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MyHeritage is a global leader in family history and consumer DNA testing, serving millions worldwide. The company is expanding beyond genetic genealogy into health-related products, including clinical genomics, high-coverage whole genome sequencing, and wellness and trait analyses.
You will serve as Director of Science, guiding MyHeritage's scientific research and development in genetics and genomics. This is a leadership role central to building the algorithms, pipelines, and scientific standards for new health products while supporting continued development of core genetic genealogy offerings such as ethnicity estimation, relationship inference, and local ancestry analysis.
Key responsibilities include:
- Define and execute the scientific roadmap aligned with company goals, including expansion into health and clinical genomics
- Manage and mentor a team of senior scientists and data scientists, providing technical direction and fostering scientific excellence
- Lead design, development, and validation of scalable, production-ready algorithms and pipelines for sequencing analysis, variant interpretation, carrier screening, polygenic risk scores, and genetic genealogy methods
- Collaborate with engineering, product, and data teams to translate research into user-facing features, communicating scientific concepts and progress internally and externally
Your work will directly impact millions of users worldwide, leveraging one of the largest consumer genetics datasets available.
The company offers a hybrid work model with offices in Or Yehuda and Tel Aviv (shuttle service available), on-site gym and Pilates classes, dog-friendly office, well-stocked kitchens with monthly meal allowance, and fully funded supplemental health insurance.
REQUIREMENTS:
- Ph.D. in Computational Biology, Bioinformatics, Genetics, Computer Science, or related quantitative field
- Strong track record in computational genomics and algorithm development
- Hands-on experience with clinical genomics and sequencing data analysis (WGS/WES), including variant calling, annotation, and interpretation
- Experience applying machine learning or statistical modeling to biological data
- 5+ years of scientific research experience, including 3+ years in a leadership role
- Experience with large-scale genomic datasets and production-scale computational pipelines
- Excellent written and verbal communication skills and demonstrated ability to lead projects and collaborate across disciplines
- Advantageous: experience in regulated or clinical genomics settings, polygenic risk scores, carrier screening, population or statistical genetics, or AWS
