Full-Time

Vice President

Translational Data Science/Computational Biology

Posted on 11/19/2024

Recursion Pharmaceuticals

Recursion Pharmaceuticals

501-1,000 employees

Clinical-stage biotechnology company for drug discovery

Data & Analytics

Compensation Overview

£220k - £268kAnnually

Senior, Expert

London, UK

Hybrid work model with ~50% travel required for remote employees.

Category
Computational Biology
Data Science
Biology & Biotech
Data & Analytics
Required Skills
Data Structures & Algorithms
Requirements
  • 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
Responsibilities
  • 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
  • Integrate 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
  • Lead 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
  • Drive the development and implementation of new computational tools including ML/DS approaches, algorithms, and methodologies
  • Drive the integration of patient genetic and biomarker data collected in Recursion’s clinical trials to enable reverse translation, bridging clinical insights back into discovery programs. Be a key member to contribute to strategy for data and diagnostic partnerships in support of the Recursion OS and clinical portfolio
  • Collaborate closely with leaders in discovery biology, chemistry, and clinical sciences to accelerate the translation of data-driven insights into tangible therapeutic advancements
  • Establish strong cross-functional partnerships to ensure that computational biology efforts are deeply integrated into the therapeutic area strategies
  • Guide teams of computational biologists and data scientists in executing the above strategy to industrialize the process of turning maps into medicines
  • 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
Recursion Pharmaceuticals

Recursion Pharmaceuticals

View

Recursion is a clinical-stage biotechnology company utilizing a synchronized combination of hardware, software, and data to industrialize drug discovery and decode complex biology, reshaping the traditional drug discovery funnel through technological innovations. Their approach integrates biology, chemistry, automation, and data science to build a next-generation biopharmaceutical company.

Company Stage

IPO

Total Funding

$764.1M

Headquarters

Salt Lake City, Utah

Founded

2013

Growth & Insights
Headcount

6 month growth

1%

1 year growth

1%

2 year growth

17%