Intern - Applied Statistics - Innovation & Engineering

Job description

Job Description We are looking for a motivated student! Do you want to know what it's like to be part of one of the largest multinational companies in the pharmaceutical industry? We offer an internship opportunity within our Data Science & BioStatistics department where you will have the freedom and space for your own initiative. Intern - Data Science & BioStatistics Welcome to our team The S&T Data Science & Biostatistics team plays a critical role in enabling data-informed decision-making across Global Animal Health Manufacturing. This role offers the opportunity to apply advanced statistical methods to complex challenges in pharmaceutical manufacturing, where data science applications differ from standard use cases: limited data availability, complex process mapping, and black-box bioprocesses that require robust statistical design and simulation. You will contribute to key business areas such as quality control, yield optimization, maintenance, deviation management, and regulatory submissions. As part of an innovation-driven and globally dispersed team, this position provides an excellent platform to expand your expertise in both advanced data science and applied statistics. Your internship assignment As an intern, you will have the following responsibilities: Support end‑to‑end data science and statistical projects to address manufacturing challenges, applying advanced methods (DOE, SPC, regression, GLMs, multivariate analysis, optimization, simulation, predictive modeling, machine learning, etc.). Perform data quality assessments and prepare reports for stakeholders and regulatory submissions. Develop reproducible, well‑documented code and data science pipelines. Automate repeatable tasks and integrate data science into operational workflows. Stay current with modern predictive modeling, statistical methods, and machine learning methodologies. Providing a fresh perspective to the department by sharing your opinion. The described tasks form the basic package and will often be performed independently after a proper training and learning period. These tasks may be supplemented with other projects and/or tasks on your own initiative or at the request of the organization. What is required Student in Statistics, or related field with strong statistical emphasis. Knowledge of DOE, SPC, GLMs, multivariate methods, simulations, predictive modeling, time series, stochastic processes, optimization, and machine learning. Proficiency in R or Python. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Comfortable working independently as well as collaboratively in a global team. Available for a period of 5 days per week What we offer Interning at our company means working together with your team towards health in an international work environment. As an intern, you will have the opportunity to work closely with experts and learn from them. In addition, we offer: The chance to gain experience in the pharmaceutical industry An opportunity to showcase yourself for potential opportunities after your internship period A challenging and dynamic work environment with plenty of room for personal development and initiative Good guidance from an experienced specialist A gross monthly internship allowance of €500,- based on a 40-hour workweek Animal Health Division Our Animal Health Division is a trusted global leader in animal healthcare. We are committed to preserving and improving the health, well-being, and performance of animals and the people who care for them. As a global team of professionals, we work together to make a positive difference in animal care and the world's food chain. We also have a deep sense of responsibility towards our customers, consumers, animals, society, and our planet. By being dedicated to The Science of Healthier Animals®, we provide veterinarians, farmers, pet owners, and governments with one of the broadest ranges of animal health products, vaccines, and solutions and services for health management. Additionally, we deliver a comprehensive range of digitally connected identification, traceability, and monitoring products. We invest in dynamic and extensive R&D capabilities and a modern, global supply chain. We are present in more than 50 countries, and our products are available in approximately 150 markets. NLINTERN Required Skills: Accountability, Accountability, Analytical Problem Solving, Biostatistics, Clinical Research, Communication, Data Analytics, Data Applications, Database Management, Data Entry, Data Quality Assessments, Data Science, Data Visualization, Document Management, Global Supply Chain, Global Team Collaboration, Health Economics, Maintenance Management, Microsoft Office, Office Applications, Pharmaceutical Manufacturing, Process Improvements, Process Mapping, Project Management, Reporting and Analysis {+ 4 more} Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Intern/Co-op (Fixed Term) Relocation: No relocation VISA Sponsorship: No Travel Requirements: No Travel Required Flexible Work Arrangements: Hybrid Shift: Not Indicated Valid Driving License: No Hazardous Material(s): N/A Job Posting End Date: 06/30/2026 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.