Associate Director of Computational Biology (2024)

Your work will change lives. Including your own.

The Impact You’ll Make

As the lead of Recursion's Value Hub Tooling team, you will be at the forefront of reimagining drug discovery from first principles using our massive data capabilities. You'll help build and lead a team of world-class computational biologists and engineers who will turn complex analyses into stable tools to multiply their impact and industrialise the discovery process across a wide array of therapeutic areas. You'll partner with biologists, experimentalists, medicinal chemists, DMPK and ADME experts, data scientists and ML scientists to design experiments, develop new methods, 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.

• Build a new world-class cross functional team in London with a diverse set of backgrounds including computational biology and engineering
• Lead your team to analyse diverse datasets (internal and external) from comp bio, med chem, target id, SAR, DMPK, ADMET, biomarker discovery, etc. across a portfolio of drug programs and identify commonalities to turn into reusable tools
• Collaborate cross-functionally with Recursion’s engineering, data science and ML platform teams to advance tooling to more stable infrastructure
• Present and discuss data and tools with decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients

Location:

This position is based at our office in Kings Cross London, United Kingdom.

The Team You’ll Join

You'll report through our data science organisation, an interdisciplinary group powered by machine learning and inference-based discovery of drug programs from first principles. Your team will initially consist of ~6 computational biologists and engineers, but may evolve over time. Close collaboration between computational biologists across multiple therapeutic areas (primarily oncology) and with data scientists on the core build teams will provide a strong network of feedback and support in setting timelines, refining ideas, automating repetitive workflows, piloting, productionalizing and more. You will collaborate extensively with data scientists, chemists, engineers, commercial strategists, and biologists throughout the organisation to advance milestones and provide insights to further advance Recursion’s capabilities. Essential attributes to this role include a bold, execution-first attitude and passion for deploying rigorous science to bring life-changing therapies to patients.

The Experience You’ll Need

• PhD in a relevant field (computational biology, bioinformatics, statistics, quantitative pharmacology, cancer/cell biology, etc.) with 5+ years of experience applying professional competencies to fundamental problems in oncology or drug discovery
• Leadership experience managing cross-functional teams of 5+ people and a passion for growing diverse talent through mentorship, sponsorship and advocacy. Individuals with experience in software engineering and/or managing engineers will be given preference
• Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyse complex biological and/or human clinical data
• Fluency and experience working with high-level programming languages for complex data analysis (Python strongly preferred)
• General understanding of small molecule drug discovery and pharmacology
• A passion for acting boldly in highly collaborative, cross-functional teams to identify and answer killer questions
• Ability to clearly explain computational analyses and methodologies through compelling visualisations, documentation and presentations to stakeholders and non-technical teams

Nice To Have:

• Experience designing high-throughput experiments to address biological questions, either on your own or in collaboration with bench scientists
• Experience analysing data from imaging- and/or genomics-based modalities
• Experience evaluating and prioritising compounds during SAR and lead optimization cycles

How You’ll be Supported

• Peer mentor for onboarding during the first 90 days
• Training on Recursion’s culture and values and our drug discovery & development processes to provide insight to our unique approach and strategy for success
• Regular 1:1s with supervisor and colleagues provide opportunities for support and feedback
• Support to attend conferences and workshops at least once a year
• Leadership and mentorship training and coaching from internal and third-party sources
• A generous benefits package and perks like lunch stipends

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 inSalt Lake City, where it is a founding member ofBioHive, the Utah life sciences industry collective. Recursion also has offices in London, Toronto, Montreal and the San Francisco Bay Area. Learn more atwww.Recursion.com, or connect onX(formerly Twitter) andLinkedIn.

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.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.