ACS International India Pvt. Ltd. (ACSII)

Job Responsibilities: • Materials Solutions Platform Development &amp; Strategic Impact- Collaborate with platform architects, Data Scientists and product managers to define data-driven features for Materials (e.g. polymer selection, formulation prediction, and performance benchmarking) across multiple application segments.• Analyze and interpret materials or polymer simulation data (MD, DFT, coarse-grained) using LAMMPS, GROMACS, Materials Studio, VASP and experimental data from multiple sources to identify meaningful PSPP correlations. • Develop and structure a PSPP schema that integrates simulation descriptors, experimental properties, and processing metadata using Python, pandas, NumPy, Matplotlib. • Define entity relationships and standard vocabularies for PSPP integration with ontology and schema development teams. • Collaborate with data scientists and informatics engineers to embed PSPP relationships into knowledge graphs and search platforms using Neo4j, GraphQL, RDF. • Support predictive model development and intelligent search tools that leverage structured PSPP data using scikit-learn, TensorFlow, PyTorch.• Document simulation workflows, model assumptions, and data lineage for scientific traceability and reproducibility using Jupyter Notebooks, GitHub, Docker.Ideal Candidate will have • Ph.D. in Polymer Science, Materials Science, Computational Chemistry, Chemical Formulation, Materials Engineering or related field with 3–7 years of relevant experience in industry like Personal Care &amp; Cosmetics, Adhesives, Packaging etc.• Strong foundation in materials (e.g. polymer) simulation and data analysis techniques and ability to relate them to experimental trends and data. • Skilled at identifying structure–property–processing–performance patterns from diverse data sources. • Familiarity with materials informatics framework, search platforms, or AI-driven tools. • Strong communication skills for cross-functional collaboration with informatics, data science, and product teams. • Bonus: Experience working with schema development (XML, JSON, OWL) or materials ontology platforms like Protégé. Job Requirements: • Ph.D. in Computational Polymer Science/ Materials Science/ Chemistry/ Chemical Formulation/ Materials Engineering/ Chemical Engineering with 3-5+ years of experience in materials (e.g. polymer) simulation and data analysis, including molecular dynamics or multi-scale modeling. • Proficiency with LAMMPS, GROMACS, VASP, Materials Studio, and data processing tools (Python, pandas). • Demonstrated ability to work with both simulation and experimental data to draw scientific relationships. • Understanding of informatics tools, ontologies (OWL, RDF), and schema development (XML, JSON) (preferred but not mandatory). • Proficiency in Python or equivalent scripting for data processing and automation. • Familiarity with materials informatics framework, search platforms, or AI-driven tools