Data Scientist
5 days ago
OrganOx is a pioneering medical device company dedicated to revolutionizing organ transplantation. Our mission is to make every donated organ count, and we're seeking a talented Data Scientist to join our dynamic Digital team.
Job SummaryWe're looking for a skilled Data Scientist to drive the success of our digital products and enhance our machine capability. As a key member of our team, you'll collaborate with cross-functional teams to analyze complex datasets, develop predictive models, and uncover 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 and 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, and 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, and ensure data quality and integrity through robust data governance practices.
- Innovation and Research: Stay updated with the latest advancements in data science in the context of transplantation, foster a culture of innovation, and align with our commitment to evidence & integrity to drive continuous improvement in our digital solutions.
- 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, and 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, and 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, and relevant certifications in data science or machine learning are a plus.
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 this sounds like you, and you're looking for somewhere to grow, develop and thrive, we want to hear from you.
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