Scientist - Bioinformatics/Data Scientist Nodality, Inc.
Nodality, selected as the ?Most Promising Company? at the 2011 Personalized World Medicine Conference, is looking for an individual who is motivated to apply his/her bioinformatics and computer science skills to the high-impact area of personalized medicine. You will be part of a team that is working to make a difference in the lives of patients by probing biology at the deepest levels to individualize medicine.
Our proprietary Single Cell Network Profiling (SCNP) technology quantifies intracellular protein function of individual cells in a high content and high throughput format. We use our robust and reproducible assays to perform drug screening and therapeutic profiling, to quantify intracellular network activation for systems biology research, and to develop highly predictive algorithms for patient stratification and therapeutic treatment selection. This approach allows the interrogation of cell signaling networks and pathways downstream of gene and protein expression, providing an integrated view of disease biology.
In this role, you will make significant contributions to Nodality's research and development team as we design and analyze the high content experiments. You will have the opportunity to work with, and learn from world-class experts in a wide range of disciplines including, biology, computational sciences and translational medicine. You will be intellectually challenged, and have an opportunity to grow your career in a variety of directions.
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
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
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San Francisco, CA 94080