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Machine Learning Engineer

2 months ago

Oxford, Oxfordshire, United Kingdom OrganOx Full time
About OrganOx

OrganOx is a pioneering medical device company dedicated to revolutionizing organ transplantation. Our mission is to develop innovative products that maximize the use of donated organs, saving lives and improving patient outcomes.

Job Summary

We are seeking a highly skilled Data Scientist to join our dynamic Digital team at OrganOx. As a key member of our team, you will play a pivotal role in driving the success of our digital products and enhancing our machine capability. Your expertise will be instrumental in analyzing complex datasets, developing predictive models, and uncovering actionable insights that will shape our digital products and optimize use of our devices.

Key Responsibilities
  • Data Analysis and Interpretation
    • Analyze clinical and machine datasets to generate actionable insights.
    • Develop predictive models using statistical methods and machine learning techniques.
  • Collaboration and Communication
    • Work with cross-functional teams to understand data needs and provide analytical support.
    • Collaborate with research partners on initiatives that advance OrganOx's role in the transplant community.
    • Communicate findings and recommendations to technical and non-technical stakeholders.
  • Digital Product Enhancement
    • Provide data-driven insights to further develop digital products.
    • Identify opportunities for improving product performance and patient outcomes.
  • Data Management
    • Ensure data quality and integrity through robust data governance practices.
    • Collaborate with IT and the Digital team to improve data processes.
  • Innovation and Research
    • Stay updated with the latest advancements in data science in the context of transplantation.
    • Foster a culture of innovation, aligning with our commitment to evidence & integrity, to drive continuous improvement in our digital solutions.
Requirements
  • Technical Leadership and Team Collaboration
    • Previous experience in technically leading solutions within cross-functional teams.
    • Experience working with both internal and external teams to deliver projects.
  • Programming Skills
    • Expert in a technical computing language such as Python, R, Matlab or Julia.
    • Experience working with libraries such as SciPy, NumPy, Pandas, PyTorch or R packages.
    • Proficient in a standard programming language such as C#, F#, Java or Scala.
    • Proficient in utilizing the.Net environment, VS Code and SQL databases.
  • Signal Processing and Data Analysis
    • Proven record of applying signal processing techniques and predictive analytics.
    • Familiar with descriptive statistics and machine learning techniques.
  • Integration
    • Preferably with experience integrating data sources using 3rd party APIs and developing research interfaces such as R packages or Jupyter Notebooks.
  • Domain-Specific Experience (Desirable)
    • Experience in life sciences, medical devices, digital health or predictive maintenance.
    • A Master's or PhD in Data Science, Statistics, Computer Science, or a related field.
    • Relevant certifications in data science or machine learning are a plus.
What We Offer

We recruit and retain the best people from a broad range of diverse backgrounds who share our values of innovation, evidence, integrity, teamwork, respect and passion. If you are a data-driven problem solver committed to digital innovation within the medical device industry, with a desire to make a meaningful impact on patient care, we want to hear from you.