Your work will change lives. Including your own.
The Impact You’ll Make
As part of Recursion’s neuroscience computational biology team, you will be at the forefront of reimagining neuroscience drug discovery using Recursion’s massive data capabilities. As Recursion continues to grow our work in neuroscience, together with our external partners, you will have the opportunity to help chart that path. Working alongside world-class biologists, medicinal chemists, engineers, data scientists and ML scientists, you’ll analyze and interpret results, combine multiple datasets to drive insights, train ML models and industrialize approaches to inform key program decisions, with the ultimate goal of bringing life-changing therapeutics to patients living with neurological or neurodegenerative disease.
In this role, you will:
- Synthesize diverse datasets (internal and external) to generate and evaluate hypotheses for drug discovery, biomarker development, and mechanism of action
- Interpret and discuss data and analysis results with project leadership in a clear and compelling way that drives toward getting medicines to patients
- Design analyses and experiment cascades to collect and combine diverse data that inform statistically-sound decisions weighing risks and benefits
- Train Machine Learning models for in silico experiments to create virtuous cycles in order to validate and prioritise decisions and insights in the partnership
- Industrialize approaches and analyses 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 and ML teams to further advance Recursion’s ability to interpret and translate large-scale phenomics data into therapeutic programs
The Team You’ll Join
Reporting to the Principal Data Scientist, you will join a group of data scientists and computational biologists that collaborate with an interdisciplinary collective of biological, computational, drug discovery, and data/machine learning scientists. Our team focus is to leverage our unique combined skillset of scientific and domain expertise together with data analysis and insight generation to drive data-driven decisions in the partnership. To achieve this, we work with many different types of data, understand deeply how they are generated, and design the best analyses to answer key questions in the partnership. These analyses range from data visualizations to ML models to rank and prioritize targets, compounds or programs, hence we aim for code replicability and standardization to scale our approach.
The Experience You’ll Need
- PhD in a relevant field (statistics, mathematics, computer science, machine learning, etc.) and 2+ years of experience or MS in a relevant field and 3+ years of experience.
- Ability to build, test and deploy predictive data models.
- Exceptional data visualization skills through creation of plots, documentation and presentations and ability to clearly explain computational analyses and methodologies to cross-functional and non-technical teams.
- Fluency and experience working with Python and following best software development practices.
- Extensive experience in building and deploying analytical pipelines leveraging tools like Kedro, Prefect or Airflow
- Experience in biology and/or drug discovery and ideally applying computational methods to analyze complex biological (images, proteomics, transcriptomics, GWAS, genomics, etc.) and/or human clinical data.
Working Location:
This position is based at our office located in London, UK. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office.
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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.
The Values That We Hope You Share:
- 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.
Recursion spends time and energy connecting every aspect of work to these values. They aren’t static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work. You can read more about our values and how we live them every day here.
More About Recursion
Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological and chemical 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 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 London, Toronto, Montreal and the San Francisco Bay Area. Learn more at www.Recursion.com, or connect on X (formerly Twitter) and LinkedIn.
Recursion is an Equal Opportunity Employer that values diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.
Recursion welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
