Job summary
Job post source
This job is directly from SQRL
Job overview
The Bioinformatics Engineer (software) at SQRL leads the development of AI-driven software tools for life sciences, integrating advanced AI technologies to enhance lab processes and data analysis.
Responsibilities and impact
The role involves building software interfacing with lab hardware, automating instrument setup, integrating AI assistants, developing real-time data systems, designing algorithms for sequencing data, optimizing large-scale data processing, training AI models, and collaborating with scientists and engineers to align with scientific and business goals.
Experience and skills
Candidates need a degree in Computer Science, AI, or related fields, experience in life sciences or biotech environments, proficiency in Python and/or JavaScript/TypeScript, familiarity with ML frameworks like TensorFlow or PyTorch, and experience deploying AI models in software products; onsite work in St. Petersburg, FL is required.
Job location and travel
The position requires onsite work in St. Petersburg, Florida, facilitating direct collaboration with hardware teams and scientists.
Unique job features
This role uniquely combines AI model training with real-time lab hardware integration and supports transitioning from PCR to next-generation sequencing workflows.
Company overview
SQRL is a technology company specializing in cybersecurity solutions designed to protect businesses from digital threats. They generate revenue through subscriptions to their software services, which include threat detection, data encryption, and secure communication tools. Founded in 2015, SQRL has quickly gained a reputation for innovation, particularly with their AI-driven security analytics platform. Their commitment to staying ahead of cyber threats has made them a trusted partner for enterprises looking to safeguard their digital assets.
How to land this job
Position your resume to emphasize your experience in developing AI-driven software tools for life sciences, highlighting projects involving lab hardware integration and real-time data acquisition systems.
Focus on showcasing your proficiency with Python and ML frameworks like TensorFlow or PyTorch, as well as your ability to deploy AI models into scalable software products and web applications.
Apply through multiple channels including SQRL's corporate career site and LinkedIn to maximize your chances of being noticed for the Bioinformatics Engineer role.
Connect with current SQRL employees in the bioinformatics, AI, or software development divisions on LinkedIn; use ice breakers like commenting on recent SQRL innovations in AI for life sciences or asking about their experience collaborating with hardware teams.
Optimize your resume for ATS by incorporating keywords from the job description such as 'AI-driven software,' 'lab hardware integration,' 'real-time data acquisition,' 'TensorFlow,' 'PyTorch,' and 'NGS pipelines' to ensure your resume passes initial screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and discover LinkedIn connections at SQRL, enabling you to focus your time on preparing for interviews and networking effectively.
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