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Merge Labs

Research Platform Scientist

Posted Yesterday
Be an Early Applicant
In-Office or Remote
6 Locations
165K-260K Annually
Senior level
In-Office or Remote
6 Locations
165K-260K Annually
Senior level
The Research Platform Scientist will build high-efficiency experimental pipelines, collaborating with scientists and engineers to enhance throughput in molecular biology efforts.
The summary above was generated by AI

Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability, agency and experience. We’re pursuing this goal by developing fundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and accessible for anyone to use.

About the team

Merge is tackling some of the most audacious problems in molecular engineering, synthetic biology and neuroscience. Our Research Platform Team builds the experimental capabilities needed to solve these problems with very high speed and rigor. The instruments and pipelines the team builds accelerate molecular assembly, protein expression, mammalian cell culture, advanced microscopy, sequencing, as well as some very unusual custom methods. The team collaborates with program teams to establish and streamline these capabilities, automate wherever it makes sense to do so, and integrate with our data science and machine learning pipelines. We come up with creative approaches to greatly increase throughput and continuously innovate.

About the role

As a Platform Scientist, you will build high-efficiency and high-throughput experimental pipelines to enable research programs to move as quickly as possible. You will collaborate closely with program leads, project scientists, data scientists and engineers. You will lead and perform work as an individual and recruit additional team members as needed.

In this role, you will:

  • Partner with program leads and scientists to understand key experimental needs and workflows.

  • Establish processes to enable high-throughput and/or high-efficiency experiments, including reagent production and readouts.

  • Scope, acquire, build, program and validate instruments to support experimental workflows.

  • Own the quality, reliability, and integrity of data produced by automated pipelines, including defining and integrating appropriate QC checkpoints.

  • Collaborate with data science/ML engineers to integrate metadata tracking, computational design, and analysis into experimental pipelines.

  • Collaborate with electrical, mechanical and software engineers to build custom setups.

  • Conceive, design and validate ideas for how to increase experimental throughput.

  • Serve as an integral member of the scientific team and contribute your insights to project design, execution and analysis.

You might thrive in this role if you:

  • Have a PhD in molecular biology, bioengineering, biophysics or similar field, or have equivalent experience leading research projects end-to-end.

  • Have developed high throughput experimental pipelines involving molecular assembly, cell culture, next-generation sequencing and/or protein engineering.

  • Love getting your hands dirty with equipment setup, code writing, biological experiments and data analysis as needed.

  • Love learning new science and developing new capabilities.

  • Have worked in a fast-paced biotech/techbio, ideally startup, environment and loved it.

  • Have high agency to initiate and drive efforts, constantly ideate and look to make improvements.

  • Have strong communication skills and enjoy collaborating with researchers to help them accelerate their projects.

  • Have come up with creative or unexpected solutions to tricky problems.

If you're excited about this role but don't meet every qualification, please apply. As we build, we're hiring for complementary strengths to form a high-impact team.
Merge Labs does not discriminate on the basis of race, color, religion, national origin, age, sex, sexual orientation, gender, gender identity, gender expression, marital status, physical or mental disability, medical condition, genetic information, family status, ancestry, citizenship, U.S. military (state and federal) and veteran status, or any other legally protected status. It is our intention that all applicants be given equal opportunity and that selection decisions are based on job related factors. We are an equal opportunity employer.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected].

Top Skills

Automated Pipelines
Biological Intelligence
Brain-Computer Interfaces
Data Science
High-Throughput Experimental Pipelines
Machine Learning
Mammalian Cell Culture
Microscopy
Molecular Engineering
Neuroscience
Protein Expression
Sequencing
Synthetic Biology

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