GOglobal Program: Electronics R&D 2026

Merck Group$89K — $133K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. or Master's Degree in a STEM discipline (Computer Science, Computational Chemistry, Data Science, Chemical Engineering, Materials Science, etc.)
  • Experience applying AI/ML in scientific or industrial projects preferred
  • International exposure is beneficial
  • Proficient in scientific Python and familiar with cheminformatics tools
  • Experience with LLMs or agentic AI for scientific applications and building machine learning models favored
  • Bilingual skills are a plus
  • Proven ability to work collaboratively with a results-oriented mindset.

Responsibilities

  • Participate in a two-year rotation plan within EMD Electronics, including international placements.
  • Develop new materials and applications across specialty chemicals and high-tech materials.
  • Utilize AI/ML tools to accelerate innovation through data automation and computational modeling.
  • Engage in cross-functional R&D activities translating scientific insights into actionable outcomes.
  • Plan and execute projects, ensuring timely delivery of milestones.
  • Collaborate with scientists and engineers to identify opportunities for AI-driven solutions.
  • Present findings to senior management and contribute to strategic decision-making.

Benefits

  • Health insurance coverage
  • Paid time off (PTO)
  • Retirement contributions
  • Professional development opportunities
  • Mentorship and training programs
  • Networking opportunities with global R&D community
Full Job Description
Your Role: Maximize your potential at the intersection of artificial intelligence and advanced materials. This 2-year Functional Graduate Program offers an immersive rotation plan within EMD Electronics, international exposure, and direct engagement with senior management. Within EMD Electronics, you will work at the frontier of AI-driven materials discovery, building tools, models, and workflows that accelerate how the world's most advanced electronic materials are developed and deployed. You will receive expert mentorship, targeted training, and extensive networking opportunities to accelerate your professional and personal growth. Throughout the program, you will gain broad exposure to R&D activities and multiple facets of electronics and materials science, including Materials AI, Materials Innovation, and Process Development; gaining the domain depth and cross-functional perspective needed to build AI applications that are scientifically rigorous and industrially relevant. After a first assignment at your home base in the United States, you will undertake two additional assignments in other parts of our Electronics Business, including one international placement at a site within our global Electronics network. You will contribute to a diverse range of projects, broaden your perspective of the specialty chemistry and high-tech materials landscape, and collaborate across a global, culturally diverse organization. Program Structure and Rotations • Start: Fall 2026 • Duration: 2 years • Rotations: • Assignment 1: Base location in United States (Branchburg, NJ; Carlsbad, CA; Hometown, PA; San Jose, CA; Sheboygan, WI; Tempe, AZ; or Remote) • Assignment 2: International placement within a different part of EMD Electronics • Assignment 3: Location in United States • Objectives: Build deep expertise in AI/ML for materials science, develop cross-functional collaboration skills, and drive measurable innovation value for EMD Electronics through applied AI and hands on project contributions • Mentorship and development: Access to senior business mentors, targeted training sessions, and structured networking opportunities with the global R&D community Key Responsibilities: • Actively participate in a structured 2-year rotation plan within EMD Electronics, including assignments at the home base in the United States and one international placements. • Contribute to the development of new materials and applications across multiple product segments within specialty chemicals and high-tech materials. • Apply data, digital, and AI/ML tools to accelerate innovation; examples include data automation workflows, machine learning models, computational modeling, and agentic AI development. • Engage in diverse R&D activities spanning core areas such as Materials Innovation, Materials AI, and Process Development; translate scientific insights into actionable project outcomes. • Plan, execute, and report on individual projects within assigned rotations, delivering milestones on time and within scope. • Collaborate with bench scientists, process engineers, and product development teams to identify high-value opportunities for AI-driven acceleration; act as a bridge between data science and domain expertise. • Present findings and model insights to senior management and cross-functional teams; participate in technical reviews and strategic decision-making forums. • Gain hands-on exposure to the materials and chemistry domain across rotations - developing the scientific intuition needed to build AI tools that are grounded in physical and chemical reality. • Demonstrate international adaptability by applying your AI/ML expertise across diverse cultural, organizational, and technical environments; build a global network of collaborators at the forefront of digital chemistry. • Engage in professional development activities, training, and mentorship programs to accelerate your growth as a leader in AI for science. • Demonstrate a proactive, collaborative mindset with a customer- and result-oriented focus, going the extra mile to ensure project success. Who You Are: Minimum Qualifications: • Ph. D. or Master's Degree in a STEM discipline (Computer Science, Computational Chemistry, Data Science, Chemical Engineering, Materials Science, etc.) Preferred Qualifications: • Prior internship, research, or project experience applying AI/ML in a scientific or industrial context • International exposure • Bilingual skills • Demonstrated experience building and deploying machine learning models • Proficiency in scientific Python, familiarity with cheminformatics tools • Experience with LLMs, agentic AI, or foundation models for science • Flexible, collaborative team player with a willingness to go the extra mile to drive projects to success • Highly motivated with curiosity and passion for solving exciting challenges Pay Range for this position - $89,200-$133,800/year The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.

About Merck Group

Merck Group Careers

There has never been a more opportune time to join Merck Group, a leading science and technology company in healthcare, life science, and performance materials. Merck Group offers a plethora of job opportunities that cater to a variety of skills and professional aspirations, making it an ideal environment for both seasoned experts and those at the start of their career journey.

Work You’ll Do

At Merck Group, every team member contributes to breakthrough innovations in healthcare, life sciences, and electronics. The company's commitment to diversity and innovation fuels its leadership in various sectors, driving growth and transformation globally. Merck Group’s career paths are diverse, offering positions that challenge individuals to use their skills in new ways every day, supported by robust training programs and development opportunities.

Explore Job Opportunities and Growth

Merck Group is not just about jobs; it's about building a career. With a vast array of positions, from research and development to marketing and sales, the company is keen on hiring and nurturing talent to lead industry transformation. Merck Group’s dedication to professional growth is evident in its comprehensive benefits package and performance management processes that aim to maximize individual potential.

Internship Programs

Starting with an internship at Merck Group can be a pivotal step in securing a prosperous career. Interns gain invaluable industry experience, working alongside seasoned professionals and engaging in projects that offer real-world applications of their studies. Internships often lead to full-time employment opportunities, providing a seamless transition from education to professional employment.

Inclusive Culture and Leadership

Merck Group is proud of its inclusive culture that embraces diversity and fosters an environment where all employees can thrive. The company’s leadership is committed to creating a workplace where diverse ideas lead to innovative outcomes. Merck Group also offers diversity training to ensure all team members are equipped to contribute to the company’s inclusive goals.

Networking and Professional Development

Employees at Merck Group are encouraged to engage in networking and professional development activities that enhance their career trajectories. The company hosts various networking events, workshops, and seminars that are designed to hone skills and foster connections within the industry. Leadership development programs are also a cornerstone, preparing employees for future roles of increased responsibility.

Stay Connected with Merck Group Careers

Interested candidates can explore open positions that match their skills and interests through the Merck Group careers page. The company values curious, creative, and solution-driven team players who are eager to make an impact.

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Merck Group is continuously looking for individuals who are ready to drive innovation and lead in the global marketplace. Whether through full-time positions, internships, or leadership roles, Merck Group offers a career path filled with opportunities for growth, learning, and leadership.
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