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Perceptive Inc. · 3 weeks ago

Associate Director, AI/ML Engineering, Medical Imaging

United States

Full-time

Remote

Lead/Staff, Director/Executive

$126K/yr - $233K/yr

Perceptive Inc. is dedicated to shaping the future of clinical research, helping the biopharmaceutical industry bring advanced medical treatments to market faster. The Associate Director of AI/ML Engineering will lead the development and integration of AI/ML solutions into the imaging platform for clinical trials, managing a team and driving innovation while aligning with the company's R&D roadmap.

Clinical TrialsHealth CarePharmaceutical

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

Qualification

AI/ML solutions developmentMachine learning frameworksCloud platforms experienceMedical imaging knowledgeStatistical analysisProgramming in Python/C++MLOps tools knowledgeLeadership skillsCommunication skillsProblem-solving skillsTeam managementCritical thinkingAdaptabilityInitiativeAttention to detail

Required

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

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

Preferred

Candidates located in the East Coast Time Zone are preferred

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

Company

Perceptive Inc.

Expanding on their combined 50-year history, Perceptive provides best-in-class specialist support to global pharmaceutical, biotech, and clinical research organizations, spanning the complete R&D lifecycle, from discovery and preclinical through clinical development to post marketing.

Founded in 1996