About the Role
Design and implement scalable data science solutions to support product development and scientific discovery using large-scale genomic and experimental data.
Responsibilities
- Develop and deploy machine learning models to analyze high-dimensional biological data
- Collaborate with cross-functional teams to define data-driven product requirements
- Translate scientific questions into analytical frameworks and testable hypotheses
- Optimize data pipelines for performance and reproducibility
- Conduct statistical analysis to validate experimental results
- Create visualizations and reports to communicate findings to technical and non-technical stakeholders
- Evaluate new data sources and assess their utility for modeling tasks
- Ensure models comply with regulatory and quality standards
- Mentor junior data scientists and contribute to team best practices
- Stay current with advancements in genomics, machine learning, and data engineering
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Remote
Team
Part of a centralized data science team collaborating with R&D, bioinformatics, and product groups
Why This Role Matters
- This position directly influences the development of tools that accelerate genomic research and improve health outcomes.
- You will work at the intersection of data science and biology, solving real-world problems in life sciences.
What to Expect
- Regular collaboration with scientists and engineers across time zones.
- Opportunities to publish or present work internally and externally.
- Access to cutting-edge genomic datasets and computational resources.
May be available for qualified candidates
