Computational Biologist

URUS is seeking a Computational Biologist to join our Innovation group as part of the team focused on Genetic Advancement and Trait Discovery. The role is suited for a creative and career motivated individual who brings strong expertise across multiple disciplines of genomics, bioinformatics, and systems biology.

Requirements

• Ph.D. in Computational Biology, Systems Biology, Genome Science, or a related field.
• Deep understanding of genetics, molecular biology, biochemistry, cellular functions, and organismal systems.
• Expertise in probability, statistical modeling, and algorithm design.
• Proficiency in languages like Python (with libraries like Pandas, NumPy, scikit-learn) and R.
• Experience managing bioinformatics pipelines in Unix/Linux environments.
• Strong skills in data mining, machine learning (deep learning, pattern recognition), and biostatistics.
• Ability to manage, integrate, analyze, and visualize large, complex datasets.
• Experience with mathematical modeling of biological processes and molecular dynamics.
• Excellent analytical thinking to translate biological questions into computational problems.
• Communication skills are fluency in English, and ability to explain complex technical findings to both technical and non-technical audiences.