🚀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