R&D Commercial Product Development Engineer Intern

GAF; Parsippany-Troy Hills (NJ); In loco; USD 30.000 - 39.000; Tempo pieno

Descrizione del lavoro

GAF is seeking a motivated intern for 3 months in the R&D Digital Transformation group. The role blends experimental formulation chemistry with data science, self-service ML, and lab automation. You will aggregate data, build models, run DOE campaigns, and shape workflows in LIMS/ELN alongside scientists and leaders.

The intern will standardize data, apply inverse predictions, and support knowledge management while gaining exposure to industrial chemistry workflows.

Competenze

• Pursuing a Bachelor's degree in Chemistry, Chemical Engineering, Materials Science, or related field.
• Strong Python programming skills and familiarity with DOE tools.
• Experience with Google Workspace and basic AI/ML concepts.

Mansioni

• Extract, clean, and standardize historical formulation datasets from various sources.
• Build predictive ML models and design DOE campaigns for formulation data.
• Develop analytical summaries and dashboards for R&D stakeholders.
• Assist in configuring LIMS/ELN workflows and data pipelines.
• Coordinate end-to-end data workflows linking materials to properties.

Conoscenze

Python

DOE tools

Google Workspace

Generative AI exposure

Communication

Formazione

Bachelor's in Chemistry or related

Chemical Engineering

Materials Science

Strumenti

LIMS/ELN experience

Data visualization tools

Descrizione del lavoro

Job Title: R&D Commercial Product Development Engineer Intern

At GAF, we cover more than just buildings. We cover each other. Under this roof, you will have the tools and resources you need to begin, grow, and develop in your career. Under this roof, you will experience our incredible culture and be empowered to support your teammates, your customers and especially your community through collaboration. Under this roof, we define the future while leading the present through our commitment to continuous improvement and never being satisfied with the status quo. We are GAF. And under this roof, we protect what matters most.

Introduction:

At GAF, we cover more than buildings. We cover each other. No matter what role, tenure, or track, under this roof you are empowered to be there for your teammates, your customers, and especially your community. Under this roof, we don't back down from hard work- we support one another in pursuit of something bigger. We define the future while leading the present. And under this roof, we own our opportunities. Becoming the market leader only happens when everyone feels they have the opportunity, and the support, to thrive. We are GAF. And under this roof, we protect what matters most.

Summary:

We are seeking a highly motivated and technically minded candidate for a 3-month internship within our R&D Digital Transformation group. This role bridges experimental formulation chemistry with modern data science, self-service machine learning, and laboratory automation platforms. Working directly alongside formulation scientists and R&D leaders, the intern will aggregate and refine historical trial data, build predictive machine learning models, design adaptive Design of Experiments (DOE) campaigns, and establish structured workflows within our Laboratory Information Management System (LIMS) and Electronic Lab Notebooks (ELN).

Essential Duties:

• Extract, clean, and standardize complex historical formulation datasets from legacy spreadsheets, LIMS, and experimental records.
• Perform automated statistical analyses to uncover critical ingredient-property relationships.
• Develop analytical summaries and interactive dashboards to present insights to R&D stakeholders.
• Train, evaluate, and fine-tune supervised machine learning models to accurately predict physical, mechanical, and rheological material properties.
• Apply inverse prediction algorithms, optimization techniques, and grid searches to identify candidate formulation recipes.
• Design multi-run DOE test protocols that effectively balance data exploration with practical laboratory validation.
• Assist in configuring LIMS templates and structured ELN procedures to streamline benchtop data capture.
• Standardize end-to-end work orders connecting raw material formulations, processing steps, and characterization results into a seamless data pipeline.
• Support digital knowledge management initiatives by organizing, tagging, and integrating technical literature, reports, and standard operating procedures into central repositories.

Under This Roof, We Require

• Education: Currently pursuing a Bachelor's degree in Chemistry, Chemical Engineering, Materials Science, or a related scientific/engineering discipline.
• Programming & Software: Proficiency with Python, statistical DOE tools, Google Workspace, and exposure to generative AI platforms.
• Domain Knowledge: Solid foundational knowledge of general chemistry, material science, polymer chemistry, formulation principles, and analytical characterization.
• Communication & Collaboration: Strong interpersonal and communication skills with the ability to translate complex data science concepts into clear insights for experimental scientists and leadership.

Under This Roof, We Also Value

• Hands-on experience with LIMS or Electronic Lab Notebook (ELN) platforms.
• Familiarity with applied machine learning in chemistry or materials science (e.g., ensemble modeling, multi-objective optimization, transfer learning).
• Practical experience constructing agentic workflows or automated solution pipelines.
• Prior wet lab or industrial chemistry laboratory experience.

How We Protect What Matters Most

Professional growth and development are very important to us! We offer internal training programs and courses, in addition to our on the job experiences.

We put diversity and inclusion into action with our Employee Resource Groups, which unite employees based on common perspectives, identities, demographic factors, or out of a desire to be an ally.

GAF complies with federal, state, and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR Services at 833-HR-XPERT.

Pay Transparency

Base salary and/or rate of pay ranges listed are exclusive of fringe benefits and p