summary

Responsible for data analysis and archival strategies and activities to support R&D programs and product development.  Investigates the feasibility of applying a wide variety of statistical and computational techniques to potential inventions, products, and problems.  Maintains broad knowledge of state-of-the art principles and theories.  Makes creative and effective contributions to scientific partnerships, collaborations, literature, and conferences.  Participates in development of patent applications.  Serves as an in-house expert and advises senior management.

Responsibilities

• Conceives, plans, designs and conducts research in algorithm development and statistical analysis.
• Leads analysis activities for multiple discovery programs, product development, and methods/processes. Identifies and solves technical challenges and implements improvements to work processes.
• Designs, plans and executes project tasks.  Designs and executes experiments to test hypotheses related to project outcomes.  Applies advanced scientific knowledge to projects; determines priorities for experiments. Assures experimental quality through sound, independent, experimental design.

requirements

A PhD in Science, Computer Science, Computational Biology, Mathematics, or Statistics plus 2 or more years relevant experience or a Master's degree plus 6 or more years relevant experience.  Preferred candidates will have experience with statistical software packages such as R or S-plus, scripting language such as Perl or Python, and/or procedural programming language.  Expertise in manipulation and management of large-scale data sets and/or data mining techniques for oligonucleotide microarray, next generation sequencing, and genotyping technologies is highly desirable.

• Broad knowledge of techniques in statistics and computational biology and is skilled in their application.  Must be able to work independently to determine methods and procedures on new assignments.
• Track record of demonstrated success in achieving goals in a specific timeframe and in a fast-paced environment.  Flexible to adjust to project needs and able to thrive in a fast-paced environment.
• Capable of searching scientific literature to gain general and specific information.  Proven ability to apply technical writing skills to create reports, documents, and presentations.
• Possesses strong data analysis, troubleshooting, and project management skills.
• Excellent verbal and written communication skills.