Senior Data Scientist - Algorithm Development

Job Location
201 Industrial Road
San Carlos, CA 94047

Key Benefits

  • Medical, Dental and Vision coverage for employees and families
  • Disability and life insurance coverage offered at no additional cost
  • 401K Retirement savings plan
  • EAP Employee Assistance Program
  • Ten paid holidays per year
  • Flexible Paid Time Off
  • Working Advantage employee purchasing program with discounts of up to 60%
  • Commuter FSA Program; transit spending account options available for Naterans taking public transit to work. We are located near Belmont and San Carlos Caltrain stations.


Office Perks

  • Healthy catered lunches
  • Premium snacks and beverages
  • Onsite gym with cardio and weight-training equipment
  • Dog-friendly office
  • Game room with satellite TV
  • Onsite dry cleaning and alteration service with pick-up and delivery
  • Complimentary chair massages
  • Ample employee garage parking
  • Employee-organized sport leagues
  • Happy hours and BBQs
  • Generous employee referral program
  • Close to downtown San Carlos shops and restaurants
Job Description

What you’ll do as a Senior Data Scientist:

  • Participate in research efforts into building probabilistic models for next generation sequence platforms
  • Leverage accurate probability models to build the next round of algorithms and products
  • Move products through the full development process, from research through commercial launch
  • Contribute to our intellectual property portfolio
  • Drive rigorous data analysis effort and support group efforts toward high quality documentation
  • Help develop and guide molecular biology experiments




  • PhD in applied math, engineering, statistics, or similar
  • Excellent foundation in probability theory and estimation/classification methods
  • Proven ability to apply mathematical principles to solve real estimation problems and implement practical solutions
  • Experience with data analysis software such as Matlab or R (could be replaced by extensive experience in a procedural language such as C++)
  • Excellent communication skills and the desire to work in a dynamic and collaborative environment
  • Desire to learn about genetics, sequencing technologies, etc

 Useful additions, not required:

  • Experience with a high level programming language such as Java
  • Experience with a database query language such as SQL


How to Apply

Please apply online at

About Our Organization

Natera is a Silicon Valley-based genetic testing company that develops and commercializes non-invasive methods for analyzing DNA. Our mission is to help families diagnose and manage genetic disease.

Natera is headquartered in San Carlos, California and has more than 700 employees worldwide – doubling in size in the last 18 months. 

Natera’s expertise lies in identifying and analyzing tiny amounts of foreign DNA in a host body.  For example, one of our leading products measures tiny amounts of fetal DNA in a pregnant woman’s blood stream.  Our unique SNP based methods and advanced bio-informatics algorithms allow us to deliver results that are more accurate than other technologies.  This requires teams of experts from genetics, statistics and engineering and laboratory, clinical and commercial specialists, who collaborate to deliver substantial results.  Sequencing technology is increasing exponentially, similar to Moore’s Law; Natera is at the forefront of taking advantage of this data, and is redefining the utility of genetic information.  This change is disrupting the medical community and being embraced by consumers worldwide.

We are currently expanding to offer our suite of tests in the cloud to laboratories worldwide and expanding our cell free DNA technology into the field of oncology.  Natera’s approach is well-suited for early detection, monitoring and treatment stratification of cancers.  Clinical trials to demonstrate the ability of our technology to analyze circulating tumor DNA are ongoing.  If you want to work in a fun and fast-paced environment, develop along with other really smart people and help us achieve extraordinary success, we want to hear from you.



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