Senior Staff Bioinformatics Scientist
Core
Lead development of novel algorithms and scalable bioinformatics workflows for RNA and multiomic sequencing applications, applying machine learning and AI to transform genomic data into actionable insights.
Role type
Sr. Staff Bioinformatics Scientist (IC with technical leadership)
Builds
High-performance, scalable algorithms and software for transcriptomics, oncology, population genomics, and multiomic analysis
Domain
Genomics / Bioinformatics / Computational Biology
Deliverable
production ML models | product features
Required skills
transcriptomics, statistical modeling, algorithm design, software engineering (C++/Python), machine learning, AI, foundation models, biological data analysis, technical leadership
Preferred skills
single-cell genomics, CRISPR/Perturb-seq, ATAC-seq, spatial transcriptomics, deep learning, generative AI, LLMs, cloud computing, oncology, clinical genomics
Technologies
C++, Python, machine learning frameworks, cloud computing platforms, AI/LLM tools
Responsibilities
Lead development of novel algorithms for RNA and multiomic sequencing; Design and implement scalable workflows for bulk RNA-seq, single-cell, CRISPR, ATAC-seq, and multiomic assays; Apply ML/AI/foundation models to accelerate method development and product innovation; Develop production-quality software solutions; Lead technical projects and define requirements; Mentor scientists and engineers; Evaluate emerging technologies for new features and IP
Seniority
Sr. Staff, hands-on IC with technical leadership
