Join Vitalograph as a Clinical Data Scientist - Shape the Future of Healthcare!
What We Offer: 23 days annual leave Excellent company pension scheme Death in service benefit of 4 x salary Company-contributed private medical insurance Opportunities for career development and training A supportive and collaborative work environment Reporting to: Principal Clinical Data Scientist Team: Clinical Data Science Team Are you ready to make a significant impact on healthcare innovation?
As a Clinical Data Scientist at Vitalograph, you'll be at the forefront of developing and commercialising cutting-edge analysis methods for biomedical signals and clinical data.
You'll have the opportunity to work on ground-breaking projects involving AI, signal processing algorithms, and the integration of these technologies into commercial software platforms.
You'll also collaborate on high-impact academic and clinical research projects, presenting your findings to senior management, clinical trial customers, and research collaborators.
Key Responsibilities: Prepare and explore large biomedical signal and clinical datasets, using data modelling and visualisation to support innovative analysis approaches.
Develop deployable analysis methods, algorithms, and systems to meet specific requirements, coding proficiently in MATLAB, Python, and SQL.
Create comprehensive technical documentation for the software you develop.
Work closely with Software R&D and Data Management teams, contributing to a collaborative and innovative environment.
Present your work to senior management, clinical trial customers, and academic or clinical research collaborators, showcasing the impact and importance of your projects.
Educational Requirements: Master's degree in Engineering, Science, Computer Science/Data Science, or a related discipline.
Key Skill Requirements: At least 3 years of experience in statistical/data analysis programming languages such as MATLAB and Python.
At least 1 year of experience in relational database technologies such as SQL.
Experience in biomedical signal processing.
At least 1 year of experience in data science/data analysis and visualization projects.
Experience in scientific writing.
Experience in Engineering, Science, Computer Science/Data Science, or related disciplines.
Experience working with structured and unstructured clinical data.
Experience applying statistical methods and reporting results.
At least 2 years of experience applying Exploratory Data Analysis and Machine Learning Methods to large clinical datasets.
OR At least 2 years of experience with Deep Learning techniques, including CNNs, RNNs, GANs, and LLMs.
A record of scientific publications in biomedical signal processing, data science, or related fields.
Key Competencies: Excellent problem-solving and innovation skills.
High levels of motivation, creativity, and inquisitiveness.
Strong verbal and written communication skills.
Ability to work both autonomously and within a team.
Strong collaboration skills with internal and external stakeholders of all seniority levels.
A passion for digital health technologies.
Why Join Us?
At Vitalograph, you'll be part of a team dedicated to pushing the boundaries of healthcare technology.
You'll have the opportunity to work on exciting and meaningful projects that make a real difference in the lives of patients and healthcare providers.
We value creativity, collaboration, and a passion for innovation.
If you're ready to take your career to the next level and be part of a company that's shaping the future of healthcare, apply now!
Become a part of a team where your contributions directly impact the future of healthcare.
Apply now and be at the forefront of clinical data science innovation!