Is Oxford Nanopore Technologies hiring bioinformaticians?

Oxford Nanopore Technologies currently has 0 open positions in bioinformatics and computational biology. Visit our Oxford Nanopore Technologies careers page to see all available roles.

What tech stack does Oxford Nanopore Technologies use?

Oxford Nanopore Technologies uses technologies including Python, C++, Rust, R and tools like .

Where is Oxford Nanopore Technologies headquartered?

Oxford Nanopore Technologies is headquartered in Oxford, UK (US: Cambridge, MA & NYC). The company has 1,200+ employees and was founded in 2005.

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Oxford Nanopore Technologies

Oxford Nanopore Technologies

Q: What is the interview process at Oxford Nanopore Technologies?

Recruiter Screen. Hiring Manager Interview. Technical Assessment.

The Only Sensing Platform

Oxford, UK (US: Cambridge, MA & NYC)

1,200+

View Open Jobs Visit Website →

About Oxford Nanopore Technologies

Industry: Genomics

Founded: 2005

Founders: Hagan Bayley, Gordon Sanghera

Status: Public (LSE: ONT)

Funding & Growth

Total Raised: $1B+

Valuation: $3B+ market cap

Stage: Public

Key Investors:

IP Group Illumina (former) GV

✓ Pros

• Revolutionary nanopore technology
• Real-time sequencing innovation
• Portable/field sequencing leader
• Rapid growth and innovation
• Cutting-edge ML/basecalling

✗ Cons

• UK headquarters (timezone)
• Smaller US presence
• Competitive with Illumina/PacBio
• Stock volatility

Open Positions (0)

No open positions right now

Check back later or visit their careers page

Visit Careers Page →

Hiring Signals

Open roles from our DB joined with public DOL H1B LCA filings (FY2026 Q1, Oct–Dec 2025).

ℹ️

Salary & hiring signal, not a forecast. Use these figures as a reference for recent compensation bands and H1B-sponsorship activity at Oxford Nanopore Technologies — they don't predict future H1B willingness or guarantee similar wages on new offers.

Scope: H1B LCA filings cover all roles at Oxford Nanopore Technologies (engineering, science, IT, etc.) — not bioinformatics-only. At biotech & pharma companies the mix skews toward R&D and computational roles, but treat the wage distribution as the company's overall H1B band rather than a strict comp-bio benchmark.

Open Roles (Live)

No public openings right now in our index. Could mean a hiring freeze, a sourcing-only phase, or simply that current roles aren't on the channels we aggregate — check the H1B and trial signals below for additional context.

No H1B LCA data available for Oxford Nanopore Technologies in Q1 2026 (may not have filed petitions, or filings didn't match bioinformatics SOC codes).

Quarter-over-quarter trend

Historical H1B trend chart coming — backfilling Q2/Q3/Q4 2025 LCA data.

Clinical-trial portfolio

No primary trial sponsorship data for Oxford Nanopore Technologies (likely a diagnostics or platform company rather than a trial sponsor).

Sources: DOL OFLC LCA Disclosure Data (public), ClinicalTrials.gov-derived sponsor analytics powered by TheraRadar, live job listings from this site.

Salary Ranges by Level

Too few Oxford Nanopore Technologies postings on CompBioJobs disclose pay to show reliable salary figures yet.

Interview Process

⚠️

Disclaimer: Interview processes are approximate and may vary by role, level, team, and time. This information is based on public reports and may be outdated.

Interview processes change frequently — always verify with current candidates or recruiters.

Recruiter Screen

Hiring Manager Interview

Technical Assessment

Panel Interview

Final Round

📚 Verify & Prepare

Get detailed interview experiences from people who actually interviewed:

G Glassdoor → L Levels.fyi → in LinkedIn → R Reddit →

💡 Interview Tips

• Practice data structures and algorithms on LeetCode/HackerRank
• Study system design concepts for senior roles
• Research Oxford Nanopore Technologies's products and tech stack
• Prepare behavioral questions using the STAR method

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Technology Stack

languages

Python C++ Rust R

bioinformatics

Guppy Dorado Medaka MinKNOW EPI2ME

cloud

AWS GCP

data

PostgreSQL Custom ML pipelines