Resolve to Save Lives (RTSL) is a global health organization that partners locally and globally to create and scale solutions to the world’s deadliest health threats. Millions of people die from preventable health threats. We collaborate
This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at Natera, a global leader in precision medicine and genomics testing. As a Manager of the DED team inside our Data Science Production Engineering (DSPE)
This is an exciting opportunity at Natera (a global leader in precision medicine and genomics testing), to oversee the entire operations of our Extended-Hours Support (ExHS) team, to provide key data analytics services for our lab production operations.
Natera is seeking a Manager, Bioinformatics to lead production support for the bioinformatics and data science algorithms behind our Womens Health and Organ Health products. You will lead a team of Data and Bioinformatics Scientists who are accountable
Natera is seeking a Lead Bioinformatician to advance the algorithmic foundations of our diagnostic assays supporting Women’s and Organ health. This is an individual contributor role. You will bring the genomics expertise the team needs to pull
About Us: Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale.
POSITION SUMMARY: Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics, and cell-free DNA (cfDNA) modalities. You will
Natera is seeking a Senior Bioinformatics Scientist to join our Bioinformatics Research team and help build the machine learning models behind Nateras tissue-free, methylation-based assay. These will be the models that detect cancer in the minimal
Duties: As an active team member of the Computational Innovation department at Boehringer-Ingelheim, the successful candidate will contribute to oncology drug discovery research through in silico data driven approaches. You will leverage multi-modal omics data analysis and collaborate with