Senior Scientist-Modeler

Vantage Research

Chennai District

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

Vantage Research in Chennai is seeking a Scientist-Modeler to build and implement multi-scale models relating to disease areas. The successful candidate will engage in simulations to tackle real-time challenges using solid mathematical principles and programming capabilities.

Ideal qualifications include advanced degrees in quantitative sciences, extensive experience in model development, and excellent communication skills. Join a dynamic team aimed at innovative research solutions.

Qualifications

  • At least 2+ years of experience in a CRO, pharma, or research setting.
  • Proficiency in model simulation using programming languages.
  • Ability to mentor junior scientists and lead projects.

Responsibilities

  • Develop mathematical models to analyze systems' behaviors.
  • Survey literature for biological representation decisions.
  • Summarize research contributions towards project goals.
  • Communicate client needs and facilitate research workflows.

Skills

Mathematical modeling
Data analysis
Programming in Matlab/SciLab/R/Python
Parameter estimation
Nonlinear dynamics
Statistical analysis
Visualization of functions
Excellent communication skills

Education

Bachelor’s/Master’s/PhD in a quantitative discipline

Tools

Matlab
SciLab
R
Python

Job description

Summary

The Scientist-Modeler will be responsible for constructing and implementing multi‑scale models that incorporate biological data across various levels, spanning from the cellular and tissue levels to the organ, patient, and population levels. These models will be specifically tailored to address particular disease areas. The Scientist will use these models to run simulations aimed at solving real‑time challenges. The ideal candidate possesses a robust foundation in mathematical principles and substantial experience in designing and developing multi‑scale models, ideally within a biological or medical context. Proficiency in data analysis, programming, and collaborative research are valuable assets.

Responsibilities
  • Develop mathematical models to analyze dynamical behavior, quantify parameter sensitivities, and general behavior of systems studied.
  • Survey available literature, summaries, and papers to make reasoned decisions on biological representation.
  • Develop tools and scripts to make workflows more efficient.
  • Summarize research steps taken and their contribution to project goals.
  • Communicate with the client research team to identify needs, understand and define a complex research problem, and break it down into a research flow.
  • Communicate effectively with team members and clients and lead the project in alignment with client expectations.
Qualifications For Senior Scientist
  • Bachelor’s/Master’s/PhD in a Quantitative Discipline such as Mechanical/Chemical/Aerospace Engineering, or any other Engineering Major with strong quantitative skills in Mathematics or Physics.
  • At least 2+ years of experience in a CRO, pharma, or research setting within a Quantitative Pharmacology team.
  • Model Development: ODE model building for a given system and proficiency in model simulation using Matlab/SciLab/R/Python.
  • System Identification: Parameter estimation and optimization approaches.
  • Nonlinear dynamics: Evaluation of multiple steady state solutions for a given system, local and global sensitivity analysis.
  • Scientific skills: Visualization of mathematical functions, interpretation of results, drawing inferences, and ability to ask “what‑if” questions.
  • Additional technical skills of value: stochastic simulation approaches, statistics, etc.
  • Excellent written and verbal communication skills.
  • Ability to work independently and as part of an interdisciplinary team.
  • Ability to meet deadlines and work under pressure.
  • Strong analytical and problem‑solving skills.
  • Demonstrated ability to guide and mentor junior scientists with their queries.
  • Demonstrated leadership experience in executing interdisciplinary quantitative projects.
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