Computational Biologist

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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.

How to apply

We welcome applications from people with different backgrounds and experiences. If this role speaks to you, please apply and tell us briefly how your skills and experience match the responsibilities and qualifications listed. We look forward to hearing from you.

Closing Date for Applications – 20/05/2026