The primary goal of this position is to drive the advanced data science initiatives focused on biosensor current – analysis and modelling for cutting-edge fetal lactate monitoring technology. This role will drive the development of robust and sophisticated machine learning models and algorithms to interpret biosensor electrical signals, with particular emphasis on current based measurements from our novel biosensor. The position requires deep expertise in electrical signal processing, current modelling, and advanced analytics to transform raw biosensor data into clinically actionable insights, build, train and test machine learning model development and model deployment, with a focus on leveraging data integration platforms such as Pentaho, Talend, and KNIME.
VitalTrace Pty Ltd is a multi-award-winning, VC-funded Australian-based Med-tech start-up company aiming to improve outcomes for mothers and children during the childbirth process. We are doing this by developing novel cutting-edge biosensor technologies for fetal monitoring during childbirth. We believe that mothers and babies deserve the highest standard of care, and that childbirth monitoring should be accurate and allow clinicians to make informed and timely decisions. We have a vibrant culture with a diverse, high-performing multidisciplinary team of clinicians, researchers, engineers, chemists, software developers, and data scientists all working towards the same goal.
Position Responsibilities:
We may from time to time vary or modify your duties but only to those duties for which you have the skill and competence.
Sensor Current Analysis and Modelling:
- Design and implement advanced algorithms for analysing biosensor current signals, FHR and ECG
- Develop predictive models for our current-lactate algorithm
Signal Processing & Feature Extraction:
- Design and develop algorithms for signal feature detection (e.g., ECG, Heart Rate, CTG) and the calculation of key clinical metrics
- Create sophisticated feature extraction techniques specific to biosensor outputs and also leveraging pre-clinical and clinical data
- Design filters and noise reduction algorithms
- Implement real-time signal processing solutions for continuous lactate monitoring
- Build production-ready machine learning models
- Perform rigorous testing and validation of models to ensure reliability and accuracy, generating clinical evidence for product design, regulatory pathways, and new product launches
- Comprehensive project scoping documents for each model development initiative, defining objectives, success metrics, timelines, and resource requirements
Platform Development and Integration:
- Develop APIs and integration layers for biosensor data consumption by clinical systems
- Handle the transition from proof-of-concept models to production-ready models
Collaboration:
- Work closely with the Data Architect, Data Scientist, R&D Scientists, Formulation Scientists, and Product Development teams to define model requirements for building models/algorithms
- Collaborate to integrate machine learning models into scalable, production-ready systems as the role evolves into more data science responsibilities
Business & Technical Translation:
- Collaborate with stakeholders to understand business needs and translate them into technical solutions
Documentation & Regulatory Compliance:
- Compile and document product and system requirements, ensuring they align with regulated medical device standards
- Ensure all modelling and analytical approaches meet medical device regulatory standards
- Support regulatory submissions with detailed technical analyses and validation reports
- Generate clinical evidence packages demonstrating model/algorithm validity and safety
Team Support & Flexibility:
- Be open to supporting team and company objectives in areas beyond your direct expertise, including evolving responsibilities in machine learning and modelling
Qualifications/Licences/Certificates
- Bachelor’s or Master’s Degree in Electrical Engineering, Biomedical Engineering, or related field with strong electrical systems background
- Advanced coursework or certification in data science, machine learning, or biomedical signal processing preferred
Relevant Experience, Skills, Knowledge and Requirements
- 5+ years of experience in a similar data science role, ideally in a clinical, healthcare, or medical device setting
- Expert-level proficiency in Python with emphasis on signal processing libraries (SciPy, scikit-signal) and analysis tools
- Solid background in signal processing and time series analysis, including IoT signal processing, will be considered an advantage
- Hands-on experience with KNIME, MATLAB, or similar platforms for analysis and model development
- Expertise in SQL and experience with Snowflake for data storage and querying.
- Superior proficiency in machine learning principles and techniques, with the ability to build production-ready models
- Strong understanding of data science methodologies and best practices
- Strong organizational skills, attention to detail, and a critical-thinking mindset
- Excellent written and verbal communication skills, with the ability to present complex data insights clearly to a variety of stakeholders
Additional information relevant to this position includes
- Work Location: This is an on-site role based in Perth, requiring presence at the company’s offices and laboratory facilities to collaborate with cross-functional teams and support data analysis, model development, and signal processing activities
- Due to the nature of the position and industry, there may be a requirement to work outside normal business hours
