AD Scientific Innovation

About the Role

This role is responsible for driving the strategic vision, innovation roadmap, and execution of next-generation bioinformatics technologies that enable breakthrough products in genomics, precision medicine, molecular diagnostics, and AI-driven healthcare. The position combines scientific innovation, computational expertise, and cross-functional collaboration to transform emerging technologies into scalable clinical and commercial solutions. This role can be remote or hybrid.

Responsibilities

• Define and execute bioinformatics innovation initiatives.
• Identify emerging technologies in bioinformatics, multi-omics, AI, and digital health.
• Evaluate novel computational methods and translate cutting-edge research into commercially viable products.
• Partner with cross-functional teams to translate innovative computational solutions into prototypes.
• Support product roadmap planning and technology transfer.
• Evaluate external technologies, open-source platforms, strategic partnerships, and licensing opportunities.
• Foster a culture of innovation, collaboration, scientific excellence, and continuous learning.

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, Biomedical Engineering, or related field.
• 8 years of experience in bioinformatics, computational biology, or genomics.
• 3 years of experience managing and leading a team, including direct people management responsibilities.
• Familiarity with modern programming languages such as Python, R, C++, or Java.
• Demonstrated success leading innovative computational solution development.
• Deep knowledge of genomics, NGS analysis, statistical genetics, and computational biology.
• Experience developing production-grade bioinformatics pipelines and software platforms.
• Excellent communication and presentation skills.

Preferred Qualifications

• Strong understanding of machine learning and AI applications in life sciences.
• Experience working in multidisciplinary teams.
• Experience with cloud computing platforms (AWS, Azure, or Google Cloud).
• Experience with large-scale genomic databases and real-world clinical data.
• Track record of patents, publications, or successful product launches.

Skills

• Strong bioinformatics knowledge
• Strong genomics knowledge
• Strategic Thinking
• Innovation
• Scientific Excellence
• Cross-functional Collaboration
• Data-Driven Decision Making

Physical Demands and Work Environment

• Frequently required to sit, talk, and hear.
• Regular use of computer, keyboard, and standard office equipment.
• May be required to manage multiple competing priorities in a fast-paced environment.