The Impact You’ll Make

As the Executive Assistant to our CMO (Chief Medical Officer), and other senior leaders, you will support a clinical leadership team driving the development of innovative therapies to get better drugs to patients faster. You will partner closely with the CMO to enable them to operate at maximum effectiveness by managing priorities, streamlining operations, and anticipating needs across a fast-paced, science-driven environment. Your work will directly influence the CMO’s ability to focus on advancing our clinical pipeline, shaping development strategy, and delivering meaningful outcomes for patients.

You’ll play a critical role connecting internal teams, external partners, and clinical stakeholders; ensuring seamless execution across clinical, regulatory, and cross-functional initiatives in the U.S., UK, and Canada. This is a highly impactful position for an experienced professional who thrives on complexity, precision, and bringing structure to dynamic environments - someone who values both strategic alignment and the energy of working alongside a collaborative team. 

In this role you will:

• Manage all aspects of the CMO’s calendar, travel, and communications with discretion and foresight
• Anticipate scheduling conflicts, track key deliverables, and proactively adjust plans in alignment with clinical priorities and development milestones
• Serve as a point of contact for internal and external stakeholders, including clinical, regulatory, and research partners, demonstrating sound judgment and professionalism at all times
• Plan and coordinate internal and external meetings, ensuring high-quality materials and seamless execution across clinical and cross-functional teams
• Arrange detailed domestic and international travel itineraries as needed 
• Partner with internal teams to support clinical leadership activities, advisory boards, investigator meetings, and key scientific engagements
• Maintain confidentiality while ensuring clear and timely information sharing between the CMO, leadership team, and external collaborators

The Team You’ll Join

You will be joining the executive support team at Recursion, working closely with the CMO and partnering with C-level executives across the company. You will collaborate with teams including Clinical Development, Regulatory, Research, People, Finance, Workplace Environment, and Communications.

The executive support team is responsible for enabling our senior leadership team to do their best work and stay focused on advancing Recursion’s mission. 

The Experience You’ll Need

• At least 5+ years of experience as an Executive Assistant supporting C-suite executives, ideally in a public biotech organization 
• Passion for science, innovation, and improving human health, with an appreciation for the clinical development process and the fast-moving world of biotechnology
• Ability to think ahead, anticipate needs, and propose thoughtful solutions - not just execute tasks
• Exceptional organizational, written, and verbal communication skills, with a track record of managing competing priorities gracefully
• Flexibility to adapt in real time, prioritize effectively, and deliver high-quality work in a dynamic environment
• Comfort working across time zones and managing frequent international travel
• Discretion in handling sensitive information and building trusted relationships
• Proficiency in Google Workspace and Slack

Working Location & Compensation:

This is an office-based, hybrid position at our New York City, New York, office. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $108,200 to $136,200 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-DB1

The Impact You’ll Make

Recursion is leading an era of autonomous science – iterating across the discovery process, leveraging machine learning and agents built-for-purpose to uncover novel insights across biology and chemistry, fueling our clinical-stage pipeline. As the Senior Product Manager for Agentic Science, you will sit at the intersection of drug discovery and AI, serving as the critical translator between our scientific teams and the agentic systems they depend on. Your primary focus will be on outcomes: ensuring our agents impact Recursion’s pipeline through demonstrably accelerating discovery.

This role is not about maintaining a static roadmap; it is about navigating the frontier of a rapidly evolving field. You will partner closely with drug discovery scientists to understand their workflows, translate their needs into agent task definitions, and design and maintain the benchmarks that -ensure our agents are driving value. As the field evolves rapidly, you will help the team distinguish real scientific progress from superficially promising results.

In this role, you will:

• Champion Benchmarking for Agentic Science: Drive alignment across scientific and technical teams around evaluation frameworks that measure agent performance against scientifically meaningful outcomes, continuously refining them as the field evolves.
• Drive Outcome-Focused Product Development: Keep the team anchored to what matters: building agents that meaningfully advance drug discovery programs, not just executing tasks.
• Evangelize the "Human-in-the-loop" Evolution: Work with scientific stakeholders to define interfaces where humans review, validate, and shape agent reasoning, ensuring our scientists evolve from "operators" to "architects" of discovery.
• Monitor the Competitive Benchmark Landscape: Track how leading organizations across pharma AI, biotech, and foundation model research are measuring agentic performance. Ensure Recursion's evaluation frameworks stay calibrated against external standards, so our benchmarks reflect genuine scientific progress rather than internally optimized metrics.

The Team You’ll Join 

You will join a cross-functional team of software engineers, data scientists, AI/ML scientists and drug discovery biologists and chemists who build the technical bedrock that enables autonomous science, including agent orchestration, guardrails, and the connectivity between our digital and physical assets. You will work closely with the Discovery teams (the users of these agents), the AI Research teams (who build cutting-edge models), and our automated biology and chemistry lab teams (who generate the data that feeds into the models).

