[Software Engineer] • Develop, maintain, and debug existing bioinformatics pipelines using Python and Perl • Refactor existing pipelines to solve scalability bottlenecks and improve processing time • Collaborate with other development team members to transform pilot code into robust and scalable pipelines • Implement pipelines for use in both on-premise servers and cloud-based instances using a robust workflow manager • Write unit tests to fully test new and updated code modules and regression tests to confirm consistency of developed code • Interact with other members of the development team using a source control system • Present technical summaries and descriptions to non-technical personnel in a non-technical manner • Deliver high-quality work on scheduled timelines • Communicate effectively and professionally with onsite collaborators and offsite partners • Maintain awareness of best practices and evaluate the applicability of new technologies for scaling analysis pipelines
[Data Analyst] • Data Mining and extraction • Effective troubleshooting skills where you can leverage your research, analysis, and problem-solving skills • Statistical Analysis of the data • Organize using tools and techniques to present easy-to-understand formats, diagrams, and graphs
[Software Engineer] • Architect, design, and develop software systems that control machines to streamline the manufacturing process • Builds and maintains software infrastructures that enable value extraction from the data generated • Understand each new product’s operation and control, and develop the means to ensure their integrity in volume production • Design, document, and qualify software for use in manufacturing new instruments and accessories • Follow good software development practices • Work independently to overcome roadblocks with minimum guidance • Take ownership of manufacturing software and work with cross-functional teams to drive projects to completion • Support existing production software
[Data Analyst] • Experience using data querying languages (e.g., SQL, Hadoop/Hive) • 0 - 1 year of professional experience in modeling and statistical analysis of large data sets. • Experience in working with databases and SQL • Proficient with using a scripting language like Python and data manipulation/analysis libraries such as • Scikit-learn and Pandas for analyzing and modeling data. • Ability to go from a jupyter-notebook analysis to a scaled micro-service deliverable. • Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives. • Ability to manage and quantify the improvement in customer experience or value for the business resulting from research outcomes. • Superior verbal and written communication skills, ability to convey rigorous mathematical and technical concepts and considerations to non-experts. • Strong troubleshooting and problem-solving skills. • Thrive in a fast-paced, innovative environment.