Job Description

Our Company is a global health care leader with a diversified portfolio of prescription medicines, vaccines, and animal health products. Today, we are building a new kind of healthcare company – one that is ready to help create a healthier future for all of us. Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity, and teamwork of an individual like you. To this end, we strive to create an environment of mutual respect, encouragement, and teamwork. As part of our global team, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.

Our Digital Quality and Value Team within our company Manufacturing Division ensures every single material inside our products is manufactured, processed, tested, packaged, stored, and distributed aligned with our incredibly high standards of quality and meets all regulatory requirements. Partnering across our internal manufacturing facilities, external contract manufacturers and suppliers we create an interdependent global manufacturing network committed to deliver a compliant, reliable supply to customers and patients on time, every time, across the globe.

This role will be focused on building innovative AI/ML-powered solutions and data visualizations to accelerate data-driven decision making for Quality & Labs shop floor personnel and management. This role involves collaborating with cross-functional stakeholders and ensuring the timely and accurate delivery of Data Science, AI/ML, and Analytics solutions to improve process efficiency and product quality, and enhance our compliance.

Position Responsibilities:

• Build data science solutions that generate actionable insights, and lead the development of data visualization tools, dashboards, and reports that provide clear and concise data-driven insights.

• Develop, implement, and validate AI and ML algorithms to analyze large datasets, identify patterns, and predict outcomes.

• Utilize analytics techniques to extract meaningful insights from complex data sources, contributing to informed decision-making.

• Perform advanced data cleaning, preprocessing, feature engineering, and statistical modeling.

• Develop and implement Generative AI models and algorithms for tasks such as text generation, image synthesis, and recommendation systems.

• Apply Natural Language Processing (NLP) techniques to process and analyze text data, enhancing the capabilities of AI-driven solutions.

• Explore and integrate advanced GenAI techniques to improve the accuracy and efficiency of data-driven insights and decision-making processes.

• Utilize cloud technologies, such as AWS or Azure, to deploy and scale AI and ML models in a production environment.

• Collaborate with cross-functional teams to integrate AI and ML solutions into existing workflows and systems.

• Work closely with product owners to understand business requirements, translate it to technical requirements and rapidly assess feasibility.

• Assist in the development of visualization dashboards and reports to effectively communicate findings to stakeholders.

Required Education and Experience:

• Enrolled in a master’s or PhD program in a relevant field, such as mathematics, data science, computer science, or a related quantitative discipline.

• Strong knowledge and practical experience in analytics, AI, and ML techniques, including statistical modeling, predictive analysis, and machine learning algorithms.

• Experience in developing and implementing Generative AI models and algorithms.

• Solid understanding of data manipulation, data cleaning, and feature engineering techniques.

• Proficiency in Python and/or R for data exploration, preprocessing, modeling, and visualization.

• Experience with SQL and database querying languages for efficient data extraction and manipulation.

• Excellent communication skills, both written and verbal, with the ability to convey technical concepts to both technical and non-technical stakeholders.

• Ability to work independently and collaboratively in a dynamic team environment.

Preferred Experience and Skills:

• Functional knowledge of data visualization tools, such as Tableau, Spotfire, or PowerBI, to convey insights in a clear and visually appealing manner.

• Experience in Natural Language Processing (NLP) techniques and algorithms to process and analyze text data.

• Experience with OpenAI, Gemini, Claude, and other large language models (LLMs).

• Familiarity with cloud technologies, such as AWS or Azure, and experience deploying AI and ML solutions in cloud environments.

MMD2025

FTP2025

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace.  All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement​

Pay Transparency Nondiscrimination

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

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:

Relocation:

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