Data Scientist II
Core
Build predictive models and generative AI solutions (LLMs, RAG) for drug discovery, clinical research, and patient engagement while translating insights into actionable dashboards.
Role type
Mid-level hands-on IC data scientist (generative AI & ML)
Builds
Production-ready ML models, generative AI solutions, and strategic dashboards
Domain
Pharmaceutical industry, drug discovery, clinical research
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, machine learning (scikit-learn, TensorFlow, Pytorch), statistics, hypothesis testing, Power BI, cloud platforms (Azure, GCP)
Preferred skills
Generative AI frameworks (Hugging Face, LangChain), large language models, fine-tuning, retrieval-augmented generation
Technologies
Python, SQL, scikit-learn, TensorFlow, PyTorch, Power BI, Azure, GCP, Hugging Face, LangChain
Responsibilities
Collect, clean, and analyze structured and unstructured datasets; Build and validate predictive models and machine learning algorithms; Apply large language models and retrieval-augmented generation for generative AI solutions; Conduct statistical tests and design experiments to validate hypotheses; Translate analytical findings into Power BI dashboards and visual reports.
Seniority
Mid-level, hands-on IC
