Job Description
We are seeking a highly skilled AI Scientist to join our team at Rejuvenate Biomed, a clinical-stage biotechnology company based in Belgium.
The ideal candidate will have a foundational background in AI research and a keen interest in applying machine learning to complex biological data. They should have practical experience with contemporary deep learning frameworks and a history of problem-solving with AI/ML tools.
Responsibilities
* Conduct research and development of AI/ML algorithms for the analysis of high-throughput biological data and knowledge graphs to further the understanding and finding treatments for age-related diseases.
* Participate in the Artificial Intelligence unit's efforts to develop and refine AI/ML models with a focus on graph machine learning.
* Support the implementation of ML algorithms and assist in validating and testing these models to ensure accuracy and reliability.
Qualifications
* A MSc or PhD in Computer Science, Data Science, Bioinformatics, Computational Biology, or a related field with a focus on AI/ML model development.
* Research experience in AI/ML with a portfolio or publications demonstrating a focus on machine learning and computational analysis.
* Solid understanding of AI/ML principles, statistical methods, and the ability to apply this knowledge to biological datasets.
* Proficient in programming with Python and R. Experience with SAS is beneficial.
* Experience with deep learning frameworks such as PyTorch, TensorFlow, and JAX.
* Knowledge of database management systems, both relational and non-relational. Experience with graph databases is a plus.
* Familiar with project management tools like Jira and version control systems like Git.
* Experience with ETL pipeline construction and management, preferably within the biological data domain.
* Skilled in the use of container technologies like Docker and orchestration with Kubernetes.
* Competence in cloud computing (Azure, AWS, GCP). Certifications in these technologies is beneficial.
Soft Skills
* Clear communication: Capable of effectively communicating technical concepts and research outcomes to non-computational colleagues.
* Team collaboration: Enjoy working as part of a team and contributing to collective goals.
* Enthusiasm for knowledge sharing: Avid learner and contributor to team knowledge sharing and training.
* Continuous learning: Keen to acquire new skills and stay updated with the latest AI research and techniques.
* Analytical thinking: Tackles problems with an analytical mindset, seeking innovative approaches.
* Initiative: Displays initiative and can work independently on research tasks while contributing to broader team objectives.