Thermodynamic Model Developer at OLI
Parsippany, NJ
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Aug 11, 2026
Parsippany, NJ
Sep 24, 2026
What this job asks for AI summary
This role at a chemistry simulation software company involves developing and advancing high-fidelity thermodynamic, transport, and electrochemical models embedded in industrial process simulation software. The position sits at the intersection of chemical engineering science and scientific programming, requiring deep expertise in electrolyte thermodynamics, phase equilibria, and corrosion modeling. It suits a PhD-level researcher with hands-on experience in mechanistic model development and scientific computing who wants to apply that work to real industrial problems across sectors like oil and gas, water treatment, and power generation.
Senior level · New York-Newark-Jersey City, NY-NJ-PA · Doctorate required · Full-time
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How this req sits in the market our data
Roughly 1,250 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (computer occupations, all other). range 930–2,350
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $129,701 (middle half $84,324–$174,781).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 13, 2026. It is a model, not a headcount.
Why we read it this way (7)
This role is primarily a scientific/domain-expert position in chemical engineering thermodynamics — the software and programming aspects are real but secondary to deep physical science expertise. No single SOC code fits cleanly: 15-1299 (Computer Occupations, All Other) is used as the closest match for a scientific software/model developer role; 15-2051 (Data Scientists) is the runner-up given the regression, ML, and data modeling components.
The scientific programming requirement lists C++, Python, MATLAB, and Fortran as a group with 'e.g.' framing, suggesting any one or more would satisfy the requirement rather than all being independently mandatory. They are captured as a cluster of interchangeable alternatives; C++ and Python are marked required as the most commonly expected pair, while MATLAB and Fortran are marked preferred.
Process simulation platforms (ASPEN, HYSYS, Pro-II, OLI) are listed under Technical Skills with 'e.g.' framing, indicating familiarity with at least one is expected but no single platform is a hard gate — marked preferred.
AI/ML (including hybrid models and PINNs) appears under Technical Skills but reads as a differentiator rather than a strict gate — marked preferred.
Transport and fluid flow modeling is explicitly called 'a plus' in the posting.
Postdoctoral experience is listed as preferred, not required.
No compensation figures are provided beyond a general reference to a competitive package.
Read the full posting
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