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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong proficiency in Python programming for developing applications that support laboratory research and scientific data analysis, with a solid foundation in mathematical modeling and computational methods. Capable of collaborating with experts to translate research requirements into effective software solutions while ensuring code quality and reliability.
Highest-signal resume keywords
Python ProficiencyNumPy ExperienceSciPy ExperiencePandas ExperienceMathematical Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingNumerical MethodsStatistical AnalysisSoftware TestingComputational ModelingData AnalysisCode ValidationVersion ControlMachine LearningExperimental Data Evaluation
Soft Skills
Analytical ThinkingProblem-SolvingIndependent Work
Tools & Technologies
GitScikit-learnPyTorchLAMMPSGROMACS
Industry Keywords
Computational ChemistryChemical EngineeringMaterials SciencePolymer PropertiesPredictive Modeling
Tech Stack
Tools & technologiesNumpyPandasPythonPyTorchScikit-Learn
About the role
Key responsibilities & impact- Develop and enhance Python-based applications supporting laboratory research and scientific data analysis
- Design and implement tools for processing, analyzing, and interpreting experimental datasets
- Develop numerical and computational solutions for predictive modeling of polymer material behavior
- Evaluate experimental data and identify suitable mathematical and computational approaches
- Implement and adapt computational models based on project objectives and available data
- Validate computational results, assess model accuracy, and ensure solution reliability
- Write clean, maintainable, and well-tested Python code
- Collaborate with scientific and engineering experts to translate research requirements into software functionalities
Requirements
What you’ll need- Strong proficiency in Python, including practical experience with NumPy, SciPy, and pandas
- Hands-on experience developing and maintaining software applications, analytical tools, or computational solutions
- Fundamental understanding of mathematical modeling, statistics, and numerical methods
- Ability to analyze experimental data and evaluate potential computational approaches
- Experience in software testing, code validation, and verifying the accuracy of computational results
- Good knowledge of Git and version control practices
- Strong analytical thinking, problem-solving skills, and ability to work independently
- Experience in computational modeling, computational chemistry, chemical engineering, or materials science is nice to have
- Knowledge of polymer properties and methods used to predict material behavior is nice to have
- Experience fitting computational models to experimental data and evaluating prediction accuracy is nice to have
- Familiarity with machine learning methods and libraries such as scikit-learn or PyTorch is nice to have
- Experience with molecular simulation tools such as LAMMPS or GROMACS is nice to have
- Previous experience developing scientific or engineering software in laboratory or research environments is nice to have
Benefits
Comp & perks- B2B contract
- 30% hybrid arrangement
- 100% remote after onboarding