• • C2C and third-party candidates will not be considered • • About the Role: We are seeking an exceptional Senior Applied Data Scientist specializing in computer vision and image-based data to drive innovation within our pharmaceutical R&D division. You will be at the forefront of developing, fine-tuning, and optimizing advanced Computer Vision (CV), Convolutional Neural Networks (CNNs), and Generative AI models to enhance clinical and aesthetic programs. This role is a balance of research and practical application, working with emerging AI technologies to create cutting-edge solutions for image analysis in healthcare and life sciences. What You’ll Do: • Lead and innovate AI-driven projects involving Computer Vision, Generative AI for images, and Large Language Models (LLMs). • Develop and fine-tune CNNs, SSM, and other deep learning models to enhance image processing in pharmaceutical applications. • Research and implement state-of-the-art AI techniques to optimize model accuracy, speed, and robustness. • Optimize LLM and CV frameworks for efficiency and scalability. • Develop advanced ensemble models using fine-tuning and prompt engineering techniques. • Collaborate with cross-functional teams to integrate AI-driven solutions into existing workflows. • Stay updated with emerging AI trends and apply new methodologies to advance company research. • Mentor junior team members, fostering a culture of learning and innovation. Who You Are: • MSc or PhD in Data Science, Machine Learning, AI, or a related field. • 7+ years of industry experience in machine learning, computer vision, or related areas. • Strong expertise in Computer Vision, CNNs, SSM, and Generative AI for images. • Expert proficiency in Python and familiarity with Postgres databases. • Experience working in a Linux environment and with cloud platforms like AWS. • Solid understanding of ML model evaluation, optimization, and deployment. • Strong analytical and problem-solving skills with a passion for AI-driven solutions. • Excellent communication and collaboration abilities. • Demonstrated ability to innovate, solve complex problems, and contribute to AI advancements in pharma. Bonus Points For: • Additional experience in LLMs and their applications in AI-driven pipelines. • Prior work in healthcare, biotech, or pharmaceutical AI applications. • Experience with multi-modal AI systems integrating text and image processing. • • C2C and third-party candidates will not be considered • •