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Bioinformatics Data Scientist

San Carlos, CA, United States

We are looking for a bioinformatics scientist to create quantitative and incisive analyses of DNA sequence attributes and NGS data. The role will include opportunities to develop analyses ranging from early-stage research experiments to production pipelines and databases. The scientist will work closely with molecular biologists as well as the scientific computing team.

This is an opportunity to join a rapidly growing company at an early stage and to have an impact on the development of its products, markets, processes, people, and culture.

Essential Responsibilities:

Develop and implement AI/ML algorithms and statistical models to advance Elegen’s novel synthetic DNA production platform.

Build, optimize, and maintain various pipelines for analysis, data management, and data visualization.

Provide computational support and AI/ML-based data insights to guide the molecular biology and engineering teams on experimental design and analysis.

Design and build front-end sequence analysis interfaces for internal use.

Help design and maintain databases and server networks for internal and external applications.

Essential Qualifications and Experience:

Ph.D. in bioinformatics, computational biology, genomics or a related field or M.S computer/data science with 2+ years of biotech industry experience or B.S. in computer/data science with 4+ years of biotech industry experience.

Experience with development of AI/ML methods for biological applications.

Demonstrated expertise with various NGS systems, data analysis, interpretation, and troubleshooting.

Demonstrated ability to collaborate and communicate effectively with bench science teams.

Knowledge of database architecture, querying (SQL), and management.

Familiar with software development best practices, including version control using GitHub, testing and tracking (Jira), continuous integration and deployment.

Proficiency in Python and Rust, with experience in AI/ML frameworks (such as TensorFlow, PyTorch), and AWS services for deploying AI/ML models.

Preferred Qualifications and Experience :

Familiarity with molecular biology reactions and methods.

Familiarity with gene synthesis methods.

Salary and Benefits:

The annual base salary compensation for this role, if based in California is: $115,000 - $150,000. Compensation may be different in other locations. Final compensation also includes bonus, equity and benefits. Specific offer packages are determined by multiple factors, including candidate skill, experience, expertise, and location.

✓ Healthcare ✓ Dental ✓ Vision ✓ Learning Allowance

✓ 401K ✓ Flexible PTO ✓ Short Term Disability ✓ Fitness Allowance

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