Intern – Quantitative and Computational Modeling

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About MetFlux Research

ΩmeX ecosystem

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

biology, mathematics, data, and real-world health applications

Role Overview

Intern – Quantitative & Computational Modeling

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

fresh graduates

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 ΩmeX knowledge graph and MetSights modules.

Who We’re 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:

talent@metflux.in

Subject Line:

along with applying to this job post.