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Standard BioTools

Biotechnology Research

Standard BioTools delivers leading genomic and proteomic solutions. Discover CyTOF, Hyperion and Biomark technologies for deep biological insights.

Hiring now

1open role

Is Standard BioTools hiring?

Yes. As of November 5, 2026, Standard BioTools has 1 open role on Metaintro. 3 were posted in the last 30 days.

Open roles

Newest first. Pay shown when the posting lists it.

Hiring pattern

How fast Standard BioTools is adding roles, and how they're set up.

New roles each monthRoles first posted in the month

3
0
0
4
1
JulyAugustSeptemberOctoberNovember
November: 1 new role.

How roles are set upShare of open roles

80%
20%
RemoteOn-site
80% of roles are hybrid or remote.

Customers

All 37 companies Standard BioTools names as customers.

Customers hiring now6

Case studies27

  • Yale
  • University of California, San Francisco (UCSF)
  • Marine and Freshwater Research Centre
  • The Francis Crick Institute
  • Beijing Institute of Hepatology, Beijing You An Hospital, Capital Medical University
  • Shanghai Jiao Tong University
  • Indiana University Genetics Biobank
  • University of Zurich
  • University of California, San Francisco
  • Singapore Immunology Network (SIgN)
  • ImaBiotech
  • Cochin Hospital
  • Haukeland University Hospital
  • Scripps Research Institute
  • Ghent University
  • University of Copenhagen
  • Beijing Gencode Diagnostics Laboratory
  • MICORALIS
  • University of Maryland
  • Canadian Center for Vaccinology (CCfV)
  • Stanford Children’s Health
  • European Molecular Biology Laboratory (EMBL)
  • Genome Institute of Singapore
  • Navignostics AG
  • University of North Carolina School of Medicine
  • EMBL-EBI
  • University of Cambridge

Other customers4

  • Hertie Institute for Clinical Brain Research
  • Genome Institute of Singapore, A*STAR
  • University of Louisville
  • 2seventy bio

What their customers say

Quotes from people at Standard BioTools's customers.

“I see the Hyperion Imaging System as a valuable discovery tool that can provide information about which molecules are most important to predict response to therapy. It gives you information that few other tools can provide: the ability to look at 30 different things at once yet maintain the two-dimensional spatial information, giving us the power to discriminate biology beyond a single point measurement.”

David Rimm · MD, PhD · Yale

““It’s mind-blowing, being able to look at two features in the same single cell with minimal time delay,” she said.”

Simone Mayer, PhD · group leader · Hertie Institute for Clinical Brain Research

“This is great for us because it meant we could rely on the results without having to spend the time to go back and test again.”

Leisha McGrath · PhD student · Marine and Freshwater Research Centre

“I definitely appreciate all the support we received during the actual process and study design. It was easy to ask questions, and the training was very helpful. Once we built confidence that our design was solid, it was easy to continue independently.”

Leisha McGrath · PhD student · Marine and Freshwater Research Centre

“The system was very beneficial for us, and the setup was ideal – very straightforward, very easy to follow up and much faster than we had been expecting. So, with all of this, Biomark improved our ability to do this study.”

Leisha McGrath · PhD student · Marine and Freshwater Research Centre
Show 25 more quotes

““We’ve shed some light on what is happening when tumors are being treated with a therapy specifically focusing on KRAS signaling, and how important it is in orchestrating the immune suppressive microenvironment,””

Febe van Maldegem · The Francis Crick Institute

““It was beautiful to see the tumor with the normal tissue surrounding it and the way the cells were organized in the tissue. That was really an eye opener, and so using IMC became the default,””

Febe van Maldegem · The Francis Crick Institute

““It was a real game changer for us because now we could run a whole cohort in one go, instead of manually dragging input files in and out of multiple software. The new approach, once optimized for the cohort, permitted us to run images directly from the Hyperion and get single-cell expression data out in the form of a spreadsheet. That was a big advantage for us,””

Karishma Valand · The Francis Crick Institute

“Imaging Mass Cytometry with CyTOF™ technology is our method of choice for these studies because the limited samples are very valuable. CyTOF allows more than 30 markers in one panel, and we don’t have to worry about color compensation or background autofluorescence issues”

Dr. Dexi Chen, PhD, MD · Beijing Institute of Hepatology, Beijing You An Hospital, Capital Medical University

“Compared to other high-multiplex technologies, IMC excels at providing both spatial information and high multiplexity. It allows us to see spatial context more intuitively and enables accurate detection, treatment and prognosis of the disease by analyzing the immune system in the peripheral blood.”

Xianting Ding, PhD · professor in the School of Biomedical Engineering and deputy director of the Institute for Personalized Medicine · Shanghai Jiao Tong University

“Using [the Standard BioTools] microfluidics workflow for DNA fingerprinting is allowing us to fulfill what these patients wanted, which is sharing their samples for the advancement of medical research.”

Tae-Hwi (Linus) Schwantes-An · Assistant Research Professor · Indiana University Genetics Biobank

“DNA fingerprinting allows us to detect events that might otherwise lead to erroneous results. It helps us spot potential issues before we send samples to the requesting researcher.”

Tae-Hwi (Linus) Schwantes-An · Assistant Research Professor · Indiana University Genetics Biobank

“Using DNA fingerprinting to assess samples prior to accession and distribution can save time and resources. Researchers who receive samples from the biorepository need to have confidence that the samples they receive have been correctly identified from the sample source. Additionally, researchers need to have confidence that the samples will yield interpretable data from their planned downstream analyses.”

