Computational Biologist & Engineer in Genomics (Engreitz Lab, Research Data Analyst 1)

$66,560 - $97,000/Yr

Stanford University - Stanford, CA

Full-time - Entry Level

Stanford, CA

Educational Services

About the position

The Department of Genetics is seeking a computational biologist (Research Data Analyst 1) to join the Engreitz Laboratory. The role focuses on mapping the regulatory wiring of the human genome to uncover genetic mechanisms of heart diseases. The successful candidate will engage in innovative projects that combine experimental and computational genomics, biochemistry, and human genetics, contributing to the understanding of gene regulation and the genetic basis of heart disease.

Responsibilities

• Collaborate with experimentalists and computational biologists to develop and apply functional genomics techniques to understand gene regulation and the genetic basis of heart disease.
• Design and implement generalizable algorithms and tools for analysis of biological data, including high-throughput functional genomics assays.
• Evaluate and recommend new emerging technologies, approaches, and problems.
• Create scientifically rigorous visualizations, communications, and presentations of results.
• Contribute to generation of protocols, publications, and intellectual property.
• Maintain and organize computational infrastructure and resources.

Requirements

• Bachelor's degree or a combination of education and relevant experience.
• Experience in a quantitative discipline such as economics, finance, statistics or engineering.
• Knowledge of Unix, programming, and data analysis tools (Python, R, or equivalent).
• Substantial experience with MS Office and analytical programs.
• Strong writing and analytical skills.
• Ability to prioritize workload.

Nice-to-haves

• B.S. in computational biology, computer science, physics, statistics, math, molecular biology, or related field.
• Experience in collaborative software development and relevant platforms.
• Demonstrated expertise in software engineering and/or statistical methods in data analysis, preferably with applications to high-throughput sequencing or other biological assays.
• Enthusiasm for using computational approaches to learn fundamental mechanisms of gene regulation and understand human disease.
• Excellent communication, organization, and time management skills.

Benefits

• Comprehensive rewards package including health insurance, retirement plans, and paid time off.
• Access to cutting-edge technologies and scientific thought.
• Opportunities for professional development and recognition of scientific contributions.