N
Us Remote, Canada· Remote
$163.2K – $204K/yr
PythonMachine Learning
N
Role overview
Job description
Natera is seeking an innovative and driven bioinformatics scientist to lead and conduct cutting-edge real-world evidence (RWE) analyses and predictive analytics across oncology, organ health, and women’s health datasets. This unique role blends expertise in bioinformatics, artificial intelligence (AI), machine learning (ML), and the manipulation of complex real-world data (RWD). Candidate will leverage advanced AI methodologies to extract actionable clinical insights from vast multimodal datasets (genomics, clinical, demographic), driving impactful data visualization and advancing our application of genomics in a real-world clinical setting. The ideal candidate should have strong project management skills, and a keen eye for visualizing complex data in an impactful way to advance our understanding and application of genomics in a real-world setting. Key Responsibilities: Bioinformatics
…About this listing
- Source: Natera's official careers site (via Greenhouse) · last confirmed on the source 27 Oct 2026
- Posted 3 Aug 2026
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What they are looking for
Skills & requirements
Qualification
Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field At least 10 years of relevant experience Proven expertise in bioinformatics, particularly in genomics data analysis. Demonstrated expertise in cancer genomics, including genomic alterations, molecular pathways, and cancer biology Expert knowledge of bioinformatics tools including mapping, variant calling, CNV analysis and statistical methods Strong experience in managing, querying, and analyzing massive-scale genomic and healthcare datasets using SQL, Python, or R, and data visualization tools Additional expertise in germline genetics, particularly in relation to organ health and prenatal health, is a significant plus. AI/ML Expertise: Proficiency in predictive analytics, advanced machine learning, deep learning, and statistical modeling. Strong hands-on experience with AI frameworks such as PyTorch, TensorFlow, Keras, etc. Understanding of real-world clinical data, such as electronic health records, claims data, patient registries, health surveys. Familiarity with common data models (e.g., OMOP) and experience utilizing NLP/LLM to parse unstructured clinical data. Ability to interpret clinical endpoints
Department · Engineering RWD
Hiring company
Natera
Healthcare
Dedicated to oncology, women’s health, and organ health. Natera’s cell-free DNA tests help protect health and inform more personalized decisions about care.
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