Requirements: English
Company: Rejuvenate Biomed
Region: Diepenbeek , Flanders
Rejuvenate Biomed is a clinical-stage biotechnology company based in Diepenbeek, Belgium. Our mission is to discover and develop therapeutics to delay the onset or progression of age-related diseases. We are looking for an experienced and innovative Senior AI Scientist for a full-time, permanent position.
Profile
We seek a Senior AI Scientist with a strong background in AI/ML research and significant expertise in developing advanced machine learning solutions for complex biological datasets. The ideal candidate will have demonstrated leadership in developing and implementing AI/ML strategies, a proven ability to solve complex challenges in computational biology, and a collaborative mindset. If you are driven to build AI initiatives that revolutionize the approach to age-related diseases, we encourage you to apply.
Responsibilities
- Lead cutting-edge AI/ML R&D projects for the analysis of high-throughput biological data and knowledge graphs to advance the understanding and treatment of age-related diseases.
- Drive the design and implementation of innovative graph machine learning and RAG solutions to support drug discovery and development efforts.
- Collaborate with multidisciplinary teams, providing expert guidance on AI/ML methodologies and their integration into the broader research framework.
- Mentor and support team members in developing and using AI/ML models and tools.
- Oversee the validation and testing of AI/ML models to ensure robustness, accuracy, and reproducibility.
- Contribute to publications and presentations showcasing impactful AI-driven discoveries.
Qualifications
- A PhD in Computer Science, Data Science, Bioinformatics, Computational Biology, or a related field with a strong focus on AI/ML model development.
- Extensive research experience in AI/ML, with a track record of high-impact publications or patents in machine learning.
- Deep expertise in AI/ML principles, statistical methods, and their application to large-scale biological datasets.
- Proficiency in Python and R. Familiarity with SAS is beneficial.
- Extensive experience with deep learning frameworks such as PyTorch, TensorFlow, and JAX.
- Expertise in database management systems, including graph databases.
- Proven experience with ETL pipelines for biological data and knowledge graph construction.
- Advanced knowledge of container technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
- Strong proficiency in cloud computing platforms (Azure, AWS, GCP), with certifications being advantageous.
- Familiarity with project management tools like Jira and version control systems like Git.
Soft skills
- Leadership: The ability to manage research projects and inspire junior colleagues.
- Strategic thinking: Strong capability to design and implement forward-thinking AI/ML strategies.
- Communication: Excellent skills in communicating complex concepts to technical and non-technical audiences.
- Collaboration: Work effectively in cross-functional teams to achieve ambitious goals.
- Adaptability: Thrive in dynamic environments, embracing change and innovation.
- Initiative: Demonstrates self-motivation and ownership of projects from concept to execution.
Our offer
- At Rejuvenate Biomed, we offer you a challenging and impactful role within an ambitious company.
- A competitive salary, complemented by a package of extra legal benefits.
- Flexible working hours and the option to work partially from home.
- Opportunities for personal and professional growth in a rapidly growing sector.
- Collaboration with a passionate and multidisciplinary team.
- The chance to contribute to groundbreaking technologies with a significant impact on global health.
Location
Our headquarters are located in BioVille, the Health Campus of Hasselt/Diepenbeek (Belgium). Here, you will work in an inspiring environment where innovation and collaboration are at the heart of everything we do.
Ready to make a difference? Interested in taking a leadership role in an international context? We look