Python Data Engineer - Biotech / Oncology - Cambridge / Hybrid w
Job Type | Permanent Full Time |
Location | Cambridge |
Area | Cambridgeshire, England |
Sector | I.T. - Development |
Salary | up to £80,000 - Hybrid working |
Start Date | |
Job Ref | PythonDataEngcamb |
Job Views | 114 |
- Description
A cutting-edge biotechnology organisation is on a mission to revolutionize cancer detection, quantification, and treatment monitoring. We're seeking a visionary Python Data Engineer to spearhead the ground breaking projects. If you're passionate about leveraging technology to save lives, this is the opportunity you've been waiting for.
About Us:
They're pioneers in harnessing technology to tackle the complexities of cancer research and treatment. With a bold vision and a relentless commitment to excellence, we're leading the charge in the fight against cancer.
What they are looking For:
A Python Data Engineer with a rare blend of technical expertise and life sciences experience. If you have a knack for building robust data models, a deep understanding of machine learning and AI, and a passion for advancing cancer research, you could be the perfect fit.
Key Responsibilities:
- Develop and optimize data models to accurately detect and quantify cancer biomarkers.
- Ensure data quality and reliability through meticulous attention to detail and rigorous testing.
- Leverage machine learning and AI techniques to extract insights from complex biological data.
- Collaborate with cross-functional teams to integrate clinical data and models into our research pipeline.
- Stay at the forefront of technology trends and contribute to the continuous improvement of our data infrastructure.
Qualifications:
- Bachelor's degree or higher in Biotechnology, Bioinformatics, Computer Science, or a related field.
- Proficiency in Python programming and experience with data analysis libraries such as PyTorch, Keras, and TensorFlow.
- Strong knowledge of SQL and NoSQL databases, with experience in data modeling and optimization.
- Familiarity with cloud platforms such as AWS or Azure, and experience with DevOps tools like GitHub.
- Previous experience in the life sciences industry, particularly in clinical data analysis and modeling, is highly desirable.
Why Join?
Impact - Your work will directly contribute to advancements in cancer research and treatment, potentially saving lives.
Innovation - Be part of a dynamic team that's pushing the boundaries of biotechnology with state-of-the-art technology.
Collaboration - Work alongside some of the brightest minds in the industry, fostering a culture of creativity and collaboration.
Growth - Take your career to new heights with ample opportunities for professional development and advancement.
Let’s make history. Apply today!