Senior Research Scientist, Catalyst Discovery (AI)

TL;DR

Senior Research Scientist, Catalyst Discovery (AI Simulation): Leading client engagements and deploying state-of-the-art computational workflows to discover and optimize novel heterogeneous catalyst materials with an accent on bridging proprietary simulations and industrial needs. Focus on executing technical innovation in catalytic materials and supporting business development for pre-sales engagements.

Location: Remote (United States). Compensation is tiered based on geographic location within the US, with Tier 1 for candidates within 75 miles of San Francisco, Los Angeles, Seattle, New York, Boston, and Washington, DC, and Tier 2 for all other US locations.

Salary: $146,644–$252,000

Company

hirify.global is a high-growth company delivering AI solutions that address global challenges, leveraging Large Quantitative Models (LQMs) in various sectors.

What you will do

• Lead high-impact client engagements focused on novel catalyst material discovery.
• Deploy multiscale computational workflows to simulate reactivity and dynamics.
• Support commercial growth through technical diligence and proposal development.
• Direct technical collaborations with industrial partners and serve as primary lead for project delivery.
• Prepare high-impact reports and presentations for stakeholders.
• Mentor junior scientists and interns in catalysis and reaction engineering.

Requirements

• PhD in Chemical Engineering, Chemistry, or an equivalent discipline (or equivalent practical experience).
• 3+ years of industrial R&D experience specifically in heterogeneous catalysis and/or reaction engineering.
• Direct experience developing and utilizing microkinetic models in collaboration with lab experiments for catalyst design.
• Familiarity with modern atomistic simulation methods for catalyst discovery.
• Strong publication record demonstrating interdisciplinary collaboration.
• Basic programming skills, including familiarity with Python.

Nice to have

• Proven experience supporting experimental groups with DFT-based atomistic simulations.
• Hands-on experience or familiarity with experimental methods (synthesis, testing, and characterization).
• Advanced software development skills in a High-Performance Computing (HPC) environment for materials analysis.
• Familiarity with recent developments in machine-learned force fields for materials discovery.
• Willingness to travel occasionally for in-person meetings with industrial partners.

Culture & Benefits

• Competitive base salary, performance-based incentives, and equity participation.
• Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions.
• Retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
• Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements.
• Opportunities for continuous learning and growth through on-the-job development and cross-functional collaboration.
• A culture of belonging and respect, fostering diverse perspectives.