Automation Engineer
Science is an early stage company developing technologies for a range of serious unmet medical needs. We take difficult technical risks, confident that with a clear understanding of the problem and strong modern tools, more progress is possible than might be obvious at first. Regardless of role or team, the two factors we weigh most are evidence of exceptional ability and the addition of positive energy to the group. In an early stage, action-first environment, the ability to independently orient yourself to the problems that need solving and then follow through is essential.
We are looking for a Biology Lab Automation Engineer to design and build cutting-edge automated workflows for biology assays and processes. Biology at Science spans high-throughput protein discovery, preclinical testing, cell engineering, and a number of other high-impact problems. A core principle here is to deploy automation to abstract away the tedious and error-prone parts of wet lab work wherever possible. You'll work closely with scientists and engineers to make scientific progress faster, safer, and more reliable, using our large collection of advanced lab equipment to enable high-bandwidth, low-touch automation.
This role lives on the full spectrum from prototype to production. We want someone who can stand up a rough proof of concept in a day to unblock an experiment, then know when and how to turn it into a robust, maintainable system that others can depend on.
Role & Responsibilities:
Maintain and develop new features on our biology lab information management system, working towards making it AI-native
Help maintain and develop , our open source lab automation software
Work with Scientists to automate validated experimental workflows on liquid handlers
Design and build biology automation workcells, from quick prototypes to production-grade systems
Key qualifications:
Strong software fundamentals (Python, TypeScript)
Experience integrating laboratory hardware and instruments
Familiarity with core molecular biology workflows (PCR, RNA/DNA extraction)
A track record of both contributing independently and leading or mentoring others
Ability to pick up unfamiliar domains and tools quickly as problems change
Strong collaboration and communication skills
Results-oriented, action-first outlook
Preferred qualifications:
Experience with mammalian cell culture automation
Comfort working collaboratively in large codebases
Familiarity with databases and data handling
Experience with common lab orchestration softwares
Science is required under California law to include a reasonable estimate of the compensation range for this role. We determine your level based on your interview performance and make an offer based on the indicated salary band. The base salary range for this full-time position is $130,000 - $175,000 annually + equity + benefits. Within the range, individual pay is determined by several factors, including job-related skills, experience, and relevant education or training. Please keep in mind that the equity portion of the offer is not included in these numbers.
Benefits:
At Science, our benefits are in place to support the whole you:
Competitive salary and equity
Medical, dental, vision and life insurance
Flexible vacation and company-paid holidays
Healthy meals and snacks provided for non-remote employees
Paid parental, jury duty, bereavement, family care and medical leave
Dependent Care Flexible Spending Account, subsidized by Science
Flexible Spending Account
401(k)
Science Corporation is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do their best work.
We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Science will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local laws.