Crinetics Pharmaceuticals · 23 hours ago
Sr AI/ML Engineeer
San Diego, CA
Full-time
Onsite
Senior Level, Lead/Staff
$164K/yr - $205K/yr
8+ years expCrinetics Pharmaceuticals is a pharmaceutical company based in San Diego, California, developing much-needed therapies for people with endocrine diseases and endocrine-related tumors. They are seeking a highly motivated and experienced Senior AI/ML Engineer to drive the adoption of artificial intelligence and machine learning across the organization, contributing to the company's AI/ML roadmap and collaborating with various departments.
BiotechnologyHealthcarePharmaceuticalHealth CareTherapeutics
Responsibilities
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 and language 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
Other duties as assigned
Qualification
Required
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 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, dashboards, and applications in an enterprise 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 front end and back end orchestration, version control (Git), testing, and CI/CD
Excellent problem-solving and analytical skills
Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical audiences
Demonstrated ability to work independently and as part of a collaborative team
A strategic mindset and the ability to think creatively and drive innovation
Preferred
Experience in the biopharmaceutical or biotechnology industry
Familiarity with drug discovery and development processes
Experience with life sciences data sources (e.g., genomic data, clinical trial data, real-world evidence)
Knowledge of GxP regulations and experience working in a regulated environment
Benefits
Discretionary annual target bonus
Stock options
ESPP
401k match
Top-notch health insurance plans for employees (and their families) to include medical, dental, vision and basic life insurance
20 days of PTO
10 paid holidays
Winter company shutdown
Company
Crinetics Pharmaceuticals
Crinetics is a clinical-stage pharmaceutical company that develops therapies for people with rare endocrine diseases.
501-1000 employees
Funding
Current Stage
Public CompanyTotal Funding
$2BKey Investors
Frazier Healthcare PartnersNational Institutes of HealthPerceptive Advisors
2026-01-06Post Ipo Equity· $349.22M
2024-10-08Post Ipo Equity· $500M
2024-02-28Post Ipo Equity· $350M
Leadership Team
R. Scott Struthers
Founder, CEO
A
Alan S. Krasner
Chief Endocrinologist
Recent News
BioWorld Financial Watch
2026-01-15
Company data provided by crunchbase