Senior Scientist - Materials Science Software Hyderabad

Schrödinger

Hyderabad

Sur place

INR 11 572 000 - 17 358 000

Plein temps

Il y a 10 jours

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Résumé du poste

Schrödinger, a science and technology leader, seeks a materials science developer to build automated Python workflows for molecular reactivity and catalyst design. The ideal candidate holds a PhD in Materials Science, Computational Chemistry, or Chemical Engineering (or a Master’s with 5+ years) and has deep DFT experience integrated into scalable software.

You will bridge modeling algorithms with user interfaces, collaborate with teams in the USA and globally, and contribute production-grade

Qualifications

  • PhD in Materials Science, Computational Chemistry, Chemical Engineering, or related field.
  • Strong practical background in density functional theory (DFT) applied to reaction pathways.
  • Experience utilizing electronic structure packages within automated Python workflows.

Responsabilités

  • Design, build, and deploy automated Python workflows for molecular catalyst screening and reaction-network analysis.
  • Bridge materials modeling algorithms with intuitive user interfaces to enable property predictions and reactivity profiling.
  • Collaborate with teams to integrate quantum mechanical calculation engines into broader materials science platforms.
  • Maintain high-quality, reusable software codebases for production-grade toolsets.
  • Collaborate daily with teams based in the USA and globally.

Formation

PhD in Materials Science/Computational Chemistry/Chemical Engineering
Master’s degree +5 years experience

Outils

Jaguar
Gaussian
ORCA
Q-Chem

Description du poste

Job Description:

Schrödinger, a science and technology leader with over 35 years of experience providing solutions for atomic-scale modeling and physics-based chemical simulations, is seeking a materials science developer to build advanced software tools and automated workflows for molecular reactivity and homogeneous catalysis.

We are seeking a scientific developer with a PhD (or Master’s degree with 5+ years of relevant experience) in Materials Science, Computational Chemistry, or Chemical Engineering, combining deep domain knowledge in density functional theory (DFT) reactivity with strong software engineering skills in Python to accelerate catalyst design and chemical process modeling.

Key Responsibilities
  • Design, build, and deploy automated Python based software workflows for molecular catalyst screening, transition state locator algorithms, and reaction network analysis.
  • Bridge materials modeling algorithms with intuitive user interfaces to streamline molecular property predictions and reactivity profiling.
  • Collaborate with multiple teams to integrate quantum mechanical calculation engines into broader materials science platforms.
  • Maintain high-quality, reusable software code bases and contribute to collaborative, production-grade toolsets.
  • Collaborate closely with teams based in the USA and globally on a daily basis.
Required Qualifications
  • PhD in Materials Science, Computational Chemistry, Chemical Engineering, or related field (or a Master’s degree with 5+ years of relevant industry/research experience).
  • Strong practical background in density functional theory (DFT) applied to reaction pathways, organometallic complexes, or molecular reactivity.
  • Experience utilizing standard electronic structure packages (e.g., Jaguar, Gaussian, ORCA, Q-Chem) within automated Python workflows.
Desirable Qualifications
  • Experience with reaction network generation, transition state modeling, or microkinetic simulation tools.
  • Familiarity with graphical user interface (GUI) development or building interactive computational workflows.
  • Exposure to machine learning/data science integration for molecular reactivity screening and automated workflows for biodegradability and environmental sustainability assessment.
  • Knowledge of microkinetic modeling modules for homogeneous catalysis and multi-scale chemical reaction engineering.

As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the companys mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, or sexual orientation. To us, "diversity" isnt just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesnt mean better headlines or public images - it means increased adaptability and profitability.

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