AI Research Lead
We are seeking a highly experienced and innovative AI researcher to lead cutting-edge projects in the analysis of high-throughput biological data and knowledge graphs.
The ideal candidate will have a strong background in AI/ML research, significant expertise in developing advanced machine learning solutions for complex biological datasets, and demonstrated leadership in implementing AI/ML strategies.
Responsibilities:
* Design and implement 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.
Benefits:
* A competitive salary package.
* 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.
About Us:
We are a dynamic organization dedicated to advancing the understanding and treatment of age-related diseases through innovative AI-powered solutions.