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Data Scientist

South San Francisco, California, United States

Open 5 months, first seen by us 160 days ago
Pay
$148,000–182,000/year · BaseAnnual period assumed. Location-specific pay — pay source
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 $148K-$182K. 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.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting

We are seeking a highly motivated Data Scientist with strong software engineering skills to join the Biometrics and Data Management group.

Enhance the existing platforms by contributing to the development, validation, deployment, and ongoing maintenance.

  • Enhance existing platforms through development, validation, deployment and maintenance

  • Develop and validate data science tools for clinical research and trial optimization

  • Make analytical solutions scalable and reliable using testing, documentation and CI/CD

From the employer’s posting
We are seeking a highly motivated Data Scientist with strong software engineering skills to join the Biometrics and Data Management group. This role will focus on advancing the current platform and developing novel and scalable data science tools to support evolving business needs. As a key contributor 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 contribute to building production-grade tools and frameworks that extend the capabilities of the current internal platforms.
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).

What you’ll bring

All qualifications

Core experience

  • 10+ years of data science experience with a Bachelor's degree (8 with a Master's, 4 with a Ph.D.)
  • At least 3 years building production-grade software in Python or R
  • Bachelor's degree in computer science, data science, statistics, mathematics or related field
  • Strong machine learning and deep learning skills (Scikit-learn, TensorFlow, PyTorch)
  • Experience with GitHub

Preferred experience

  • 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.
Qualification wording
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
Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
Strong expertise in Machine Learning and Deep Learning techniques (e.g., Scikit-learn, TensorFlow, or PyTorch).
Experienced with Github.
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.
Education & alternatives
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.
- 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.
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).

Posting record

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Open 5 monthsWe first saw this posting 160 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 4, 2026160 days ago
Recorded sightings
134
Last seen by us
Nov 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$195K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,817 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 160

Up longer than most. Similar jobs usually come down between day 8 and day 59.

From 11,414 similar postings that came down. Coming down is not always a hire.

Structure Therapeutics is hiring

1 open job

  • No new data jobs since July
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • AWS
  • Azure
  • Docker
  • GCP
  • Matplotlib
  • Plotly
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
- 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.
- 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.
- 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.
- 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.

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,126.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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 Data Scientist with strong software engineering skills to join the Biometrics and Data Management group. This role will focus on advancing the current platform and developing novel and scalable data science tools to support evolving business needs. As a key contributor 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 contribute to building production-grade tools and frameworks that extend the capabilities of the current internal platforms.



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.
  • 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 $148K-$182K. 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.

 

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Pay
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 $148K-$182K. 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.
Location & working pattern

South San Francisco, California, United States

Working pattern and location restrictions need checking in the full posting.

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