Casual Hourly - Temporary

This position involves using applied statistics, machine learning and efficient algorithms to address fundamental problems in biology and medicine by integrative analysis of multi-dimensional data.

This position is temporary.

• Perform computational biology research for the analysis of genome editing experimental data
• Design of new genome editing experiments
• Prepare presentations
• Assist in preparing research publications about the accomplished research

• Masters or higher degree in computer science, computational biology or related field.
• Programming in R and/or python.
• Practical experiene with algorithm design, applied machine learning and data analysis.
• Knowledge of biological systems and experimental technologies of molecular biology and genome editing.
• Ability to prepare slide presentations, visualize and report results.

Be advised that you will be contacted only if there is further interest in your application. Your candidate dashboard may not display status updates for this requisition. Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.  KNOW YOUR RIGHTS