Principal Data Scientist
Structure Therapeutics
10 days ago
Remote friendly (South San Francisco, CA)
United States
IT
Principal Data Scientist (Biometrics and Data Management)
Position Summary
Lead development of AI-powered, scalable data science tools to advance the internal platform and support evolving business needs. Partner with clinical scientists, biostatisticians, data managers, statistical programmers, and other stakeholders to design, implement, and deploy robust data-driven solutions that accelerate decision-making and improve patient outcomes. Build production-grade tools and frameworks.
Job Responsibilities
- Collaborate with cross-functional units to gather business insights for internal data science tool development.
- Develop and validate data science tools for clinical research and trial optimization.
- Ensure scalability, maintainability, and reliability via software engineering best practices (testing, documentation, CI/CD).
- Design, build, and implement scalable, secure, efficient infrastructure on AWS.
- Communicate technical results and insights through presentations and documentation.
Qualifications
- Bachelor’s degree in computer science, data science, statistics, mathematics, or related field.
- 12+ years data science experience with Bachelor’s; 10+ with Master’s; 6+ with Ph.D., including 5+ years hands-on production-grade software development in Python or R.
- Knowledge of software architecture, performance optimization, and validation.
- Strong ML/DL expertise (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience deploying/maintaining models in production (APIs, batch jobs, microservices).
- Strong analytical thinking and problem-solving.
- Experience with GitHub.
Preferred Qualifications
- Master’s or Ph.D. in relevant field.
- Scalable cloud data architectures/analytics pipelines (AWS/GCP/Azure) and containerization (Docker).
- Production GenAI/LLM experience.
- CI/CD pipeline experience.
Travel Required: Connection week
Application Instructions
Apply via the official career page at BambooHR.
Position Summary
Lead development of AI-powered, scalable data science tools to advance the internal platform and support evolving business needs. Partner with clinical scientists, biostatisticians, data managers, statistical programmers, and other stakeholders to design, implement, and deploy robust data-driven solutions that accelerate decision-making and improve patient outcomes. Build production-grade tools and frameworks.
Job Responsibilities
- Collaborate with cross-functional units to gather business insights for internal data science tool development.
- Develop and validate data science tools for clinical research and trial optimization.
- Ensure scalability, maintainability, and reliability via software engineering best practices (testing, documentation, CI/CD).
- Design, build, and implement scalable, secure, efficient infrastructure on AWS.
- Communicate technical results and insights through presentations and documentation.
Qualifications
- Bachelor’s degree in computer science, data science, statistics, mathematics, or related field.
- 12+ years data science experience with Bachelor’s; 10+ with Master’s; 6+ with Ph.D., including 5+ years hands-on production-grade software development in Python or R.
- Knowledge of software architecture, performance optimization, and validation.
- Strong ML/DL expertise (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience deploying/maintaining models in production (APIs, batch jobs, microservices).
- Strong analytical thinking and problem-solving.
- Experience with GitHub.
Preferred Qualifications
- Master’s or Ph.D. in relevant field.
- Scalable cloud data architectures/analytics pipelines (AWS/GCP/Azure) and containerization (Docker).
- Production GenAI/LLM experience.
- CI/CD pipeline experience.
Travel Required: Connection week
Application Instructions
Apply via the official career page at BambooHR.