Chief Science Officer
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Before you apply
Salary$200k – $250k
LocationNew York City, NY, New York, United States
Work modehybrid
Typefull-time
SeniorityC-Suite
DepartmentMachine Learning
Company size1+ people
PostedJun 2, 2026 · 5mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Proven leadership in applied ML/DL research
Strong intuition for architecture trade-offs on complex, temporal, real-world data
Familiarity with state space models (Mamba) and modern sequence modeling
Experience with clinical or biomedical datasets
MS or PhD in a relevant field, or equivalent industry depth
Genuine passion for building things that improve patient outcomes at scale
Background from research-grade ML environments such as Tempus, Isomorphic Labs, DeepMind, OpenAI, or Viz.ai
Experience navigating FDA or other regulatory contexts for ML-based medical devices
Signal processing or physiological time-series expertise
Skills
ML
DL
state space models
Mamba
sequence modeling
signal processing
About ElectroKare
ElectroKare turns a signal almost everyone already wears — the EKG from a smartwatch or chest strap — into a non-invasive window on blood chemistry. Today that means real-time electrolyte and recovery insight for athletes. The longer arc is bigger: the same waveform that flags a potassium shift mid-workout can surface the earliest signatures of chronic kidney disease, long before conventional screening catches it. We’re starting with performance and building toward detection that could change how kidney disease is caught at population scale.
About the Role
We’re hiring a Chief Science Officer to own the scientific vision and execution behind that mission. EKG is a rich, noisy, deeply temporal signal — extracting clinically meaningful predictions from single-lead consumer hardware is a genuinely hard problem, and we’re solving it with 1.5M patient EHR records, an active FDA approval process, and backing from a16z and Mayo Clinic. You’ll set the direction for how we do that, and lead the team that makes it real.
What You’ll Do
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Define and own ElectroKare’s ML research agenda — architecture decisions, modeling philosophy, and the scientific roadmap from current models to clinical-grade predictions
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Lead and grow a team of ML engineers and researchers working on EKG waveform modeling and clinical datasets
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Make high-judgment calls on sequence architecture trade-offs, including state space models like Mamba, for long physiological time series
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Partner with clinical, product, and regulatory to translate hard healthcare problems into tractable ML ones — and keep one eye on the path to FDA validation
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Represent the science externally: with investors, clinical partners, and the broader research community
What We’re Looking For
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Proven leadership in applied ML/DL research, with the credibility to set direction and the depth to stay close to the work
•
Strong intuition for architecture trade-offs on complex, temporal, real-world data
•
Familiarity with state space models (Mamba) and modern sequence modeling
•
Experience with clinical or biomedical datasets — you understand what it means for a model to be clinically meaningful, not just accurate
•
MS or PhD in a relevant field, or equivalent industry depth; this is a senior leadership role
•
Genuine passion for building things that improve patient outcomes at scale
Nice to Have
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Background from research-grade ML environments such as Tempus, Isomorphic Labs, DeepMind, OpenAI, or Viz.ai
•
Experience navigating FDA or other regulatory contexts for ML-based medical devices
•
Signal processing or physiological time-series expertise
Compensation
The base pay range for this role is $200,000 – $250,000 per year.