Python Data Engineer - Biotech / Oncology - Cambridge / Hybrid w

https://www.osrecruit.com/job-search/322-python-data-engineer-biotech/oncology-cambridge/hybrid-w/development/cambridgeshire/job2024-03-20 12:08:352024-12-24Open Select
Job TypePermanent Full Time
LocationCambridge
AreaCambridgeshire, EnglandCambridgeshireEnglandCambridge
SectorI.T. - Development
Salaryup to £80,000 - Hybrid working
Start Date
Job RefPythonDataEngcamb
Job Views112
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!

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