Job Description :
Job Summary:
This role is to provide algorithms/bioinformatics software engineering support for Client’s data analysis software.
As a software engineer, you will work in a cross functional team to develop clinical-grade software for next-generation sequencing (NGS
The successful candidate must be a fast learner with strong sense of ownership, motivation, and detail-orientated.

Work with cross-functional teams to create clinical products based on complex bioinformatics algorithms and pipelines.
Work with bioinformatics scientists in understanding, developing and testing analysis algorithms.
Refractor existing software components to improve testability.
Write software design specifications.
Partner with software testers and domain experts in designing, performing, and improving verification of existing software.
Develop and execute automated unit, functional and integration tests.
Follow and advocate Software Development Life Cycle procedures.

Required Skills & Experience
Minimum 5 years industry experience.
Algorithm development experience with object-oriented languages such as C# (preferred), C++ or Java.
Probability and statistics education/experience
Multi-threading and parallel data processing expertise
Experience writing software design documentation.
Experience with scripting and functional languages including Perl, bash, R, python
Experience working in Linux environment
Be curious, detail oriented, and analytical, with a proven ability to learn quickly.
Be customer-focused, team-oriented, and motivated, taking ownership of assigned tasks.
Excellent technical writing skills in English.
Good verbal and written communication and troubleshooting skills.

Preferred Skills & Experience
Have an understanding of Oncology, Molecular Biology, Bioinformatics, or related field of biology.
Basic experience with bioinformatics tools and algorithms for NGS.

Required Education
Bachelor or Master Degree (or higher) in Computer Science, Bioinformatics, Computational Science, or related field from an accredited university (or foreign equivalent