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!
