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Role Description

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 shaping our AI/ML 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.

• Strategic Development: 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.
• Solution Evaluation and Implementation: 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.
• Cross-Functional Collaboration: 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.
• Data and Infrastructure: 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.
• Innovation and Research: 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.

Qualifications

• 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 in a corporate environment.

Requirements

• 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, 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.

Benefits

• Salary range: $126,000 - $158,000.
• Discretionary annual target bonus, stock options, ESPP, and 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, and a winter company shutdown.