Bioinformatics Software engineer

Overview

On Site
$120,000 - $140,000
Full Time

Skills

Bioinformatics
NGS data
biological applications
OOP practices
bioinformatics tools
JAVA
SAAS
Spring
Restful
NoSQL

Job Details

Role: Software Engineer Bioinformatics

Location: Redwood City

Our bioinformatics tools enable:

Analysis, comparison, and visualization of NGS data

User-friendly customization of comprehensive bioinformatics solutions

Hypotheses about novel mechanisms of action underlying patterns in data

Interpretation of upstream/downstream effects of gene expression changes

Enterprise-level handling and curating of NGS data for clinical and biological applications

About the opportunity:

  • Provide solutions to complex bioinformatics problems, requiring strong software engineering skills and background in highly scalable web based consumer applications development.
  • Design and develop cutting edge web applications and user interfaces.
  • Design and develop high performance components/sub-systems for highly scalable service-oriented software.
  • Write well-documented, extensible software code that is easy to maintain, and that adheres to generally accept programming standards and OOP practices.
  • Own the overall quality of your code including unit testing, functional testing and performance.
  • Produce and maintain technical designs and documentation relevant to assigned software development tasks.
  • In turn you can expect a high-profile position on a great team with many challenges and rewards!

Position Requirements

Bachelors in Computer Science required. Masters preferred.

3+ years of developing web applications.

Experience building/using bioinformatics tools for NGS data required.

Highly proficient in JAVA and strong understanding of multi-threaded programming.

Excellent grasp of OOP concepts and design patterns.

Knowledge of SaaS, SOA, OOP, Unix and Java development in a cross-platform environment.

Experience with web services (such as Spring and RESTful).

Experience with relational databases (including data modeling and performance tuning) and NoSQL databases.

Knowledge of Continuous Development, Integration, and Deployment.

Knowledge of scalability/performance issues and optimization techniques.