Platform Engineer

1 month ago

Emeryville, United States Octant Bio Full time

COMPANY

Octant is a well-backed team of experienced scientists and entrepreneurs at the frontiers of biology, chemistry, and computation. We are a small molecule therapeutics company scaling drug discovery to navigate the complexity of human diseases using an integrated platform combining synthetic biology, genomics, computation and high-throughput chemistry.

Octant is an equal opportunity company that values diversity, equity, and inclusion. We welcome applicants of all backgrounds. Were committed to fostering an inclusive and supportive work environment for everyone.

JOB DESCRIPTION

Platform engineers at Octant build and maintain an efficient and reproducible drug discovery platform. A Platform Engineer understands the nuances of each capability enabled by the platform, including automation, HT biology, HT chemistry, data science, and software, and uses this knowledge to build and implement the right systems, processes, and metrics to push our drug programs forward. This includes, but is not limited to, designing and implementing new biological and chemical workflows, architecting scale, streamlining existing workflows, troubleshooting issues, building and tracking metrics for success, finding and implementing creative and simple solutions quickly, and more. As a Platform Engineer, you will:

  • Work at the interface of automation, biology, chemistry, data science, and software engineering to build and implement robust workflows and processes
  • Utilize soft-power to manage complex teams and stakeholders to build and manage impactful internal processes and capabilities
  • Manage vendor relationships (Ginkgo, Beckman Coulter, etc.) for all automation equipment, especially fully integrated systems
  • Help to determine when we need to develop new/improved capabilities or technologies to fulfill our company priorities
  • Determine what instruments to purchase, implement those instruments, and ensure they function well
  • Mentor early-career automation engineers and RAs

As a member of the Octant team, youll contribute to Octants scientific strategy by designing, executing, and interpreting results for significant technology projects. You should thrive on getting things done, are eager to troubleshoot random tasks that arise in startups, and can navigate the uncertainty of an ever-changing and fast-paced environment.

THIS JOB MIGHT BE GREAT FOR YOU IF YOU:

  • have a PhD in chemistry (preferred), biology, or related discipline with 0-5 years of industry experience
  • are engineering and process oriented and have worked with plate-based workflows
  • are familiar and comfortable with data science (R, Python) and basic programming
  • arent afraid to dive in to new technical areas, get your hands dirty, and build and deliver cross-functional products/processes in unfamiliar territories
  • are comfortable working with and around instrumentation and have experience working with LC/MS, gloveboxes, Beckman Access System, Echos, Bravos, iDOT, plate readers, etc.
  • enjoy working across multiple functions to understand the needs of individuals, teams, or the company to formulate simple and efficient solutions
  • have a demonstrated record of working on and leading impactful projects
  • thrive in a fast-paced, collaborative, team-oriented startup environment
  • have an all hands on deck mentality, and are excited about and committed to building a robust and useful platform to build meaningful medicines
  • have built impactful stuff (capabilities, workflows, internal products, processes, etc.) at startups

We expect candidates will have diverse backgrounds given that the role requires knowledge and comfort across several technical areas, and understand that not one single candidate will have all of the experience listed above. Were open to and expecting to train, and above all expect a successful candidate to come in ready to dive in, learn, and work hard to get stuff done. Success in the position is determined by the impact made on our drug programs - i.e., are we building the right solutions at the right speed at the right time?

In your application, please describe a piece of work that youre proud of that highlights your strengths. Feel free to link publications, articles, blog posts, etc. If there is nothing public, please summarize that work in a couple of paragraphs. We'd love to also hear about things you've been proud to build or lead outside of science and engineering.

The expected annual base salary is in the range of $120,000 to $150,000 depending on skills and experience. We offer health benefits (medical, dental, vision), equity, and 401(k) matching.

OCTANTS NAVIGATOR PLATFORM:

Octants Platform, The Navigator, is an expanding set of drug discovery and development capabilities using scaled approaches that empirically explore and engineer biology and chemistry. The biology and chemistry platforms work in a virtuous cycle with each other, and are enabled by automation and compute:

  • Biology Platform Cellular Intelligence Octant's biology platform uses high-throughput approaches to design, build, and test human cell models that interrogate cellular and biophysical mechanisms implicated in disease. We use Cellular Intelligence to deeply explore how drugs and genetics impact those mechanisms that might be at play and correlate them with clinical outcomes. This enables us to identify druggable mechanisms and develop target candidate profiles. These assays then also serve as our screening infrastructure to discover molecules that achieve our desired target profiles.
  • Chemistry Platform HT-SAR Octants chemistry platform uses high-throughput and nano-scale synthetic chemistry to identify and iteratively improve chemical starting points that interact with the cellular and biophysical mechanisms implicated in our target disease pathways. HT-SAR enables us to drive suboptimal hits towards molecules that meet our candidate profiles, engineering them into high-quality lead molecules and ultimately drugs.

We bring both sides of this platform together through custom software, automation and data science to drive speed, scale, and learnings in order to drive week-to-week progress on our drug programs.

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