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aws python machine learning airflow bioinformatics📋 Description
- Scientific leadership: Define and execute the scientific roadmap aligned with company goals.
- Team leadership: Manage and mentor a team of senior scientists and data scientists.
- Algorithmic research: design/optimize scalable production algorithms for genetic data.
- Collaborate with engineering/product/data teams to translate research into features.
🎯 Requirements
- Strong experience in human population genetics and genomics analysis.
- Ph.D. in Genetics, Computational Biology, Bioinformatics, or related field.
- 5+ years of scientific research, including 3+ years in leadership.
- Genomic data pipelines and bioinformatics tools.
- Machine learning or statistical modeling for biological data.
- Proficiency in Python; familiarity with Snakemake/Airflow.
- Experience with AWS is an advantage.
- Excellent written and verbal communication skills.
🎁 Benefits
- Purpose-driven company shaping heritage discovery.
- Collaborative, international team driven by innovation.
- Flexible remote work environment.
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