Compensation Overview

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