Job type full-time
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Full job description
Amyris has developed a high-throughput genetic engineering platform for designing and building custom microbes to serve as living factoriesUsing an industrial scale fermentation process, our microbes convert cheap sugars into a wide variety of high-value target moleculesOur end products directly impact millions of livesWe are pragmatic idealists seeking a profitable way to make the world a better placeWe are convinced synthetic biology is here to stay and will have a major positive impact on our planet and everyday life.
Within amyris r&d, we are searching for a highly energetic, curious, and self-motivated machine learning engineer with a strong background in machine learning, mlops, cloud computing and data engineering to join our data science and computing teamResearch 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 marketFrom 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 automationThe data science and computing team works hand-in-hand with bench scientists and builds tools that enable genome engineering, protein engineering, metabolic modeling, omics experiment analysis, statistical design of experiments and machine learning models in pursuit of making better microbial strains or fermentation processesIn short, we help accelerate the design-build-test-analyze cycle in synthetic biology
Iteratively develop cloud-based data engineering, machine learning and mlops pipelines to meet evolving scientific needs and to aid rapid data-driven decision making while working with a variety of data types including: genotype (ngs), phenotype (metabolomics, proteomics, gc/ms, spectroscopy, fermentation) and material flow.
Build, deploy and maintain cloud-based, version-controlled and reproducible machine learning, data engineering and mlops workflows to support analysis and modeling of rich, high-throughput phenotype data.
Interact closely with cross-disciplinary teams of data scientists, data engineers, software engineers, chemical engineers and biologists to build and maintain scalable machine learning and data engineering pipelines supporting amyris’s data science products.
Communicate architectural designs, considerations, implementation details, best practices, and results to both technical and general r&d audiences.
Research, identify, design and steward adoption of novel solutions that impact multiple projects and establish foundational capabilities for future projects to build upon.
Degree in quantitative discipline such as computer science, mathematics, computational biology, electrical engineering, bioengineering or equivalent experience.
Ph.dPlus 6-10 years’ experience, or m.sPlus 8-14 years’ experience.
Minimum of 3-6 years’ experience developing and deploying machine learning, data engineering and mlops pipelines.
Demonstrated ability to support cloud-based analysis of multiple large scale genomic and genetic platforms such as systems biology, metabolomics, transcriptomics, proteomics, and or genome sequencing.
Experience with programming best practices (unit testing, ci/cd, etc) and version control while contributing to or maintaining large codebases.
Expertise with scripting programming languages (python is preferred).
Hands-on experience with cloud-based machine learning, data engineering and mlops frameworks and concepts.
Outstanding communication and interpersonal skills.
Ability to thrive in a fast-paced and intellectually rigorous environment.
Creativity, independent thinking, and passion.
Able to extract novel insights from integrating and analyzing multiple data sources (e.gHigh-throughput data, fermentation data, functional annotations, and other meta-data).
Intermediate (undergraduate level) understanding of biology topics including: genetics, cell physiology, biochemistry, evolution.
Experience in a microbiology or synthetic biology setting.
At amyris, we believe that diversity, equity, inclusion, and belonging (deib) is essential to our core valuesWe embrace and encourage an equity-minded work culture, knowing that it is the driving force of innovation that positively impacts our employees, consumers, and communitiesAnd for amyris, a sense of belonging is what drives our mission forward and is the foundation of everything we do, ensuring a healthier, more sustainable future for us allMake good, no compromiseAmyris (nasdaq: amrs) is a leading synthetic biotechnology company, transitioning the clean health & beauty and flavors & fragrances markets to sustainable ingredients through fermentation and the company`s proprietary lab-to-market™ technology platformThis amyris platform leverages state-of-the-art machine learning, robotics and artificial intelligence, enabling the company to rapidly bring new innovation to market at commercial scaleAmyris ingredients are included in over 20,000 products from the world`s top brands, reaching more than 300 million consumersAmyris also owns and operates a family of consumer brands that is constantly evolving to meet the growing demand for sustainable, effective and accessible productsFor more information, please visit http://www.amyris.comAmyris, the amyris logo, no compromise, biossance, jvn, pipette, purecane, rose incAnd lab-to-market, terasana are trademarks or registered trademarks of amyris, incIn the u.sAnd/or other countries.
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As a vevraa federal contractor, amyris is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by lawAmyris complies with applicable state and local laws governing nondiscrimination in employment.
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Posted 30+ days ago