Intern – Quantitative and Computational Modeling

Job Title: InternQuantitative & Computational Modeling

Location: Bengaluru-Rajarajeshwari Nagar / Onsite

Organization: MetFlux Research Private Limited

Employment Type: Internship (with potential conversion to full-time based on performance)

About MetFlux Research

MetFlux Research is building the meX ecosystem a biology-first intelligence platform that integrates systems biology, multi-module analytics, and quantitative modeling to power precision health, personalization, and predictive R&D.

Our modeling and analytics team supports:

• MetSights practitioner-grade precision insights based on blood, gut, urine, and lifestyle data
• MetSolve in-silico, physiology-aware modeling for health and wellness innovation

This internship is designed for candidates who want to work at the intersection of biology, mathematics, data, and real-world health applications .

Role Overview

As an Intern Quantitative & Computational Modeling , you will work closely with senior scientists and modelers to build, validate, and interpret data-driven and mechanistic models that support MetFluxs meX ecosystem.

You will gain hands-on exposure to:

• multi-modal health data integration
• physiological and pathophysiology-driven modeling
• analytical and computational pipelines used in real production systems

This role is ideal for fresh graduates who are analytically strong, curious about biological systems, and motivated to apply quantitative skills to meaningful health problems.

What You Will Work On

Your work will directly contribute to:

• Data integration pipelines across blood, gut microbiome, urine metabolomics, and clinical data
• Multi-modal physiological networks and pathway-level representations
• Data-driven, ML-assisted, and mechanistic models for different pathophysiological states
• Validation of MetSights personalized insights using quantitative and biological checks

Key Responsibilities

• Integrate and process multi-modal biological and clinical datasets for modeling workflows.
• Develop, simulate, and evaluate quantitative or computational models under guidance.
• Translate biological mechanisms and pathophysiology into mathematical or algorithmic representations .
• Validate models and pipelines both analytically (data/statistics) and biologically (mechanism plausibility) .
• Document models, assumptions, datasets, and outputs in alignment with MetFlux standards.
• Support senior scientists in building physiology interpretation layers for the meX knowledge graph and MetSights modules.

Who Were Looking For

Education

• Completed MTech / MS (or final-year students) in:
• Computational Biology
• Bioinformatics
• Biotechnology (with strong quantitative focus)
• Applied Mathematics / Engineering (with biology exposure)

Core Competencies

• Strong understanding of computational and mathematical modeling concepts .
• Good working proficiency in MATLAB and Python .
• Ability to analyze, visualize, and interpret diverse data types.
• Sound statistical foundations for data analysis and inference.
• Ability to read and interpret scientific literature , especially mechanistic and clinical studies.
• Clear scientific writing and structured documentation skills.
• High attention to detail, reproducibility, and data quality.

Nice to Have

• Ability to break down complex modeling pipelines into smaller, interpretable modules.
• Exposure to machine learning in biological or health datasets.
• Familiarity with Git , notebooks, or basic automation workflows.
• Curiosity-driven mindset with evidence-based reasoning.

Why Join Us

• Competitive internship stipend.
• Hands-on experience in a real-world precision health and modeling program .
• Close mentorship from senior scientists working on systems biology and quantitative modeling.
• Learn how data, biology, and computation come together in applied health intelligence.
• Opportunity for full-time conversion based on performance and team fit.

How to Apply

Send your CV (and an optional short note on your interest) to:

Subject Line: Intern Quantitative & Computational Modeling

along with applying to this job post.