Senior Scientist Omics

What you'll do

• Construct analytic frameworks by integrating perturbation, ontology, and cellular phenotyping with molecular datasets like genomics and proteomics.
• Apply machine learning and inference methods to link molecular targets to disease states and validate predicted mechanisms.
• Model multimodal data to predict qualities and liabilities associated with on-target and off-target treatment effects.
• Develop statistical models and AI/ML methods to analyze multiomic and biobank data for target identification and biomarker discovery.
• Provide technical consultation to Immunology stakeholders regarding the analysis of phenomic and molecular data.
• Translate computational findings into actionable insights for functional, biological, and pharmacological validation.
• Implement NLP and related approaches to annotate targets, biomarkers, and networks to support classifier construction.

What we're looking for

• A Ph.D. in a quantitative Biology field such as Bioinformatics, Computational Biology, Systems Biology, or Statistical Genetics is required.
• 2-3 years of experience post-PhD degree is required.
• Experience with multi-omic data at both bulk and single cell levels is required.
• Proficiency in programming and computational skills is required.
• Demonstrated ability to work with a group of scientists to deliver on objectives in defined timelines is required.
• Outstanding communication, organizational, and leadership skills with a track record of publication and cross-functional collaboration are required.
• Experience with Immunology is preferred.
• Working knowledge of gene/pathway ontology, network analysis, perturbation data, and advanced analytical approaches (NLP, ML/AI, LLM) is preferred.