AI/ML Engineer for Cardiac Analytics

BCforward United State
Remote
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AI Summary

BCforward seeks an experienced AI/ML Engineer to analyze complex healthcare datasets and generate actionable insights for cardiac care. The ideal candidate will have a strong background in AI technologies, machine learning, and deep learning. They will work closely with healthcare stakeholders to align technical analysis with medical objectives.

Key Highlights
Analyze diverse ECG datasets and cardiac-related healthcare data
Apply AI technologies, machine learning, and statistical methods to extract meaningful clinical insights
Collaborate closely with healthcare and clinical stakeholders
Key Responsibilities
Analyze diverse ECG datasets and cardiac-related healthcare data
Apply AI technologies, machine learning, and statistical methods to extract meaningful clinical insights
Collaborate closely with healthcare and clinical stakeholders to align technical analysis with medical objectives
Communicate findings clearly through reports, presentations, and visualizations for both technical and non-technical audiences
Technical Skills Required
Python Git version control Machine learning Deep learning Statistical methods
Benefits & Perks
100% remote work environment
Opportunity to contribute to impactful cardiac care innovation
Collaboration with cross-functional healthcare and AI experts
Nice to Have
Experience working on healthcare research projects
Background in diagnostics, real-world evidence (RWE), or clinical trials
Familiarity with regulatory or clinical data standards

Job Description


BCforward is seeking an AI/Engineer/Developer to work remote

AI Developer / AI Engineer (Healthcare – ECG & Cardiac Analytics)

Location: 100% Remote (EST hours preferred)

Contract Duration: 6 months (with potential extension)

About the Role

We are seeking an experienced AI Developer/Engineer to analyze complex healthcare datasets from pharmaceutical and clinical partners to generate actionable insights that advance cardiac care and improve treatment outcomes.

Key Responsibilities

  • Analyze diverse ECG datasets and cardiac-related healthcare data
  • Apply AI technologies, machine learning, deep learning, and statistical methods to extract meaningful clinical insights
  • Develop, validate, and optimize predictive and analytical models
  • Collaborate closely with healthcare and clinical stakeholders to align technical analysis with medical objectives
  • Communicate findings clearly through reports, presentations, and visualizations for both technical and non-technical audiences
  • Ensure all analyses meet high standards of accuracy, reproducibility, consistency, and scientific rigor
  • Maintain clean, well-documented, version-controlled code using Git

Required Qualifications

  • Master’s or PhD in Computer Science, Biomedical Engineering, Physics, or a related technical field
  • Minimum 2 years of professional experience working with AI technologies (machine learning, deep learning)
  • Strong proficiency in Python
  • Experience with Git version control
  • Hands-on experience working with medical, clinical, or healthcare datasets
  • Ability to translate complex analyses into actionable, real-world insights
  • Strong written and verbal communication skills

Preferred Qualifications

  • Experience working on healthcare research projects
  • Background in diagnostics, real-world evidence (RWE), or clinical trials
  • Experience analyzing ECG or cardiac-related datasets
  • Familiarity with regulatory or clinical data standards

What We Offer

  • 100% remote work environment
  • Opportunity to contribute to impactful cardiac care innovation
  • Collaboration with cross-functional healthcare and AI experts


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