Job Description

DUTIES:

Develop data standards, tools, and automated workflows to ensure high quality datasets, enable rapid data visualization, and optimize novel pharmacometric analysis and reporting workflows. Collaborate with Quantitative Pharmacology & Pharmacometrics (QP2) scientists and key partners, such as bioanalytical sciences, statistics, statistical programming, and clinical data management, across therapeutic areas to drive delivery of high-quality datasets. Monitor the flow of data between complex clinical data systems and the processes surrounding that data, drive creation of new data standards to enable analysis and workflow automation and implement new data initiatives (e.g. digital data). Obtain feedback from QP2 scientists and utilize this information to guide the development of new customizable pharmacometric tools, user-defined data visualization dashboards, and flexible analysis workflows. Build tools (e.g. RShiny apps) to streamline creation of key visualizations and statistical analyses used for diagnostics and reporting to shorten the turnaround time of deliverables. Support Artificial Intelligence (AI) and Machine Learning (ML) initiatives within the department and further provide input into optimization of processes for data flow, analysis and storage across the company’s systems. 10% domestic travel required.

LOCATION:

126 E. Lincoln Ave., Rahway, NJ 07065

REQUIREMENTS:

Minimum required education:

• A master’s degree in data science, Computer Science, or a closely related field
• OR a bachelor’s degree in data science, Computer Science, or a closely related field and 2 years of experience in the position offered or a related role.

Required experience and skills:

• Independent development of at least one rshiny application
• Demonstrate independent development of at least one data dashboard with customizable user interfaces to visualize data.
• Proficiency in programming languages such as R (including tidyverse, ggplot2, shiny, plotly and caret packages) and Python (including pandas, nltk and sklearn packages).
• Proficiency in cleaning, analyzing, visualizing large datasets (e.g. Greater than 50K rows).
• Proficiency in using standardizing datasets or building standardized databases.
• Proficiency in using preclinical and clinical data, particularly in the healthcare or pharmaceutical space.
• Proficiency in AI/ML such as natural language processing, machine learning algorithms, and causal inference.

SALARY:

$111,966 - $163,900/yr.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at Compensation and Benefits Webpage.

You can apply for this role through the Career Site (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

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.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement​

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

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:

Regular

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Not Applicable

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

N/A

Required Skills:

Artificial Intelligence (AI), Build Tools, Causal Inference, Clinical Data, Clinical Database Programming, Computational Sciences, Computer Science, Data Analysis, Data Science, Data Visualization, Machine Learning, Natural Language Processing (NLP), Python (Programming Language), Statistical Analysis, Statistical Programming

Preferred Skills:

Job Posting End Date

10/29/2025

*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.