Clinical Data Scientist (Onsite, Hybrid or Fully Remote Available) at Vitalograph
Remote, Scotland, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

14 Mar, 25

Salary

0.0

Posted On

13 Nov, 24

Experience

1 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Learning Techniques, Signal Processing, Sql, Clinical Data, Python, Matlab, Scientific Writing, Programming Languages, Exploratory Data Analysis, Data Science

Industry

Pharmaceuticals

Description

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.
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.
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