Natera is hiring a
Senior Bioinformatics Scientist

Summary

Join Natera's Bioinformatics Research Team as a Senior Bioinformatics Scientist to contribute to innovative algorithm development, genomics, and machine learning in oncology. The ideal candidate should have a strong background in algorithm development, genomics, sequencing data processing, and/or applied machine learning.

Requirements

• PhD in Bioinformatics, Computer Science, Statistics, or related field with a strong focus on cancer epi/genomics
• Track-record of developing state-of-the-art computational methods or highly cited publications
• Highly experienced in algorithm development, data analysis, NGS troubleshooting, and machine learning
• Familiar with public databases such as TCGA, COSMIC, or OncoKB
• Experience in Python
• Experience using Linux command-line tools and writing shell scripts
• Ability to perform hypothesis driven research, visualize findings and summarize results in oral and written form
• High scientific rigor and eager to teach and learn about new computational methods and biology
• Rapidly design, prototype, and test many possible hypotheses in a high-ambiguity environment, making use of both research and production judgment. Report results in a scientifically-oriented way
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to research, technical, and executive stakeholders. Support adoption of these to impact multiple teams

Responsibilities

• Design, implement, and validate innovative algorithms and statistical methods to analyze large-scale data sets related to cancer detection
• Foster a culture of innovation, collaboration, and scientific excellence
• Work closely with molecular biologists and clinical scientists to solve challenging problems
• Contribute to experimental design and ensure data integrity and quality control
• Experience of developing and deploying automation microservices utilizing AWS, WDL/Snakemake, Docker and CI/CD technologies
• Collaboration Experience with Artificial Intelligence/Machine Learning (AI/ML) peers to research, design, develop, and evaluate cutting-edge generative AI algorithms to address oncology questions

Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
• Free testing in addition to fertility care benefits
• Pregnancy and baby bonding leave
• 401k benefits
• Commuter benefits