Data Scientist

Description

Location: [Irvine CA, hybrid might be considered]

Junior/Mid-level Applied Data Scientist – Computer Vision & Generative AI

Job Type: Full-time

Manager's Update:

• Having an exp. with cloud platforms like AWS would be a plus but not a deal braker
• Must have exp. with Python (Pytorch)
• Able to work with QA teams
• Handling Image data exp. would be a requirement
• Must have computer Vision exp.
• Min Educational Qualification: Bachelors or Masters Degree
• Must be strong in modeling
• Must have exp. with computer vision basics and vision modeling
• Must have AI & ML exp.
• Looking for 1-3  years of exp.
• Must have exp. of solve a problem
• Prior Healthcare/pharma/regulated industry exp. would be a plus

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.