Drimva

SandboxAQ

Senior Application Scientist, Process Chemical Discovery

$134K–$252K

United States · Remote · Senior · Full-time · Posted Sep 30, 2026

Experience
3+ years of post-PhD experience (or equivalent).
Education
PhD in Chemistry, Chemical Engineering, Materials Science, or a related field.

About the job

Bridge generative chemistry discovery and partner validation to identify and qualify PFAS-lean or PFAS-free materials for semiconductor manufacturing.

What you'll do

  • Work with external partners to define target specifications, constraints, and qualification criteria.
  • Run discovery workflows, assess and rank candidate compounds, and deliver shortlists for experimental validation.
  • Translate partner results into actionable improvements and align computational targets with partner requirements.

What they ask for

  • PhD in Chemistry, Chemical Engineering, Materials Science, or a related field.
  • 3+ years of post-PhD experience (or equivalent) in industrial or applied R&D developing, formulating, or qualifying high-purity performance materials or formulations.
  • Familiarity with process-material performance and EHS specifications; experience bridging experiment and computation on application-driven projects with external partners.
  • Proficiency in Python and familiarity with generative molecular design, high-throughput virtual screening, or ML property prediction for molecules and materials.

Nice to have

  • Experience defining qualification protocols or reliability criteria with fabs, OEMs, or chemical suppliers; hands-on PFAS phase-out or fluorine-free reformulation experience.
  • Working knowledge of semiconductor unit processes; publications or patents in relevant fields; experience in a CHIPS Act or federally funded R&D program.

Pay

$134K – $252K • Multiple Ranges (base salary)

Tools

Python, generative-ML, DFT, molecular dynamics, Large Quantitative Models

AI focus

Operate generative chemistry discovery workflows and assess candidate compounds, collaborating with generative-ML and simulation teams.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)