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Leading Translational Data Science

1 month ago

London, Greater London, United Kingdom Recursion Full time

About the Role

We are seeking an exceptional Translational Data Science & Computational Biology Vice President to join our leadership team at Recursion. In this critical role, you will drive the development and implementation of cutting-edge computational biology approaches to transform drug discovery and development.

The Industrialization of Program Initiation

You will lead the strategy and execution to industrialize the process of identifying diseases and patient populations through novel gene-compound inferences informed by population-scale forward genetics and genome-scale reverse genetics data. This involves integrating advanced machine learning methods to connect genetic insights across monogenic and polygenic conditions, ensuring that these discoveries are translated into actionable strategies for patient stratification, clinical trial design, and regulatory engagement across the entire drug development lifecycle.

Precision Medicine Solutions

You will develop and implement patient stratification/precision medicine solutions in clinical development leveraging multi-omics and clinical data and well versed in regulatory considerations. This includes leading the strategy and implementation efforts to identify optimal disease and patient linkages to our -omics phenotypes, along with the discovery and validation of translational biomarkers and patient selection solutions to drive precision medicine for our therapeutic programs.

Team Leadership & Collaboration

You will guide teams of computational biologists and data scientists in executing the above strategy to industrialize the process of turning maps into medicines. Additionally, you will recruit, mentor, and manage high-performing teams of computational biologists and data scientists working in our therapeutic areas (oncology, neuroscience, and more) as well as on pan-therapeutic area initiatives, including genetics work.

What You'll Need

  • 7+ years applying expertise in computational biology leveraging the latest techniques in ML across drug discovery and development. Key areas of prior experience include addressing problems in functional and statistical genetics with high-dimensional -omics data, particularly aimed at problems in target identification, mechanistic fine-mapping, as well as biomarker identification and development in precision medicine to enable patient stratification and response prediction.
  • A track-record for pairing large-scale patient/population datasets in a closed loop with high-throughput in vitro functional genomics and machine learning to transform the process of identifying targets, models, and biomarkers with patient connectivity and validity.
  • Experience in developing and implementing patient stratification / precision medicine solutions in clinical development leveraging multi-omics and clinical data and well versed in regulatory considerations.
  • Experience hiring, managing, and mentoring multiple teams engaged in drug discovery activities in a matrixed environment.
  • Curiosity and the professional skill-set to excel in an open, highly collaborative, and growth-oriented environment.

Compensation Package

We offer a competitive compensation package, which includes an estimated annual base salary range of £220,000-£268,000, depending on experience. In addition, you will be eligible for bonuses and equity compensation, as well as our comprehensive benefits package.