Address Lead a dynamic team of Data Scientists at VitalTrace, leveraging advanced statistical analysis and signal processing algorithms. Drive innovation in biosensor operations, shaping the future of childbirth technology!
Duties & Responsibilities
Manage a team consisting primarily of Data Scientists to accomplish team and company goals, including motivating, mentoring, and coaching for various skill and knowledge levels.
Develop team processes, prioritise data science work, develop team roadmaps and deliverables, and provide hands-on coaching and review of work performed by the team.
Design and develop time series and signal processing algorithms for the biological signal feature detection and metrics calculation.
Collaborate with Data Scientists and data engineers to define data requirements, clean and prepare data for training, evaluate model performance, and integrate models into scalable, production-ready systems.
Perform rigorous testing and validation of models to ensure reliability and accuracy in diverse clinically-relevant scenarios. Utilise this to generate clinical evidence to support product design, regulatory pathways, and product launch.
Conduct advanced statistical analysis to determine trends and significant data relationships. ANOVA, PCA, regression, modelling, forecasting, etc.
Analyse biological data collected from biosensor systems, draw insights, and present results in a cohesive, intuitive, and simple manner to functional stakeholders.
Work closely with stakeholders to understand VitalTrace business requirements and translate them into technical solutions.
Monitor and track model performance in production, identify and address issues, and iterate on models for continuous improvement.
Designing, developing, and maintaining software solutions to meet company needs.
Compiling the relevant documentation of product and system requirements, including those required to operate in a regulated medical device field.
Work with clinicians, scientists, engineers, and Data Scientists to prepare scientific conference presentations and publications.
We may from time to time vary or modify your duties but only to those duties for which you have the skill and competence.
Skills & Experience
Extensive experience in data science in a relevant industrial or academic setting, with preferred experience with managing staff and/or teams.
Possesses a deep understanding of data science methodologies and concepts.
Proficiency in Python programming and libraries.
Proficiency in time series and signals processing, and statistical analysis including regression.
Experience with data cleaning, feature engineering, algorithm development, and model evaluation.
Experienced in database design and architecture principles.
Experience in handling and processing physiological/biological data sets.
Competent in machine learning principles, algorithms, and techniques.
Demonstrable history of devising and overseeing data-centred projects.
Excellent organisation and time management skills.
Strong problem-solving and critical-thinking skills. Capable of independently driving issues to resolution. A high degree of curiosity and creativity.
Excellent written and verbal communication skills to convey complex technical concepts to non-technical stakeholders and collaborate effectively across teams.
Qualifications
BSc or MSc in data science, statistics, computer science, biomedical engineering, physiology, biochemistry, or similar.
