Associate Director of Data Science and Engineering, Invivomics

The Impact You'll Make

• Enable your teams for scale - Develop, guide, and manage a multi-disciplinary team of competent Data Scientists, Machine Learning practitioners, and Software Engineers that digitize in vivo drug discovery research on a large scale to mitigate and accelerate the discovery and development of medicine.
• Act as a mentor, coach, and sponsor - You will leverage your technical, leadership, and managerial competencies and experiences to achieve impact, knowledge, and growth across the teams at Recursion. We believe that the most efficient work arises from collaboration across organizational limits, and you will get the chance to cooperate with groups across the business.
• Develop the InVivomics platforms - The InVivomics platform was designed to revolutionize the execution, evaluation, and interpretation of preclinical animal studies to enable a more acute, proactive, and reproducible assessment of disease phenotype and compound effects. The Invivomics team partners with the Recursion Vivarium (RV), which oversees the operations for the implementation of digital studies.

The Team You'll Join

The Digital Vivarium Innovation is a multi-disciplinary group of Data Scientists, Machine Learning practitioners, and Software Engineers covering a wide variety of tasks. Primarily, they design and utilize a digital platform to refine and validate the biological basis of Recursion's drug discovery initiatives. This involves standardizing and integrating multiple useful animal assays into a growing database of biological data, enabling continuous active learning and enhancement of compound insights. Additionally, this team develops high-dimensional representations of animal behavior which are used to model disease and compound tolerability, relate phenotypic responses across studies and generate insights that assist in the discovery of safe and effective treatments.

As the leader of this team, you will report to the Director of Engineering and will collaborate with a group of engineering managers and associate directors , all working together on the craft of engineering leadership. You will also work closely with directors of data science and product managers to plan and implement exciting new methods to industrialize discovery and validation in animal models. We all work better when we are supported and learn together to solve problems across our teams.

Location:

This position is based at our headquarters in Salt Lake City, Utah, Milpitas, CA, or our office in Toronto, Ontario.

The Experience You'll Need

• Experience as a Software/Machine Learning Engineering or Data Science manager/director, with enthusiasm for deeply involving in technical discussions and decisions to advance research and industrialization.
• Awareness of machine learning and AI advancements and a desire to apply them in new ways for drug discovery and validation.
• Proven experience in leading technical teams using both technical and interpersonal skills to achieve results.
• A people-first mentality. We deliver in a way that prioritizes supporting our coworkers in their growth and experience.
• Evidence of a track record of learning from and teaching peers in areas of performance, scalability, and system architecture.
• Experience working across a business on highly collaborative projects.
• Eagerness to learn parts of our tech stack that you might not already know and jump in and get your hands on code when needed. Our current tech stack includes: Python, React, BigQuery, Postgres,. , Kubernetes, large scale distributed systems. Our cloud services are provided by Google Cloud Platform and Amazon Web Services.

How You’ll be Supported

• A peer mentor assigned for onboarding during the first 90 days.
• Work is typically completed by mobbing or pairing.
• Regular one-on-one meetings with the supervisor for support and feedback.
• Weekly retrospectives facilitate team cohesion.
• A generous benefits package and daily lunch (depending on location).
• Fund for attending one technical conference per year.

At Recursion, we believe that every employee should receive fair compensation. With the skill and level of experience required for this role, the estimated current annual base range for this role is:

• Developing: $192,000
• Skilled: $203,000
• Expert: $217,000

To learn more about our levels, click .

You will also be eligible for bonuses and equity compensation, along with our comprehensive benefits package for United States-based candidates. The range displayed on each job posting shows target ranges for US new hire salaries and is determined by job, level, and market factors.

During the interview selection process, you will connect with a Talent Acquisition Partner who will act as your advocate and ally to ensure you receive the appropriate compensation that accommodates your skills, experience, and relevant education/training, while also reviewing our competitive total rewards package.

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