Data Scientist
Structure Therapeutics · South San Francisco, CA · 2 mo ago
On-siteEngineering$148k–$182k/yrFull-time
Job Responsibilities
- Enhance the existing platforms by contributing to the development, validation, deployment, and ongoing maintenance.
- Develop and validate data science tools for clinical research, and trial optimization.
- Ensure the scalability, maintainability, and reliability of analytical solutions through software engineering best practices (e.g., testing, documentation, CI/CD pipeline).
Qualifications
- Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field. Minimum of 10 years of Data Science experience with a Bachelor’s degree, 8 years with a Master’s, or 4 years with a Ph.D., including at least 3 years of hands-on experience developing production-grade software in programming languages such as Python or R.
- Demonstrated understanding of software architecture, performance optimization and validation.
- Strong expertise in Machine Learning and Deep Learning techniques (e.g., Scikit-learn, TensorFlow, or PyTorch).
- Familiar with data visualization tools such as ggplot2, Plotly, Matplotlib or Seaborn.
- Strong analytical thinking and problem-solving skills.
- Experienced with Github.
Preferred Qualifications
- Master’s or Ph.D degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
- Experience with cloud-computing platforms (AWS, GCP, or Azure) and containerization (e.g., Docker).
- Experience with creating Large Language Models (LLMs) and GenAI based solution in production environment.
- Experience in designing and implementing CI/CD pipelines.