Principal Data Scientist

We are seeking a highly motivated Principal Data Scientist with strong machine learning engineering expertise to join the Biometrics and Data Management group. This role will lead the efforts on advancing the current platform by developing AI-powered transformative and scalable data science tools to support evolving business needs. As a technical lead in a multidisciplinary environment, you will work closely 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. In addition to modeling and analytics work, you will lead building production-grade tools and frameworks that extend the capabilities of the current internal platforms. Responsibilities

• Collaborate with cross functional units to understand business needs and gather insights to support internal data science tool development.
• 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 (eg, testing, documentation, CI/CD pipeline).
• Design, build and implement scalable, secure and efficient infrastructure on AWS.
• Communicate technical results and insights to stakeholders through clear, structured presentations and documentation.

• Bachelor's degree in computer science, Data Science, Statistics, Mathematics, or a related field.
• Minimum of 12 years of Data Science experience with a Bachelor's degree, 10 years with a Master's, or 6 years with a Ph.D., including at least 5 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 (eg, Scikit-learn, TensorFlow, or PyTorch).
• Demonstrated experience deploying and maintaining models in production (eg, APIs, batch jobs, microservices).
• Strong analytical thinking and problem-solving skills.
• Experienced with GitHub., * Master's or Ph.D degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
• Demonstrated expertise in developing and optimizing scalable data architectures and analytics pipelines within cloud environments (AWS, GCP, or Azure), including experience with containerization (eg, Docker).
• Experience with creating Large Language Models (LLMs) and GenAI based solutions in production environment.
• Experienced in designing and implementing CI/CD pipelines.

Structure Therapeutics is committed to fair and equitable compensation practices, and we strive to provide employees with total compensation packages that are market competitive. For this role, the anticipated base pay range is $174K-$217K. The exact base pay offered for this role will depend on various factors, including but not limited to the candidate's geography, qualifications, skills, and experience. At Structure, base pay is only one part of your total compensation package. The successful candidate will be eligible for an annual performance incentive bonus, new hire equity, and ongoing performance-based equity. Structure Therapeutics also offers benefits including medical, dental, and vision insurance, 401k match, unlimited PTO, and a number of paid holidays including winter shutdown.