Senior Data Scientist

Job ID:
Job date: 2018-06-10
End Date: 2018-08-09

Company : Zymergen 

Country : United States 

Role : Research Scientist 


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Job Description:
We are seeking an experienced Data Scientist to join our multidisciplinary Data Science team. This position can be in either our Emeryville (East SF Bay Area) or Seattle offices. We are a diverse group of statisticians, bioinformaticians, mathematicians, biologists, and machine learning experts who use data to improve all aspects of our business -- from strain design and analysis of test results, to process optimization and high-level business strategy.

Our primary projects involve:

  • Analytical automation and pipeline construction to support standard processing of high-throughput experimental data
  • Predictive modeling for making design recommendations
  • Analysis of factory activity to understand sources of error and identify areas for optimization.
  • The design and optimization of experiments
Qualifications/Experience :
  • M.S. or higher in computer science, statistics or math, or equivalent industry experience
  • 5+ years industry experience with at least 3 as a data scientist or equivalent work
  • 3+ years of experience in software engineering. Specifically building data-driven software end-to-end from initial data analysis to production implementation.
  • Advanced python skills and working knowledge of pandas, scikit-learn, Airflow, seaborn and other analytical modules. Familiarity with R is a plus.
  • Strong machine learning background and analytical mindset.
  • Ability to collaborate with research scientists, understand their challenges, and design software solutions to address challenges.
  • Strong communication and explanatory skills, including extensive technical writing with tools such as Jupyter notebooks and/or R Markdown.
  • Experience with NoSQL technologies, e.g. graph databases is a plus.
  • M.S. or higher in biology or related subject matter is a plus
  • Prior experience with hands-on laboratory work a plus
  • Experience with JMP and Excel is a plus.


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Additional Info:
Founded in 2013 and based in the San Francisco Bay Area, Zymergen is a technology company unlocking the power of biology. We deliver better economics for products made from biology that are used across industries, bring new products to market faster, and develop novel products. Our proprietary platform uses robots and machine learning to engineer microbes faster, more predictably, and to a level of performance previously unattainable. These microbes, and the products they produce, have broad applications across industries such as chemicals and materials, agriculture, and healthcare. For more information visit www.zymergen.com ( http://cts.businesswire.com/ct/CT?id=smartlink&url=http%3A%2F%2Fwww.zymergen.com%2F&esheet=51436625&newsitemid=20161010006215&lan=en-US&anchor=www.zymergen.com&index=1&md5=eadf9f7cb8a0bdbfa22eb7b2688a7e09 ).

A key element of our success is our ability to apply the latest in software tools, Big Data technology, and machine learning techniques to challenges in chemistry and manufacturing. Zymergen’s software engineering team plays a critical role in distinguishing our products and systems from those developed by our competitors.

Working at Zymergen offers you exposure to a field that makes a difference in the lives of millions of people: low-cost, scalable chemical manufacturing touches everything from how airplanes are built to the frontiers of life-saving medicines. In addition to working at a fast-growing startup, you’ll have the satisfaction of knowing you are building a future that was the realm of science fiction just ten years ago. Previous experience in a Life Sciences company or setting is not essential.

Interest in working at one, and learning about genetics and bioinformatics, is.

This position can be out of either our Seattle or San Francisco Bay Area offices.

Individuals seeking employment at Zymergen are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

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