Senior Product Manager
Machine Learning
Posted on 11/2/2023
INACTIVE
Recursion Pharmaceuticals

501-1,000 employees

Integrating technology to industrialize biopharmaceutical drug discovery
Company Overview
Recursion is a clinical-stage biotechnology company that stands out for its integration of technological advancements across multiple disciplines, including biology, chemistry, automation, data science, and engineering, to industrialize drug discovery. The company's unique approach of creating virtuous cycles of learning around datasets positions it as a leader in building the next-generation biopharmaceutical industry. Furthermore, Recursion's commitment to diversity and inclusion, as evidenced by its emphasis on a wide range of expertise, gender, race, disciplines, experience, and perspectives, fosters a dynamic work culture that is geared towards achieving ambitious goals.
Data & Analytics

Company Stage

IPO

Total Funding

$665.4M

Founded

2013

Headquarters

Salt Lake City, Utah

Growth & Insights
Headcount

6 month growth

1%

1 year growth

15%

2 year growth

48%
Locations
Salt Lake City, UT, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
Data Structures & Algorithms
CategoriesNew
AI & Machine Learning
Data & Analytics
Biology & Biotech
Requirements
  • 3+ years of experience with machine learning products, deploying algorithms at scale in production, and understanding the tradeoffs between generating the right data and generating impact
  • Experience working with medical or biological data, such as patient and in vitro assay data
  • Experience in product management including strategy, planning, prioritizing, building, implementation, and gathering feedback
  • Demonstrated success in delivering novel and complex solutions
  • Understand how to translate between experts in engineering, biology and data science to identify business needs and find solutions
  • Lifelong learner with a creative, collaborative and flexible approach
  • 3+ years of experience with machine learning products, deploying algorithms at scale in production, and understanding the tradeoffs between generating the right data and generating impact
  • Experience working with medical or biological data, such as patient and in vitro assay data
  • Experience in product management including strategy, planning, prioritizing, building, implementation, and gathering feedback
  • Demonstrated success in delivering novel and complex solutions
  • Understand how to translate between experts in engineering, biology and data science to identify business needs and find solutions
  • Lifelong learner with a creative, collaborative and flexible approach
  • Developing: $149,000
  • Skilled: $165,000
  • Expert: $182,000
  • We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work
  • We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress
  • We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover
  • Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking
  • We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team
Responsibilities
  • Guide vision and strategy for complex scientific and technical product opportunities
  • Build machine learning-enabled products to massively scale and automate all early drug discovery at Recursion
  • Develop novel tools, spanning insights across diverse domains in cellular biology, patient information, and medicinal chemistry
  • Coordinate delivery across a cross-disciplinary team of data scientists, biologists, experiment operations experts, and engineers