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.