13d ago
New

Director, Data Science

Usa - Pennsylvania - North Wales (upper Gwynedd)executive
Data ScienceData & AI
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Quick Summary

Key Responsibilities

Translate business needs and priorities to build analytical plans that answer business questions by providing actionable insights.

Technical Tools
Data ScienceData & AI

Responsibilities

~1 min read
  • →

Requirements

~1 min read
  • BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, or equivalent scientific/ commercial discipline.  

Regular

  • 7+ years of relevant experience delivering complex analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry. 

  • Self-motivated, proactive mindset, and ability to work independently. 

  • Story-telling and executive presence with senior leaders. 

  • Effective interpersonal skills, communication skills, and stakeholder management, including experience collaborating in a matrixed organization and ability to align stakeholders on data-driven decisions. 

  • Strong business acumen and consultative skills, with proven ability to comprehend business processes and commercial strategies in detail and translate these into detailed business standards/questions that power analytics. 

  • Superior Organizational and project management skills to work effectively across the organization

  • Innovative thinking with affinity toward experimentation and appropriate risk-taking, including curiosity about how agentic AI and automation can enhance commercial analytics and insight generation. 

  • Awareness of the opportunities, limitations, and responsible use of AI (including agentic AI) in a regulated environment (e.g., data privacy, validation of AI-generated outputs). 

  • Travel may be required <10%. 

  • Ability to develop efficient programming code and software assets that provide advanced analytical functionality. 

  • Proven data science experience leveraging advanced statistical methods, Machine Learning/Artificial Intelligence

  • Knowledge of both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, SAS, SQL etc. 

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Nice to Have

~1 min read
  • Domain knowledge in oncology, specifically as it relates to data analytics. 

  • Previous experience in managing employees or contractors.

  • MBA, MS or PhD degree is a plus.  

Current Employees apply HERE

Current Contingent Workers apply HERE

Advanced Analytics, Advanced Analytics, Analytical Tools, Base SAS, Business Acumen, Business Decisions, Business Intelligence (BI), Business Metrics, Business Opportunity Identification, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Executive Leadership, Growth Mindset, Ideation, Insight Generation, Machine Learning (ML), Marketing Science, Python (Programming Language), Software Development, Stakeholder Relationship Management, Statistical Analysis {+ 1 more}

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.

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

The salary range for this role is

$190,800.00 - $300,300.00

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.

Hybrid

10/2/2026

Location & Eligibility

Where is the job
Usa - Pennsylvania - North Wales (upper Gwynedd)
On-site at the office
Who can apply
Same as job location

Listing Details

Posted
September 18, 2026
First seen
October 1, 2026
Last seen
October 1, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
19%
Scored at
October 2, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
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Director, Data Science