Recursion Pharma
Recursion is a clinical biotechnology company building the world's largest proprietary biological and chemical data atlas, industrializing drug discovery and development. Recursion is proudly headquartered in Salt Lake City, Utah with offices in Toronto, Montreal and Milpitas, California. We're working to solve some of the most meaningful problems facing human health today. Come do the most impactful work of your career at a company that prioritizes belonging, collaboration and career development. We offer Participation in equity programs for full-time employees with restricted stock unit (RSUs) and employee stock purchase plan (ESPP) programs Competitive compensation offerings 100% coverage of health, vision, and dental insurance premiums for our employees and their dependents Access to a digital mental wellness platform providing a range of services for all staff and their dependents Available subsidized on-site childcare in Salt Lake City 401K matching program with immediate vesting Lifestyle spending benefit for fitness and wellbeing Generous paid parental leave, including adoptive leave Two company-wide, week-long breaks in July and December to recharge Beautiful, spacious headquarters location in downtown Salt Lake City, Utah that features daily catered lunches and a 70-foot rock climbing wall Our Toronto location is a multidisciplinary office focusing on engineering and machine learning, next door to The Rivoli and just steps from the Horseshoe Tavern The Montreal office is part of the Montreal Institute for Learning Algorithms (MILA) to maximize interaction and collaboration. It is in the Mile End neighborhood, steps away from great restaurants and bars in Little Italy and the Jean Talon Market Milpitas, California is home to our Vivarium lab which offers daily catered lunches and an arcade room Our culture and values We live our values at Recursion. They are the core behaviors that define our culture across every office, team and level. Our values aren't just nice ideas, they are our strategic advantage, the means by which we work well together so we can reinvent the drug discovery industry. Proud founding member of BioHive, the fastest growing life sciences community in the nation Get In Touch
Recursion is a clinical biotechnology company building the world's largest proprietary biological and chemical data atlas, industrializing drug discovery and development. Recursion is proudly headquartered in Salt Lake City, Utah with offices in Toronto, Montreal and Milpitas, California. We're working to solve some of the most meaningful problems facing human health today. Come do the most impactful work of your career at a company that prioritizes belonging, collaboration and career development. We offer Participation in equity programs for full-time employees with restricted stock unit (RSUs) and employee stock purchase plan (ESPP) programs Competitive compensation offerings 100% coverage of health, vision, and dental insurance premiums for our employees and their dependents Access to a digital mental wellness platform providing a range of services for all staff and their dependents Available subsidized on-site childcare in Salt Lake City 401K matching program with immediate vesting Lifestyle spending benefit for fitness and wellbeing Generous paid parental leave, including adoptive leave Two company-wide, week-long breaks in July and December to recharge Beautiful, spacious headquarters location in downtown Salt Lake City, Utah that features daily catered lunches and a 70-foot rock climbing wall Our Toronto location is a multidisciplinary office focusing on engineering and machine learning, next door to The Rivoli and just steps from the Horseshoe Tavern The Montreal office is part of the Montreal Institute for Learning Algorithms (MILA) to maximize interaction and collaboration. It is in the Mile End neighborhood, steps away from great restaurants and bars in Little Italy and the Jean Talon Market Milpitas, California is home to our Vivarium lab which offers daily catered lunches and an arcade room Our culture and values We live our values at Recursion. They are the core behaviors that define our culture across every office, team and level. Our values aren't just nice ideas, they are our strategic advantage, the means by which we work well together so we can reinvent the drug discovery industry. Proud founding member of BioHive, the fastest growing life sciences community in the nation Get In Touch
Recursion
The Impact You'll Make With treatments for hundreds of diseases in our sights, we've built a data science team with domain expertise in computer science, bioinformatics, physics, biology, mathematics, applied statistics, and more. We work side-by-side with biologists, automation scientists, chemists, software engineers, and many others; together, we develop the tools and methods to turn our experimental data into treatments for pathologies that affect the lives of countless individuals. As a data scientist supporting the development of our industrialized workflows, you'll work with a highly dynamic team that is focused on improving how we move from ideation through to advanced candidate drugs in a way that accelerates decision-making and automates as much as possible to scale the impact that we can have. You'll have access to unbelievable scales of data: we currently run up to 2.2 million experiments run each week, our ground-breaking Phenom-1 foundation model, trained on > 1 billion in-house images, and our maps of biology and chemistry that contain > 5 trillion relationships across multiple biological and chemical contexts. In this role, you will leverage this data as you: Partner with chemists and biologists to understand their processes and the questions that they are asking at each stage of the drug discovery funnel Contribute to the development of LOWE, a natural language interface that connects wet- and dry-lab components of the Recursion OS to streamline drug-discovery tasks Develop methods, metrics, benchmarks, and models to help drive drug discovery in a standardized way. Convert exploratory analysis into production-quality functions that can be incorporated into in-house Python packages and that support at-scale generation of data packages to accelerate decisions on passing programs through internal stage gates. Create and analyze enormous sets of connected data for a variety of programs to learn how best to advance drug discovery in an industrialized way Collaborate with engineering teams to mature your models and analyses and put them into productionized flows Deliver quickly and iteratively, both supporting in-flight programs and building improvements for the long-term in short-lived, agile workstreams Learn to leverage new code packages and data science techniques as needed Location: Making London your home base is ideal, however, we will consider on-site work in our Salt Lake City, Utah or Toronto, Ontario offices as well. The Team You'll Join We are an application-oriented group whose goal is to discover drugs at scale, using the toolkit of computational science in collaboration with our