Position Summary:
We are seeking an exceptional individual to join our growing Life Cycle Management (LCM) team to contribute to support the development and manufacture of sequencing and genotyping consumables. The ideal candidate will be able to work in a cross functional team, translating the challenges faced by the group into bioinformatics solutions. You will work with Process Engineering, Quality, Software Engineering, and R&D to develop novel solutions and maintain existing software. This role will involve verification and validation of data analysis software and development of test automation frameworks, libraries, and tools to facilitate on-market and new product introduction activities.
Position Responsibilities:
Work independently in cross-functional teams to lead the development and testing efforts for Bioinformatics data analysis software.
Maintain and improve bioinformatics software database integration.
Develop, improve, and maintain test automation frameworks and continuous integration pipelines.
Develop tools and utilities for Bioinformatics verification and validation.
Develop test deliverables and analyze the results of Bioinformatics pipelines using internal and 3rd party Bioinformatics software.
Work with software developers, Bioinformatics scientists, and domain experts in designing, performing, and improving the verification and validation process.
Collaborate with peers to identify opportunities for process improvement.
Manage and optimize high throughput computing clusters
Develop data architectural solutions to ensure maintainability and performance of systems across HPC and cloud-based environments
Mentor and guide junior engineers and share knowledge
Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.
Position Requirements:
Masters / PhD in Bioinformatics, Computational biology, Computer Science, or an equivalent field, or Masters / Bachelor's Degree in Biochemical Engineering, Bioengineering, Biotechnical Engineering, Biological Science, Life Science, Molecular Biology, or equivalent field with strong programming background
Minimum 4 years of working experience in a bioinformatics role.
Working experience with Bioinformatics tools and algorithms for NGS and Microarray.
Working experience with high performance compute clusters in a Linux environment
Working experience with R, Perl, Python, Bash, or C# and Java.
Previous working experience involving Bioinformatics software development or testing.
Familiarity with databases (such as RDMS, SQL), Cloud computing (such as Amazon Web Services), and web service is preferred.
Understanding of key concepts in statistics and statistical genetics
Excellent verbal and written communication and troubleshooting skills.
Personal initiative and ability to work effectively as part of a team.
Familiarity with Statistical Process Control and DOE techniques.
Detail-oriented, proactive, works independently, possesses “can do” spirit.
All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodation for additional task and responsibilities.