The Associate Director, Bioinformatics will head up a diverse team of bioinformatics scientists, data scientists, and data engineers to build practical solutions to support all clinical labs at Illumina. You will collaborate with multiple teams including software, clinical, lab operations, research, product development, and external KOLs. Your work will drive data strategy, analytics, and data insights for 4 main workflows in the lab: Genotyping, Whole Genome Sequencing, Oncology, and Reproductive Health.
- Lead, develop, and manage a team of bioinformatics scientists, data scientists, and data engineers.
- Develop clinically focused solutions through analysis of large-scale datasets and application development.
- Expertise with building and administering bioinformatics systems on a large scale using cloud, high performance computing (HPC) or hybrid infrastructures
- Design scalable data warehouse and data lake solutions that foster data analytics driven decision making.
- Support sequencing and microarray workflows through data analysis and clinical validation support.
- Collaborate with various internal teams including software, clinical, operations, research, and product development.
- Act as bioinformatics functional lead for a multitude of projects in support of high throughput lab operations.
- End-to-end analysis that includes design, data gathering, processing, analysis, iteration with stakeholders, and presentation of results.
- Work creatively and analytically in a problem-solving environment demonstrating teamwork, innovation and excellence
- Lead data/ML strategy and road map planning
- Ability to travel (25%) between San Diego, Foster City.
- Demonstrated ability to manage bioinformatics teams, provide technical leadership, and lead and contribute to cross functional projects.
- Proven track record of contributions demonstrated by practical experience supporting real world applications, customer driven scalable solutions, and patents or publications
- Must-have 7 years relevant experience in positions of increasing responsibility.
- Deep understanding of modern statistical and machine learning tools for analysis of genomics datasets.
- Demonstrated expertise in at least one programming language (R, Python, Go, C++).
- Technical leadership and self-direction, willingness to both teach others and learn new techniques.
- Effective written and verbal communication skills.
- Masters or Ph.D. in Bioinformatics, Computational Biology, Statistics, Biological Sciences, Cancer Biology, Genetics, Genomics, Computer Science, Physics, or equivalent preparation and experience.