The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Senior Computational Biologist, you'll work alongside members of our research team and our founders to develop AI systems capable of complex biological reasoning across multiple scales. - You will develop machine learning methods to extend our predictive and generative platform - You will design and execute computational pipelines to validate and prioritized de novo generated molecules using state of the art tools - You will use your deep understanding of biology to design novel therapeutics for hard-to-target proteins with our generative models - You will analyze and integrate large-scale biological datasets - Your work will directly impact the development of our biologically-aware AI platform, transforming the landscape of medicine Make a real tangible impact on millions of lives by pushing the boundaries of AI in biology. Who We're Looking For - You have a PhD in a biological field and strong programming skills in Python - You have experience with computational biology tools such as structure prediction, molecular docking and virtual screening - You have experience working with Protein or Chemical Language Models - You like to work collaboratively in a fast-paced startup environment - You are passionate about using data science to unlock the secrets of biology - You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them - You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty - You have excellent communication skills and can clearly articulate complex technical concepts Bonus Points - You have hands-on experience building AI/ML using PyTorch and Lightning - You have experience with cloud computing platforms like AWS - You have hands-on biology laboratory experience - You have contributed to peer-reviewed publications in computational biology - You have knowledge of machine learning techniques applied to biological data Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer - We encourage new and different ideas, creativity and contrarian thinking - Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you - You own your day-to-day management. What we care about is that we all hit our milestones - Competitive salary and equity in a growing, well-funded startup - Excellent medical, dental, and vision coverage

• Collaborate with senior engineers, product managers, and domain experts to understand our customers' needs and challenges. • Apply your research skills to design, code, and test novel AI/ML solutions. • Develop, evaluate, and iterate on AI/ML models (including LLMs) to solve a core business problem. • Analyze existing platforms to identify bottlenecks and propose opportunities for algorithmic or systems-level improvements. • Gain hands-on experience with our production systems, including CI/CD pipelines (GitHub Actions) and Infrastructure as Code (Terraform). • Present your findings and project outcomes to the team and key stakeholders at the end of your internship.

Location: Remote (within Portugal, the UK, or the EU) Availability: Full-time (40 hours/week) Project Duration: 12 months from start date Start date: June Who We Are Looking For We are looking for a native-level Spanish Computational Linguist with a strong understanding of speech and language. Ideal candidates will be detail-oriented, comfortable working with audio data, and capable of collaborating closely with scientists and technical teams. Having an additional language is a plus. Role Description: Assess the quality of speech in Spanish-Spain. This role requires the ability to accurately analyze and discuss speech and audio, along with some background in linguistics or speech processing. Computational skills are also required, including Python and at least basic command-line proficiency. Responsibilities - Assess the quality of speech in Spanish - Categorize and annotate speech according to provided specifications - Interact and collaborate with a team of scientists on a daily basis - Report findings and insights Requirements - Native or near-native proficiency in Spanish - Background in linguistics, speech processing, or a related field - Experience in using, adapting and creating scripts in python - Strong analytical and communication skills - Ability to discuss and evaluate audio/speech quality confidently - Comfortable working full-time on a long-term project (12 months) - Additional language skills are a plus Privacy Notice: defined.ai/candidate-privacy-statement

• Design, build, and optimize AI-powered solutions using LLMs, RAG pipelines, semantic search, GraphRAG, and Agentic AI architectures. • Implement and experiment with the latest advancements in large-scale language modeling, including prompt engineering, model fine-tuning, evaluation, and monitoring. • Collaborate with product, backend, and data engineering teams to define requirements, break down complex problems, and deliver high-impact features aligned with business objectives. • Inform robust data ingestion and retrieval pipelines that power real-time and batch AI applications using open-source and proprietary tools. • Integrate external data sources (e.g., knowledge graphs, internal databases, third-party APIs) to enhance the context-awareness and capabilities of LLM-based workflows. • Evaluate and implement best practices for prompt design, model alignment, safety, and guardrails for responsible AI deployment. • Stay on top of emerging AI research and contribute to internal knowledge-sharing, tech talks, and proof-of-concept projects. • Author clean, well-documented, and testable code; participate in peer code reviews and engineering design discussions. • Proactively identify bottlenecks and propose solutions to improve system scalability, efficiency, and reliability.