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Machine Learning Research Scientist
1 month ago
CellVoyant is a pioneering biotechnology company that leverages live cell microscopy and artificial intelligence to predict stem cell differentiation. Our mission is to unlock human tissue manufacturing for research and therapeutic applications, ultimately driving groundbreaking discoveries and creating new opportunities for pioneering research and publications.
Job DescriptionWe are seeking a highly motivated and skilled Machine Learning scientist to join our team. As a Machine Learning scientist, you will play a pivotal role in advancing the development of our AI models, contributing to research, methodology development, data enhancement, and collection. Your primary responsibilities will include:
- Pioneering Research Advancements: Identifying and leveraging 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.
- Data Enrichment: Identifying and sourcing open-source multi-modal data sets (e.g., genomics and microscopy imaging) to enhance the robustness of our AI models, collaborating closely with computational biologists to ensure data relevance and quality.
- Data Strategy and Proof of Concept: Strategically identifying essential data requirements and developing data collection approaches to validate proof of concept for our AI models, particularly in the context of microscopy data analysis and genomics-related hypotheses.
- Collaboration and Communication: Collaborating with cross-functional teams, including computational biologists, biologists, data scientists, and software engineers, to drive multidisciplinary research projects, fostering strong communication channels to effectively integrate computer vision techniques into genomics research endeavors.
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. Knowledge of ML/scientific libraries, excellent analytical, problem-solving, and critical-thinking abilities, and a collaborative mindset are essential for success in this role.
Experience with Large-Scale System Design, expertise in Self-Supervised ML and Generative Models, and familiarity with Advanced Decision-Making Approaches are highly desirable.
Nice-to-have Skills or Background- (A big plus) Experience in genomics or bioinformatics research projects in an academic, pharmaceutical, or biotechnology setting.
- (A big plus) Experience in microscopy data and their applications.
- Proven experience in stem cell research projects in an academic, pharmaceutical, or biotechnology setting.
