New 
Data Scientist I
 Spectraforce Technologies | |
 United States, California, Irvine | |
 Jul 03, 2025 | |
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Job Title: Data Scientist I
Location: Irvine CA - Hybrid Duration: 12 months About the Role: We are seeking an exceptional 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: * Assist in the development of AI-driven projects involving Computer Vision and Generative AI for images. * Contribute to the fine-tuning of CNNs and other deep learning models for image processing in pharmaceutical applications. * Support the research and implementation of state-of-the-art AI techniques to optimize model accuracy and robustness. * Help optimize LLM and CV frameworks for efficiency and scalability. * Collaborate with cross-functional teams to support the integration of AI-driven solutions into existing workflows. * Stay informed about emerging AI trends and methodologies to contribute to advancing company research. * Participate in team meetings and contribute to a culture of learning and innovation. Who You Are: * BSc or MSc in Data Science, Machine Learning, AI, or a related field. * 1-3 years of experience in machine learning, computer vision, or related areas. * Familiarity with Computer Vision, CNNs, and Generative AI for images. * Proficiency in Python and familiarity with Postgres databases. * Experience working in a Linux environment and/or cloud platforms like AWS is a plus. * Understanding of ML model evaluation, optimization, and deployment. * Strong analytical and problem-solving skills with an interest in AI-driven solutions. * Good communication and collaboration abilities. * Eagerness to learn and contribute to AI advancements in pharma | |