<h3><strong>Who We Are</strong></h3><p>TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. </p><p>TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: <a href="https://www.tetrascience.com/company/news">Latest News and Annoucements | TetraScience Newsroom</a></p><p>In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. </p><p>It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.</p><p></p><h3>What You Will Do</h3><ul> <li>Responsible for designing, developing, training, and validation of AI/ML products</li> <li>Support and advise executive leadership regarding technical and commercial feasibility</li> <li>Work with commercial teams to understand the impact of AI in life-sciences</li> <li>Collaborate with cross functional teams to build products</li> </ul><h3></h3><h3>What makes TetraScience a great place to do AI?</h3><p>The core of TetraScience is helping Pharmaceutical companies organize, contextualize, and make their data accessible. This allows the Applied AI team to focus on building the tools to solve problems rather than focusing on the plumbing (the data is already AI-ready). We are looking for people who want to use their skills to have an outsized impact, by building tools to accelerate the drug discovery process not just for one company but for many companies at once. We have a number of projects looking for someone to lead the AI project development, including ML-reinforcement learning with large continuous datasets, developing NLP tools to ingest and contextualize documents/reports, and projects involving protein design/optimization and diffusion models. While the team actively learns from each other and shares knowledge and best practices, it is expected that someone in this role is capable of working independently as needed and has the required skills to develop the AI/ML applications in at least one of these areas. </p><p></p><p></p><p></p><h3></h3><ul> <li><strong>You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Vienna region.</strong></li> <li>Advanced degree in Biological, Data, or Computer Science</li> <li>10+ years of AI/ML development experience, or 5+ years developing AI/ML tools for commercial life sciences, healthcare, or regulated environments.</li> <li>Portfolio demonstrating end-to-end ownership of AI/ML products</li> <li>Proven track record of deploying AI models addressing real world problems</li> <li>Superior talent developing at least one of: ML-Reinforcement Learning, LLM/NLP, or Protein Design/Diffusion Models</li> </ul><p></p><p><strong>Preferred Qualifications</strong></p><ul> <li>Degree in AI or ML</li> <li>Deep understanding of hurdles facing pharmaceutical drug development</li> <li>Demonstrated ability to make productized applications (for use by more than one group)</li> <li>Excellent communication skills</li> <li>Ability to advocate and evangelize for AI initiatives internally and externally</li> <li>Experience collaborating with teams on large software projects</li> </ul>