Excellent compensation and benefits package available for the right candidate. A leading specialty insurance provider is seeking a Principal Data Scientist who will play a key role in shaping Artificial Intelligence &Â Machine Learning (AI/ML) strategy. The ideal candidate would have 6+ years of data science/predictive analytics experience in P&C insurance, familiarity with big data platforms, and a background in building AI &Â machine learning models, as well as deploying GenAI solutions. Must have expert-level proficiency in Python, strong project management skills, and experience working in an agile team environment. (#58368) Compensation: - A salary range of $150-170K Locations: - Amelia, OH - Hybrid - Remote in EST

• Understand business problems that can be solved with data science using statistical analysis and machine learning models; • Ensure integrity in data collection from all sources for all analyses performed by the data team; • Collect and prepare datasets for analysis; • Perform data exploration, test hypotheses, identify insights and validate them with business stakeholders; • Develop statistical and machine learning models; • Deploy models for consumption by the business; • Produce analyses and reports for business areas; • Contribute business-focused ideas to the department's data science analyses.

• Extract data from primary and secondary sources and conduct data analysis to generate actionable insights • Develop and maintain databases, data systems – reorganize data in a readable format • Design charts and tables that can easily show the key messages presented to different audiences • Filter Data by reviewing reports and performance indicators to identify and correct problems • Assign numerical value to essential business functions so that business performance can be assessed and compared over periods of time • Prepare reports for management: stating trends, patterns, and predictions using relevant data • Work with engineers, designers and project managers to create engaging and insightful business reviews and reports

Big Picture Bio is a seed-stage techbio company, backed by DSV, building a computational drug discovery platform that constructs causal biological networks from two primary sources: structured extraction of published experimental literature and large-scale primary human single-cell omics data. Our multi-agent AI system reasons over these networks to generate, simulate, and rank mechanistic hypotheses for combination therapies — with system accuracy verified against top-tier researchers at the Allen Institute. We are initially focused on oncology. The Role (remote, timezone-restricted) You will design and build production bioinformatics pipelines for new modalities—spatial transcriptomics, single-cell proteomics, and spatial proteomics—extending our existing scRNA-seq infrastructure. These pipelines feed directly into an agentic hypothesis generation system: the quality of what goes in determines the quality of every therapeutic hypothesis that comes out. You’ll work closely with our Head of AI & Technology (Dr. Francesco Moramarco) and Head of Platform (Dr. Moustafa Khedr) to: - Build end-to-end pipelines (ingestion, QC, normalization, integration, annotation, differential analysis) - Design modality-specific statistics: spot deconvolution, spatial autocorrelation, ADT normalization, protein-RNA joint embedding, segmentation, spillover correction - Extend hierarchical cell type annotation across modalities - Codify best-practice workflows into reusable templates for agent execution - Sanity-check outputs to catch batch effects and artifacts before they propagate