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- Weekends Off
- Overtime Pay
- 9-to-5
Responsibilities
- Strategy and Vision: Build and define the Bioinformatics function within the Data Science development team. Identify technical tooling gaps and execute a roadmap to advance genomics-based algorithm development.
- Quality Standards: Establish and enforce pipeline and algorithm quality standards, including review processes, validation frameworks, and documentation practices.
- Infrastructure and Automation: Own and architect a scalable AWS-based data science and bioinformatics infrastructure. Ensure the quality, reproducibility, and reliable deployment of Next-Generation Sequencing (NGS) algorithms.
- MLOps Implementation: Implement MLOps tooling and automated validation frameworks to support reliable algorithm deployment into clinical production.
- Cross-Functional Collaboration: Partner with Research teams to ensure alignment of bioinformatics capabilities with ongoing research initiatives and clinical objectives.
- Team Leadership: Mentor and guide a team of data scientists and bioinformatics experts, fostering a culture of innovation and continuous improvement.
Requirements
- Master's or Ph.D. in Bioinformatics, Data Science, or a related field.
- Proven experience in bioinformatics, data science, and algorithm development, preferably in a healthcare or clinical setting.
- Strong proficiency in AWS cloud services and scalable infrastructure design.
- Experience with Next-Generation Sequencing (NGS) technologies and their application in clinical products.
- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
- Proven track record of leading projects from inception to completion.
- Exceptional communication skills, both verbal and written.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- 401(k) retirement plan with company matching.
- Generous paid time off and flexible working arrangements.
- Opportunities for professional development and continuous learning.
- A dynamic and inclusive work environment that fosters innovation.
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