We're looking for a data-driven problem solver to leverage large language
models (LLMs) and transform unstructured data into data ontologies and
actionable insights that drive drug launches and access strategies. You'll
work at the intersection of AI, data science, and healthcare, helping biotech
and pharma companies navigate patient access barriers and optimize commercial
decisions.
**What You’ll Do**
* Build and optimize data pipelines for processing structured & unstructured data.
* Select, evaluate, and fine-tune LLMs for key business applications.
* Ensure data integrity, accuracy, and usability for analytics & decision-making.
* Translate complex insights into clear strategies for technical and non-technical teams.
* Develop frameworks to communicate nuanced research findings effectively.
* Collaborate with engineering teams to shape data infrastructure & model development.
**What We’re Looking For**
* PhD in a quantitative field (CS, Data Science, Computational Biology, Stats, etc.) OR Bachelor’s + 2+ years of experience in finance, biotech, or healthcare.
* Passion for LLMs and their real-world applications.
* Strong Python skills (SQL is a plus).
* Experience in prompt engineering, statistical modeling, and advanced analytics.
* Hands-on experience with large datasets & unstructured data transformation.
* Excellent problem-solving skills & ability to turn data into business impact.