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

Target PR Range: 35-45/hr
*Depending on experience

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.