Computational Scientist I/II, Soft Matter Formulations - Solids and Melts (AI)

TL;DR

Computational Scientist I/II, Soft Matter Formulations - Solids and Melts (AI/Materials Science): Developing ML models and workflows to accelerate discovery across polymeric and soft material systems with an accent on structure-property relationships and viscoelastic materials. Focus on bridging domain expertise in polymer physics and rheology with computational execution to optimize formulation and processing.

Location: Cambridge, MA USA. (International candidates are considered with region-specific benefits).

Salary: $118,800 - $187,000 USD

Company

hirify.global is building Scientific Superintelligence to autonomously execute the scientific method and accelerate discoveries in medicine, materials, and energy.

What you will do

• Develop ML models for polymers, elastomers, gels, hot-melts, adhesives, and other soft materials.
• Build representations connecting formulation variables, processing history, morphology, and end-use properties.
• Create structure-property models using experimental, simulation, rheological, and thermal datasets.
• Design active learning workflows to prioritize physical formulation experiments based on lab constraints.
• Develop tools to help scientists interpret material data and prioritize composition or processing decisions.
• Partner with experimental teams to align models with measurement workflows and performance requirements.

Requirements

• PhD in chemical engineering, materials science, physics, applied mathematics, or related field (or Master's with equivalent experience).
• Experience applying machine learning to scientific, materials-focused, or polymer problems.
• Domain expertise in polymer science, elastomers, rheology, or soft matter physics.
• Strong Python skills and experience with modern ML frameworks.
• Ability to use simulations and mechanistic understanding to inform modeling choices.
• Strong communication skills for collaboration with cross-functional teams.

Nice to have

• Experience with experimental data from adhesives, composites, powders, or semi-solids.
• Familiarity with cure- or processing-aware representations for material datasets.
• Background in active learning systems that close the loop with high-throughput experimentation.
• Hands-on experimental or computational experience in soft material formulation domains.

Culture & Benefits

• Competitive base compensation with bonus potential and early-stage equity.
• Comprehensive medical, dental, and vision coverage for US employees.
• Flexible time off with generous company-wide holidays.
• Paid parental leave and an educational assistance program.
• Commuter benefits and company-subsidized lunch for office-based employees.