Source Job

$133,500–$166,900/yr
US

  • Develop and improve analysis pipelines for diagnostic tests.
  • Leverage accurate statistical or probabilistic models to build algorithms and products.
  • Move products through the full development process, from research through commercial launch.

Python R Data Analysis Machine Learning NGS

3 jobs similar to Lead Bioinformatics Scientist

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US

  • Develop and improve analysis pipelines for diagnostic tests, including detection of cancer-associated variants or methylation patterns and implementation of evidence-based quality control thresholds.
  • Leverage accurate statistical or probabilistic models to build the next round of algorithms and products.
  • Move products through the full development process, from research through commercial launch.

They are a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for their work and each other.

US

  • Design and execute analyses for analytical validation studies.
  • Perform relevant statistical analyses for studies of varying complexity.
  • Produce high quality presentations and author documentation.

Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. They aim to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions.

Europe

  • Provide expert understanding and strong technical competency in pre and post sales discussions of NGS capabilities.
  • Design and support custom NGS panel designs utilizing an existing design workflow to meet customers design goals.
  • Provide bioinformatics support for NGS data analysis to support customer troubleshooting and pipeline questions.

Twist Bioscience synthesizes genes from scratch, known as “writing” DNA, enabling advancements in health care, agriculture, industrial chemicals, and data storage. They provide precision at a scale that is otherwise unavailable to their customers.