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Senior Applied Data Scientist - Computer Vision & Generative AI

Senior Applied Data Scientist - Computer Vision & Generative AI

Planet PharmaIrvine, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Job Description

Target PR Range : 65-75 / hr

  • Depending on experience

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.
  • Equal Opportunity Employer : We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.

    Fraud Alert : Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it's from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.

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