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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing multiscale computational models for complex diseases, with a strong foundation in mathematical modeling and proficiency in computational tools like MATLAB, Julia, and R. Capable of effectively communicating modeling predictions and collaborating within multidisciplinary teams.
Highest-signal resume keywords
PhD Or Master's Degree In Systems PharmacologyMathematical Modeling Using Differential EquationsMachine Learning ExperienceComputational Tools: MATLAB, Julia, RKnowledge Of Immuno-Oncology Or Neuroscience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Multiscale Computational ModelingDisease Model GenerationMechanistic/Multiscale ModelsQuantitative Systems PharmacologyData AnalysisSimulation Result AnalysisModel Performance ResolutionDocumentation MaintenancePharmacometric ExperiencePathophysiology Learning
Soft Skills
Excellent Oral CommunicationExcellent Written CommunicationDetail-OrientedHighly MotivatedIndependent ResearcherCollaborative Teamwork
Industry Keywords
Drug DiscoveryDrug DevelopmentPharmaceutical IndustryPreclinical Data AnalysisClinical Data Analysis
About the role
Key responsibilities & impact- Develop and apply multiscale computational models of complex diseases based on detailed biological mechanistic knowledge
- Support model-informed drug discovery and development across the R&D portfolio
- Survey literature to understand critical physiological processes and identify suitable mechanistic elements, data, parameters and assumptions
- Identify and analyze suitable preclinical and clinical data to inform modeling activities
- Analyze simulation results and develop strategies to resolve model performance and accuracy issues
- Maintain extensive documentation of model development and data analysis
- Maintain quantitative systems pharmacology expertise through comprehensive education
- Communicate modeling predictions to key stakeholders
Requirements
What you’ll need- PhD or Master's degree in systems pharmacology, biology, computational biology, systems biology, biomedical engineering, or a related field
- For candidates with PhD degrees: Minimum 2 years of hands-on experience generating disease models, mechanistic/multiscale models or QSP models
- For candidates with Master degrees: Minimum 4 years of experience generating disease models, mechanistic/multiscale models or QSP models in industry/pharma setting
- Proficiency in mathematical modeling using differential equations
- Machine learning experience
- Extensive experience in computational tools such as MATLAB, Julia and R (MATLAB preferred)
- Excellent oral and written communication skills
- Ability to quickly learn pathophysiology in indications of interest
- Highly motivated, detail-oriented, and independent researcher
- Able to thrive in a collaborative, multi-disciplinary team environment
- Strong commitment to on-the-job-training
- Knowledge of Immuno-oncology or Neuroscience
- Record of increasing responsibility and independence, developing and applying QSP approaches
- Experience in drug discovery/development a plus, especially in pharmacometrics
Benefits
Comp & perks- Employees may be eligible to participate in Company employee benefit programs
- Development opportunities designed to match your ambition
- Stretch roles and cross-functional moves
- Inclusive, high-performing teams
- On-the-job training