AD Scientific Innovation
On-siteHouston, Texas, United States
Job Summary
Define and execute bioinformatics innovation ideas by identifying emerging technologies in multi-omics, AI, and digital health. Evaluate novel computational methods to translate cutting-edge research into commercially viable products and partner with cross-functional teams to transform solutions into prototypes. Support product roadmap planning, technology transfer, and the evaluation of external technologies, open-source platforms, and licensing opportunities. Foster a culture of innovation, collaboration, and scientific excellence while managing multiple priorities in a fast-paced environment. Lead innovation initiatives across computational biology, machine learning, and cloud computing to enable breakthrough products in genomics and precision medicine.
Required Qualifications
- 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
- Onsite on Baylor Genetics premises
Desired 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
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