Principal AI Data Scientist

About the Role

We are seeking an AI/ML & Generative AI Scientist to support the development and deployment of innovative artificial intelligence solutions that transform clinical research and digital healthcare. In this role, you will work across clinical trial operations, medical content generation, predictive analytics, and patient-focused digital health initiatives. You will collaborate with cross-functional teams to design, build, and implement machine learning and generative AI applications that improve efficiency, enhance data-driven decision-making, and support better outcomes for patients and healthcare stakeholders.

About the Company

Our client is a global, research-driven biopharmaceutical organization focused on addressing significant unmet medical needs through scientific innovation. The company combines deep expertise in drug development with a commitment to advancing patient care through cutting-edge technologies, data science, and digital health solutions. With a collaborative and entrepreneurial culture, the organization invests in emerging technologies to accelerate research, improve healthcare delivery, and create meaningful impact for patients worldwide.

Key Responsibilities

• Support the development and implementation of AI/ML and Generative AI solutions to optimize clinical trial operations, including patient recruitment, patient retention, real-time data monitoring, and automated data collection systems.
• Design and develop Generative AI applications for automated clinical documentation generation, including medical reports, clinical study reports, study protocols, and patient narratives.
• Contribute to the development of digital healthcare applications focused on medical and scientific tools, real-world evidence generation, and patient engagement solutions.
• Build predictive models and generative AI solutions using diverse healthcare datasets, including: Clinical trial data, Electronic health records (EHRs), Wearable device data, Patient-reported outcomes (PROs), Health Economics and Outcomes Research (HEOR) data and Phase IV and real-world studies
• Apply natural language processing (NLP) and Generative AI techniques for medical text analysis, interpretation, and content generation.
• Collaborate with business stakeholders, clinical experts, data scientists, and technology teams to identify opportunities and deliver impactful solutions.
• Ensure AI/ML solutions comply with regulatory requirements, data governance policies, and healthcare privacy standards.
• Support model deployment, monitoring, and maintenance using cloud-based and MLOps best practices.
• Contribute to technical documentation, validation activities, and knowledge sharing across teams.

Essential Qualifications & Experience

• Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, Artificial Intelligence, or a related field.
• 3–5 years of professional experience in data science, machine learning, AI, or a related discipline.
• At least 1 year of experience applying AI/ML techniques to healthcare, life sciences, clinical research, or related healthcare datasets.
• Strong programming skills in Python, R, or similar languages.
• Hands-on experience with modern machine learning and deep learning frameworks such as PyTorch and TensorFlow.
• Demonstrated experience with Generative AI technologies, including Large Language Models (LLMs), prompt engineering, and related frameworks.
• Experience developing NLP and Generative AI solutions for medical or scientific text processing.
• Knowledge of digital healthcare tools and application development.
• Familiarity with cloud computing platforms, particularly AWS.
• Understanding of software development best practices, code version control, and MLOps deployment approaches.
• Strong communication and stakeholder management skills, with the ability to build productive relationships across technical and non-technical teams.

Preferred Qualifications

• Experience implementing AI solutions within healthcare, biotechnology, pharmaceutical, or clinical research environments.
• Knowledge of clinical development processes, regulatory requirements, and healthcare data privacy standards.
• Experience working with real-world evidence (RWE), HEOR datasets, or digital health technologies.
• Familiarity with healthcare interoperability standards and modern data engineering practices.

What We Offer

• Opportunity to work on cutting-edge AI and Generative AI applications in healthcare and clinical research.
• Exposure to diverse datasets and high-impact business challenges.
• Collaborative, science-driven environment with opportunities for innovation and professional growth.
• Competitive compensation and benefits package.