Software Engineer (Bioinformatics)

Our client is revolutionizing forensic investigations by integrating advanced lab science, innovative software, and optimized processes. Their proprietary technology helps law enforcement agencies worldwide solve complex DNA cases, with more successful forensic genetic genealogy outcomes than any other method.

As a Software Engineer (Bioinformatics), you will develop and optimize software for this leading forensic DNA analysis platform. Combining web development, system programming, and algorithm design, you'll create high-performance tools that streamline DNA workflows and enhance forensic capabilities, collaborating with scientists, developers, and law enforcement to ensure accuracy and scalability.

Responsibilities

• Develop Web Applications

  Build user-friendly interfaces and secure back-end systems using Java, Python, and modern web technologies.

  
  

• Automate and Integrate Workflows

  Develop tools for evidence data management and automate DNA analysis workflows.

  
  

• Optimize Scalability and Performance

  Design scalable cloud-based systems and optimize applications for large data processing.

  
  

• Build Algorithms

  Develop algorithms to analyze DNA data and enhance forensic capabilities.

  
  

• Collaborate

  Work with scientists and law enforcement to integrate tools and improve systems.

  
  

• Innovate and Improve

  Continuously enhance data processing pipelines and optimize performance.

  
  

Requirements

• Strong foundation in C++ or other low-level languages.
• Experience with bioinformatics workflows, particularly metagenomic sequencing.
• Ability to work at the intersection of biology and technology.
• Self-starter with problem-solving and innovation skills.
• Experience with scalable systems and automation frameworks.

Preferred Qualifications

• Experience designing and delivering large-scale projects.
• Proficiency in C++, Python, or Java, with performance optimization experience.
• Experience working with cross-functional teams in dynamic environments.
• Proficiency with bioinformatics tools like SAMtools and Next-Generation Sequencing (NGS).