Ephla Bio is looking for a bioinformatician to turn biological and experimental data into insights that guide therapeutic development. Build reproducible analysis pipelines, interpret complex datasets, and apply statistical methods to target prioritization.
Locations (3)
Toronto, Ontario, Canada
San Francisco Bay Area, California, United States
New York, New York, United States
Responsibilities
Build and validate workflows from tumor/normal sequencing (WES/WGS, RNA-seq) through QC, somatic variant calling, VAF and clonality analysis (truncal vs. subclonal, adjusted for purity and copy number), HLA typing, expression quantification, and reporting.
Analyze HTS data and other large-scale screens. Integrate them with public datasets (e.g. immunopeptidomics) and turn patterns into testable hypotheses.
Assess assay quality, batch effects, and biological variability. Benchmark methods, validate findings against independent datasets or experimental results, and communicate uncertainty early.
Combine assay results, sequence annotations, and relevant biological evidence to rank candidates and explain the rationale for experimental follow-up.
Design experiments with lab scientists (scale, controls, data priorities), turn predictions into testable candidates, and feed results into the next round.
Lead the Oncology Integrative Biology team, providing scientific and strategic leadership for computational biology within Oncology Discovery across all disease area strongholds.
Locations (3)
Beerse, Antwerp, Belgium
Cambridge, Massachusetts, United States
Spring House, Pennsylvania, United States
Compensation
The anticipated base pay range for this position is:
$204,000.00 - $351,900.00
Responsibilities
Define and execute the computational biology strategy for Oncology Discovery
Lead computational approaches for target identification and validation
Integrate human tumor, patient-derived, multi-omics, and functional genomics data
Advance the application of machine learning, AI, network biology, predictive modeling, and multimodal data integration
Partner with data science, AI/ML, informatics, and technology teams
Requirements
Ph.D. or equivalent advanced degree in Computational Biology, Bioinformatics, Systems Biology, Genetics/Genomics, Biostatistics, Data Science, or a related discipline
Postdoctoral Scholar ResearchUSF University of South Florida · Tampa, US