Recursion

About the Company

Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world’s largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning and AI algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale — up to millions of wet lab experiments weekly — and massive computational scale — owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Montréal, New York, London, and the Oxford area. Learn more at www.Recursion.com, or connect on X (formerly Twitter) and LinkedIn.

Listed Jobs

Company Name

Recursion

Job Title

ML Intern, Research

Job Description

**Job title** ML Intern – Research (Drug Discovery) **Role Summary** Intern contributes to AI system development for drug discovery, focusing on multi‑omic foundation models, advanced structural biology methods, and autonomous science frameworks. Work includes designing, implementing, and deploying scalable machine‑learning solutions, collaborating with cross‑disciplinary scientists, and communicating results through talks, blog posts, and publications. **Expectations** - Hold a current PhD, post‑doctoral, or master’s program in computer science, data science, or a related field. - Demonstrate strong programming proficiency in Python and modern software practices. - Build and deploy high‑performance deep‑learning algorithms at scale. - Design new architectures, conduct experimentation, analyze results, and visualize insights. - Translate research papers into working models and summarize scientific content. - Show enthusiasm for applying ML to real‑world drug‑discovery challenges. **Key Responsibilities** - Support Valence Labs’ core research initiatives in ML for drug discovery. - Develop and refine novel machine‑learning methods to accelerate pharmaceutical development. - Collaborate with both dry‑lab and wet‑lab scientific teams to guide model design and integration. - Present research findings through talks, blog posts, peer‑reviewed conference submissions, and other publication venues. **Required Skills** - Advanced programming in Python, including use of deep‑learning libraries (PyTorch, TensorFlow). - Experience building distributed, high‑performance ML systems. - Proficiency in linear algebra, calculus, and statistics. - Strong analytical and problem‑solving abilities. - Ability to communicate complex technical concepts to multidisciplinary audiences. **Required Education & Certifications** - Enrollment in or completion of a PhD, post‑doctoral fellowship, or master’s degree program in computer science, computational biology, data science, or a closely related field. - (Optional) Peer‑reviewed publication in a top ML conference such as NeurIPS, ICML, or ICLR.

Montréal-ouest, Canada

On site

Fresher

25-12-2025

Company Name

Recursion

Job Title

Senior Research Scientist, Primary Pharmacology (18-month FTC)

Job Description

Job Title: Senior Research Scientist, Primary Pharmacology (18‑month FTC) Role Summary: Lead the design, development, and optimization of cell‑based and biochemical assays that support small‑molecule drug discovery. Utilize technologies such as FRET, luminescence, flow cytometry (FACS), imaging, and automation to generate high‑quality, decision‑making data for cross‑functional teams in a fast‑paced pharmaceutical environment. Expectations: - Complete all work within an 18‑month fixed‑term contract. - Deliver robust, fit‑for‑purpose assays with strict quality control. - Adopt and evaluate emerging assay technologies. - Produce timely, actionable data to inform drug‑discovery decisions. Key Responsibilities: - Design and develop cell‑based and biochemical assays for compound characterization. - Perform proliferation, cell‑binding, target‑engagement, cytokine‑release, and tumor‑killing assays using plate‑based formats. - Apply high‑throughput screening techniques, generate dose‑response curves, and analyze screening data. - Validate new assay platforms (FRET, flow cytometry, imaging) and integrate them into workflows. - Ensure sterile techniques, accurate cell culturing, and data integrity. - Prepare and present assay data reports for project meetings. - Collaborate with target validation, medicinal chemistry, and data science teams to advance discovery programs. Required Skills: - Proficiency in sterile cell culture and aseptic techniques. - Extensive experience in in‑vitro assay development and optimization. - Hands‑on knowledge of plate‑based functional assays (proliferation, binding, etc.). - Familiarity with FRET, flow cytometry, imaging, and luminescence technologies. - Competence in small‑molecule high‑throughput screening and dose‑response analysis. - Strong analytical mindset, meticulous data quality focus, and problem‑solving ability. - Capable of working effectively in a dynamic, cross‑functional environment. - Excellent written and verbal communication skills. Required Education & Certifications: - BSc, MSc, or PhD in Oncology, Biology, Pharmacology, or a closely related discipline. - Minimum 4 years of pharmaceutical/biotechnology industry experience.

Oxford, United kingdom

On site

Senior

10-03-2026