The Experience You’ll Need

• Background in Drug Discovery or AI-driven Science: You have direct experience working in drug discovery, biotech, or AI-driven scientific research. Ideally, you will have worked hands-on with agentic systems (or agents) in a scientific context. You can credibly partner with PhD-level scientists and translate between scientific goals and technical systems without losing fidelity on either side.
• Fluency in Modern AI: You don't need to be an engineer, but you follow the AI landscape closely and understand how LLMs and agentic systems actually work in practice. Bonus points if you've benchmarked an agent(s) or worked hands-on with agentic tools, even outside a formal work context.
• Experimentation-First Mindset: You have a natural instinct for working through rapid prototyping cycles, whether in a product, research, or scientific context. You'd rather run a quick experiment than write a long spec.
• Systems Thinking: You can hold the big picture in mind while working in the details. You think naturally about how multiple agents interact, where they hand off to each other, and where humans need to be in the loop to catch errors, validate outputs, or make judgment calls that agents can't.

Communication & Influence: Strong written and oral skills to align diverse stakeholders (PhDs in Biology, ML and software engineers, AI Researchers) around a unified technical vision.

Working Location & Compensation:

This is an office-based, hybrid position at one of our offices in either Salt Lake City, Utah or New York City, New York. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $142,500 - $220,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

The Team You’ll Join 

As part of Recursion's Value Tech Tooling Team, you will be at the forefront of reimagining drug discovery from first principles using our massive data capabilities. You'll work in a cross-functional team of world-class computational biologists and engineers who turn complex analyses and data workflows into stable tools and pipelines that multiply their impact and industrialise the discovery process across a wide array of therapeutic areas. You'll partner with biologists, medicinal chemists, engineers, data scientists, ML scientists, and to design experiments, develop new methods, build scalable data workflows, analyse results, and identify common themes across programs. As our toolbox grows and evolves, it will contribute to a revolution in drug discovery to bring life-changing therapeutics to patients at greater speed and with higher quality, safety and efficacy than ever before.

In this role, you will:

• Synthesize, integrate, and analyse diverse internal and external datasets from computational biology, target discovery, functional genomics, biomarker discovery, and real-world and clinically derived data sources, and identify commonalities to turn into reusable tools and pipelines.
• Build, maintain, and improve robust data pipelines and analytical workflows for complex biological datasets, including omics data, internally generated biological assay data, and external data sources such as Tempus and other real-world datasets.
• Develop and apply agentic workflows to integrate and orchestrate analyses across multiple internal and external data sources, accelerating insight generation and supporting scalable decision-making across drug discovery programs.
• Partner with engineers to mature pilot tooling and workflows into stable products and infrastructure that multiply the effectiveness of scientific collaborators pursuing drug programs.
• Present and discuss data, pipelines, and tools with decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients.
• Collaborate cross-functionally with Recursion’s platform data science, data engineering, and ML teams to further advance Recursion’s ability to interpret and translate large-scale phenomics and multimodal data into therapeutic programs.

The Experience You’ll Need

• PhD in a relevant field (e.g., computational biology, bioinformatics, statistics, quantitative pharmacology, cancer/cell biology, computer science, or a related discipline), or equivalent experience, with a track record of applying these skills to fundamental problems in drug discovery.
• Experience applying computational methods (including statistical, probabilistic, and/or machine learning techniques) to analyse complex biological and/or human clinical data.
• Experience building, maintaining, and improving reproducible data pipelines and analytical workflows for large, heterogeneous biological datasets (Python strongly preferred).
• Experience working with high-dimensional biological datasets, including omics data (e.g., single-cell and other genomics-based modalities) and/or other complex assay modalities.
• Experience turning exploratory analyses into reusable tools, workflows, and documentation that can be adopted by other scientists/teams.
• General understanding of drug discovery and translational biology.

Nice To Have

• Experience working on highly collaborative cross-functional teams; ability to clearly explain computational analyses, data workflows, and methodologies to cross-functional and non-technical teams.
• Hands-on experience working with real-world clinical datasets (EHR/claims/registries) and/or generating real-world evidence (cohorting, endpoint definition, observational study considerations).
• Experience with real-world clinical datasets (e.g., EHR-derived oncology datasets) or demonstrated ability to rapidly learn new healthcare data modalities; experience with Tempus or similar datasets is a plus.
• Experience integrating multimodal datasets (e.g., genomics + phenomics, genomics + imaging) in service of translational decisions.
• Experience developing or applying agentic workflows to orchestrate analyses across multiple internal and external data sources, accelerating insight generation and decision-making

Working Location & Compensation:

This is an office-based, hybrid position at our office located in London, England. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £86,300 - £115,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning 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, chemistry and patient-centric data to advance the future of medicine.

