Job ID:
Job date: 2018-06-08
End Date: 2018-08-07
Company : Ginkgo Bioworks Country : United States Role : Other
Job date: 2018-06-08
End Date: 2018-08-07
Company : Ginkgo Bioworks Country : United States Role : Other
Job Description:
We are seeking a motivated machine learning expert/computational biologist to join our growing team. Specifically, we are looking for individuals who are passionate about developing novel methods to understand fundamental biology and — using data that only Ginkgo can generate — engineer organisms at scale. At Ginkgo, you will join an interdisciplinary team of individuals enthusiastic about developing scientifically strong solutions to engineering robust organisms in a high-throughput manner. As a member of the Design team, you will work closely with computational biologists, systems biologists, and software developers to develop statistical and learning models to derive unique insights from our highly automated organism foundries. You will use and expand our repository of powerful, scalable tools, and contribute to our scientific colloquium. Source data comes from a variety of experimental domains, including metabolic engineering, evolutionary experiments, and metagenomics studies. Our datasets span multiple host organisms; they include integrated genomics, transcriptomics, proteomics, and metabolomics, as well as other modalities (from phenotypes to metabolic models) over variable time scales. If you are interested in pushing the limits of what biology and machine learning can do together by combining the most advanced techniques with structured, reproducible data, join us! Responsibilities:
Additional Info:
Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe’s growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms. Today, our foundry is developing over 40 different organisms to make different products across multiple industries. To learn more about Ginkgo, check out some recent press: Ginkgo Bioworks secures $275 million in Series D, valuing the company at over $1 billion (TechCrunch) Can This Company Convince You to Love GMOs? (The Atlantic) Hundreds Of Millions Of Dollars Pour Into Hacking Microbes (Forbes) We also feel it’s important to point out the obvious here – there’s a serious lack of diversity in our industry and it needs to change. Our goal is to help drive that change. We hope to continue to build a company whose culture promotes inclusion and embraces how rewarding it is to work with engineers from all walks of life. Making biology easier to engineer is a tough nut to crack – we can’t afford to leave any talent untapped. It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees and employment applicants.[Click Here to Access the Original Job Post]
We are seeking a motivated machine learning expert/computational biologist to join our growing team. Specifically, we are looking for individuals who are passionate about developing novel methods to understand fundamental biology and — using data that only Ginkgo can generate — engineer organisms at scale. At Ginkgo, you will join an interdisciplinary team of individuals enthusiastic about developing scientifically strong solutions to engineering robust organisms in a high-throughput manner. As a member of the Design team, you will work closely with computational biologists, systems biologists, and software developers to develop statistical and learning models to derive unique insights from our highly automated organism foundries. You will use and expand our repository of powerful, scalable tools, and contribute to our scientific colloquium. Source data comes from a variety of experimental domains, including metabolic engineering, evolutionary experiments, and metagenomics studies. Our datasets span multiple host organisms; they include integrated genomics, transcriptomics, proteomics, and metabolomics, as well as other modalities (from phenotypes to metabolic models) over variable time scales. If you are interested in pushing the limits of what biology and machine learning can do together by combining the most advanced techniques with structured, reproducible data, join us! Responsibilities:
- Develop, adapt, and apply learning algorithms to novel applications across multiple problem domains in biology and biological engineering
- Work with Ginkgo scientists and engineers to generate and analyze large-scale biological datasets
- Discover features in Ginkgo’s datasets that drive organism engineering decisions
- Use your expertise to identify and drive applications of machine learning toward novel use cases throughout Ginkgo
- Rapidly prototype models and analyses
- Have a lasting impact on our core business by developing and integrating tools into Ginkgo's software infrastructure
- MS/PhD or equivalent experience in machine learning, data science, computational biology, bioinformatics, or physical sciences
- 4 years of experience — graduate work counts! — in computational data analysis, including at least 2 years of hands-on experience preparing and analyzing data collected from the real world (e.g. laboratories or production environments, rather than simulated or classroom data)
- Experience training and debugging deep networks (e.g. CNNs, RNNs)
- Experience writing production-quality code (please provide a link to any publicly available code when applying)
- Experience with the Python’s data analysis and software engineering stacks (SciPy, Numpy, Pandas, matplotlib, SciKit-Learn, Jupyter, PyTorch/Keras, nose)
- Ability to clearly communicate with multidisciplinary scientific staff in a collaborative and diverse environment
- Experience applying machine learning tools and methods to biological data strongly preferred
Requeriments :
Skills :
Areas :
Additional Info:
Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe’s growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms. Today, our foundry is developing over 40 different organisms to make different products across multiple industries. To learn more about Ginkgo, check out some recent press: Ginkgo Bioworks secures $275 million in Series D, valuing the company at over $1 billion (TechCrunch) Can This Company Convince You to Love GMOs? (The Atlantic) Hundreds Of Millions Of Dollars Pour Into Hacking Microbes (Forbes) We also feel it’s important to point out the obvious here – there’s a serious lack of diversity in our industry and it needs to change. Our goal is to help drive that change. We hope to continue to build a company whose culture promotes inclusion and embraces how rewarding it is to work with engineers from all walks of life. Making biology easier to engineer is a tough nut to crack – we can’t afford to leave any talent untapped. It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees and employment applicants.[Click Here to Access the Original Job Post]