The Impact You’ll Make

As a key member of Recursion's portfolio-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. You will be the primary computational lead for multiple preclinical or clinical-stage drug programs and can expect the freedom to collaboratively define and execute a research strategy that brings promising discoveries from hit-identification through clinical development. 

You will be responsible for the evaluation of therapeutic hypotheses using internal and external data sources to validate the link between proposed targets and disease biology, guide multimodal SAR, decipher drug mechanism of action, and identify candidate biomarkers to measure in translational and clinical studies. You will partner with machine learning and computational scientists from across the organization to develop, deploy, and scale novel approaches to patient selection and indication expansion that match the medicines we are creating to the patients who need them. 

In this role, you will:

• Design experiments, develop and scale new analysis methods, and drive key program decisions with the ultimate goal of bringing life-changing therapies to patients at unprecedented speed
• Evaluate the molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic, primarily in oncology 
• Architect quantitative analyses and experiment cascades that collect and combine diverse datasets to inform statistically-sound decisions at scale
• Deliver biological insights on therapeutic candidates and disease biology that support stage gate decisions from the analysis of high dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets
• Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients
• 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, platform, ML and clinical 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 deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. You will collaborate extensively with scientists across the organization to advance milestones, provide insights and drive decisions that further advance Recursion’s capabilities and likelihood of success in the clinic. Essential attributes to this role include a bold, execution-first attitude and passion for deploying rigorous science to develop life-changing medicines. Our team collaborates extensively with computational biologists in other therapeutic areas (neurobiology, immunology, etc.) as well as data scientists 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, cancer/cell biology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry solving fundamental problems in oncology or drug discovery OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in oncology or drug discovery
• Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate complex biological and/or human clinical data in a high level programming language such as Python or R
• Experience in efficiently advancing drug programs from hit nomination through proof of concept and into clinical development (or some stages within this range)
• Expertise in the analysis and data integration of one or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics)
• 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:

• Experience analyzing data from imaging-based modalities
• Experience evaluating and prioritizing compounds during SAR and lead optimization cycles
• Experience with IND applications

#LI-LM1

Working Location:

This position is ideally based at one of our offices located in London / New York City / Toronto / Salt Lake City. 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:

• Developing: £90,000 
• Skilled: £100,000 
• Expert: £110,000 

To learn more about our level within levels, click here.

You will also be eligible for bonuses and equity compensation + our comprehensive benefits package for United Kingdom based candidates. The range displayed on each job posting reflects target ranges for UK 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 be your advocate and ally to ensure you receive the appropriate compensation that meets your needs for your skills, experience, and relevant education/training, while also reviewing our very competitive total rewards package.