In this role, you will:

• Build, scale, and operate in a validated data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery.
• Engineer Data Integrity and Traceability: You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet.
• Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion.

The Team You’ll Join

• You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines.

Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus.

Working Location & Compensation:

This is an office-based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning 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, chemistry and patient-centric data to advance the future of medicine.

In this role, you will:

• Build, scale, and operate in a validated data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery.
• Engineer Data Integrity and Traceability: You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet.
• Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion.

The Team You’ll Join

• You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines.

Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus.

Working Location & Compensation:

This is an office-based, hybrid position at either of our US offices located in Salt Lake City, Utah or New York City, New York. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $142,500 - $220,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning 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, chemistry and patient-centric data to advance the future of medicine.

In this role, you will:

• Build, scale, and operate a data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform that allows users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions compounds, petabytes of cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery.
• Build relatability into a heterogeneous dataset. At Recursion, we generate datasets based on a wide swath of diverse biological models and treatment approaches. You'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet.
• Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion.

The Team You’ll Join

• You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines.

The Experience You’ll Need

• 5+ years of deep experience in modern, cloud-based data engineering. You have a proven track record of building and maintaining robust platforms that enable the discovery, query, and processing of large-scale datasets.
• Expertise in Core Technologies (Mandatory): You possess advanced proficiency in Python and SQL and experience with Containerization (Docker, Kubernetes), Infrastructure as Code (Terraform, etc.), and Agentic Development (Cursor, Claude, etc.)
• Data Fundamentals & Architecture: You have a deep understanding of Relational Databases (Postgres, MySql, etc.) and are proficient in working with data container files (e.g., Parquet, Avro, etc.). You are familiar with Medallion Architecture (Bronze/Silver/Gold) and know how to apply its principles to build scalable, reliable data products.
• Cloud & Platform Operations: You are seasoned in at least one major cloud provider (GCP, AWS, or Azure). You are comfortable in a "DevOps" capacity—specifically managing the infrastructure and tools that empower other engineers to run their pipelines, rather than focusing solely on building ETL flows.
• Hands-On: You understand the trade-offs between different architectures (Data Lake vs. Warehouse) and can make high-level decisions regarding CI/CD and system maintenance. Crucially, you are a "doer" who enjoys getting into the weeds of implementation, not only designing the blueprint.
• Collaborative Problem Solver: You thrive in environments with significant technical ambiguity. You can navigate complex systems and diverse technologies to deliver solutions that are easily monitored, quantified, and understood in production.
• People-First Mindset: You prioritize supporting your coworkers’ growth. We value a culture where meeting deadlines never comes at the expense of being a helpful, empathetic teammate.
• Intellectual Curiosity: While a background in drug discovery, biology, or chemistry isn't required, a drive to learn the domain and explore new technologies is essential!

• Cloud: Google Cloud Platform (GCP), GCS, Pub/Sub.
• Tools: dbt, Prefect, Argo Workflows, BigQuery, Snowflake, Fivetran, Datastream, AI/LLM (Cursor, Claude Code, and Gemini available).
• Infrastructure: Kubernetes, PostgreSQL, CI/CD (Argo).

Working Location & Compensation:

This position can be based at either our London or Milton Park office. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.

#LI-EP1

The Impact You’ll Make

As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data and compute capabilities. As senior computational biologist, you will be supporting a portfolio of partnership preclinical drug programs and be responsible for designing and executing analyses to support target nomination, validation, and early programs in neuroscience diseases.

You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose targets and early programs in novel areas of neuroscience. You will partner with biologists and medicinal chemists to build supporting data packets for targets from our phenomic maps, target screens, and partnered patient data sets. You will also collaborate with computational scientists from across the organization to develop, deploy, and scale novel approaches to: 1) translational validation in hit to lead, 2) mechanism-of-action identification/de-risking, and 3) build evidence for patient connectivity to match the targets we are validating and medicines we are creating to the patients who need them.  

In this role, you will:

• Deliver biological insights on therapeutic candidates and disease biology from the analysis of high-dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning
• Evaluate the biological and molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic
• Synthesize diverse datasets (internal and external) to generate and evaluate hypotheses for drug discovery, biomarker development, mechanism of action and target population identification
• Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients
• Assess new data sources, develop and scale new analysis methods, and support key program decisions with the ultimate goal of bringing life-changing therapies to patients at unprecedented speed
• Industrialize analysis approaches to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have
• Collaborate cross-functionally with Recursion’s data science, biology, medicinal chemistry, and  platform, teams to further advance Recursion’s ability to interpret and translate large-scale data assets into therapeutic programs

The Team You’ll Join 

Our group is a bold, agile, diverse collective of computational drug discovery scientists and data scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. We are a computational group that spans precision oncology, neuroscience, and I&I (immunology and inflammation), and focuses on advancing novel, targeted therapies for these disease areas. We partner closely with our biologists and medicinal chemists to design and execute impactful and decisional data analysis for multiple programs. We are responsible for data strategy across the portfolio and supported by computational leadership in designing scalable and reproducible experiments that serve to advance multiple programs within the portfolio. 

