Scientist, Computational Biology

Responsibilities

• Develop, maintain, and scale computational pipelines for proteomics, transcriptomics, and proprietary assay data
• Integrate multi-modal biological datasets to identify disease-relevant molecular patterns and candidate biomarkers
• Design and apply statistical, machine learning, and bioinformatics methods to improve assay sensitivity and interpretability
• Partner with biologists and assay developers to design experiments and validate biological hypotheses
• Collaborate with software and data engineers to build internal tools and dashboards for data exploration
• Build literature-based contextualization workflows, including the responsible use of LLMs
• Ensure all analyses are reproducible, well-documented, and version-controlled

Requirements

• PhD in computational biology, systems biology, bioinformatics, computer science, or a related field
• 2-4 years of industry experience
• Strong hands-on experience analyzing mass spectrometry-based proteomics data
• Proficiency in R or Python for scientific programming
• Experience with NGS and -omics data analysis (e.g., single-cell and bulk RNA-seq)
• Knowledge of statistical inference and machine learning (e.g., random forests, SVMs, neural networks)
• Experience providing computational support for wet-lab experimental design

About the Company

FL103 is an early-stage biotech company founded by Flagship Pioneering. We are developing breakthrough liquid biopsy technologies to transform how disease is detected, monitored, and treated through the analysis of minimally invasive biospecimens.