Delivery Leader - AI/ML | Jobs at Intuitive Technology Partners

About the job:

Role Overview

We are seeking an experienced Practice Lead – AI/ML with a strong background in life sciences, pharmaceuticals, or healthcare. The ideal candidate will combine technical leadership in AI/ML architecture with domain expertise in medical or pharma data, ensuring the successful delivery of AI-driven solutions that enhance research, clinical, and commercial outcomes.
The role demands a unique blend of strategic delivery management, hands-on technical acumen, and cross-functional collaboration with data scientists, clinicians, and business stakeholders.

Key Responsibilities:
Delivery Leadership

Lead end-to-end delivery of AI/ML projects within the medical/pharma domain, ensuring timelines, quality, and compliance.
Define delivery roadmaps, sprint plans, and milestones aligned with business and regulatory requirements.
Oversee cross-functional teams including data engineers, ML scientists, and domain SMEs.
Monitor project performance, proactively manage risks, and ensure adherence to GxP and data governance standards.

Architecture & Technical Oversight

Design scalable AI/ML architectures leveraging cloud platforms (AWS, Azure, or GCP).
Guide the development of machine learning pipelines for clinical data, RWE (Real-World Evidence), drug discovery, or patient analytics.
Evaluate and implement frameworks for NLP, computer vision, or predictive analytics in healthcare.
Ensure data integrity, security, and interoperability with medical data standards (HL7, FHIR, CDISC, OMOP, etc.).

Stakeholder & Business Collaboration

Act as a bridge between data science, IT, and clinical/business stakeholders.
Translate business needs into technical solutions and ensure clear communication across teams.
Collaborate with medical affairs, R&D, and regulatory teams to align AI solutions with scientific and ethical standards.

Innovation & Governance

Drive adoption of AI/ML best practices, MLOps frameworks, and reusable assets.
Stay abreast of emerging trends in AI for life sciences and proactively recommend improvements.
Ensure compliance with data privacy and ethical AI principles (HIPAA, GDPR, etc.).

Required Skills & Experience

Education: Bachelor’s or master’s in computer science, Biomedical Engineering, Data Science, or related field. PhD preferred.
Experience: 10+ years of total experience, with at least 4–5 years in AI/ML delivery leadership.
Proven track record in delivering AI/ML projects in pharma, healthcare, or medical research domains.
Strong understanding of medical data sources (EHR, clinical trials, RWD, genomics, etc.).
Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps tools (Kubeflow, MLflow, Airflow).
Expertise in cloud services (AWS SageMaker, Azure ML, GCP Vertex AI).
Familiarity with compliance standards and clinical data handling.
Excellent communication, stakeholder management, and leadership skills.

Nice to Have

Experience with LLMs, GenAI, or multimodal AI in healthcare.
Knowledge of Ontologies, Knowledge Graphs, or semantic modeling in biomedical contexts.
Exposure to regulatory AI applications (e.g., drug safety, pharmacovigilance).

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