Bioinformatics/Data Science Analyst
Core
Design and execute experiments to study cancer pathogenesis, molecular mechanisms, and treatment resistance in lymphoid malignancies using large genomic cohort analyses.
Role type
Senior Bioinformatics Analyst (Research)
Builds
High-throughput data pipelines for single-cell and spatial transcriptomics; open-source software packages; manuscripts for scientific journals.
Domain
Cancer genomics, immunology, lymphoid malignancy, clonal hematopoiesis
Deliverable
production ML models | research | dashboards & analysis
Required skills
R, Python, BASH, TensorFlow, Linux environment, high-performance computing (Slurm), NGS data analysis (FASTQ, BAM, VCF), statistical analysis (ANOVA, regression, clustering, phylogenetics, survival), software development best practices (version control, GitHub)
Preferred skills
Cancer genomic study experience, machine learning and data modelling, mentoring students and junior researchers, statistics or machine learning training
Technologies
scRNA-seq, scATAC-seq, scMultiome-seq, Visium, CosMx, Slurm, GitHub, TensorFlow
Responsibilities
Develop and oversee high-throughput data pipelines; analyze DNA/RNA sequencing data (single cell, whole genome, methylation); develop new computational methods to integrate multi-omics data; contribute to codebase and support open-source software; manage lab servers and computational infrastructure; prepare manuscripts for publication; present research findings at conferences; assist in writing grant proposals; mentor graduate and undergraduate students.
Seniority
Senior, hands-on IC with mentorship responsibilities
