Staff Scientist, Machine Learning (Genomics)

About the Role

Natera is seeking a highly motivated Staff Machine Learning Scientist to join our rapidly growing company. As a member of the Data Science research team you will participate in the design and prototyping of cutting edge algorithms for analysis of genetic and clinical data. You will perform data analysis, algorithm design, contribute to our intellectual property portfolio, and interact closely with R&D and product teams to define the requirements and improve the products and processes. PRIMARY RESPONSIBILITIES: ML/DL Research Leadership: Lead research on machine learning and deep learning models using NGS data. Frame the problem, choose the approach, and decide when a model has earned the next round of investment. This is an individual contributor role with Staff-level scope. You will set the technical direction of the work, not just carry out a plan someone else wrote. Algorithm and Model Development: Design, build, and benchmark the models and features behind the next generation of Women Health and Organ Health products. Apply statistical learning and deep learning to high-dimensional, noisy, often small-sample sequencing data. Know when a simpler method is the right answer. Working with Bioinformatics Pipelines: Work directly with the existing sequencing pipelines and their outputs without needing a bioinformatician to run, change, or interpret them for you. When results look wrong, trace the problem back through each processing step and work out whether it comes from the pipeline, the data, or the biology. Build or extend pipeline components when a project needs it. Study Design and Experimental Partnership: Work with molecular biology and assay development scientists to design experiments. Help decide what data to generate, how much of it, and with what controls so the analysis can answer the question. Troubleshoot experiments alongside the lab, and tell a biology problem from a data or analysis problem. Rigor and Documentation: Set the standard fo

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.