Senior Machine Learning Scientist

Senior Machine Learning Scientist

Montreal, Quebec, Canada  - Permanent

Job Description

Our client is a clinical-stage biotechnology company decoding biology by integrating technological innovations across biology, chemistry, automation, data science, and engineering, with the goal of radically improving the lives of patients and industrializing drug discovery.

They uses a suite of custom software, algorithms, and machine learning to explore foundational biology unconstrained by human bias and navigate to new biological insights.

They are a biotechnology company scaling more like a technology company.

They have their own supercomputer (Ranked in the Top60 of most powerful in the world according to the TOP500 list), as well as access to ample cloud resources.

You will:

- Develop innovative analysis for novel biological datasets. You will work tightly with biologists and chemists in a project team to help design experiments and develop novel analyses that will accurately answer specific questions.

- Design scalable solutions. In collaboration with machine learning scientists and software engineers, you will create software tools to analyze and visualize the high-throughput, multimodal biological screening data from the Recursion platform.

Must Have Skills:

•PhD in Computer Science or related field, or equivalent practical experience.
•2+ years experience developing creative statistical approaches to large-scale data problems.
•A firm grasp of the fundamentals of probability, statistics, and machine learning.
• Experience applying modern machine learning methods to solve business problems in highly cross-functional environments.
•Excellence at working on a dynamic project team, turning experimental designs and analyses around quickly in collaboration with other data scientists and software engineers.
•Demonstrated experience developing and implementing analyses of high-throughput/large-scale data to address data centric questions with statistical confidence. (through publications or work experience)
•High fluency with the Python data stack (numpy, pandas, sklearn, etc).
•Experience with SQL databases, distributed version control systems, such as git, and experience with peer code review.
•Practical working experience applying the aforementioned professional competencies (e.g. 3+ years industry experience, PhD in an ML-focused computational science field or equivalent experience in post-doctoral research, etc.)
• Record of publications and presentations.

Nice to Have Skills:

•Experience designing high throughput experiments to address biological questions, either on your own or in collaboration with bench scientists.
•Experience analyzing data from imaging- and/or genomics-based modalities in particular.
•Code you can share.


Starting: ASAP

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