• Design, develop, and utilize computational methods to mine high-dimensional data and genomic databanks, such as the UK Biobank.
• Integrate multi-omic (genomic, transcriptomic, proteomic) data using machine-learning frameworks and perform advanced statistical analyses to identify and prioritize novel therapeutic targets.
• Collaborate closely with biologists, clinical researchers, and various experts.
Computational Biology Scientist
Dexoligo Therapeutics
- posted:
About the company:
Dexoligo Therapeutics, a division of Dexcel Pharma Technologies, is at the forefront of developing nucleic acid-based therapies. We are seeking an outstanding individual to join our growing computational biology team, to tackle the challenge of identifying high-quality gene targets by mining extensive genetic datasets, such as the UK Biobank, and by applying machine-learning approaches for target prioritization. This role offers a rare chance to engage in a dynamic, interdisciplinary environment, with opportunities to impact the development of potentially revolutionizing therapies.
Job description:
Required qualifications:
• PhD in Computational Biology, Statistical Genetics, or a related field (or MSc with 3+ years industry experience)
• Experience in analysis of multidimensional biological data, preferably involving large biobanks
• Strong statistical analysis skills in Python or R
• Pharmaceutical or biotech experience – a major advantage
• Familiarity with drug target discovery processes – a major advantage
• Deep understanding of statistical genetics (GWAS, RVAS, QTLs) – a major advantage
• Experience with machine learning and deep learning methods – a major advantage
• Knowledge of Mendelian Randomization and causal inference – an advantage
• Post-doctorate in related fields – an advantage
Individual Profile:
• Team player with clear, open communication
• Independent, self-motivated and rigorous
• A positive attitude, curiosity and desire to learn new skills
• Passion for medicine and desire to make a positive impact
Job location
Tel Aviv (hybrid work)