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