Scientific Data Specialist – Food Substances & Ingredients (Ontology Data Expert)

About the role If you’re passionate about food, biology, or chemistry and want to see how science connects with real-world products — this role is for you. At GFComply, we help food companies create products that meet global regulations from day one. Instead of messy spreadsheets and manual work, we build smart systems that make compliance faster and easier. We’re looking for someone who understands scientific and regulatory concepts and is curious about working with data. You don’t need to be a programmer — your science background is the key requirement . What we offer Real impact on global food product development Opportunity to combine science with modern technology Learning & development in data, automation, and AI Collaborative environment (science + tech teams) Work on an innovative SaaS platform About GFComply GFComply is a fast-growing SaaS platform helping food companies manage regulatory compliance across multiple markets. We connect regulatory expertise with technology , replacing manual processes with scalable, automated solutions Daily tasks: - Work with food, chemical, and biological regulations - Read and interpret regulatory documents (EU, US, etc.) - Transform complex information into structured datasets - Ensure data is accurate, consistent, and reliable - Collaborate with tech teams to improve how data is used in the platform - Gradually learn how data powers automation and compliance systems Who this role is perfect for Graduates or early-career professionals in biology / chemistry / food science People who want to move into data, AI, or tech environments Detail-oriented and structured thinkers Curious minds who enjoy combining science + data Must have Degree or strong background in: Food Science / Technology Chemistry Biology or related field Understanding of scientific or regulatory data Strong attention to detail Analytical thinking Good English (working with international materials) This is a science-first role — domain knowledge is essential Nice to have (strong bonus) Basic or advanced knowledge of Python Knowledge of SQL and relational databases Interest or experience in AI / LLM tools Experience in data structuring, normalization, or validation Ability to work with different data sources (PDF, Excel, HTML, etc.) Understanding of data models or data workflows Experience with automation, scripting, or ETL processes Familiarity with regulatory databases or compliance tools Knowledge of global food regulations (EU, US, Codex) These are big advantages , but you can learn them on the job Nice to have: Python, AI, SQL, Excel, Relational database, ETL, HTML, Data models