Materials AI/ML Scientist – Adhesives R&D (On-site MN)

Scorpion Therapeutics

Minnesota

On-site

USD 90,000 - 130,000

Full time

14 days+
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Job summary

Scorpion Therapeutics is seeking a Materials AI/ML Specialist to accelerate formulation science and new product development using AI/ML techniques. You will apply advanced data-driven methods to guide experimental planning for adhesives and PSA tapes.

The role involves hands-on formulation and testing, data analysis, and building digital tools for planning and knowledge sharing, with independent work in a fast-paced R&D environment and cross-functional collaboration in Maplewood, MN.

Qualifications

  • Bachelor's in Chemistry, Materials Science, Chemical Engineering, or related field.
  • 3+ years in product development, formulation, or experimental lab work.
  • 2+ years using AI/ML/data science tools in lab settings.
  • Strong communication skills.
  • Ability to manage multiple projects.

Responsibilities

  • Apply AI/ML methods (e.g., Bayesian optimization, cheminformatics, active learning) to guide experimental planning for adhesives and pressure-sensitive tapes.
  • Perform hands-on formulation and testing (overlap shear, DMA, handling strength).
  • Analyze data for insights.
  • Develop and implement digital tools for experiment planning and knowledge sharing.
  • Communicate findings to cross-functional teams.
  • Operate independently in a fast-paced R&D environment.

Skills

AI/ML in lab
Lab work experience
Communication skills
Project management

Education

Bachelor's in Chemistry, Materials Science, Chemical Engineering, or related

Tools

Python
Bayesian optimization
LLMs

Job description

Scorpion Therapeutics is seeking a Materials AI/ML Specialist to accelerate formulation science and new product development using AI/ML techniques. You will apply advanced data-driven methods to guide experimental planning for adhesives and PSA tapes.

The role involves hands-on formulation and testing, data analysis, and building digital tools for planning and knowledge sharing, with independent work in a fast-paced R&D environment and cross-functional collaboration in Maplewood, MN.

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