URUS is seeking a Computational Biologist to join our Innovation group as part of the team focused on Genetic Advancement and Trait Discovery. This 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
- Excellent analytical thinking to translate biological questions into computational problems
- Fluency in English
- Ability to explain complex technical findings to both technical and non-technical audiences
- Strategic planning for innovation
- Originality and creativity
Benefits
- Comprehensive benefits package
- Generous Paid Time Off
- 401k Matching