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Data Scientist - Oncology Product Development
Posted on 4/26/2022
INACTIVE
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Research
Python
Requirements
  • Bachelor's degree in engineering, applied math, statistics, or similar, Master's degree preferred
  • At least 1-year practical experience in scientific data analysis using software such as Python
  • Previous experience in next-generation sequencing analysis
  • Strong foundation in probability theory and/or statistics including concepts like joint and conditional probability distributions, parameter estimation and hypothesis testing
  • Excellent verbal and written communication skills and the desire to work in a dynamic and collaborative environment
  • Desire to learn about human genetics and sequencing technologies
Responsibilities
  • Analyze next-generation sequencing data ranging from single research experiments to commercial data sets of hundreds of thousands of samples
  • Develop Python software infrastructure to support algorithm testing and simulation studies
  • Contribute to research and product development efforts in the Data Science group
  • Produce correct conclusions based on rigorous mathematical analysis and principles of statistics and probability
  • Produce high quality technical documentation including research reports and algorithm specifications
Desired Qualifications
  • Previous experience in cancer genomic data analysis is a plus
Natera

1,001-5,000 employees

Clinical genetic testing
Company mission
Natera's mission is to change the management of disease worldwide with a focus on reproductive health, oncology, and organ transplantation.
Benefits
  • Flexible medical plans
  • Investment options
  • Time off
  • Workplace perks
Company Values
  • A person behind every sample
  • Embrace diversity
  • Be accountable
  • Think team
  • Learn and nimble
  • Show me the data
  • Be ready to change the world
  • Integrity is in our DNA