POSITION SUMMARY:

Natera is currently seeking a Senior Engineering Manager for Results, Interpretation and Reporting. The position is for Austin, TX or San Carlos, CA (hybrid), possibility for remote on an exceptional basis.

PRIMARY RESPONSIBILITIES:

Lead a software engineering organization responsible for designing and implementing enterprise-grade systems for results, interpretation and reporting (SOP automation, dry lab review, variant curation and case review systems). The team is composed mostly of bioinformaticians and a smaller number of engineers. Note that this is an engineering position focusing on production systems, so the viewpoint differs from the typical prototype-driven R&D activities.
Engage cross-functionally with other teams such as Product Management, R&D, Clinical Laboratory Scientists, Lab Directors, software architects and senior leadership, aiming to improve processes and systems used for dry lab, tertiary analysis and reporting. Act as a scientific liaison between the senior engineering leadership and these clinical teams.
Create the technical vision and roadmap in collaboration with R&D for the automation and scalability of results, interpretation and reporting processes, supporting current and future test volumes for a portfolio of products (germline and somatic, cell-free DNA, MRD, among others).
Define, analyze and improve existing automated processes (especially SOPs), aiming to increase the quality and reduce TAT of tertiary processes, scaling for higher test volumes, larger panels and new products.
Analyze and improve existing user interface applications and propose solutions based on technical experience and bioinformatics knowledge.
Provide transparency and working progress on deliverables.

QUALIFICATIONS:

10+ years of experience in genetics (may include PhD research and/or postdoctoral fellowship).
6+ years of experience with clinical genomics or bioinformatics, focusing on clinical sample processing, variant curation and interpretation, annotations and diagnostic report generation.
4+ years of experience collaborating with Product Management teams, understanding scientific requirements and creating software solutions to fulfill requirements.
Excellent communication skills.
Experience working with an agile software development team using test-driven development and unit testing framework.
Knowledge in REST API design concepts.

KNOWLEDGE, SKILLS, AND ABILITIES:

Understanding of software development life cycle, agile methodologies, non-functional requirements and software testing methodologies.
Preferred: advanced degree (MS or PhD) in Molecular Biology, Genetics or Bioinformatics.
Experience with the technological aspects of genomics systems.
Knowledge of WDL pipelines, AWS Omics or other genomics platform providers.
Experience with public domain data sources, e.g. Clinvar, gnomAD.
Excellent organizational and time management skills.
Good communication skills in group chat and over the telephone.
Demonstrated teamwork skills with a solid analytical background.

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