Computational Biologist

URUS is seeking a Computational Biologist to join their Innovation group in Madison, WI or New Brighton, MN. The successful candidate will lead the integration, analysis, and interpretation of genomic and multi-omics data to identify biological pathways, DNA sequence motifs, or genomic variation for the design of genetic traits that improve cattle breeding systems.

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 (e.g., Next-Gen Sequencing data and other Omics datasets).
• Experience with mathematical modeling of biological processes and molecular dynamics.
• Excellent analytical thinking to translate biological questions into computational problems.
• Ability to explain complex technical findings to both technical and non-technical audiences.

Benefits

• Full-time position
• Opportunity to work with a collaborative environment and interdisciplinary teams
• Chance to contribute to long-term research planning and innovation strategies