BACKGROUND

RESPONSIBILITIES

• Work closely on a team with research biologists, instrumentation experts, biostatisticians, clinical scientists, and computational scientists
• Work with biologists to design experiments to answer complex biological and clinical questions in oncology, autoimmunity, and immunology
• Use your programming skills to efficiently manage experimental data and data workflows
• Perform a variety of data analysis tasks ranging from exploring biology to developing predictive models by employing appropriate statistical and machine learning techniques and communicate those results to team members
• Contribute to developing of protocols and preparing reports
• Explore, implement, and evaluate novel quantitative metrics and data analysis methods for interpreting biological experiments and improving processes
• Present proposals and findings to team members, and management

REQUIREMENTS

• Very strong interpersonal skills and a track record of success in team-oriented environments
• Excellent verbal and written communication skills
• A PhD with strong background in computational biology, biostatistics, bioinformatics, computer science or related field
• Post-doctoral experience in an industrial setting a plus
• Demonstrated willingness to be hands-on and proactive
• Demonstrated ability to multitask while maintaining accuracy and attention to detail
• Knowledge of a wide range of statistical and machine learning techniques is a plus
• Proficiency with popular statistical packages such as R, SAS, and JMP
• Proficiency with Python
• Understanding of relational database systems
• Programming experience in Windows and Linux environments
• Ability to work effectively with internal and external colleagues and collaborators, both academic and industrial
• Proficiency in Microsoft Office tools
• Knowledge of multicolor flow cytometry a definite plus
• Knowledge of programming languages C# and/or C++ is a plus

ABOUT US

LOCALE

HOW TO APPLY

POLICY