Scientist/Sr. Scientist, Bioinformatics Data

Key Responsibilities

• Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or multi-omics data) to identify biomarkers, therapeutic targets, or disease mechanisms.
• Apply advanced statistical, machine learning, and data-mining techniques to extract meaningful patterns from noisy biological data.
• Perform quality control, normalization, and batch-correction across heterogeneous datasets.

Requirements

• Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field.
• Proven experience handling genomic data (Next-Generation Sequencing/NGS data analysis is required).
• Ability to turn raw biological data into structured insights.
• Strong experience with AI application in data science.
• Advanced proficiency in R (e.g., Bioconductor, Tidyverse) and/or Python (e.g., Pandas, NumPy, Scikit-learn).
• Experience with standard bioinformatics tools (e.g., alignment tools, variant callers, single-cell toolkits like Seurat/Scanpy).
• Experience with cloud computing platforms (AWS, GCP) and containerization (Docker, Singularity) is a strong plus.

Qualifications

The role is designed as the starting point of group effort to solve complex biological and clinical problems in a fast-paced environment. We look for individuals who take extreme ownership of their expertise and training, and driven by the prospect of turning data into information, and information into knowledge.