Machine Learning Research Scientist

4 days ago


Bristol, Bristol, United Kingdom CellVoyant Full time
About the Role

We are seeking a highly skilled Machine Learning Research Scientist to join our team at CellVoyant. As a key member of our research team, you will play a pivotal role in advancing the development of our AI models, driving innovation in research and development, and contributing to groundbreaking discoveries.

Key Responsibilities
  1. Pioneering Research Advancements: Stay at the forefront of state-of-the-art research papers and cutting-edge methodologies in machine learning to drive innovation in our AI models, enabling predictive modeling, detection, classification, and pattern recognition of stem cell populations.
  2. Data Enrichment: Collaborate with computational biologists to identify and source open-source multi-modal data sets, enhancing the robustness of our AI models and ensuring data relevance and quality.
  3. Data Strategy and Proof of Concept: Develop data collection approaches to validate proof of concept for our AI models, particularly in the context of microscopy data analysis and genomics-related hypotheses.
  4. Collaboration and Communication: Foster strong communication channels with cross-functional teams, including computational biologists, biologists, data scientists, and software engineers, to drive multidisciplinary research projects and integrate computer vision techniques into genomics research endeavors.
Requirements

A strong track record of research publications in top-tier AI conferences, a Ph.D. Degree in a technical subject, and proficiency in programming languages like Python, cloud infrastructure, and relevant software. Excellent analytical, problem-solving, and critical-thinking abilities, as well as a collaborative mindset and expertise in self-supervised ML and generative models.

Nice-to-have Skills or Background

Experience in genomics or bioinformatics research projects, microscopy data, and stem cell research projects in an academic, pharmaceutical, or biotechnology setting.



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