Our team collaborates extensively with computational biologists in other therapeutic areas (immunology, oncology, etc.) as well as data scientists and engineers from our core platform teams to provide a strong network of feedback and support. 

The Experience You’ll Need

• PhD in a relevant field (computational biology, systems biology, bioinformatics, neuroscience, etc.) with a very strong computational focus and 5+ years of experience in biotech or pharma industry OR MS in a relevant field
• Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate matched human clinical and molecular data in a high-level programming language such as Python or R
• Deep expertise in the analysis and data integration of one or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics) and/or human clinical data
• Exceptional data visualization skills
• Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations

Nice To Have:

• Strong understanding of patient genetics and historical druggability of disease-relevant pathways,  including experience working with patient data
• Experience in efficiently advancing drug programs from proof of concept and into clinical development
• Experience with neuroscience clinical trial biomarker analysis
• Experience working as part of partnerships or client facing (consulting) teams

Working Location & Compensation:

This is an office-based, hybrid role in either our Salt Lake City or New York City offices. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 to $253,100. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

The Impact You’ll Make

At Recursion, we are reimagining drug discovery through a powerful synthesis of AI, automation, and deep scientific expertise. In this role, you will be the bridge between complex chemical data and the strategic systems that power our discovery programs. Your primary focus will be building the tools and infrastructure that support our computational designers and medicinal chemists in making data-driven decisions for the next steps in discovery programs. You will expose analytics that help us further automate the platform by closing the Design-Make-Test-Learn (DMTL) loop to accelerate the design process.

You will have high-level ownership of our analytical ecosystem—including the Spotfire library, data schemas, and automation services—transforming complex datasets into directed platform improvements. You will be at the center of our DMTL loop, creating the tools that empower our scientists to design novel, high-quality drug candidates with unparalleled speed and precision. Your work will directly accelerate our portfolio, drive our partnerships, and contribute to our mission of decoding biology to radically improve lives.

In this role, you will:

• Build and maintain integrated project dashboards that serve as a core resource for design teams by syncing assay results with cross-functional portfolio data.
• Code and manage robust repositories for Spotfire automation and BigQuery integration to streamline the flow of data across the discovery lifecycle.
• Design and evolve metrics and predictive modeling workflows that inform "next-best" design recommendations and track project progress through the discovery lifecycle.
• Create automated reporting pipelines to proactively surface critical signals, ensuring project teams can take timely action on new scientific data.
• Collaborate cross-functionally to translate strategic objectives into scalable analytical tools, using adoption metrics to prioritize features that deliver the greatest impact.
• Define and analyze metrics for product success, tool adoption, and scientific impact to ensure teams are focused on critical priorities for accelerating drug discovery.
• Identify and innovate on gaps in analytics maturity, taking responsibility for implementing solutions that modernize how our scientists interact with data.
• Contribute to the development of Agentic AI systems that leverage our data infrastructure to automate and enhance the understanding of Structure-Activity Relationships (SAR).

The Team You’ll Join 

You will be a core member of the Design Workflow team, an interdisciplinary group responsible for the end-to-end development and operation of our molecular design platform. We are the orchestration engine for the Hit-to-Lead (H2L) and Lead Optimization (LO) phases of drug discovery. Our team embodies a “Build & Operate” philosophy, intentionally integrating the development of the Recursion OS with its direct application in advancing our portfolio.

The Experience You’ll Need

• Expert-level proficiency in TIBCO Spotfire development, including experience managing automation services and measuring tool adoption through action logs.
• Advanced engineering foundation in Python, BigQuery, and Prefect, with a track record of maintaining production-level repositories via Git.
• Experience in a major cloud provider (Google Cloud Platform preferred) to support scalable data infrastructure.
• Scientific domain knowledge of the drug discovery lifecycle and the specific data products required to support end-to-end chemist workflows.
• Proven ability to synthesize data from multiple domains—such as lab informatics, chemistry, and portfolio management—into clear, execution-ready recommendations.
• Exceptional systems-thinking and communication skills, with the ability to deconstruct complex scientific workflows and identify key leverage points.
• Practical experience with AI/ML frameworks applied to drug discovery and the development of agentic systems to automate complex scientific reasoning and SAR analysis.
• Degree in a relevant field (Chemistry, Cheminformatics, Engineering, or Computer Science) with significant professional experience in a biotech or pharmaceutical R&D setting.

Working Location & Compensation:

This is an office-based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1