Senior Scientist

Job Title: Senior Scientist – PhysiologyExperience: 4-6 YearsLocation: Bengaluru – Rajarajeshwari Nagar / OnsiteOrganization: MetFlux Research Pvt. Ltd.Employment Type: Full-timeAbout MetFlux ResearchMetFlux 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 OverviewWe 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 ResponsibilitiesPhysiological Interpretation & Mechanistic MappingLead 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 IntegrationInterpret clinical biomarkers, metabolomics, microbiome patterns, imaging markers (DXA), genetics, and exposome data from a physiology lens.Identify subclinical drifts, compensatory mechanisms, and early-stage dysfunctions relevant to wellness and chronic-disease progression.Cross-Domain ResearchApply physiological knowledge across wide-ranging domains, such as: Metabolic health & energy regulation; Immune-inflammatory pathways; Gut physiology & host–microbiome interactions; Cognitive / neuro-metabolic physiology; Skin & barrier physiology; Women’s health & child development; Aging physiology & resilience pathwaysCollaboration with Modeling & Systems Biology TeamsConvert physiological insights into structured inputs for multi-scale models, ontologies, and simulation pipelines.Partner with systems biologists, mathematical modelers, and clinical scientists to: define constraints; annotate pathways; design validation layers; interpret model predictionsContribute to building the ΩmeX physiological ontology & knowledge graph across multiple health domains.Scientific Communication & DeliveryDraft mechanistic rationales, physiological summaries, white papers, and scientific reports for internal and client-facing work.Assist MetSolve R&D teams in shaping scientific narratives for nutraceutical/functional food efficacy, mode-of-action, and safety.Support proposal writing, grant submissions, and stakeholder communication.Qualifications & ExperienceEducationPhD in: Human Physiology; Systems Physiology; Integrative Biology; Clinical Physiology; Neurosciences / Immunology / Endocrinology (with strong physiology background) or related fieldsExperience5–8 years of research or industry experience applying deep physiological knowledge to multi-system health, clinical interpretation, or translational biology.Experience in multi-disciplinary, research-oriented, or computational biology environments preferred.Technical/Domain ExpertiseStrong grounding in metabolic physiology, immune physiology, and host–microbiome dynamics.Ability to connect mechanistic physiology → phenotype → clinical relevance.Familiarity with omics data interpretation (metabolomics, transcriptomics, microbiome).Experience working with computational or modeling teams (not mandatory but highly preferred).Soft/Scientific SkillsAbility to critically evaluate literature and physiological mechanisms.Strong written and verbal communication.High ownership, scientific rigor, and cross-functional collaboration.Comfortable working in fast-paced, research-driven setupsAttributes We ValueDomain-agnostic curiosity across metabolic, immune, cognitive, skin, and aging physiology.Ability to break down complex physiology into structured, computationally useful frameworks.A systems-thinker who understands compensatory biology, network effects, and subclinical transitions.Passion for translational science and real-world application.How to ApplySubmit your CV and cover letter to talent@metflux.in