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- Tasks: Conduct a high-impact architectural review of our ECG arrhythmia detection pipeline.
- Company: Leading health tech firm focused on innovative cardiac solutions.
- Benefits: Flexible hours, competitive pay, and the chance to influence healthcare technology.
- Why this job: Make a real difference in cardiac health with your expertise in ECG algorithms.
- Qualifications: Proven experience in ECG systems and strong architectural thinking required.
- Other info: Short-term contract with potential for impactful recommendations.
The predicted salary is between 60000 - 84000 £ per year.
We are seeking a highly experienced ECG algorithm expert to perform a focused architectural review of our existing arrhythmia detection pipeline. This is not a model-training role.
We are specifically looking for someone who has:
- Designed or significantly contributed to commercial ECG / arrhythmia detection systems
- Deep experience with QRS detection, rhythm classification, signal quality handling
- Real-world experience troubleshooting performance instability
- Strong architectural thinking beyond pure ML
The scope is a short, high-impact review (10 hours max) to identify where our system design may be fragile and recommend corrective architectural adjustments.
We have a multi-lead ECG wearable device (12-lead, chest-based, includes accelerometer). Our current pipeline includes:
- Bandpass preprocessing
- Basic normalization
- Segmentation
- QRS detection (Pan–Tompkins variant)
- Traditional VF/AF filters
- CNN-based beat classification
- Shutdown logic based on noise detection
We have observed:
- High false positives for AF in non-AF records
- Performance sensitivity to preprocessing changes
- Excessive "shutdown" durations in noisy segments
- Beat-by-beat instability during ambulatory motion
- Inconsistent behavior between chunked vs full-record processing
We suspect the issue is architectural (signal quality handling, state management, gating logic), not simply model performance.
We need a senior expert to:
- Review our high-level architecture (we will provide diagrams + summary)
- Identify structural weaknesses in:
- Signal quality handling
- Noise detection & gating
- Shutdown logic
- Beat-level vs window-level decision strategy
- State management across chunks
- Advise on:
- Whether our architecture is fundamentally sound
- What should move into preprocessing
- Whether we should shift away from beat-by-beat logic
- Best-practice architectural patterns used in commercial systems
- Provide:
- A concise written assessment
- Clear, prioritized recommendations
- Optional sketch of improved architecture
Important - We are not looking for code rewrites; this is a strategic algorithm review.
Ideal Candidate:
We are specifically looking for someone who has:
- Expertise in ECG signal processing
- Experience with commercial arrhythmia detection systems
- Experience with FDA-cleared or CE-marked cardiac software (strongly preferred)
- Deep understanding of:
- Pan-Tompkins and adaptive QRS detection
- Signal Quality Index (SQI) frameworks
- Beat vs rhythm-level classification tradeoffs
- Ambulatory ECG noise characteristics
- Accelerometer-assisted artifact rejection
- Regulatory implications of algorithm design
Experience at companies such as: GE Healthcare, Philips, iRhythm, ZOLL, BioTelemetry, AliveCor, etc. is a strong plus.
Deliverable Within 10 hours:
- Written technical critique (2-4 pages)
- Identified architectural failure modes
- Recommended corrective direction
- Suggested short-term vs long-term strategy
Important: 60-minute technical call to discuss findings.
This role is for experienced ECG algorithm professionals only.
Please include:
- A brief summary of your direct ECG algorithm development experience
- Whether you have worked on an FDA-cleared cardiac system
- One example of troubleshooting algorithm instability in noisy ambulatory ECG
Applications without relevant ECG experience will not be considered. Contract duration of less than 1 month, with 30 hours per week.
Mandatory skills: Python, Software Architecture & Design, Machine Learning, Algorithm Development, ECG, Digital Signal Processing.
Senior ECG Algorithm Architect employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ECG Algorithm Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the ECG and algorithm development space. Attend industry meetups or webinars, and don’t be shy about sharing your expertise. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your previous work in ECG systems. Highlight your contributions to arrhythmia detection and any architectural reviews you've conducted. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Get ready for those interviews! Brush up on your technical knowledge, especially around QRS detection and signal quality handling. Be prepared to discuss your troubleshooting experiences and how you’ve tackled performance instability in the past.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Make sure to tailor your application to highlight your relevant experience with FDA-cleared systems and your architectural thinking. Let’s get you that dream job!
We think you need these skills to ace Senior ECG Algorithm Architect
Some tips for your application 🫡
Show Off Your ECG Expertise: Make sure to highlight your direct experience with ECG algorithm development in your application. We want to see how you've contributed to commercial systems and any specific projects that showcase your skills in arrhythmia detection.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so summarise your relevant experience and insights without unnecessary fluff. Remember, we’re looking for a focused architectural review, so your application should reflect that.
Address the Key Points: Don’t forget to touch on the specific areas we mentioned in the job description, like signal quality handling and noise detection. This shows us you understand the challenges we face and are ready to tackle them head-on.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at FreelanceJobs
✨Know Your ECG Basics
Before the interview, brush up on your knowledge of ECG signal processing and arrhythmia detection systems. Be ready to discuss specific algorithms like Pan-Tompkins and how they apply to real-world scenarios. This will show that you’re not just familiar with theory but can also apply it practically.
✨Prepare for Technical Questions
Expect in-depth technical questions about architectural weaknesses and troubleshooting performance instability. Prepare examples from your past experience where you identified and resolved similar issues. This will demonstrate your problem-solving skills and architectural thinking.
✨Familiarise Yourself with Their Pipeline
Take time to understand the existing pipeline mentioned in the job description. Think critically about the potential fragility in their design, especially around signal quality handling and noise detection. Being able to discuss these points will show your proactive approach and deep understanding of the role.
✨Have a Clear Assessment Strategy
Be ready to outline how you would approach the architectural review within the 10-hour timeframe. Think about how you would prioritise recommendations and what best-practice architectural patterns you might suggest. This will highlight your strategic thinking and ability to deliver concise, actionable insights.