Kelly Nudelman · Assistant Research Professor · Indiana University Genetics Biobank

“What makes the [Standard BioTools] microfluidics-based workflow unique is that it is high-throughput at a cost that is scalable to our process. It saves our customers and our lab time and resources.”

Tae-Hwi (Linus) Schwantes-An · Assistant Research Professor · Indiana University Genetics Biobank

“Combining this data from the detection of chemokines, or of RNA in general, with detecting cell types in the tissues provides so much information,” Schulz says. “I think the field is wide open to take any target you want and investigate it. That’s the beauty and strength of this approach. You’re not dependent on the antibody and the antibody being available. Theoretically, it’s unlimited – you can detect what you want.”

Daniel Schulz, PhD · University of Zurich

“From our experience, the signals are fairly stable across measurements for TMAs because you have all your samples that have been processed in one batch and stained with the same antibodies in the exact same concentrations for the exact same time. So that really minimizes your experimental variation.”

Daniel Schulz, PhD · University of Zurich

“The Human Cell Atlas and CZ Biohub focus predominantly on single RNA-seq,” he said, “but looking at the epigenetic state using the methods we’ve developed in collaboration with [Standard BioTools], and other similar approaches, will be complementary and useful.”

Ansuman Satpathy · MD, PhD · Stanford University

“The key is that Script Builder software is easy to use,” he said. “You can design things in silico using computer modeling and then easily implement them in Script Builder.”

Ansuman Satpathy · MD, PhD · Stanford University

“CyTOF technology has a really unique niche for interrogating the tumor microenvironment,” said Newell. “It has relatively high throughput and high dimensionality, allowing us to open up a lot of doors.”

Evan Newell · PhD · Singapore Immunology Network (SIgN)

“A very important advantage to us was the ability to automate our analysis with Maxpar Pathsetter software. This is significant time savings and generates data that is much more reproducible and less impacted by the subjectivity that occurs with manual analysis.”

Benjamin Terrier · MD, PhD · Cochin Hospital

“We used the Maxpar Direct Immune Profiling Assay because we wanted a global approach to analyze the different immune cell types from both the innate and adaptive immune response. Most previous works on immune perturbations in autoimmune disease only analyzed the B cell compartment, the T cell compartment, or the regulatory T cells. A more comprehensive view is complicated using conventional flow cytometry, involving many different tubes to analyze one sample from a single patient. So, we wanted to use a more global approach facilitated by mass cytometry.”

Benjamin Terrier · MD, PhD · Cochin Hospital

“Mass cytometry is not just equal to the methods they’ve been using, it’s actually much, much better.”

Sonia Gavasso, PhD · Haukeland University Hospital

“Mass cytometry has amazing potential. I don’t want to use the word ‘revolutionize’, but it’s close to it. This is the first time we can clearly monitor the whole immune system for a really broad view of what’s going on and what we should do.”

Sonia Gavasso, PhD · Haukeland University Hospital

“It opens new areas for investigation. How would we have ever come to NK cells mimicking the immunosuppressive properties of decidual NK cells so essential for successful pregnancy, or to trogocytosis and CD9?”

Wendy Fantl · PhD · Stanford University

“CyTOF is very powerful in leading you toward undiscovered secrets and mechanisms that you wouldn’t have seen otherwise.”

Wendy Fantl · PhD · Stanford University

“CyTOF technology characterizes intact single cells in suspension based on protein co-expression patterns – about 60 parameters per cell – and measures hundreds of thousands to millions of cells. Its ability to work with intact single cells empowers us to discover previously unrecognized cell populations in multiparameter space,”

Wendy Fantl · PhD · Stanford University

““We have been impressed by the quality of the data generated by C1 with a depth of interrogation that was on average beyond 10,000 genes per cell,””

Luc Teyton · MD, PhD · Scripps Research Institute

“Perhaps other diseases like leukemias and myelomas can be affected. Essentially, we would like to understand how general this phenomenon is that we found.”

Zinaida Good, PhD · Stanford University

“We want to understand if this phenomenon is only related to this one type of therapy that we studied, or if it’s happening in other CAR T cell therapies. Is it only relevant to lymphoma?”

Zinaida Good, PhD · Stanford University

“Right now, the T regulatory cell fraction is variable, but if we remove these cells, therapy outcomes might actually be more consistent even though the dose perhaps could be slightly less.”

Zinaida Good · Stanford University

AI launches and partners

What Standard BioTools has launched and who it works with on AI.

  • Launchilastikilastik software uses machine learning to train custom workflows for cell segmentation and classification.

Skills they ask for

Most frequent across open postings.

Tech stack

Analytics
Google Tag Manager
CDN
unpkg
Hosting
GitHub Pages
Libraries
Bootstrap
Swiper
Font Awesome
Security
OneTrust
CMS
WordPress

Company facts

Headquarters
50 Milk Street, 10th Floor Boston, MA 02109
Employees
501–1,000
Founded
1999
Industry
Biotechnology Research
Sector (NAICS)
Manufacturing
Ticker
LAB
Peer
CSL
Social
LinkedIn · X · Facebook

Sources: Employees from Wikipedia (CC BY-SA 4.0) · Founded from Wikidata

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Questions about Standard BioTools

Is Standard BioTools hiring?
Yes. As of November 5, 2026, Standard BioTools has 1 open role on Metaintro. 3 were posted in the last 30 days. The most are in Sales (1).
Does Standard BioTools offer remote or hybrid work?
0% of open roles are hybrid and 80% are remote.
Who are Standard BioTools's customers?
Standard BioTools names 37 customers, including Stanford, University of Virginia, Weill Cornell Medical College, Vanderbilt University, and Stanford University.
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