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Clinical Data Scientist

4 months ago

Buckingham, United Kingdom Vitalograph Full time

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.
  • At least 1 year of experience in data science/data analysis and visualization projects.
  • Experience in scientific writing.


Preferred Qualifications:

  • Experience in Engineering, Science, Computer Science/Data Science, or related disciplines.
  • Experience working with structured and unstructured clinical data.
  • Experience in biomedical signal processing.
  • 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.


Key Measures of Success:

  • Timely and high-quality completion of tasks.
  • Effective communication with internal and external stakeholders.


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