Sr Scientist - Materials Science Software

Schrodinger

Hyderabad

On-site

INR 300,000 - 550,000

Full time

8 days ago

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Job summary

Schr dinger in Hyderabad, India, seeks a materials science developer to build advanced Python-based software tools and automated workflows for molecular reactivity and homogeneous catalysis. A PhD in Materials Science, Computational Chemistry, Chemical Engineering, or an equivalent Master's with 5+ years' experience is required; experience with DFT and automation in Python is essential.

You will integrate quantum mechanical engines, ensure production-grade code, and collaborate with global teams

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 (eg, Jaguar, Gaussian, ORCA, Q-Chem) within automated Python workflows.

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.

Skills

Python programming
Workflow tooling
DFT knowledge
Molecular reactivity

Education

PhD in Materials Science, Computational Chemistry, or Chemical Engineering

Tools

Jaguar
Gaussian
ORCA
Q-Chem

Job description

Schr dinger, 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 (eg, 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, Schr dinger 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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