SUMMARY: The Biomedical Algorithm Engineer will contribute to our research in identifying the biomarkers of stroke. In this role, you’ll use your biomedical background to contribute to the research through literature reviews on the state of the art in stroke biomarkers, and you’ll apply physiological signal processing methods to extract features from existing and novel physiological signals collected from wearable devices. You’ll provide input on the design of data collection studies, some of which you may also carry out. You’ll contribute to the design and development of the data ingestion and analysis pipeline and tools to efficiently apply your algorithms to new data.

As part of a growing team, you’ll have the opportunity to collaborate with the product and engineering teams to provide inputs on data and sensor specification needs for future generation devices, and you’ll contribute to defining the algorithm performance targets. You’ll develop the validation strategy for the algorithms that you’ve built. You’ll collaborate internally, as well as with our clinical partners to discuss data findings, and identify novel insights. You’ll communicate with cross-functional teams (eg. IP, Marketing) and leadership on the results, progress, and new ideas of your work.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned on an individual basis:

• Implement and apply state of the art signal processing algorithms to clean the data and extract relevant signal features
• Perform first-line statistical evaluation to generate insights into the biomarkers of stroke
• Contribute to the development of a data processing pipeline to ingest incoming clinical data
• Identify opportunities to create new, novel insights into biomarkers of stroke and translate these into algorithms
• Work with clinical and product teams to define data needs, and help design appropriate data collection studies and define data collection systems
• You may perform data collection studies as needed to collect relevant signal data
• Work with engineering team to define sensor and data needs, evaluate sensor evaluation data and provide input to system architecture decisions
• Foster and contribute to a positive and collaborative culture
• Actively promote and support the company’s Quality Management processes
• Perform job functions in a safe and effective manner
• Other duties as assigned

This position does not offer sponsorship or relocation.

Salary Range: $111,000-$125,000

Please note that the salary information is a general guideline only. Kandu Health, Inc. considers factors such as scope and responsibilities of the position, candidate’s work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer. As part of our total rewards package, Kandu Health, Inc. offers comprehensive benefits including 401k, health benefits, generous PTO, a parental leave program and emotional health resources.

EDUCATION/EXPERIENCE:

• Ph.D. or Master’s in Biomedical Engineering, Computer Science, Data Engineering or equivalent with 2+ years of relevant industry experience in medical, physiological, health, wellness, and/or fitness sensors, devices, and applications
• Experience working with physiological signals and knowledge of the underlying human physiology.
• Experience in signal processing and algorithm programming (eg. Python, Matlab)
• Experience in ingesting, cleaning, and analyzing large volumes of raw sensor data
• Experience translating data needs into inputs for study designs to test scientific hypotheses with appropriate statistical power
• Strong data visualization and communication skills
• Knowledge of statistical techniques and concepts
• Experience with version control (e.g. Github) and best practices
• Data-driven with strong data analysis and evaluation skills
• A problem solver, able to seek out and identify the root causes of issue
• Excellent communications skills (both written and verbal) required
• Proactive, can-do attitude
• Self-motivated, organized, strong attention to detail, and ability to meet deadlines required
• Ability to work independently and to prioritize activities and workload
• Direct experience with algorithms for wearable devices signals (PPG, EMG, Accelerometer) preferred
• Experience in developing algorithms in a regulated medical device environment (510(k) or similar) preferred

WORK ENVIRONMENT:

• Flexible, hybrid work location: 1-2 days a week on-site preferred
• Due to the nature of the expected tasks, some work will need to be carried out on-site