Senior Scientist

About MetFlux Research Job Title: Senior Scientist (Systems Biology): 5-8 Years of Experience MetFlux Research Private Limited Employment Type: Full-time 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. 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. 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: Skin-health & barrier physiology Women’s health & child nutrition Aging systems biology 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. 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. ~ 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. 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. 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