Senior / Associate Scientist – Quantitative & Computational Biology

Location: Bengaluru – Rajarajeshwari Nagar / Onsite

Organization: MetFlux Research Private Limited

Employment Type: Full-time engagement (initial 6-month paid term, with potential transition to regular employment)

About MetFlux Research

MetFlux Research is building Ωmex — a biology-grounded intelligence platform integrating systems engineering principles, multiscale and multi-type biological knowledge graphs, qualitative and quantitative analytics, and mechanistic modeling to understand human physiology and enable predictive research for novel health product formulation and personalization.

Our R&D; discovery-focused vertical MetSolve offering supports R&D; teams across nutraceutical, pharmaceutical, wellness, and life-science organizations by integrating biological evidence, systems-level mechanistic modeling, and quantitative simulations to investigate mechanisms of action, predict physiological responses, evaluate ingredient and formulation-level interactions, and guide evidence-informed product development and optimization.

Our personalization-focused vertical MetSights integrates clinical, biological, and lifestyle data with systems-level physiological analysis to assess individual health risks, investigate underlying physiological dysfunctions, and guide personalized nutrition, lifestyle, and supplementation strategies for healthcare and wellness professionals.

Our interdisciplinary teams bring together biology, mathematics, computation, and translational R&D; to translate biological questions and experimental evidence into quantitative models, biologically interpretable predictions, and actionable research insights.

Role Overview

We are seeking Associate and Senior Scientists – Quantitative & Computational Biology to join our interdisciplinary research team, primarily contributing to MetSolve's mechanistic and in-silico R&D; programs.

The roles involve translating biological mechanisms, physiological processes, and experimental evidence into quantitative and computational models to investigate biological responses, evaluate hypotheses, and generate interpretable predictions.

We welcome candidates with relevant Master's, PhD, or industry research experience, demonstrating strong scientific aptitude, quantitative reasoning,



and computational modeling skills. Depending on seniority, candidates will be expected to take ownership of scientific workstreams, with senior scientists additionally guiding modeling strategies and mentoring researchers.

Key Responsibilities

Quantitative & Computational Modeling

- Develop, simulate, and validate mathematical and computational models of biological and physiological processes.
- Translate biological mechanisms, experimental evidence, and pathway interactions into quantitative modeling frameworks.
- Apply mechanistic, kinetic, dynamic, statistical, or data-driven approaches as appropriate to research objectives.
- Perform parameter estimation, sensitivity analysis, and model validation to generate biologically interpretable insights.
- Contribute to MetSolve R&D; projects across metabolic, immune, gut microbiome, skin, and other physiological domains.

Biological Evidence & Experimental Integration

- Integrate experimental, clinical, and multi-omics evidence into modeling workflows.
- Critically evaluate experimental findings, scientific literature, and biological assumptions.
- Assess model predictions, uncertainties, and limitations to inform further research and experimental validation.

Scientific Ownership & Collaboration

- Own assigned research workstreams from problem formulation through execution, interpretation, and documentation.
- Collaborate with systems biologists, physiologists, and other scientists to ensure scientific rigor.
- Contribute to reproducible modeling workflows and reusable capabilities within ΩmeX.
- Communicate research findings through technical reports and scientific discussions.
- Senior Scientists: Additionally lead modeling strategies, review scientific outputs, and mentor junior researchers.

Qualifications & Experience

Education:

- Master's / MTech / MS / PhD in Computational Biology, Systems Biology, Biotechnology, Bioengineering, Applied Mathematics,



or related quantitative disciplines.

Experience:

- Associate Scientist: Typically 1–3 years of relevant research or industry experience.
- Senior Scientist: Typically 5+ years, with demonstrated scientific independence and ownership of modeling projects.
- Relevant doctoral research experience will be considered alongside industry experience.

Core Competencies

- Strong foundations in quantitative and computational modeling of biological systems.
- Proficiency in MATLAB and/or Python for scientific computing and simulations.
- Understanding of physiology, biochemical pathways, and experimental biology.
- Familiarity with numerical methods, differential equations, parameter estimation, or statistical modeling.
- Ability to interpret scientific evidence, assess biological plausibility, and communicate research findings.
- Strong analytical reasoning, scientific rigor, and ownership of results.

Nice to Have

- Experience with mechanistic modeling, systems pharmacology, or multiscale physiological models.
- Exposure to multi-omics integration, biological networks, or host–microbiome modeling.
- Research experience in metabolic, immune, gut microbiome, or skin biology.
- Exposure to nutraceutical, pharmaceutical, or translational R&D.;

What We Value

Scientific curiosity, quantitative reasoning, research ownership, reproducibility, and the ability to work effectively across biological and computational disciplines.

Why Join Us

Work on real-world mechanistic and predictive R&D; projects, collaborate with interdisciplinary scientists, and contribute to building the computational and physiological modeling capabilities of Ωmex.

Engagement & Growth

Initial six-month paid, full time engagement, with potential transition to regular employment based on scientific contributions, performance, and organizational requirements.

Compensation will be aligned with experience and responsibilities.

How to Apply

Apply through this job post or email [email protected].

Subject: Quantitative & Computational Biology – Associate / Senior Scientist

Please share your CV and a brief description of a relevant biological modeling project, highlighting your scientific approach and individual contribution. Publications, GitHub

📌 Scientist – Quantitative & Computational Biology (Bengaluru)
🏢 MetFlux Research
📍 Bengaluru