Job Description

Bioinformatics Scientist — Genomics Platform

We’re on a mission to accelerate innovation and help advance human health by enabling people to work more effectively and make discoveries faster.

Our solutions support a wide range of organizations, from research institutions to global enterprises. By combining advanced technology with scalable operations, we aim to make complex processes more accessible, efficient, and cost-effective.

As we continue to expand our capabilities, we remain focused on our broader vision: empowering innovators everywhere with tools and services that help them move faster, solve important challenges, and create meaningful impact.

The Role

As a Bioinformatics Scientist, you’ll help build the engine powering this transformation. This is a high-impact, high-ownership role where you’ll:

• Design and deploy high-performance bioinformatics pipelines that process thousands of samples daily
• Develop novel algorithms to transform raw sequencing data into accurate, actionable insights
• Integrate cutting-edge tools into scalable, production-ready workflows
• Debug and optimize pipelines handling real-world biological complexity
• Translate complex outputs into intuitive, user-friendly scientific experiences
• Collaborate closely with a fast-moving, interdisciplinary team
• Mentor peers while continuing to grow your own expertise

What We’re Looking For

You’re someone who:

• Takes ownership and thrives in fast-paced, high-autonomy environments
• Is deeply curious about biology, algorithms, and software engineering
• Is motivated by the real-world impact of accelerating biotech and medicine
• Communicates clearly and enjoys supporting team growth

✅ Qualifications

• PhD in Bioinformatics, Computer Science, Statistics, Physics, or related quantitative field
• 3+ years building production-grade bioinformatics pipelines

Core expertise in at least one area:

• Microbial genomics (assembly/metagenomics)
• Variant calling / large-scale genomics
• Bulk or single-cell RNA-seq

Technical experience:

• Nextflow or Snakemake (production + cloud deployment)
• Strong foundation in sequence analysis (alignment, assembly, etc.)
• Experience with Illumina or Oxford Nanopore data
• Python (NumPy, Pandas, BioPython, Jupyter)
• Docker / containerization tools
• Git-based workflows
• Linux and production-level scripting
• Large-scale genomic data processing

⭐ Nice to Have

• Experience with C++, Rust, or other compiled languages
• Interest in scientific data visualization / UX
• Wet lab biology experience
• History of developing novel bioinformatics methods

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