Bioinformatics & AI Engineer

Design, develop, validate, and operate foundation-model-enabled applications for multi-omics, imaging, and clinical data to accelerate biomarker discovery and translational research.

Engineer scalable, reproducible pipelines and workflows integrating bioinformatics, AI models, and clinical data with robust benchmarking and validation strategies.

Collaborate with multidisciplinary teams to deliver production-ready AI-driven solutions optimized for cloud and GPU infrastructure in biomedical settings.

Master’s or PhD in Bioinformatics, Computational Biology, Computer Science, Machine Learning, Statistics, Genetics/Genomics, or related discipline.

7+ years of experience building bioinformatics, machine learning, data science, or research software solutions; AI application to biomedical or life-science data preferred.

Proficiency in Python programming and software engineering practices (Git, testing, CI/CD, documentation).

Experience with deep learning foundation models, biological data modalities (genomics, transcriptomics, proteomics, imaging), and cloud/GPU environments.

Expertise in adapting and validating biological foundation models, including transformers and large language models for biomedical applications.

Experience designing and managing reproducible multi-omics and clinical data workflows with workflow engines (Nextflow, Snakemake) and containerization (Docker, Singularity).

Background in regulated research or pharmaceutical environments applying rigorous scientific validation and quality control.