Sr AI/ML Engineeer

Crinetics Pharmaceuticals • San Diego, CA

2d • $164,000 - $205,000

About The Position

Crinetics Pharmaceuticals is seeking a highly motivated and experienced Senior AI/ML Engineer to join our newly formed Enterprise Solutions & Innovation group. This is a unique opportunity to be a foundational member of a team that will drive the adoption of artificial intelligence and machine learning across the organization. The successful candidate will be a key contributor in scaling our established data, AI/ML, and CI/CD strategy, evaluating and implementing solutions, and demonstrating the value of data-driven decision-making. This role requires a blend of deep technical expertise, strategic thinking, and the ability to collaborate effectively with cross-functional teams.

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 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.

Nice To Haves

• 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.

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.

Benefits

• In addition to your base pay, our total rewards program consists of a discretionary annual target bonus, stock options, ESPP, and 401k match.
• We also provide 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, and a winter company shutdown.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree