Research · Data · Life Sciences

Ifra Saifi

Research Intelligence Analyst & Data Scientist

Turning messy life-science data into insights that move research forward. Botanist by training, data scientist by practice — bridging AI, drug discovery, and metabolomics to accelerate scientific and strategic decision-making.

Ifra Saifi
01

About Me

I'm a research-driven professional with almost five years of experience at the intersection of life sciences, AI, and data intelligence. As a qualified botanist with a technical toolkit spanning Python, machine learning, NLP, and metabolomics, I specialise in transforming complex scientific and market data into strategic insights.

I've collaborated with global teams at Enveda Biosciences (Colorado), Royal Botanic Gardens Kew (UK), CURE ID (Tucson), and the Bioinformatics Research Network — building LLM pipelines, metabolomics annotation workflows, knowledge graphs, and drug discovery intelligence systems.

I'm passionate about bridging traditional botanical knowledge with modern computational methods, particularly in how AI can accelerate drug development and health research.

Research Interests

Type 1 & 2 Diabetes · Alzheimer's Disease · Immunology · AI in Drug Discovery · Medicinal Plants · Metabolomics · Cheminformatics

Technical

PythonMachine LearningNLPData VisualizationTableauWeb ScrapingGenomicsClaude CodeMCPKnowledge Graphs

Domain

Drug DiscoveryMetabolomicsResearch IntelligenceComputational BiologyBotanyLiterature MiningClinical ResearchBioinformatics

Business

Market AnalysisB2B ProspectingBusiness DevelopmentContent WritingReport Writing

Languages

EnglishHindiArabic (Elementary)
02

Selected Projects

Data Science · Life Sciences

Metabolomics Data Analysis & Annotation

Exploratory data analysis and metabolite annotation pipeline for Enveda Biosciences. Applied statistical methods and model context protocols to identify biologically meaningful patterns in complex mass spectrometry datasets.

PythonEDAMetabolomicsClaude CodeMCP

NLP · Computational Biology

LLM Pipeline — Medicinal Plant Knowledge Extraction

Contributed to an LLM-based pipeline for extracting relationships between scientific plant names and medicinal uses under the Plants for Health initiative at Royal Botanic Gardens Kew. Work is under journal review.

LLMsNLPData LabelingMedicinal Plants

Knowledge Management

Drug Discovery Knowledge Graph

Built a structured knowledge graph mapping relationships between drug candidates, disease targets, research institutions, and clinical trial outcomes — enabling rapid intelligence queries across the R&D landscape.

Knowledge GraphsDrug DiscoveryPythonLiterature Mining

Business Development

Market Analysis & B2B Intelligence System

Designed and maintained an intelligence pipeline for energy tech and drug discovery markets — combining web scraping, data enrichment, and trend analysis to generate actionable B2B prospecting leads and market reports.

Web ScrapingMarket AnalysisB2BData Curation

Clinical Research

Whipple's Disease: Drug Repurposing Analysis

Conducted comprehensive analysis of clinical trial data and case studies for Whipple's Disease at CURE ID / Critical Path Institute. Results presented as a research poster at ID Week Conference 2024.

Clinical DataDrug RepurposingInfectious DiseaseCURE ID

Computational Biology

HPV Cancer Progression Simulation

Applied CancerSim computational methods to model HPV progression in cancer cells, contributing quantitative insights to the understanding of viral oncogenesis pathways.

PythonCancerSimHPV ResearchComputational
03

Work Experience

Data Science Contractor Apr 2026 – Present

Enveda Biosciences · Colorado, United States (Remote)

Data ScienceMetabolomicsClaude Code
  • Leading metabolomics data annotation and exploratory analysis projects in a research-driven environment.
  • Applying model context protocols and EDA techniques to extract biological insights from complex life-science datasets.
Data Science Intern Jan 2026 – Apr 2026

Enveda Biosciences · Colorado, United States (Remote)

Data ScienceLife SciencesEDA
  • Built metabolomics annotation pipelines supporting drug discovery research workflows.
  • Collaborated with a cross-functional science team on data quality and insight generation.
Research Intelligence Analyst Sep 2025 – Dec 2025

Neovarsity · Berlin, Germany (Remote)

Market AnalysisWeb ScrapingB2B
  • Managed a database of 1,000+ collaborators, leads, and prospects across drug discovery and energy tech sectors.
  • Monitored global R&D trends and generated strategic intelligence reports used by leadership for partnership decisions.
  • Delivered targeted email campaigns that expanded the company's B2B outreach pipeline.
Junior Research Intelligence Analyst Feb 2025 – Sep 2025

Neovarsity · Berlin, Germany (Remote)

Market AnalysisDrug DiscoveryContent Writing
  • Produced data-driven analyses on AI and cheminformatics trends, informing company positioning in the drug discovery market.
  • Authored and published peer-reviewed articles and industry blog posts on cheminformatics and AI in pharma.
Volunteer Data Scientist Mar 2024 – Present

Royal Botanic Gardens, Kew · London, UK (Remote)

NLPLLMsMedicinal Plants
  • Contributing to an LLM pipeline linking scientific plant names to medicinal uses under the Plants for Health initiative (under journal review).
  • Proposed workflow improvements that expanded the scope of extraction beyond the initial brief.
Clinical Research Scholar Jan 2024 – Apr 2024

CURE ID / Critical Path Institute · Tucson, USA (Remote)

Clinical DataDrug RepurposingInfectious Disease
  • Analysed clinical trials and case studies for Whipple's Disease; findings presented at ID Week Conference 2024.
  • Contributed curated entries to the CURE ID drug repurposing database.
04

Research & Publications

Peer-Reviewed Article

Artificial Intelligence and Cheminformatics Tools: A Contribution to Drug Development and Chemical Science

AI & Drug Discovery

Peer-Reviewed Article

Exploring the Tumor Immune Microenvironment in Ovarian Cancer: A Way-Out to the Therapeutic Roadmap

Oncology / Immunology

Monograph

Monograph for Stellaria media (Chickweed Plant)

Botanical Sciences

Industry Article

How Cheminformatics is Used in Drug Discovery in 2025

Neovarsity

Industry Article

Why Cheminformatics is Important for Organic Chemists in 2025

Neovarsity

Conference Poster

Whipple's Disease: Insights from Clinical Trials and Drug Repurposing

ID Week Conference 2024

05

Education

Master of Science

Botany / Plant Biology

Chaudhary Charan Singh University

2017 – 2019

Bachelor of Science

Botany, Zoology & Chemistry

Chaudhary Charan Singh University

2014 – 2017

Honors & Awards

🥇

Gold Medalist

8th Environment Competition

06

Certifications

AI Programming with Python — Udacity
Learn Chemical Data Analytics
Linux for Drug Discovery
Molecular Drug Discovery with Machine Learning (Workshop)
Python Essentials for Drug Discovery

Let's Connect

Open to Opportunities

Currently seeking full-time or contract roles in data science, research intelligence, or computational biology — especially where life sciences meets AI. Open to remote collaboration globally.

Available for new projects
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