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Machine Learning Researcher

2 months ago

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

We are seeking a highly motivated and skilled Machine Learning Researcher 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
  • Pioneering Research Advancements: Identify and leverage 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: Identify and source open-source multi-modal data sets, such as 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 identify essential data requirements and 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.
  • Collaboration and Communication: Collaborate 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.
Requirements
  • A strong track record of research publications in top-tier AI conferences such as NeurIPS, AAAI, ICLR, ICML, CVPR, ECCV, IJCV.
  • Ph.D. degree in a technical subject, such as machine learning, AI, computer science, mathematics, physics, or statistics.
  • Proficiency in programming languages like Python, cloud infrastructure (e.g., Google Cloud), and experience with relevant software (e.g., GitHub, Docker).
  • Knowledge of ML/scientific libraries such as TensorFlow, PyTorch, NumPy, and Pandas.
  • Excellent analytical, problem-solving, and critical-thinking abilities.
  • A collaborative mindset and the ability to work closely with computational biologists to identify hypotheses and validate proof of concept are essential for success in this role.
  • Experience with Large-Scale System Design.
  • Expertise in Self-Supervised ML and Generative Models such as Auto-encoders and GANs (Generative Adversarial Networks).
  • Familiarity with Advanced Decision-Making Approaches: such as Deep Reinforcement Learning (DRL), Imitation Learning (IL), and learning from demonstrations.
  • Expertise in Multi-Task and Multi-Modal Learning.
  • Proficiency in Sequential Models such as Transformers.
Nice-to-Have Skills or Background
  • Experience in genomics or bioinformatics research projects in an academic, pharmaceutical, or biotechnology setting.
  • Experience in microscopy data and their applications.
  • Proven experience in stem cell research projects in an academic, pharmaceutical, or biotechnology setting.
Benefits
  • Join a dynamic, diverse, and inclusive team of experienced and interdisciplinary scientists applying their skills to some of the most impactful problems in human health, to make a long-lasting positive impact on society.
  • Ability to work remotely or in our Bristol, UK headquarters and join bi-annual week-long company off-sites.