Lead R&D Engineer/Scientist

We have an excellent career opportunity for a Lead R&D Engr/Scientist - Digital Solutions to join Honeywell UOP’s Development organization. In support of UOP’s digital solutions strategy, this role will lead the development of process performance data analytics and connected solutions. These digital tools will be used to advise and optimize the commercial operations and profitability of UOP’s portfolio of technologies deployed at customer operating sites. The Lead R&D Eng/Scientist will coordinate technical strategy with business colleagues and lead cross-functional teams to deliver applications that provide significant value for our customers.

You will report directly to our Director of Digital Development, and you’ll work out of our Des Plaines, IL, or Houston, TX, or Tulsa, OK, or Charlotte, NC location on a Hybrid work schedule.

Hybrid Work Schedule Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F

KEY RESPONSIBILITIES

• Lead technology development programs to deliver digital data analytics and process optimization tools for UOP’s portfolio of process technologies, following HON UOP NPI work process
• Effectively coordinate cross-functional technology development teams, including specialists from R&D, Technical Service, and Business.
• Create technical strategy with Business to establish and prioritize technical definition and content of the solutions to maximize customer value.
• Identify new approaches in data science, capabilities, and tools for use by UOP internal Specialists and new product development
• Recognize and implement improved work processes, tools, and infrastructure for digital solution development.
• Mentoring and coaching engineers in supporting development of data analytics
• Interaction with customers to identify and understand their needs, and to present your proposed/developed solutions

YOU MUST HAVE

• Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering (Chemical preferred) or mathematics
• 5+ years of experience in the refining, petrochemicals, and or/gas processing applications
• 2+ years of Python programming experience or demonstrated coding aptitude

WE VALUE

• PhD or Advanced Degree.
• Prior experience in designing, operating, and/or servicing UOP licensed process units.
• Experience with multivariate statistics; experimental design; equation-based modeling and/or data analytics including cleansing, manipulating, filtering and selection; parameter estimation, and numerical methods
• Skills in machine learning, data science tools, optimization techniques and algorithms
• Python programming experience including pandas & NumPy packages or equivalent software development including object-oriented programming methods and cloud-based services
• Strong interpersonal and project management skills and the capability to lead projects effectively across multiple functional departments.
• Excellent written and verbal communication skills to ensure solution definition and clear project requirements.
• Strong business acumen
• Strong interest in R&D work, self-starting and demonstrated leadership skills.
• Process Modeling experience with commercial software (UniSim, Hysys, Aspen+, Pro/II, etc.)
• Prior kinetic modeling / yield estimating experience for UOP process units

U.S. PERSON REQUIREMENTS

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization

The annual base salary range for this position is $142K - $177K . Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations

BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here (https://benefits.honeywell.com/)

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: April 30, 2026.

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here (https://www.honeywell.com/us/en)

THE BUSINESS UNIT

Honeywell Performance Materials and Technologies (PMT) is a global leader in materials, chemicals, and technologies that improve the quality and performance of products and processes across multiple industries. PMT focuses on delivering innovative solutions that enhance safety, reliability, and efficiency for customers worldwide. With a commitment to sustainability and cutting-edge research, PMT drives advancements that address complex challenges in energy, manufacturing, and beyond.