Bioinformatics and Computational Biology Lead, Special Projects

Job ID:
Job date: 2014-10-15
End Date:

Company : Google 

Country :

Role : Research Scientist 


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Job Description:

Google engineers develop the next-generation technologies that change how users connect, explore, and interact with information and one another. As a member of an extraordinarily creative, motivated and talented team, you develop new products that are used by millions of people. We need our engineers to be versatile and passionate to tackle new problems as we continue to push technology forward. If you get excited about building new things and aren't daunted by the challenge of building something from scratch, then our team might be your next career step. Google Life Sciences is recruiting a technical lead with experience in bioinformatics and clinical bioinformatics, including for biomarker discovery projects such as the Baseline study.
Responsibilities
  • Lead teams of scientists in structuring, prototyping, and executing large-scale bioinformatic and other analysis.
  • Develop novel bioinformatics, statistical, data processing, pathway, data mining and other algorithms to identify biological signals and their clinical correlates in broad kinds of individual and population data.
  • Develop novel platform-level analytical tools for sequence-based assays (assembly, annotation, variant calling and interpretation, phasing, genome structure, etc.), expression assays (RNAseq and microarray), proteomics, and metabolomics.
  • Develop statistical models that robustly correlate complex laboratory-derived information with phenotypic and clinical information.
  • Create scientifically rigorous visualizations, communications, and presentations of results.
Minimum qualifications
  • Ph.D. (or M.D) in computational biology/bioinformatics, biostatistics, computer science, bioengineering, mathematics, or related fields with academic focus on analytical methods outlined above or equivalent practical experience.
  • 5 years of postgraduate experience, including experience in an industrial or startup setting and 3 years of scientific or academic management experience.
  • Experience in the analysis and annotation of large “-omics” data sets (clinical or benchtop).
  • Programming experience, including experience developing scalable bioinformatics algorithms in Python, Perl, C++, or Java. Experience with existing bioinformatics tools and statistical programming in R.
Preferred qualifications
  • Experience in managing collaborations, including with overseas development teams and clinical or research partners.
  • Ability and desire to direct and mentor scientists and engineers from diverse disciplines.
  • Familiarity with relational databases and Linux.
  • Excellent written and oral communication skills.
Area
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to tackle some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From AdWords to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.
Hardware Engineering
Design and build the systems at the heart of one of the world’s largest computing infrastructures. Learn more about our Hardware Engineering roles
Mountain View (Global HQ)
Want to stop talking about changing the world and actually do it? At Google Mountain View, our global headquarters, we make products for hundreds of millions of users around the world that change the ways they create, share, communicate, collaborate and do business. Learn more about our Mountain View global headquarters
Job details
Team or role:
Hardware Engineering
Job type:
Full-time
Last updated:
Oct 07, 2014
Job location(s):
Mountain View, CA, USA


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