채용
Required Skills
Python
Git
Machine Learning
Job Description:
The S&T Data Science & Biostatistics team plays a critical role in enabling data-informed decision-making across Global Animal Health Manufacturing. We are seeking a Senior Data Science professional with strong statistical knowledge to join our team.
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.
Primary Responsibilities
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Lead 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.)
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Perform data quality assessments, maintain metadata awareness, and prepare reports for stakeholders and regulatory submissions
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Develop reproducible, well‑documented code and data science pipelines
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Automate repeatable tasks and integrate data science into operational workflows
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Mentor colleagues and upskill stakeholders in statistical and data-driven thinking
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Communicate complex statistical and modeling results clearly, to both technical and non-technical audiences, and provide actionable recommendations
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Stay current with modern predictive modeling, statistical methods, machine learning and AI methodologies
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Collaborate closely with Operations, Quality, Engineering, and Regulatory teams across regions
Qualifications & Education
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MSc (or higher) in Statistics, Mathematics, Computer Science, Physics, Economics, or related field with strong statistical and data science emphasis
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Relevant hands-on experience in a data science, statistician or biostatistics role, preferably in pharmaceutical or manufacturing environments
Required Skills & Experience
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Strong knowledge of DOE, SPC, GLMs, multivariate methods, simulations, predictive modeling, time series, stochastic processes, optimization, and machine learning
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Proficiency in R and/or Python
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Strong coding practices, with experience using collaborative tools (e.g., Git)
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Ability to work with incomplete or imperfect data and interpret results within the manufacturing/business context
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Strong analytical and problem-solving skills
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Excellent communication and interpersonal skills
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Comfortable working independently as well as collaboratively in a global team
Desired Skills (Nice to Have)
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Experience applying AI methodologies
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Exposure to Agile/DevOps practices and tools (JIRA, Confluence, Git)
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Familiarity with distributed compute environments (e.g., Spark)
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Experience generating statistical reports for regulatory filings or audits
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Willingness to travel
Our Offer
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Exciting work in a great team, global projects, international environment
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Opportunity to learn and grow professionally within the company globally
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Hybrid working model, flexible role pattern
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Pension and health insurance contributions
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Internal reward system plus referral program
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5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
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Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card
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Vodafone, Raiffeisen Bank, Foodora, and other discount programs
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Up-to-date laptop and i Phone
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Parking in the garage for drivers or showers for bikers
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Competitive salary, incentive pay, and many more
Ready to take up the challenge? Apply now!Know anybody who might be interested? Refer this job!
The date shown below is the earliest possible closing date for this posting. However, we sometimes extend the job posting period as needed, so please feel free to apply anytime you see the "Apply" button available. You may also reach out to the recruiter directly via https://www.linkedin.com/in/badumtss/
Required Skills:
Analytical Thinking, Atlassian Confluence, Atlassian JIRA, Biostatistics, Communication, Computer Science, Data Science, Economics, Git, Manufacturing, Mathematics, Pharmaceutics, Physics, Problem Solving, Python (Programming Language), R Analytics, R Code, R Programming, R Script, R Scripting, R Statistics, Statistics
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:
Regular
Relocation:
No relocation
VISA Sponsorship:
Yes
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
N/A
Job Posting End Date:
03/17/2026
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.
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About Merck

Merck
PublicMultinational pharmaceutical company.
10,001+
Employees
Rahway
Headquarters
Reviews
3.6
19 reviews
Work Life Balance
3.8
Compensation
3.2
Culture
3.0
Career
2.8
Management
2.5
60%
Recommend to a Friend
Pros
Large company with networking opportunities
Good work-life balance
Decent benefits and salary
Cons
Limited upward and lateral mobility
Slow promotion timeline
Favoritism in advancement
Salary Ranges
2,500 data points
Junior/L3
Senior/L5
Director
Junior/L3 · Data Scientist
0 reports
$146,595
total / year
Base
-
Stock
-
Bonus
-
$124,607
$168,583
Interview Experience
20 interviews
Difficulty
2.9
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 10%
Neutral 50%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Panel Interview
5
Final Decision
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
Case Study
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