Associate Director, AI/ML Engineering, Medical Imaging

Calyx

7d • Remote

About The Position

As Associate Director, AI/ML Engineering, you will lead the development and integration of cutting-edge artificial intelligence and machine learning (AI/ML) solutions into our imaging platform for clinical trials. This role is central to driving the digital transformation of our platform—enhancing data-driven decision-making, accelerating trial execution, and improving outcomes. In this role, you will lead a multidisciplinary team of engineers and scientists, shaping and executing an ambitious AI/ML strategy aligned with our R&D roadmap. You will be responsible for defining technical architecture, establishing best practices, and championing AI/ML capabilities across the organization. This role also involves managing talent, fostering innovation, and cultivating a culture of technical excellence and collaboration

Requirements

• Excellent understanding of machine learning algorithms, neural network, and statistical analysis.
• Strong numerical/statistical background including image processing.
• Strong source code management skills with git.
• Strong programming skills in languages such as Python and/or C++.
• Demonstrable ability to challenge work (such as identifying and adding new custom features with improved timelines).
• Knowledge of MLOPs tools and practices for continuous integration/deployment of ML models.
• Excellent interpersonal, verbal and written communication skills.
• A flexible attitude with respect to work assignments and new learning.
• A self-starter and able to work under own initiative.
• Ability to plan own work to meet given objectives and processes.
• Ability to handle production support work.
• Ability to manage multiple and varied tasks and prioritize workload with attention to detail.
• Shows initiative and self-confidence, is adaptable and able to manage changing and evolving priorities.
• Ability to work methodically in a fast-paced, time-sensitive environment.
• Demonstratable ability to apply critical thinking to problems and tasks.
• Proactively participates in skills improvement training.
• Ability to coach and mentor others to succeed enhancing individual and professional development.
• Sharing knowledge, skills, and expertise to others.
• Ability to manage a globally distributed and multi disciplined team, including motivating, developing and coordinating team members.
• Ability to identify the appropriate leadership style to manage the individuals in their team.
• Strong problem-solving skills and analytical thinking ability.
• Leadership potential attention to detail, and passion for innovation.
• Maintains an up-to-date awareness of trends, tools, technology, techniques and processes that affect technology within the Life sciences domain.
• Proven experience in developing and deploying AI/ML solutions in real-world applications with demonstrable experience of productizing AI/ML models.
• Proven experience in leading and developing AI/ML teams.
• Expertise in Machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies.
• Strong background in data structures, algorithms, and software engineering principles.
• Strong experience with medical imaging modalities (such as CT, MRI, PET, or SPECT) and DICOM standard.
• Experience with feature stores and ML data pipelines.
• Ph.D. or Master’s degree in a relevant field (such as mathematics, computer science, data science, electrical engineering or biomedical engineering).
• English: Fluent.

Responsibilities

• Sets the strategic direction and supports the strategic roadmap for AI/ML adoption and innovation within the organization.
• Contributes to governance frameworks and recommended protocols for responsible, ethical and sustainable development and use of AI.
• Contributes to the development of organizational capabilities, policies, standards and guidelines in AI.
• Collaborates with senior stakeholders to identify high-impact opportunities for AI and drives their implementation.
• Follows research and industry trends and integrates them into organizational practices.
• Works closely with senior leaders within RD to align engineering goals with broader organizational objectives and demonstrates leadership by contributing to strategic discussions.
• Serves as a key thought partner to senior leadership, providing regular updates on AI/ML initiatives, progress, risks, and opportunities.
• Builds a team that drives innovation, aligns with Company culture and values, and delivers business priorities.
• Develops a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development.
• Leads, mentors, and manages a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation.
• Focuses on nurturing future leaders and provides growth opportunities through coaching, training, and mentorship.
• Serves as an AI/ML evangelist across the organization, promoting awareness and understanding of the capabilities and value of AI/ML technologies.
• Partners with scientists, domain experts, software engineers and product teams to define requirements.
• Supports Product Manager to Translate business requirements into technical AI solutions.
• Communicates complex technical concepts to technical and non-technical stakeholders.
• Oversees the end-to-end lifecycle of AI/ML projects, from concept and design through to deployment and optimization, ensuring timely and successful delivery.
• Provides strategic technical direction for AI/ML initiatives, ensuring alignment with the broader R&D and platform transformation goals.
• Provides technical leadership and mentorship, guiding engineers in implementing scalable, secure, robust, and high-performing AI/ML systems for clinical trials applications.
• Leads code and model reviews, ensuring high standards of quality, performance, and documentation.
• Fosters a collaborative and inclusive team culture that encourages innovation, continuous learning, and knowledge sharing, encouraging the exploration of new tools, technologies, and methodologies.
• Ensures adoption of ML-Ops best practices, including model versioning, testing, deployment, and monitoring.
• Supports the team in identifying the state-of-the-art AI technique (ML, Deep Learning, genAI …) and the needed data sets, to solve the business problem.
• Stays current with AI/ML research advances and evaluates their practical applications.
• Identifies opportunities to improve existing systems with new techniques.
• Contributes to the company’s intellectual property through innovative solutions.
• Publishes and presents work at conferences.
• Carries out any other reasonable duties as requested.

Benefits

• Medical, Dental and Vision benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs)
• Paid time off policy including holidays and sick time
• Internal growth and development programs & trainings
• 401(k) program, life & accident insurance and disability insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees