Principal Data Scientist

Posted 3 Days Ago
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South San Francisco, CA, USA
Hybrid
174K-217K Annually
Expert/Leader
Biotech • Pharmaceutical
The Role
The Principal Data Scientist will lead the development of AI-powered data science tools, collaborating with cross-functional teams to enhance clinical research and optimize trials. Responsibilities include designing scalable solutions, ensuring software reliability, and communicating insights effectively.
Summary Generated by Built In

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.
  • Experienced 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 solution in production environment.
  • Experienced 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 $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 various benefits offerings, including, but not limited to, medical, dental, and vision insurance, 401k match, unlimited PTO, and a number of paid holidays including winter shutdown.

Notice to Recruiters/Staffing Agencies

Recruiters and staffing agencies should not contact Structure Therapeutics through this page. All recruitment vendors (search firms, recruitment agencies, and staffing companies) are prohibited from contacting our hiring manager(s), executive team members, or employees.

We require that all recruiters and staffing agencies have a fully executed, formal written agreement on file.

Structure Therapeutics’ receipt or acceptance of an unsolicited resume submitted by a vendor organization to this website or employee does not constitute an actual or implied contract between Structure Therapeutics and such organization and will be considered unsolicited and Structure Therapeutics will not be responsible for related fees.

Fraud Alert

To all candidates: your personal information and online safety are a top priority for us. At Structure Therapeutics, direct candidates to apply through our official career page at BambooHR.

Recruiters will always contact you using the domain of Structuretx.com. We will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Structure Therapeutics, please email human resources.


Skills Required

  • 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.
  • At least 5 years of hands-on experience developing production-grade software
  • Strong expertise in Machine Learning and Deep Learning techniques
  • Demonstrated experience deploying and maintaining models in production
  • Experienced with Github
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The Company
HQ: South San Francisco, California
144 Employees
Year Founded: 2017

What We Do

Structure Therapeutics is a science-driven clinical-stage biopharmaceutical company focused on discovering and developing innovative oral small molecule treatments for chronic metabolic and cardiopulmonary conditions with significant unmet medical needs. Utilizing its next generation structure-based drug discovery platform, Structure Therapeutics has established a robust GPCR-targeted pipeline, featuring multiple wholly-owned proprietary clinical-stage small molecule compounds designed to surpass the scalability limitations of traditional biologic and peptide therapies and be accessible to more patients around the world.

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