Junior Innovation Analyst

Junior Innovation Analyst AI + Biology for Sustainable Ingredients SilicoLife is a biotechnology company that harnesses the power of computational biology to sustainably produce valuable compounds through fermentation. Our proprietary technologies and expertise have been utilized by top companies in various industries for over a decade, as well as in research and development projects. Recently, we received a Series A investment of 9.8 million euros, which is driving us towards becoming a product-focused company. This shift allows our company to exclusively focus our technology and knowledge in the creation of internal intellectual property, delivering high-value products to the high-growth supplements market. Be part of this extraordinary journey and join us in our quest. What's the job? As a Junior Innovation Analyst, you will be an integral part of our innovation team, with a primary focus on building and operating the tools and pipelines that power our IP and technology evaluation workflows. You will contribute to the development of robust data ingestion and analysis systems in Python, manage and query structured data in MySQL, and help orchestrate LLM agents that parse, enrich, and score technical, market, and patent information. Your work will support Freedom to Operate (FTO) pipelines, patent landscaping, and quick molecule assessments—enabling faster, higher-confidence decisions across our product portfolio. This is a hands-on, engineering‑leaning role suited to candidates with programming experience and a background in biology/biotech (bioinformatics is a strong fit). Responsibilities The selected candidate will: Integrate the innovation team, building and maintaining internal tools and pipelines (Python, SQL/MySQL, APIs) that support IP risk evaluation and decision-making. Design, orchestrate, and monitor LLM-based agents for document ingestion, retrieval, summarization, and consensus scoring (e.g., for patents, literature, market reports). Support FTO analyses and patent landscaping by automating steps in the established internal pipelines and generating reproducible reports and dashboards. Conduct quick, code-first assessments of molecules, combining novelty signals, market potential, and competitive landscape insights using our AI-assisted workflows. Possibility of deepening IP/FTO expertise and expanding software engineering practices (testing, CI/CD, containerization) depending on the candidate's profile. Benefits Salary will be proposed considering the candidate's experience. The selected candidate will be employed by the company and will be part of an interdisciplinary team of experts in computer science, artificial intelligence, bioinformatics, systems biology, molecular biology, bioprocess engineering, protein engineering, etc. Other benefits also include: Flexible work schedule: great work/life balance Extra vacation days over the 22 legally mandated Health insurance Flexible benefits Participation in internal talks, company retreats and events Fully-equipped kitchen with free treats and coffee The selected candidate will be exposed to highly innovative projects, combining world-class science with disruptive business models to create sustainable and economically-viable solutions, addressing global challenges. SilicoLife is an equal opportunities employer, committed to creating a diverse and inclusive workplace. We do not discriminate on the basis of race, gender, sexual orientation, religion, age, national origin, disability, or any other protected characteristic. We are dedicated to creating a workplace culture that values diversity, equity, and inclusion and that provides equal opportunities for all employees. We strive to foster a positive and supportive work environment for all, and we believe that everyone should have the opportunity to succeed, regardless of their background or identity. Our policies and practices reflect this commitment, and we are committed to treating all employees with respect and fairness. The successful candidate should ideally possess: Educational Background: A degree in Bioinformatics, Computer Science , Biotechnology, or a related life-science field. Technical Proficiency: Strong programming skills in Python are essential. Code versioning (Git), Containerization (Docker, Podman), CI/CD and experience with relational databases are all highly valued. AI & Automation: Familiarity with LLM frameworks, agent orchestration and API development/integration is highly valued. Language Skills: Proficiency in written and spoken English. Scientific Knowledge: Basic understanding of molecular biology or biotechnology concepts to effectively handle biological data. Soft Skills: Curiosity, Autonomy, Resilience. willingness to learn new technologies, and a problem-solving mindset. Bonus: Previous exposure to IP analysis, patent data, or innovation metrics is valued, but not mandatory.