Biomedical Research Collaborator – Cardiovascular Monitoring

Company Description

72Ahead is an early-stage health-tech startup developing wearable multisensor technology for early detection of heart failure deterioration and recovery trends.

The company is focused on shifting heart failure management from reactive care to proactive monitoring by combining physiological sensing, clinical insight, and AI-based analytics. The goal is to identify meaningful physiological changes before symptoms become severe, support earlier clinical intervention, reduce avoidable hospitalizations, and improve quality of life for people living with heart failure.

Role Description

72Ahead is preparing for a clinical feasibility study with real heart failure patients in a heart failure clinic.

We are looking for a strong Biomedical Research Collaborator to help lead the scientific and biomedical aspects of the study. This is not a standard clinical operations role. We are looking for someone with serious biomedical research experience who can think deeply about cardiovascular physiology, signal quality, biomarkers, study design, and interpretation of patient data.

The work will focus on clinical feasibility study planning, biomarker definition, biosignal quality assessment, physiological data analysis, protocol refinement, and translation of raw wearable sensor data into clinically meaningful insights.

The collaborator will work closely with the founder, clinicians, engineers, and data/AI contributors, and will help shape the scientific direction of the clinical feasibility study and future validation work.

The structure, scope, time commitment, and future involvement will be discussed individually with relevant candidates.

Qualifications

The ideal candidate holds a PhD in Biomedical Engineering, Cardiovascular Physiology, Biomedical Sciences, or a related field, with strong experience in cardiovascular research and physiological signal interpretation.

Exceptional MSc candidates will also be considered, particularly if they have a specific expertise in cardiovascular systems, heart failure, hemodynamics, wearable sensing, or biomedical signal analysis.

Relevant qualifications:

• Deep understanding of cardiovascular physiology, heart failure, hemodynamics, or patient monitoring.

• Experience with physiological signals or clinical time-series data.

• Strong advantage: experience in signal processing, Python, MATLAB, data analysis, or biomedical algorithm development.

• Strong advantage: prior research in cardiovascular disease, heart failure, digital health, remote patient monitoring, or medical devices.

• Ability to review raw physiological data critically and translate clinical questions into measurable parameters.

• Experience with clinical protocols, ethics submissions, feasibility studies, or collaboration with clinicians is an advantage.

• Interest in early-stage medical innovation and willingness to contribute to a developing scientific and clinical direction.