Data scientist
Merck
4 hours ago
Remote friendly (Rahway, NJ)
United States
IT
Purpose of the role
- Apply advanced statistical methods to complex challenges in pharmaceutical manufacturing (limited data availability, complex process mapping, black-box bioprocesses requiring robust statistical design and simulation).
- Contribute to quality control, yield optimization, maintenance, deviation management, and regulatory submissions.
Key Responsibilities
- Lead end-to-end data science and statistical projects using methods such as DOE, SPC, regression, GLMs, multivariate analysis, optimization, simulation, predictive modeling, and machine learning.
- Perform data quality assessments, maintain metadata awareness, 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.
- Communicate statistical/modeling results clearly to technical and non-technical audiences; provide actionable recommendations.
- Stay current with modern predictive modeling, statistical methods, and machine learning methodologies.
- Collaborate with Operations, Quality, Engineering, and Regulatory teams across regions.
Your profile (Qualifications)
- MSc (or higher) in Statistics, Mathematics, Computer Science, Physics, Economics, or related field with strong statistical/data science emphasis.
- Minimum 2 years’ hands-on experience in data science/statistics/biostatistics, preferably in pharmaceutical or manufacturing environments.
- Knowledge of DOE, SPC, GLMs, multivariate methods, simulations, predictive modeling, time series, stochastic processes, optimization, and machine learning.
- Proficiency in R or Python.
- Strong coding practices; experience with collaborative tools (e.g., Git).
- Ability to work with incomplete/imperfect data and interpret results in manufacturing/business context.
- Strong analytical/problem-solving, communication, and interpersonal skills.
- Comfortable independently and collaboratively in a global team.
What we offer (Benefits)
- Competitive salary; 35,5 days of leave; collective health care insurance (with reduction rates); solid pension plan; bonus plan (subject to annual company results); flexible working arrangements.
Required skills
- Business Intelligence (BI), Computer Science, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Software Development, Stakeholder Relationship Management, Statistics, Waterfall Model.
Application instructions
- Send an email including the vacancy number and job title to RecruitmentNL@MSD.com.
- Apply advanced statistical methods to complex challenges in pharmaceutical manufacturing (limited data availability, complex process mapping, black-box bioprocesses requiring robust statistical design and simulation).
- Contribute to quality control, yield optimization, maintenance, deviation management, and regulatory submissions.
Key Responsibilities
- Lead end-to-end data science and statistical projects using methods such as DOE, SPC, regression, GLMs, multivariate analysis, optimization, simulation, predictive modeling, and machine learning.
- Perform data quality assessments, maintain metadata awareness, 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.
- Communicate statistical/modeling results clearly to technical and non-technical audiences; provide actionable recommendations.
- Stay current with modern predictive modeling, statistical methods, and machine learning methodologies.
- Collaborate with Operations, Quality, Engineering, and Regulatory teams across regions.
Your profile (Qualifications)
- MSc (or higher) in Statistics, Mathematics, Computer Science, Physics, Economics, or related field with strong statistical/data science emphasis.
- Minimum 2 years’ hands-on experience in data science/statistics/biostatistics, preferably in pharmaceutical or manufacturing environments.
- Knowledge of DOE, SPC, GLMs, multivariate methods, simulations, predictive modeling, time series, stochastic processes, optimization, and machine learning.
- Proficiency in R or Python.
- Strong coding practices; experience with collaborative tools (e.g., Git).
- Ability to work with incomplete/imperfect data and interpret results in manufacturing/business context.
- Strong analytical/problem-solving, communication, and interpersonal skills.
- Comfortable independently and collaboratively in a global team.
What we offer (Benefits)
- Competitive salary; 35,5 days of leave; collective health care insurance (with reduction rates); solid pension plan; bonus plan (subject to annual company results); flexible working arrangements.
Required skills
- Business Intelligence (BI), Computer Science, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Software Development, Stakeholder Relationship Management, Statistics, Waterfall Model.
Application instructions
- Send an email including the vacancy number and job title to RecruitmentNL@MSD.com.