Senior Scientist (Physiology)

Job Title : Senior Scientist – Physiology

Experience : 4-6 Years

Location : Bengaluru – Rajarajeshwari Nagar / Onsite

Organization : MetFlux Research Pvt. Ltd.

Employment Type : Full-time

About MetFlux Research

MetFlux Research is building the ΩmeX ecosystem - a next-generation, biology-first AI platform integrating systems biology, multi-omics analytics, quantitative modeling, and deep physiology to decode human health states across metabolic, immune, gut, cognitive, skin, women’s health, aging, and developmental physiology.

Our translational R&D vertical, MetSolve, works with nutraceutical, wellness, pharma, diagnsotics, and life-science organizations to model bioactive efficacy, safety, mechanistic pathways, and predictive outcomes.

Our precision-care vertical, MetSights, converts these scientific insights into actionable clinical-grade intelligence for healthcare and wellness professionals.

Role Overview

We are seeking a Senior Scientist (Physiology) to lead the physiological interpretation, mechanistic mapping, and biological validation layers within our multi-disciplinary R&D team.

This role is central to ensuring that our systems-biology models, multi-omics analyses, and mathematical simulations remain biologically correct, physiologically coherent, and translationally meaningful.

The ideal candidate has deep expertise in subclinical physiology, metabolic and immune pathways, and multi-system interactions, and is capable of bridging domain knowledge with computational and modeling teams.

This role directly complements the Systems Biology and the Quantitative Modeling scientific team.

Key Responsibilities

Physiological Interpretation & Mechanistic Mapping

• Lead the translation of biological mechanisms into structured maps, causal pathways, and physiological processes for modeling teams.
• Provide domain expertise for multi-organ and cross-system interactions (metabolic, immune, gut-brain, endocrine, mitochondrial, etc.).
• Validate system-biology model outputs against physiological principles, clinical knowledge, and published verifiable literature.

Multi-Modal Data Integration

Cross-Domain Research

Collaboration with Modeling & Systems Biology Teams

Scientific Communication & Delivery

Qualifications & Experience

Education

Experience

Technical / Domain Expertise

Soft / Scientific Skills

Attributes We Value

How to Apply

Submit your CV and cover letter to