Data Analyst

Job Summary

Highly skilled bioinformatics analyst with expertise in scRNA-seq, bulk RNA-seq analysis, spatial transcriptomics, and multi-omics integration in cancer genomics

Responsibilities

The responsibilities include, but are not limited to:

Developing Pathways

The candidate will be responsible for developing reproducible pipelines for differential expression, pathway enrichment, and immune deconvolution, supporting cancer biomarker discovery and drug response analysis. Proficiency in Python (pandas, TensorFlow, MATLAB), R, and SQL (including query optimization and indexing) is required, along with experience in data cleaning, signal preprocessing, and feature extraction, with emphasis on maximizing data fidelity and algorithmic efficiency.

Designing Programs

Designing and maintaining robust ETL frameworks (Pentaho, Airflow) and deploying solutions on cloud platforms (GCP, Docker, BigQuery), ensuring secure data integration and role-based access control.

Tracking Data

Demonstrate a track record across all stages of the data lifecycle, from collection and preprocessing to feature engineering, model development, training, evaluation, deployment, and the integration of interactive dashboards into unified front-end platforms.

Other

Other duties assigned.