Arbor Biotechnologies is a biodiscovery company that sits at the intersection of computer science and high throughput experimental data collection. With rapidly decreasing DNA sequencing costs, the genomes of many organisms (e.g. bacteria) are being uncovered for the first time. At Arbor, you will be at the cutting edge of biodiscovery, systematically searching through nature’s gene diversity to discover and engineer new protein technologies for improving human health and sustainability.
We're looking for experienced software engineers and top graduate students / post-docs with:
- Strong software engineering and interpersonal skills
- Experience building production-quality systems for data collection and normalization
- Success applying a range of machine learning algorithms on real world data sets
- Robust data analysis skills, and ability to present results to both technical and non-technical audiences
- A demonstrated ability to spin up quickly and have a high impact across multiple domains
- At least 1-2 years of experience or industry internships
At Arbor Biotechnologies, we're building a search engine to organize all the proteins in the world to develop impactful new technologies. The dropping costs of DNA sequencing has been out-pacing Moore's law, leading to an unprecedented amount of natural diversity (eg bacterial proteins) being uncovered for the first time.
We have an incredible team of scientists pushing the boundaries of high throughput protein characterization in the lab, and our scientific founders have previously founded companies now publicly traded and worth > $1B.
We're looking for talented software engineers to help build out technology by expanding our data aggregation and data processing pipelines, and improving our core search engine.
At Arbor, we're building a search engine to organize all the proteins in the world. As a software engineer in this early-stage venture-backed startup, you will have considerable latitude and be expected to build scalable and robust data processing pipelines, while also defining and using interfaces to enable complex searches for proteins that can lead to impactful new technologies.
We have an incredible team of scientists pushing the boundaries of high throughput protein characterization in the lab, and our scientific founders have previously founded companies now publicly traded and worth > $1B.
At Arbor, we're building a search engine to organize all the proteins in the world to discover impactful new technologies. As a software engineer in this early-stage venture-backed startup, you will have considerable latitude to design and build scalable data processing pipelines, and also apply a wide range of tools to leverage large amounts of in-house data.
We have an incredible team of scientists pushing the boundaries of high throughput protein characterization in the lab, and our scientific founders have previously founded companies now publicly traded and worth > $1B.
We're building a search engine to organize all the proteins in the world, to discover and engineer impactful new technologies. As a software engineer in this early-stage venture-backed startup, you will have considerable latitude to design and build scalable data processing pipelines, and also apply a wide range of tools to leverage large amounts of in-house data.
We have an incredible team of scientists pushing the boundaries of high throughput protein characterization in the lab, and our scientific founders have previously founded companies now publicly traded and worth > $1B.
We're building a search engine to organize all the proteins in the world, to discover and engineer impactful new technologies. As a software engineer in this early-stage venture-backed startup, you will have considerable latitude to design and build scalable data processing pipelines, and also apply a wide range of tools to leverage large amounts of in-house data.
We have an incredible team of scientists pushing the boundaries of high throughput protein characterization in the lab, and our scientific founders have previously founded companies now publicly traded and worth > $1B.
We're building a search engine to organize all the proteins in the world, to discover and engineer impactful new technologies. As a software engineer in this early-stage venture-backed startup, you will have considerable latitude to design and build scalable data processing pipelines, and apply a wide range of tools to leverage large amounts of in-house data.
We have an incredible team of scientists pushing the boundaries of high throughput protein characterization in the lab, and our scientific founders have previously founded companies now publicly traded and worth > $1B.
At Arbor, we're unlocking nature’s genetic diversity to create transformative products in human health and sustainability. Our proprietary platform integrates a computational search engine with high-throughput experimental capabilities to enable rapid protein characterization.
As an early software engineer in this venture-backed startup, you will have considerable latitude to design and build data processing pipelines for handling massive amounts of (sequence) data. You will be expected to work closely with our incredible team of scientists as we push the boundaries of discovery together.
At Arbor, we're unlocking nature’s genetic diversity to create transformative products in human health and sustainability. We've built a discovery platform that integrates large scale computational search with high-throughput experiments to enable rapid protein characterization.
As an early software engineer in this venture-backed startup, you will have considerable latitude to innovate new methods for processing and extracting signal from massive amounts of (sequence) data. We make heavy use of Python and Google Cloud, among other technologies. You will be expected to work closely with our incredible team of scientists as we push the boundaries of discovery together.
At Arbor, we are uncovering nature’s inventions on an unprecedented scale. Through our pairing of new computational approaches and high throughput assay technologies, we are exploring the diversity of proteins to discover bioactivities with impactful applications in therapeutics or sustainability.
As an early software engineer in this venture-backed startup, you will have considerable latitude to innovate new methods for processing and extracting signal from massive amounts of (sequence) data. We make heavy use of Python and Google Cloud, among other technologies. You will be expected to work closely with our incredible team of scientists as we push the boundaries of discovery together.
It's an exciting time to join Arbor -- right in the intersection of computer science and biology. We're uncovering nature’s inventions on an unprecedented scale, by pairing new computational approaches with high throughput technologies in the wetlab.
As an early software engineer in this venture-backed startup, you will have considerable latitude to innovate new methods for processing and extracting signal from massive amounts of data. We make heavy use of Python and Google Cloud, among other technologies. You will be expected to work closely with our incredible team of scientists as we push the boundaries of discovery together.
Arbor is a protein discovery company -- we're uncovering nature’s inventions at scale, with novel computational approaches and high throughput technologies in the wetlab.
As an early software engineer in this venture-backed startup, you will have considerable latitude to innovate new methods for processing and extracting signal from massive amounts of data. We make heavy use of python and cloud computing (e.g. Google Cloud), and develop a lot of our stack in-house. You will be expected to work closely with our incredible team of scientists as we push the boundaries of discovery together.
Arbor is a protein discovery company -- we're uncovering nature’s inventions at scale, with novel computational approaches and high throughput technologies in the wetlab.
As an early software engineer in this venture-backed startup, you will have considerable latitude to innovate new methods for processing and extracting signal from massive amounts of data. We make heavy use of python and cloud computing (e.g. Google Cloud), and develop a lot of our stack in-house. You will be expected to work closely with our incredible team of scientists as we push the boundaries of discovery together.
Arbor is a protein discovery company -- we're uncovering nature’s inventions at scale, with novel computational approaches and high throughput technologies in the wetlab.
As an early software engineer in this venture-backed startup, you will have considerable latitude to innovate new methods for processing and extracting signal from massive amounts of data. We make heavy use of python and cloud computing (e.g. Google Cloud), and develop a lot of our stack in-house. You will be expected to work closely with our incredible team of scientists as we push the boundaries of discovery together.
Arbor Biotechnologies is a biodiscovery company that sits at the intersection of computer science and high throughput experimental data collection. With rapidly decreasing DNA sequencing costs, the genomes of many organisms (e.g. bacteria) are being uncovered for the first time. At Arbor, you will be at the cutting edge of biodiscovery, systematically searching through nature’s gene diversity to discover and engineer new protein technologies for improving human health and sustainability.
We're looking for experienced software engineers and top graduate students / post-docs with:
More details: https://hire.withgoogle.com/public/jobs/arborbio/view/P_AAAA...