Data Scientist 3 (957)

Emeryville, CA

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Posted 1 month ago

Within Amyris R&D, we are searching for a highly energetic, curious, and self-motivated scientist with a strong background in statistics, computing and biology to join our DSC (Data Science and Computing) team. Research at Amyris is a highly multidisciplinary effort that needs brilliant contributions from life sciences and engineering disciplines in order to take projects from concept to market. From hacking directly on DNA in the lab to full scale factory production, every aspect of our work is facilitated and accelerated by quantitative science and software & hardware automation. The DSC works hand-in-hand with bench scientists and builds tools that enable genome engineering, protein engineering, metabolic modeling, omics experiment analysis, and statistical design of experiments in pursuit of making better microbial strains. In short, we help accelerate the design-build-test-analyze cycle in synthetic biology.

Responsibilities

  • Iteratively develop computational algorithms, analysis and visualization tools to meet evolving scientific needs and to aid rapid data-driven decision making. Data types include: genotype (NGS), phenotype (metabolomics, proteomics, GC/MS, spectroscopy, fermentation), material flow
  • Build version-controlled, computable workflows to analyze rich, high-throughput data
  • Interact closely with biology, analytical chemistry, and fermentation scientists
  • Collaborate with automation engineers and software developers of in-house enterprise systems to mine experimental data and metadata

Qualifications

  • Degree in quantitative discipline such as computer science, mathematics, computational biology, bioengineering. PHD or MS degree. Industrial biotech experience not necessary.
  • Experience in analyzing & visualizing large genomic datasets including alignment, assembly, and annotation of next generation sequence data
  • Equally excited about improving data processing pipelines and delivering insights based on data analysis.
  • Undergraduate level understanding of genetics, molecular biology cell physiology, biochemistry, evolution, sequencing technologies
  • Programming experience writing/maintaining large codebase using software best practices (e.g. unit testing, code review) and distributed version control (e.g.git)
  • Outstanding communication and interpersonal skills
  • Ability to thrive in a fast-paced yet intellectually rigorous environment
  • Creativity, independent thinking, and passion
  • Experience with the following a plus
  • Experience coding in Python, R, F#.NET, React
  • Experience using Amazon Web Services, cloud-based parallelization
  • Background in mass spectrometry informatics, HTS, spectrophotometry, or industrial fermentation
  • Experience in a microbiology or synthetic biology setting
Amyris, a leader in industrial synthetic biology, uses its innovative bioscience solutions to achieve renewable products by converting plant sugars into hydrocarbon molecules. Amyris’ molecules are used in wide range of specialty & performance chemicals, flavors & fragrances and in applications ranging from cosmetics to biofuels. Learn more at www.amyris.com.
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Job tags: Engineering Industrial Python R Research
Job region(s): North America
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