you will independently research topics, develop ideas, and write content for social media, our website, and external electronic publications (non-academic). You’ll work closely with the founders and product marketing team to keep our public voice sharp, credible, and aligned with our positioning in AI-powered drug discovery.

Key responsibilities

• Write clear, accurate, and engaging posts for social media (LinkedIn).
• Develop longer-form articles for the company blog and external electronic media (magazines, portals, newsletters).
• Independently research topics: read scientific literature, industry news, and internal materials to generate content ideas.
• Translate complex concepts in molecular biology, drug discovery, and AI into accessible narratives for non-specialist audiences.
• Adapt content to different audiences (scientists, pharma decision-makers).
• Collaborate with internal subject-matter experts (ML engineers, product leads and managers) to ensure scientific accuracy.
• Iterate on content based on feedback and basic performance indicators (engagement, reach, reactions from target audience).

Required qualifications

Education & scientific background

• Master or PhD in molecular biology, biochemistry, or a closely related life-science field.
• Solid understanding of core concepts in molecular and cellular biology, experimental methods, and drug discovery basics.

Writing & communication

• Proven experience writing academic or non-academic scientific content: blog posts, opinion pieces, explainers, or similar materials (links or portfolio strongly preferred).
• Excellent written English (C1–C2 level): precise, fluent, and stylistically flexible.
• Ability to adjust tone and depth of detail depending on the target audience and channel.
• Strong skill in structuring content so that key messages are immediately clear.

Work style

• Independent work: from topic discovery and research to final draft.
• Comfortable working remotely with async communication (docs, comments, calls when needed).
• Reliable in meeting deadlines and managing a light but steady content pipeline.

Preferred qualifications

• Awareness of recent developments in artificial intelligence and machine learning, especially in drug discovery or life sciences.
• Experience writing about AI, data science, or computational biology for non-academic audiences.
• Familiarity with LinkedIn and other professional social platforms as content channels.
• Basic understanding of content SEO principles (headlines, structure, keywords) is a plus, but not required.

What we offer

• A full-time, fully remote role with flexible hours.
• Direct collaboration with founders and senior scientists working at the interface of AI and drug discovery.
• A steady stream of scientifically rich topics and access to internal expertise and materials.