Associate Director, AI/ML Engineering, Medical Imaging

• 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, gen

AI ...) and the needed data sets, to solve the business problem.

• 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 Tensor

Flow, Py

Torch, 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.

At Perceptive, we enable the world’s pharmaceutical, biotech, and clinical research organizations to rapidly discover and advance life-changing treatments.

Together, our global team delivers unmatched scientific and technological expertise, global operational experience, and end-to-end solutions to help the global research community realize tomorrow’s new therapies. To do this, we need people like you.

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