Computational Biologist

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Computational Biologist Job Purpose

We are seeking a talented and motivated individual to join our team as a Principal Scientist in Translational Omics (TO). The successful candidate will have demonstrated experience in diverse data-types e.g. genetics, transcriptomics, histopathology imaging, in state of the art computational biology methods and its application to biological, translational and/or clinical questions in drug discovery and development.

The Principal Scientist will be expected to inform genomics analysis, interpretation and project impact in Hepatology and relevant biology as well as using their knowledge of the internal and external data landscape to address scientific questions. They will be communicating their results and interpretation to peers and leaders. They will have experience working in multi disciplinary teams to answer complex scientific questions.

Key Accountabilities / Responsibilities

• Apply expertise in -omics and imaging and use of relevant state of the art computational methods as well as pertinent knowledge of disease and biology to support the discovery and development of new medicines.
• Generate and evaluate genomic/histopathology imaging evidence to support therapeutic target and/or biomarker hypotheses as well as mechanistic understanding
• Identify and/or evaluate relevant internal and external data sets for analyses.
• Provide clear and concise communication of results and interpretation to peers and leaders.
• Collaborate effectively in multi disciplinary teams to answer complex scientific questions.
• Demonstrate initiative in identifying and implementing creative and state of the art analytical solutions to address challenging scientific questions.
• Work with agility to adapt rapidly to changing priorities and timelines.

Qualifications, Knowledge, Skills and Experience

• Demonstrable translational expertise in Hepatology and MASH, including in vitro, in vivo and in silico work, complemented by a clear understanding of clinical data and disease
• Strong analytical competence and ability to interpret results across multiple data types
• Experience working across academia and industry collaborations
• Effective collaboration with Pathologists and AI based image analysis across platforms (PathAI, HistoIndex and PharmaNEST)
• Demonstrated experience to write R or Python code to impact analyses
• Demonstrated understanding of internal and external data landscape to address and impact a range of scientific questions.
• Excellent communication skills to effectively convey complex scientific concepts to peers and leaders.
• Experience working in multi disciplinary teams to answer scientific questions.
• Proactive and innovative mindset with the ability to identify and implement creative solutions.
• Strong problem solving and analytical skills.
• Ability to work with agility and adapt to changing priorities and timelines.
• Passion for advancing the science of drug target identification and validation.