Six Figure Work

Scientist, Assay & Automation Development

Plasmidsaurus

Company websiteplasmidsaurus.com (Plasmidsaurus, opens in new tab)

Base salary $170K  to $185K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

About Plasmidsaurus

Plasmidsaurus is on a mission to accelerate new cures and promote a healthier planet by unlocking a new level of productivity for scientists. Our sequencing services are used daily by thousands of innovators, including Nobel laureates, Fortune 100 pharma, and over 70,000 scientists.

We began by revolutionizing plasmid sequencing, making it exponentially cheaper and faster, with innovative sequencing technologies and a global network of laboratories that turn samples into answers in hours, not weeks.

Now we are expanding that same disruptive model across all of genomics. With the launch of our new RNA-seq service, we are taking a bold step toward our vision to sequence everything, providing scientists everywhere with faster, simpler, and more affordable access to the data that powers discovery.

Every team member at Plasmidsaurus plays a crucial role in driving the future of biotech research. Together, we are building the world’s most efficient sequencing engine that operates overnight, scales globally, and helps scientists make breakthroughs faster than ever before.


About the Role

We are now looking to combine our deep experimental expertise with robotics and emerging AI tools to rethink how biology experiments are performed and push the boundaries of knowledge generation. You will be developing new scientific capabilities to explore more questions, test more hypotheses, and generate knowledge at a speed and scale that hasn’t been possible before.

This is an opportunity for a scientist who loves both discovery and building. You’ll work across scientific disciplines, develop methods that don’t yet exist in our labs, and see your work move quickly from an idea to a functioning system, all while being laser-focused on answering questions that actually matter. This is not a role where you’ll spend your time repeating established protocols - you’ll help create entirely new ways to do science.


You are someone who:

  • Enjoys high agency and high ownership work

  • Is excited to reshape how experimental science is performed to accelerate discovery of the next generation of medicines

  • Applies first-principles thinking and understands the science behind methods, not just how to follow protocols

  • Understands the opportunities and challenges in scaling experiments

  • Is a life-long learner who learns quickly across disciplines

  • Is excited to work in a tight-knit fast-paced environment with a motivated team

  • Values clear communication and helping others learn new skills


What you’ll be doing

Develop New Scientific Capabilities

  • Design, develop, and validate experimental methods that expand the range and complexity of scientific questions we can investigate

  • Establish new capabilities such as protein expression and purification, ribosome display, mRNA display, cDNA display, and other high-throughput molecular biology techniques

  • Adapt methods across disciplines and develop new approaches when established protocols fall short

Drive Experimental Discovery

  • Lead research projects from hypothesis and experimental design through execution, data analysis, and iteration

  • Use data, computational tools, and LLMs to accelerate experimental design, troubleshooting, and analysis

  • Collaborate with scientists and engineers to integrate new capabilities into increasingly sophisticated automated systems

Accelerate Science Through Automation

  • Translate complex, manual wet-lab protocols into reliable, reproducible robotic workflows

  • Build and optimize experiments for our fleet of liquid handling robots, identifying and removing the limits that prevent experiments from being automated

  • Support our research team in the adoption of automated protocols

What success looks like

  • Within 30 days: align with the team on the capabilities to build, and deliver at least one new robotics-accelerated capability (e.g. protein expression and purification, or a high-throughput display method)

  • Within 3 months: independently lead an end-to-end robotics-accelerated research project, and establish automated workflows reliable enough to become the team’s preferred approach

  • Within 6 months: expand the robot fleet’s capabilities by closing gaps in methods, hardware, and automation; replace manual protocols with automated ones; build a foundation of reusable methods for more complex experiments

Qualifications:

  • PhD in molecular biology, biochemistry, bioengineering, or a closely related wet-lab discipline

  • Strong hands-on experience in molecular biology techniques, including PCR, cell culture, and sequencing

  • Experience developing, troubleshooting, and optimizing biological workflows

  • Practical expertise in protein expression

  • Experience with high-throughput display technologies (ribosome, mRNA, cDNA, or phage display)

  • Hands-on experience scaling workflows and improving throughput, reliability, and reproducibility through robotics

  • Experience using LLMs and computational tools in scientific work

  • Data analysis skills to evaluate experimental results and guide decisions

  • Track record of developing, adapting, or implementing new methods to solve challenging research problems

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will thrive with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, please let us know at [email protected].

Source: Plasmidsaurus on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($170,000) is above 71% of the 317 Science & Research roles in California listed on this site; 4 others list the same floor. Their median floor is $143,200; the middle half runs from $120,000 to $172,100.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Plasmidsaurus roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Plasmidsaurus roles with the nearest advertised base floor
RolePublished base
Scientist, Assay & Automation Development (this listing)$170K - $185K
Senior IT Engineer$170K - $195K
Senior Product Manager | Microbial Sequencing$175K - $200K
Senior Talent Partner | Technical$175K - $200K
Product Manager | Software$175K - $235K
Lab Automation Software Engineer$175K - $235K
Head of Logistics$155K - $170K

Same $100K to $400K scale as every card. All Plasmidsaurus roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-11-04
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 170,000 – 185,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.