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Senior Scientist (Systems Biology)

Senior Scientist (Systems Biology)

MetFlux ResearchGhaziabad, IN
10 hours ago
Job description

About MetFlux Research

Job Title : Senior Scientist (Systems Biology) : 5-8 Years of Experience

Location : Bengaluru – Rajarajeshwari Nagar / Onsite

Organization : MetFlux Research Private Limited

Employment Type : Full-time

About Us

MetFlux Research is building the ΩmeX ecosystem — a next-generation Biology-first AI integrating systems biology, in-silico modeling, and multi-model analytics to decode metabolic and immune health mechanisms that drive wellness, aging, and chronic-disease solutions.

Our translational R&D arm, MetSolve , partners with nutraceutical, wellness, and life-science organizations to model efficacy, safety, and mechanistic pathways of bioactive compounds and functional formulations. Parallelly, MetSights brings this intelligence into precision-care tools for healthcare and wellness professionals.

Role Overview

We are seeking a Senior Scientist (Systems Biology) who can lead the design, execution, and interpretation of computational systems-biology models across multiple physiological domains . This is a key role that blends computational modeling, physiology, multi-omics integration, and translational science.

The ideal candidate is domain-flexible, methodologically strong, and capable of guiding an interdisciplinary team while delivering scientific rigor and actionable insights for both internal platform development and external R&D projects.

Key Responsibilities

Systems Biology & In-Silico Modeling

  • Develop and refine multi-scale, constraint-based, and mechanistic models for human physiology (metabolic, immune, cognitive, skin, gut, or other relevant domains).
  • Integrate omics (metabolomics, genomics, transcriptomics, microbiome), clinical markers, and literature-curated mechanisms into unified computational frameworks.
  • Derive mechanistic hypotheses and translational insights for nutraceutical, functional food, and wellness R&D projects.

Cross-Domain Research & Flexibility

Adapt systems-biology approaches to diverse health contexts :

  • Metabolic health & energy pathways
  • Immune & inflammation processes
  • Gut–microbiome interactions
  • Cognitive development & neuro-metabolic links
  • Skin-health & barrier physiology
  • Women’s health & child nutrition
  • Aging systems biology
  • Rapidly learn new domains and translate biological knowledge into computational form.
  • Leadership & Collaboration

  • Lead a multi-disciplinary scientific team, ensuring reproducibility, documentation, and delivery quality.
  • Work closely with mathematical modeler, physiologists, nutrition & clinical scientists teams.
  • Contribute to building the domain specific ΩmeX knowledge graph, physiological ontologies, and multi-domain modeling pipelines for scalable MetSolve offerings.
  • Scientific Communication & Delivery

  • Prepare high-quality scientific reports, client presentations, white papers, and publication-ready material.
  • Support proposal development, grant applications, and strategic collaborations
  • Qualifications & Experience

  • PhD / Post-Doctorate in Systems Biology, Computational Biology, Quantitative Physiology, Bioengineering, or related domain.
  • 5-8 years of experience in systems-biology modeling, multi-scale data integration, or computational physiology.
  • Proven expertise in : Multi-organ or multi-pathway physiological modeling, Host–microbiome interaction modeling, Mechanistic or kinetic models (QSP preferred but not mandatory)
  • Strong proficiency in MATLAB / Python , with ability to design end-to-end modeling workflows.
  • Ability to mentor junior researchers and lead multi-domain scientific workstreams.
  • Strong writing, documentation, and scientific interpretation skills.
  • Attributes We Value

  • Domain-agnostic scientific curiosity with ability to work across metabolic, immune, cognitive, skin, and developmental physiology projects.
  • Systems-level thinker capable of connecting mechanism → phenotype → clinical relevance.
  • High ownership, detail orientation, and scientific rigor.
  • Ability to translate deep models into practical insights for R&D and product development.
  • Compensation & Growth

  • A compensation structure that is fair, competitive, and aligned with expertise and responsibility .
  • Opportunity to grow into Scientific Manager & Leadership roles as MetSolve expands.
  • Work on impactful, multi-domain projects bridging mechanistic biology, computation, and product innovation.
  • A deeply collaborative environment across science, technology, and translational healthcare.
  • Why Join Us

  • Build next-generation multi-domain systems-biology models underlying the precision-health revolution.
  • Contribute to impactful projects in wellness, product innovation, and computational healthcare.
  • Work with a deeply interdisciplinary team at the intersection of AI, biology, and clinical translation.
  • Shape the future of the ΩmeX ecosystem , influencing scientific roadmaps across MetSolve and MetSights.
  • Interested candidates may apply through this post and send cover letter and CV to talent@metflux.in

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