Senior AI/ML Engineer
Crinetics Pharmaceuticals
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteSalary
💰 $126,000 - $158,000 per year
Job Level
Senior
Tech Stack
AzureCloudPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Collaborate with the Executive Director of Enterprise Solutions & Innovation to define and execute the company's AI/ML roadmap
- Identify and prioritize high-impact use cases across various business functions, including research, clinical development, manufacturing, and commercial operations
- Lead the technical evaluation of both internal and external AI/ML solutions
- Design, build, and deploy scalable and robust machine learning models on our Azure/Databricks platform
- Assess and integrate vendor-provided AI/ML technologies, ensuring they meet our scientific and business requirements
- Partner with stakeholders from R&D, Clinical Operations, Regulatory Affairs, and other departments to understand their needs and translate them into data science questions and solutions
- Serve as a subject matter expert on AI/ML, providing guidance and training to colleagues
- Work closely with IT and data engineering teams to ensure the availability and quality of data required for AI/ML initiatives
- Contribute to the development of our data infrastructure and best practices for data governance and management
- Stay abreast of the latest advancements in machine learning, artificial intelligence, and data science
- Champion a culture of innovation by exploring novel approaches and technologies that can be applied to our business challenges
Requirements
- Master's or Ph.D. in a quantitative field such as Computer Science, Data Science, Statistics, Computational Biology, or a related discipline
- 8-10 years experience with 3-5 years of hands-on experience in data science and machine learning, with a proven track record of developing and deploying AI/ML models in a corporate environment
- Expert proficiency in programming languages such as Python or R
- Extensive experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
- Strong knowledge of SQL and experience working with relational and non-relational databases
- Hands-on experience with cloud computing platforms, preferably Microsoft Azure and Databricks
- Solid understanding of software engineering best practices, including version control (Git), testing, and CI/CD
- Excellent problem-solving and analytical skills
- Strong communication and interpersonal skills
- Demonstrated ability to work independently and as part of a collaborative team
- Experience in the biopharmaceutical or biotechnology industry (preferred)
- Familiarity with drug discovery and development processes (preferred)
- Experience with life sciences data sources (e.g., genomic data, clinical trial data, real-world evidence) (preferred)
- Knowledge of GxP regulations and experience working in a regulated environment (preferred)