Job Description
An opportunity has arisen for a Sr. Data Scientist in the Pharmaceutical Sciences and Clinical Supply (PSCS) Organization. The role will be essential in establishing and ensuring our organizations realization of our digital transformation strategy. Further, the successful candidate will provide centralized support and expertise to teams across Research Laboratories. Our projects focus on key areas of interest to multiple teams: implementing modern digital solutions for research and development and plant operations, platform development using modern architecture, building end-to-end solutions to capture, @contextualize, and generate insights from data, and establishing best practices to provide solutions to otherwise intractable problems faced by the business. Our team ensures the scientific community at our company is well-positioned to rapidly meet the challenges encountered within modern pharmaceutical sciences and clinical supply organizations. We challenge ourselves to chart the course of digital transformation within our organization.
In this role you will work with a diverse group of scientists, engineers, and IT to broadly shape and lead our identification and internalization of tools to create, capture, ingest, integrate, and consume data across various domains supporting PSCS. You will apply state of the art data science technology platforms to build and deploy operational solutions that span the scientific, executional, compliance, and operations spaces. Your responsibilities will include develop and maintain tools to support our clinical drug product manufacturing sites, building dashboards and exploratory visualizations to support decision making and KPI tracking across our division, working with IT to support production solution implementation, building end-to-end digital solutions within PSCS, and supporting change management. Systems for manufacturing execution, laboratory data, workflow execution, IoT and cloud computing self-service data visualizations, data engineering, and KPI tracking are all in scope of this role.
Reporting into the Oral Formulation Sciences organization (OFS) the successful candidate will bring energy, knowledge, innovation to carry out the following:
Lead Interactions with the scientific and operations functions to identify, catalogue, develop and characterize use cases and value generating digital opportunities for the respective business areas.
Support the evaluation and planed execution of digital projects.
Manage a portfolio of digital projects and dashboards.
Independently and in teams build, test, and deploy end-to-end digital solutions for laboratory and business process data.
Serve as a subject matter expert on data science, data engineering and statistical analysis.
Build, develop, and grow the data science capabilities for both our data science staff and our functional area scientific staff via training, coaching, and mentoring.
Drive and support a self-service data science mindset in our organization.
Deliver on the organizational initiatives and projects.
Help operationalize numerous models across the organization, provide guidance and training to development and data scientists.
Support voice of the customer surveys, business case development, and productionalization processes.
Set the standard with IT for exploratory data analysis.
Required experience and skills:
A PhD (with expected graduation by October 2025) with a minimum of 0+ years' experience, 5 years' (for MSc) or 9 years' (for BSc) in academia, pharmaceutical, biotechnology, or physical sciences-based company
Education and or related experience in the physical sciences (Physics, Chemistry, Engineering, Material Sciences, pharmaceutical sciences, Computer Science, Bioinformatics, or related).
Demonstrated experience with the mechanics of training and deploying data based or first principles models.
Broad knowledge of data pipelines and statistics, with the ability to deep dive as well as converse at high technical level with architects and senior scientists.
Expertise in data engineering, data science, Machine Learning, or statistical modeling, and coding (Advanced Python and related programming skills, R, Matlab, ...)
Experience directing or managing small to medium projects and teams, and ability to give effective training and presentations to data scientists and engineers.
Working knowledge of statistical methods for DOE design, hypothesis testing, regression analysis, classification, and exploratory data analysis
Preferred
Expertise in cloud-based IT solution building and architecture design.Advanced working knowledge of cloud-based technology stacks (AWS, Databricks).
Expertise in data analytics and UI/UX design elements.
Experience bridging the gap between process engineering and data science groups, with clear understanding of setting group goals and delivering on business targets.
Exposure with pharmaceutical formulation development, and characterization is a plus.
As a company, we are committed to 'Inventing for Life' in all that we do. We keep the patient at the very heart of all that we do and strive to find solutions and treatments for some of the world's most challenging healthcare needs. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together.
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Current Employees apply HERE (https://wd5.myworkday.com/msd/d/task/1422$6687.htmld)
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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 (https://survey.sogosurvey.com/r/aCdfqL) 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 (https://www.eeoc.gov/sites/default/files/2022-10/22-088\EEOC\KnowYourRights\10\20.pdf)
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.
Learn more about your rights, including under California, Colorado and other US State Acts (https://www.msdprivacy.com/us/en/CCPA-notice/)
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".
The salary range for this role is
$114,700.00 - $180,500.00
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.
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 https://jobs.merck.com/us/en/compensation-and-benefits .
You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.
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:
Domestic
VISA Sponsorship:
No
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid
Shift:
1st - Day
Valid Driving License:
No
Hazardous Material(s):
N/A
Required Skills:
Adaptability, Communication, Cross-Functional Teamwork, Data Analysis, Data Science, Digital Transformation, Exploratory Data Analysis (EDA), Innovative Thinking, Interpersonal Relationships, Platform Development, Social Collaboration
Preferred Skills:
Data Engineering, Machine Learning, MATLAB, Pharmaceutical Sciences, Python (Programming Language), Visualizations
Job Posting End Date:
06/24/2025
*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.
Requisition ID: R351496
