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Data Analyst and Scientist

2 months ago

Oxford, Oxfordshire, United Kingdom BioTalent Full time
Job Description

We are seeking a highly skilled and innovative Data Scientist to join our dynamic digital team at BioTalent. As a key member of our team, you will play a crucial role in advancing our digital products and enhancing our machine capabilities. Your work will directly contribute to our mission to save lives.

Key Responsibilities:

  • Analyze complex datasets to extract actionable insights and drive business growth.
  • Collaborate with cross-functional teams to understand data needs and offer analytical support, ensuring seamless integration and effective decision-making.
  • Identify opportunities to enhance product performance and improve patient outcomes, aligning with our organization's values of innovation and evidence-based decision-making.
  • Maintain high data quality and integrity through effective data governance practices, ensuring compliance with industry standards.
  • Partner with IT and Digital teams to streamline and enhance data processing workflows, optimizing efficiency and reducing costs.
  • Stay up-to-date with the latest developments in data science, particularly in transplantation research, to drive innovation and improvement.
  • Foster a culture of innovation and continuous improvement in digital solutions, aligning with our organization's values of evidence and integrity.

Requirements:

  • Proven experience in collaborating with internal and external teams to successfully deliver projects, with a strong track record of achievement.
  • Proficiency in technical computing languages such as Python, R, MATLAB, or Julia, with experience in data analysis libraries like SciPy, NumPy, Pandas, PyTorch, or related R packages.
  • Competency in general-purpose programming languages such as C#, F#, Java, or Scala, with experience in the.NET framework, VS Code, and SQL databases.
  • Hands-on experience with signal processing techniques and predictive analytics, with a strong foundation in descriptive statistics and machine learning techniques.
  • Preferably experienced in integrating data from third-party APIs and creating research tools like R packages or Jupyter Notebooks.
  • Background in life sciences, medical devices, digital health, or predictive maintenance is desirable.

Qualifications:

  • Master's or PhD in Data Science, Statistics, Computer Science, or a related discipline.
  • Certifications in data science or machine learning are a plus.
  • Excellent problem-solving abilities and experience in troubleshooting complex issues.
  • Strong communication and interpersonal skills, reflecting a commitment to teamwork and respect.