Bioinformatician

Description

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to tackle humanity's greatest challenges in four transformative areas:

• Health, Medical Science & Generative Biology
• Food Security & Sustainable Agriculture
• Climate Change & Managing CO₂
• Artificial Intelligence & Robotics

This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas for lab to society. Explore more at www.eit.org

Requirements

We're looking for a Bioinformatician who will apply their strong expertise in bioinformatics and software engineering to advance EIT's programmes. You will collaborate with Applied and Research Scientists, Engineers, subject matter experts, users, and leadership to build AI solutions in our endeavor to respond to humanity's most challenging problems.

Day-to-Day, you might:

• Design, implement, and optimize state-of-the-art bioinformatics pipelines
• Transform and enrich large-scale biological data for training AI models incl. assembly, quality control, phylogeny and annotations
• Design biologically relevant tasks for training ML models and build corresponding evaluation data sets and metrics
• Design protocols for experimental model validation in collaboration with internal and external partners
• Collaborate effectively within a multi-disciplinary team and work closely with subject matter experts to incorporate domain expertise and user needs
• Build robust, scalable, and re-usable pipelines, maintaining high standard of code quality and transparency
• Communicate the design, function, performance, and output of bioinformatics pipelines to internal and external stakeholders

What Makes you a Great Fit:

• PhD or equivalent experience in Bioinformatics, Computational Biology, Microbiology, Genetic Epidemiology, Genomics or a related discipline.
• Extensive experience as a Bioinformatician including proven success in implementing state-of-the-art approaches on real-world problems, e.g., genome assembly, alignment, phylogeny and molecular evolution, genome annotation, and gene enrichment analysis
• Hands-on experience analysing genomics, (spatial-)transcriptomics, proteomics data
• Experience working with large datasets and building robust, scalable pipelines to transform them
• Hands-on-experience building Machine learning models using bioinformatics approaches (e.g., kmers) and keen interest in Machine Learning
• Proficiency in Python and experience adhering to best-practice coding practices
• Experience with containerization, relevant workflow management tools and parameter management
• Excellent communication skills including the ability to convey technical concepts to audiences of a variety of backgrounds

It would be Great to also have:

• Proven ability to work in fast-paced, dynamic environments like start-ups (e.g., willingness to take up multiple roles, high degree of autonomy)
• Experience in Machine Learning and tackling challenges in biological and molecular discovery
• Experience with Kubernetes and cloud platforms or HPC environments (e.g., Slurm)
• Familiarity with both long- and short-read technologies (e.g. ONT, Illumina)