echoloc
Get started
echoloc/ Companies/ Element Biosciences
Company profile

Element Biosciences Tech Stack

Next-generation sequencing instruments and multiomics assay systems

Biotechnology Research San Diego, California 201–500 employees Founded 2017 Privately Held
elementbiosciences.com LinkedIn

Element Biosciences builds sequencing instruments end to end, and its stack shows it: FPGA, Embedded Linux, C++ and Zemax optics sit alongside PyTorch, Seurat and Scanpy for genomic data analysis. ISO 13485 and IEC 62304 plus a global IVD regulatory strategy signal a push into regulated clinical markets, while pain points around install base growth, channel sales and distributors point to a commercial scale-up phase.

Tech Stack 40 technologies

Core StackMATLAB Python C++ Java Salesforce Jira PyTorch scikit-learn Pandas AWS React Go Temporal NetSuite SolidWorks Docker Tableau RingCentral Zemax SDS-PAGE Embedded Linux FPGA MadCap Flare Azure GCP ISO 13485 IEC 62304 Salesforce Flow Seurat Scanpy+10 more
AdoptingCursor

What Element Biosciences Is BuildingChallenges and projects from their job posts

◆Challenges

  • Scaling the installed instrument base
  • Scaling genomics manufacturing processes
  • Growing channel sales and distributor relationships
  • Master data accuracy, lifecycle and single source of truth
  • Speed to market
  • EMC, RF and safety compliance

▲Active Projects

  • Novel surface chemistry for NGS and multiomics
  • Global regulatory strategy for IVD and NGS products
  • Product extensions and new product introductions
  • System implementations and integrations
  • Service operations demand intake and portfolio management
  • Supplier scorecard development

Hiring Activity

Accelerating20 roles · 15 in 30d

Department

Engineering
6
Research
4
Support
4
Legal
2
Data
1
Manufacturing
1
Ops
1
Product
1

Seniority

Senior
6
Mid
5
Director
3
Lead
3
Staff
3
Junior
1
Manager
1
Companies like Element Biosciences

100+ Biotechnology Research companies running Python and MATLAB

See the full list

About Element Biosciences

Element Biosciences is a privately held life science company founded in 2017 and headquartered in San Diego, California. It develops next-generation sequencing systems, spanning instrument hardware, surface chemistry, software and data analysis for research customers. The company employs 201–500 people and is hiring across engineering, research, support and legal, with roles in the United States, France and Italy. Business systems include Salesforce, NetSuite and Tableau, with cloud workloads on AWS, Azure and GCP.

HeadquartersSan Diego, California
Company Size201–500 employees
Founded2017
Hiring MarketsFrance, United States, Italy

Frequently Asked Questions

What tech stack does Element Biosciences use?

Element Biosciences uses Python, C++, MATLAB, Go and React, FPGA and Embedded Linux for instruments, PyTorch and scikit-learn for ML, Seurat and Scanpy for genomics, plus AWS, Azure, GCP, Salesforce and NetSuite.

Where is Element Biosciences hiring?

Element Biosciences is hiring in the United States, France and Italy, with hiring accelerating across engineering, research, support and legal functions.

What is Element Biosciences working on?

Current work includes novel surface chemistry for sequencing and multiomics, new product introductions, a global regulatory strategy for IVD and NGS products, and master data readiness for launches.

Similar Companies in Biotechnology Research

Other companies in the same industry, closest in size

U
Ultima Genomics
Biotechnology Research
F
Freenome
Biotechnology Research
X
X-Chem, Inc.
Biotechnology Research
C
Calico Life Sciences
Biotechnology Research

How this profile is built

Element Biosciences's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.