Responsibilities

• As Staff Software Engineer, the candidate will be responsible for developing the next-generation data analysis and visualization platform.
• This role will develop a suite of tools to analyze and visualize spatial 3D genomic data.
• This position will work closely with Engineering and Product Management to deliver easy to use analytic tools to help researchers explore and visualize their datasets.

Role:

• Create enhanced 3D visualizations of the spatial genomic data.
• Develop a range of analytic tools that allow for the discovery of new interactions.
• Develop graphical tools using statistical data visualization libraries to analyze the results.
• Work with other software and system engineers to refine data acquisition and data analysis workflows.
• Architect and implement new solutions and validate new ideas by modifying existing solutions or developing new features.
• Analyze performance and optimize solutions to enable analysis of big data.
• Develop data mining and machine learning methods to analyze patterns and segregate or group data.

Qualifications

• Proficiency in Python and Java.
• Proficiency in statistical computing
• Familiarity with data visualization libraries such as matplotlib, seaborn, pandas, etc.
• Advanced degree in Bioinformatics, Mathematics, Statistics or Computer Science (M.S. or Ph.D.)  D. (preferred) or Masters with 5 years of experience.
• Expertise in rigorous quantitative data analytics practices (e.g. advanced statistical modeling and analysis, machine learning algorithms, funnel analysis, etc.)

Additional desirable skills to have:

• Experience in R Programming
• A solid background in biology.
• Ability to work in a fast-paced environment. Adapts to changing priorities. Drive for results.
• Embraces effective decision-making skills; uses good judgment and can bring closure to issues.
• Continually demonstrates reliability and delivery of measured results, executed with a sense of urgency.
• Desire to be part of a rapidly evolving organization, with compelling technology, and taking products and processes to the next level.
• Good process and people skills.
• Good business acumen with a positive solutions-oriented approach and ability to build productive relationships.