What are the responsibilities and job description for the Senior Applied Data Scientist – Computer Vision & Generative AI position at Planet Pharma?
Target PR Range: 65-75/hr
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
- Depending on experience
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.
- 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.
- 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.