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Computational Biologist

Last Updated: 1/15/14 3:26 PM
Employment Duration: Full-time
Location: San Francisco, California
Job Code: 856
# of Openings: 1


COMPUTATIONAL BIOLOGIST is the world's largest online resource for family history.  We have helped pioneer the market for online family history research, taking a pursuit that was expensive and time-consuming and making it easy, affordable and accessible to anyone with an interest in their family history.  The foundation of our service is an extensive collection of billions of historical records that we have digitized, indexed and put online over the past 15 years.  These digital records and documents, combined with our proprietary online search technologies, tools and collaboration features, have enabled our more than one and half million subscribers to create nearly 30 million family trees that contain nearly 8 billion profiles, make meaningful discoveries about the lives of their ancestors.

We are known for our cutting-edge technology, phenomenal innovation, and offer a compelling and rewarding workplace where you will thrive.  We seek out passionate people to join our mission of helping people discover, preserve and share their family history.  We invite you to explore and discover the many opportunities that await you at 

Job Description:

We are seeking an exceptional candidate to join the team as a

Computational Biologist creating and implementing novel algorithms for genomic analysis. We are mounting a major effort to use genomics to shed light on human diversity, origins and relatedness. The successful candidate will join our efforts to develop, test and apply new algorithms that discover the genetic markers that define families and shed light on genetic genealogy.

In this position, you will develop and apply state-of-the-art methods to identify genetic features that define family, regional or ethnic groups. You will work closely with biologists and population geneticists in analyzing data and publishing results. You will develop, validate and implement new computational tools and collaborate with software engineers to create robust and stable production versions.

This position offers an exciting opportunity to apply cutting edge computational approaches to an unprecedented, large-scale set of pedigreed human genome data.

Characteristic duties will include:

  • Developing and implementing data analysis pipelines and quality assessment procedures.
  • Developing and implementing strategies for the analysis of large genome variation data with respect to human diversity and origins
  • Developing and implementing strategies for integrating genomic data with pedigrees.
  • Help develop new analytical approaches that yield the greatest possible insight from genealogy, genetics, and genomics data sets.
  • Communicate results effectively to a diverse community of scientists and lay people.


  • PhD in computer science, computational biology, bioinformatics,
    or related field.
  • Strong research record demonstrating the ability to develop novel computational approaches to open data mining and analytics problems, especially in genetics, molecular biology and related fields.
  • Outstanding programming skills and a demonstrated ability to develop quality research code from scratch.

Working for is a profitable, growing company with a positive, high-energy environment. Together, our dedicated teams are harnessing the power of technology and using it to simplify the way people connect with their families and their unique legacies.  Our work environment is fast-paced and challenging, but also extremely exciting. You’ll work with a team of passionate, engaged individuals. We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at Inc. is interested in you and we are dedicated to building a diverse workforce with equal opportunities for employment. is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of No fee will be paid in the event the candidate is hired by as a result of the referral or through other means.

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