_{07th October, 2025}

Principal Computational Biologist – Real World Data
Cambridge  - Hybrid


Join us in our mission to harness real-world y data and multi-omics insights to accelerate therapeutic discovery and improve patient outcomes globally.

We are seeking a computational biologist to join a cross-functional team dedicated to driving innovation across multiple therapeutic areas. You will play a pivotal role in integrating real-world data (RWD) with advanced analytics to uncover novel biomarkers, therapeutic targets, and resistance mechanisms - directly impacting the future of human health.
  
Key Responsibilities:

• Analyse and interpret clinical real-world  data and multi-omics datasets to uncover insights and inform strategic decision-making.
• Identify relevant patient cohorts for hypothesis validation and support of clinical development programs.
• Design and implement advanced statistical and machine learning/artificial intelligence models for biomarker discovery, therapeutic target identification, and patient stratification.
• Present complex data and insights in a clear and impactful manner to both technical and non-technical stakeholders through reports, visualisations, and presentations.
• Collaborate across disciplines—working closely with biologists, clinicians, and bioinformaticians—to integrate and analyse diverse data types.
• Lead and cultivate scientific collaborations with academic institutions and industry partners.

  
Qualifications:

• Ph.D in Computational Biology, Bioinformatics, or a related life-sciences field.
• Minimum of 3 years’ experience in a biotech or industry setting.
• Proven expertise in handling both real-world patient data and multi-omics data
• Proficient in programming with R or Python; experienced with version control tools such as Git.
• Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication skills, with the ability to clearly convey complex concepts to diverse audiences.

  
Why Join?

• Work on cutting-edge data science challenges that impact real patients.
• Great opportunities to work with world class data
• Personal development opportunities
• Enjoy flexible work arrangements and a supportive environment.

  







keywords: 
bioinformatician / bioinformatics / computational biology / computational biologist / real world data  / RWD / RWE / Real world evidence / pharma / pharmaceutical / drug discovery

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