Portal Innovations

Portal Innovations invests in ecosystems to support life sciences entrepreneurs in different geographies in the US. We use Stargaze, our AI-toolkit for identifying and sourcing innovation to make strategic decisions around: Finding rising star researchers to support, Understanding where science is headed, Forming high-impact relationships with researchers, founders, investors, and pharmaceutical companies. As we continue to build out this 'frontend for biotech innovation', we need a seasoned engineer to help us accelerate our roadmap for 2025. Here's a snapshot of what you'll work on with me: Build ETL pipelines (bringing in data around publications, patents, etc.). We've made good progress here, but need someone who can get it over the finish line. Build an internal data infrastructure that allows us to iterate on data science experiments to create new Innovation Biomarkers. Work with our team to evaluate and benchmark different models and pipelines to classify innovators, resolve entities across datasets, generate high quality matches for innovation search, and more. Occasionally work across the stack (React / Next, Python, Postgres) if you're interested in branching out. You're a great fit if you: Have experience with Python, Postgres, and general ETL pipelines / infrastructure (AWS, Modal, Airflow). Take your craft seriously and own your work. Aren't afraid of getting into the weeds. Work well asynchronously but appreciate the occasional meeting to iron out any blockers. Bonus points if you: Enjoy reading about machine learning & data science or have trained and deployed models in the past. Have an interest in the biotech innovation space.