Senior Data Scientist, Cardiosense
Digital biomarker platform
Open for applications
Digital biomarker platform
21-100 employees
Open for applications
21-100 employees
Company mission
To use physiological waveform data to predict cardiac illness and enable early interventions so people can enjoy healthier, longer lives.
Role
Who you are
- We are seeking a highly experienced Senior Data Scientist to lead complex projects, mentor junior team members, and develop cutting-edge machine learning models and analytics tools
- The ideal candidate will have a proven track record of solving high-impact business problems using data-driven methodologies and be passionate about advancing our organization's data capabilities
- Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related field
- 3+ years of professional experience in data science or machine learning roles
- Demonstrated experience leading data science projects or teams
- Expertise in programming languages such as Python, R, or Scala
- Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with big data tools (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP)
- Strong analytical thinking and problem-solving abilities
- Excellent communication and presentation skills
- Familiarity with MLOps and automated pipelines
Desirable
- Industry experience in healthcare or medical device environment
- Proven ability to influence cross-functional teams and stakeholders
What the job involves
- Data Strategy
- Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions
- Collaborate with clinical teams and external vendors to facilitate data collection
- Model Development & Deployment
- Design, develop, and deploy scalable machine learning models and advanced analytics
- Apply digital signal processing techniques to physiological waveforms (PPG, ECG, SCG, etc.) and build novel machine learning algorithms for hemodynamic assessment
- Optimize existing algorithms and pipelines to improve efficiency and performance
- Own the end-to-end lifecycle of models, from research and prototyping to production and monitoring
- Advanced Analytics
- Perform exploratory data analysis to extract actionable insights
- Develop predictive, prescriptive, and descriptive analytics to inform decision-making
- Work with structured and unstructured data to uncover trends and patterns
- Data Infrastructure & Tools
- Partner with data engineering teams to ensure the availability of robust data pipelines
- Recommend and implement data tools, frameworks, and platforms to enhance workflows
- Stakeholder Engagement
- Communicate complex findings and recommendations to technical and non-technical stakeholders
- Translate business objectives into data science tasks and projects
Our take
Very often heart conditions and diseases can go undetected until substantial symptoms come to light. A recent study showed 50% to 80% of all heart attacks are silent. Cardiosense is developing AI powered technology to mine raw biosignals for unprecedented visibility into cardiac function.
In a very short space of time the company created its wearable CardioTag Sensor, developed its Wavesense Platform allowing the data to be seen in a clear dashboard and use Clinical AI to work to find digital biomarkers for early disease detection.
Cardiosense is hitting the ground running securing serious funding, which has allowed the company to grow its team, accelerate product development, and fund an expansive heart failure study. The impressive list of partners backing the company speaks to the excitement around this innovative product.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Dec 2022
$15.1m
SERIES A
Total funding: $15.1m
Company HQ
West Loop, Chicago, IL
Leadership
Amit Gupta
(Co-founder)Worked as a Product and Strategy Advisor at Seastar Labs Inc. Moved through several roles at Ishi Systems Inc, most recently as Director of Product in Analytics.
Andrew Carek
(Co-founder)Doctor of Philosophy - PhD in Electrical and Electronics Engineering. Went onto become a Research Intern after studying and Postdoctoral Researcher at Northwestern University.
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