Principal Data Scientist

Structure Therapeutics; South San Francisco (CA); On-site; USD 174,000 - 217,000; Full time

Job summary

Structure Therapeutics seeks a Principal Data Scientist to lead the Biometrics and Data Management group, driving AI-powered data science tools and scalable production-grade software to accelerate decision-making and patient outcomes.

You will collaborate with clinical scientists, biostatisticians, data managers, and other stakeholders to design, deploy robust data-driven solutions and build production-grade tooling for internal platforms in a multidisciplinary setting.

Qualifications

• 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 (e.g., scikit‑learn, TensorFlow, or PyTorch).
• Demonstrated experience deploying and maintaining models in production (e.g., APIs, batch jobs, microservices).
• Strong analytical thinking and problem‑solving skills.
• Experience with GitHub.

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 (e.g., 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.

Skills

Data Science

Python

R

Machine Learning

Deep Learning

APIs

GitHub

Software Architecture

CI/CD

Education

Bachelor’s degree in CS / Data Science / Stats / Math

Master’s or PhD in CS / ML / Stats / Math

Tools

Docker

AWS

GCP

Azure

Job description

Structure Therapeutics develops life‑changing medicines for patients using advanced structure‑based and computational drug discovery technology. The company’s platform combines the latest advancements in visualization of molecular interactions, computational chemistry, and data integration to design orally available, superior small molecule medicines that overcome current limitations of biologic and peptide drugs. We are advancing a clinical‑stage pipeline of differentiated treatments focused on chronic diseases with high unmet need, including cardiovascular, metabolic, and pulmonary conditions.

Structure Therapeutics is led by an experienced group of international drug innovators and financed by top‑tier global life sciences investors. The company completed an initial public offering (IPO) in February 2023. With offices in California and Shanghai, Structure Therapeutics has the benefit of being at the center of life science innovation in both the US and China and capitalizing on the strengths of each geographic location.

Position Summary

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.

Job 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 (e.g., 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.

Qualifications

• 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 (e.g., scikit‑learn, TensorFlow, or PyTorch).
• Demonstrated experience deploying and maintaining models in production (e.g., APIs, batch jobs, microservices).
• Strong analytical thinking and problem‑solving skills.
• Experience with GitHub.

Preferred Qualifications

• 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 (e.g., Docker).
• Experience with creating large language models (LLMs) and GenAI‑based solutions in production environment.
• Experience in designing and implementing CI/CD pipelines.

Travel Required

Connection week.

Structure Therapeutics Inc. is an Equal‑Opportunity Employer.

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 $174,000–$217,000. 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 a variety of benefits, including medical, dental, and vision insurance, 401(k) match, unlimited PTO, and a number of paid holidays including winter shutdown.