Data scientist- Machine Learning

Stemnovate aims to commercialize platforms that reduce the cost of drug discovery for the pharmaceutical industry and ensure safety for the patients. 

At our R&D site in Babraham Research Campus, Cambridge we currently have an exciting opportunity to join our team as a Data Scientist to work on projects generating crucial pharmaco-relevant data that will expedite our drug discovery platform. You will be interacting with the multidisciplinary team to process and analyze data using exploratory and hypothesis-driven approaches. You will also work with the real-time data acquired with the electronics system for processing, display, and storage.

As a data scientist in Stemnovate’s team, you

• will be analyzing datasets and researching novel means for gathering key physiological insights. For example, generating gene signaling networks, clustering application, and computational modeling.
• will be exploring if, and how, the latest advances and trends in machine learning can be implemented.
• will be identifying and proposing solutions to problems that could assist our product platform.
• will provide skills in data processing, display, and storage including remote management

• Coding experience with a well-known statistical language/script (e.g, C++, Python, R).
• Knowledge of common libraries and frameworks including Numpy, Scipy, Pandas, Matplotlib, Tensorflow, GGPlot, Keras, PyTorch, etc.
• Familiarity with SQL databases and backend systems.
• Expertise in machine learning using unsupervised and supervised methods, and text analytics.
• Knowledge and experience in advanced bioinformatic analysis and cloud computing.
• Must have experience applying data analysis and modeling techniques to ‘real-world’ actual data.
• Ability to learn and adapt to new technologies and paradigms quickly.
• A Flexible approach with an ability to perform under pressure.
• Good communication skills.
• A biological background is desirable but not necessary.