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Data Analyst and Scientist

2 months ago

Oxford, Oxfordshire, United Kingdom BioTalent Full time
About the Role

We are seeking a highly skilled and experienced Data Scientist and Analyst to join our team at BioTalent. As a key member of our digital team, you will play a crucial role in advancing our digital products and enhancing our machine capabilities.

Key Responsibilities
  • Data Analysis and Insights: Analyze complex datasets to extract actionable insights that will help shape our digital solutions and optimize device usage.
  • Collaboration and Communication: Work closely with cross-functional teams to understand data needs and offer analytical support, ensuring seamless communication and collaboration.
  • Product Enhancement: Identify ways to enhance product performance and improve patient outcomes, aligning with our mission to save lives.
  • Data Governance: Maintain high data quality and integrity through effective data governance practices, ensuring compliance with industry standards.
  • Process Improvement: Partner with IT and Digital teams to streamline and enhance data processing workflows, driving efficiency and productivity.
  • Staying Up-to-Date: Stay current with the latest developments in data science, particularly in transplantation research, to ensure our solutions remain cutting-edge.
  • Culture of Innovation: Foster a culture of innovation and continuous improvement in digital solutions, aligning with our values of evidence and integrity.
Requirements
  • Experience: Proven experience in collaborating with both internal and external teams to successfully deliver projects.
  • Technical Skills: Proficiency in technical computing languages such as Python, R, MATLAB, or Julia, as well as experience with data analysis libraries like SciPy, NumPy, Pandas, PyTorch, or related R packages.
  • Programming Languages: Competency in general-purpose programming languages such as C#, F#, Java, or Scala, with familiarity with the.NET framework, VS Code, and SQL databases.
  • Signal Processing and Predictive Analytics: Hands-on experience with signal processing techniques and predictive analytics, with a strong foundation in descriptive statistics and machine learning techniques.
  • Integration and Research: Preferably experienced in integrating data from third-party APIs and creating research tools like R packages or Jupyter Notebooks.
  • Background: Background in life sciences, medical devices, digital health, or predictive maintenance is desirable.
Qualifications
  • Education: Master's or PhD in Data Science, Statistics, Computer Science, or a related discipline.
  • Certifications: Certifications in data science or machine learning are a plus.
  • Problem-Solving and Communication: Excellent problem-solving abilities and experience in troubleshooting complex issues, with strong communication and interpersonal skills, reflecting a commitment to teamwork and respect.