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Newton Colmore Consulting

Machine Learning Engineer - Drug Discovery

Newton Colmore Consulting, Seattle, Washington, us, 98127


Machine Learning Engineer - Drug Discovery

Newton Colmore is working with a discovery research company in Seattle at the forefront of innovation, assisting them with their search for a Machine Learning Engineer.

The company is committed to developing solutions that address unmet medical needs and improve patient outcomes, utilizing advanced machine learning algorithms.

On behalf of our client, we are seeking an experienced Machine Learning Engineer to join a multidisciplinary team of scientists and engineers, where you will play a crucial role in designing and implementing machine learning algorithms and models to extract insights from complex biological data.

Your expertise in machine learning, data analysis, and software engineering will contribute to the development of novel therapeutics from initial discovery through to clinical research.

You will hold responsibility for implementing machine learning algorithms and advanced models that interpret biological data and building data processing pipelines for large-scale datasets.

The Machine Learning Engineer will work closely with fellow engineers, biologists, chemists, and clinicians to understand the project requirements, the problem the project is aiming to solve, and then translate that into a solution using your machine learning knowledge.

Additionally, you will have the autonomy to explore and research new ML techniques, tools, and methodologies that can be utilized for biotech and drug discovery purposes.

We are ideally looking for an engineer who has a strong foundation in bioinformatics with proficiency in Python and TensorFlow, and experience with large-scale biological datasets.

You will ideally be educated to PhD-level with a passion for working on therapeutics and drug discovery projects.

In exchange for your expertise, the company is offering tailored packages and an extensive list of benefits, fostering a culture of innovation and excellence.

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