Rajeev Prasad

Lead Data Scientist (2025-10 – 2026-05)

Built a Retrieval-Augmented Generation (RAG) application for biomedical literature question-answering using PubMed abstracts focused on breast cancer biomarkers and machine learning
Developed an end-to-end NLP pipeline using Python, LangChain, OpenAI embeddings, and ChromaDB to retrieve semantically relevant biomedical literature for evidence-grounded responses
Designed a Streamlit-based interactive interface enabling natural language querying of biomedical research abstracts for translational and healthcare analytics use cases
Integrated retrieval pipelines with LLM-based response generation to reduce hallucination risk and improve contextual grounding in scientific literature
Applied concepts including embeddings, vector databases, semantic retrieval, and prompt orchestration for biomedical AI and healthcare knowledge discovery

Lead Data Scientist (2025-03 – 2025-09)

Designed and executed translational research workflows integrating multi-modal genomic (scRNA-seq) and clinical datasets (500K+ cells) to identify tumor-specific molecular signatures, generating reports and insights to support data-driven decision making.
Built scalable machine learning pipelines for tumor vs. normal classification (AUC = 0.89) using XGBoost and interpretable AI techniques, supporting biomarker discovery and disease characterization.
Applied SHAP-based model interpretability to validate biological relevance of key drivers (e.g., MYC, ERBB2, CCND1), aligning ML outputs with known cancer pathways
Performed differential expression and pathway-level analyses to identify clinically actionable oncogenes and therapeutic targets
Mapped 75+ genes to DGIdb, Open Targets, and clinical trial data, stratifying into FDA-approved, emerging, and underexplored targets to support translational insights
Developed UMAP, network, and matrix visualizations to communicate complex molecular findings to technical and non-technical stakeholders

Scientist/Sr. Ass. Scientist at Zoetis Inc./Pfizer Animal Health (2010-01 – 2022-10)

Led cross-functional project teams of 6–8 scientists and veterinarians, provided mentorship on data pipelines, experimental design, and assay validation; ensured delivery of studies on time and within budget (~$500K–$1M per program).
Developed and validated 20+ preclinical disease models using bacterial and viral pathogens, enabling robust evaluation of vaccine candidates and supporting 3+ licensure submissions.
Advanced multiple vaccine programs from discovery to licensure, authoring 25+ regulatory dossiers to support vaccine registrations across US, EU, China, and Brazil, reducing approval timelines by an estimated 15–20%.
Directed data integration and statistical analyses across 10+ multi-site clinical trials, ensuring reproducibility and regulatory compliance (GCP/GLP).
Directed clinical programs as Clinical Lead, managing 4–5 concurrent vaccine studies and supervising teams of 10–12 staff under USDA 9CFR, VICH, and USDA Memoranda guidelines.

Scientist III at Fort Dodge Animal Health (2008-12 – 2009-12)

Managed laboratory/clinical studies for the licensure of commercial poultry vaccines (bacterial and viral).

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