counterparts in other engineering (software and data engineering, laboratory automation), scientific (biology, chemistry, clinical science), and operational (laboratory operations, regulatory affairs) disciplines. We are value-driving - data science at Recursion is not just an accelerating function; it is a core part of our value proposition. As data scientists, we are responsible for showing up as leaders and visionaries, helping to shape how Recursion delivers on our mission. We work on what matters and deliver in timescales of weeks not quarters. We focus on the impact that we are trying to make and the "why" of what we are trying to deliver and are resilient if the "how" of what we are doing needs to change. The Experience You'll Need 3-5+ years practical experience applying probability, statistics, and machine learning to real-world datasets in service of academic or business applications and recommendations. Strong preference for experience in the field of biosciences (particularly pharmaceuticals) or working on projects that require regular cross-disciplinary collaboration. Experience working within a fast-paced interdisciplinary team to solve business-relevant problems and communicating complex concepts and methods to audiences with diverse technical backgrounds. High fluency with the Python data stack (numpy, pandas, scikit-learn, etc). Experience in collaborative data product development and peer code review, including version control tools like git. Experience developing, releasing, and maintaining data products in a continuous-use production environment. Nice to have: experience in creating compelling visualizations of high-dimensional data that enable clear decision-making and interpretation, prompt engineering for LLMs, cheminformatics, OR analysis of RNA sequencing data. How You'll be Supported You will be assigned a peer trail guide to support you as you onboard and get familiar with Recursion systems Receive real-time feedback on code quality and best practices from a team of peers Ability to participate and learn from your colleagues in our regular all-hands, journal club & tech talks for Data Science Option to attend conferences to learn more from colleagues, networks, and more to better your skillset
The Impact You'll Make With treatments for hundreds of diseases in our sights, we've built a data science team with domain expertise in computer science, bioinformatics, physics, biology, mathematics, applied statistics, and more. We work side-by-side with biologists, automation scientists, chemists, software engineers, and many others; together, we develop the tools and methods to turn our experimental data into treatments for pathologies that affect the lives of countless individuals. As a data scientist supporting the development of our industrialized workflows, you'll work with a highly dynamic team that is focused on improving how we move from ideation through to advanced candidate drugs in a way that accelerates decision-making and automates as much as possible to scale the impact that we can have. You'll have access to unbelievable scales of data: we currently run up to 2.2 million experiments run each week, our ground-breaking Phenom-1 foundation model, trained on > 1 billion in-house images, and our maps of biology and chemistry that contain > 5 trillion relationships across multiple biological and chemical contexts. In this role, you will leverage this data as you: Partner with chemists and biologists to understand their processes and the questions that they are asking at each stage of the drug discovery funnel Contribute to the development of LOWE, a natural language interface that connects wet- and dry-lab components of the Recursion OS to streamline drug-discovery tasks Develop methods, metrics, benchmarks, and models to help drive drug discovery in a standardized way. Convert exploratory analysis into production-quality functions that can be incorporated into in-house Python packages and that support at-scale generation of data packages to accelerate decisions on passing programs through internal stage gates. Create and analyze enormous sets of connected data for a variety of programs to learn how best to advance drug discovery in an industrialized way Collaborate with engineering teams to mature your models and analyses and put them into productionized flows Deliver quickly and iteratively, both supporting in-flight programs and building improvements for the long-term in short-lived, agile workstreams Learn to leverage new code packages and data science techniques as needed Location: Making London your home base is ideal, however, we will consider on-site work in our Salt Lake City, Utah or Toronto, Ontario offices as well. The Team You'll Join We are an application-oriented group whose goal is to discover drugs at scale, using the toolkit of computational science in collaboration with our counterparts in other engineering (software and data engineering, laboratory automation), scientific (biology, chemistry, clinical science), and operational (laboratory operations, regulatory affairs) disciplines. We are value-driving - data science at Recursion is not just an accelerating function; it is a core part of our value proposition. As data scientists, we are responsible for showing up as leaders and visionaries, helping to shape how Recursion delivers on our mission. We work on what matters and deliver in timescales of weeks not quarters. We focus on the impact that we are trying to make and the "why" of what we are trying to deliver and are resilient if the "how" of what we are doing needs to change. The Experience You'll Need 3-5+ years practical experience applying probability, statistics, and machine learning to real-world datasets in service of academic or business applications and recommendations. Strong preference for experience in the field of biosciences (particularly pharmaceuticals) or working on projects that require regular cross-disciplinary collaboration. Experience working within a fast-paced interdisciplinary team to solve business-relevant problems and communicating complex concepts and methods to audiences with diverse technical backgrounds. High fluency with the Python data stack (numpy, pandas, scikit-learn, etc). Experience in collaborative data product development and peer code review, including version control tools like git. Experience developing, releasing, and maintaining data products in a continuous-use production environment. Nice to have: experience in creating compelling visualizations of high-dimensional data that enable clear decision-making and interpretation, prompt engineering for LLMs, cheminformatics, OR analysis of RNA sequencing data. How You'll be Supported You will be assigned a peer trail guide to support you as you onboard and get familiar with Recursion systems Receive real-time feedback on code quality and best practices from a team of peers Ability to participate and learn from your colleagues in our regular all-hands, journal club & tech talks for Data Science Option to attend conferences to learn more from colleagues, networks, and more to better your skillset