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Job Description

The Associate Director Data Science will be responsible for developing and communicating data-driven and actionable insights that drive greater customer and market understanding to inform launch brand strategies, help meet in-line brand growth and commercial objectives.

This hybrid role requires the individual to be an independent contributor as well as be a lead partner in helping to scope, design, and deliver well-defined advanced analytics solutions aligned to business priorities, including leading solutions that are aligned to the HHDDA top programs (i.e., PIE CON). The ideal candidate will lead a cross functional insights team that spans data science, market research, data strategy, and measurement.

The preferred candidate should have intellectual curiosity, entrepreneurial spirit, consultative mindset, strong understanding of healthcare & pharma marketing. The person should be able to identify the data, analytics and research needs to define, enable, and inform commercial strategies of our brand and business leaders. This role will require interfacing and collaborating with many teams. The candidate should demonstrate consistently strong leadership skills. The person will have a growth mindset and embody a culture of continuous learning. Effective communication skills are essential for a candidate to be successful in this role.

Colleagues who will thrive in this role are motivated by developing a deep appreciation of pharma secondary data sources and possess an ability to define and translate objectives and business questions into analytical problems that require advanced and scalable solutions that produce actionable insights.

Primary Job Function and Key Responsibilities

• Thoroughly appreciate the assigned internal stakeholder business needs and priorities to help build analyses promoting business objectives by delivering actionable insights

• Mine and analyze data leveraging advanced analytical/statistical techniques from disparate databases/sources (claims data/EMR Data and other sources) to drive optimization and improvement of therapy area commercial business strategies

• Be accountable for ensuring delivery of analyses with high quality standards, timeliness, compliance, and excellent user experience (routinely keep client base updated on progress)

• Establish and manages the continued close relationship with marketing stakeholders

• Comprehend the complexity/dependencies between multiple teams, platforms (people, technologies)

• Convey intensively with other platform/competencies to comprehend new trends/ methodologies being implemented/considered within the company ecosystem and bring new ideas forward that will enhance analytic capabilities of the organization

• Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria

• Where applicable, partner throughout the organization to identify, work with and direct the sourcing of externally available data sources based on the business needs, and execution of specific business objectives

• Effectively convey and positively influence stakeholders

Minimum required education:

• A minimum of BS (or equivalent) in Data Science, Computer Science, Management Information Systems, IT, or an equivalent scientific/commercial discipline.

• MBA or Master’s or Doctorate degree in Decision Science, Marketing, Engineering, Public Health, Biological Sciences, Nursing, Pharmacy, Mathematics, Economy, Statistics, Computer Science, Medical Sciences is preferred.

Knowledge | Skills

• Work objectively and as a Team member with Integrity | Precision | Accomplishment | Motivational Ambition | Respect

• Minimum of 3 plus years of relevant knowledge using data science to deliver measurable impact in commercial pharma landscape.

• Knowledge in mining medical claims/EMR, social media, etc. data with a strategic/inquisitive mindset and proven record of being able to produce actionable business insights that drive positive commercial results

• Providing actionable insights through analytics to commercial franchises brands at various stages of product life cycle (development, launch, maturity, end of life cycle)

• Provide guidance, help define tactics and strategies to implement targeting and segmentation scheme using predictive and machine learning models

• Ability to extract data from various database tables using tools such as SQL to develop features to be used in analysis including the ability to perform feature engineering

• Knowledge in developing both machine learning and descriptive algorithms/modeling using such languages as Python, R etc.

• Comfortable formulating actionable insights and recommendations from commercial analytics into presentations (using PowerPoint, Tableau, etc.) and presenting results to various levels of franchise management

• Proven knowledge of business processes and industry/market trends within the pharmaceutical/healthcare space

• Motivational and ethical stakeholder management and communication skills, along with the ability to convey appropriately and confidently with colleagues from different backgrounds and seniority levels

• Effective organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively

• Proven track record of successful completion of multi-stakeholder projects necessitating coordination cross-functionally between several departments

• Proven data science leveraging advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.

Current Employees apply HERE (https://wd5.myworkday.com/msd/d/task/1422$6687.htmld)

Current Contingent Workers apply HERE (https://wd5.myworkday.com/msd/d/task/1422$4020.htmld)

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.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. 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​

Pay Transparency Nondiscrimination (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf)

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas 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 Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected US salary range:

$164,800.00 - $259,400.00

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here (https://www.benefitsatmerck.com/) .

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:

10%

Flexible Work Arrangements:

Remote

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

N/A

Required Skills:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

Job Posting End Date:

01/27/2025

*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: R319174