BACKGROUND

RESPONSIBILITIES

• Work closely on a team with research biologists, instrumentation experts, biostatisticians, clinical scientists, and computational scientists
• Perform a variety of data analysis tasks ranging from exploratory to development of prediction algorithms by employing appropriate statistical and machine learning techniques
• Contribute to design of research studies, development of protocols, and report preparation
• Explore, implement, and evaluate novel quantitative metrics and data analysis methods for interpretation of biological experiments and process improvement
• 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 pro-active
• Demonstrated ability to multi-task 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
• Programming experience in Windows and Linux environments with a strong preference for Python proficiency
• Able 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

LOCALE

HOW TO APPLY