Job Description

Sr. Specialist, Data Science - US Vaccines

We are seeking a Business Insights Analytics Sr. Specialist focusing on data science and analytics to join our team.

This role will collaborate with the Human Health Digital, Data and Analytics (HHDDA) area to utilize data for generating actionable insights. In this role, the Sr. Specialist will act as a strategic thought partner for marketing stakeholders and internal HHDDA partners actively collaborating and providing data driven insights to help shape commercial decisions. They will partner with cross-functional teams in designing and delivering scalable solutions and valuable insights that address key business questions aligned with business priorities.

The Sr. Specialist may also play a key role in measuring the impact of promotional programs and providing recommendations on how best to optimize future promotional spend through data-driven insights. The Sr. Specialist should possess strong presentation skills, capable of effectively communicating complex methodologies, insights, and results to senior leadership in a concise manner.

Key Responsibilities include and may not be limited to:

• Understand the internal stakeholder business needs and priorities to build analyses that promote business objectives by providing actionable insights.

• Analyze data using advanced analytical/statistical techniques across disparate databases/sources (including claims/EMR Data and other sources) to develop insights drive to inform the commercial business strategies.

• Ensure delivery of high-quality, timely, compliant analyses with excellent user experience (keep clients updated on progress).

• Collaborate across HHDDA teams (i.e. data visualization, data solutions, other data scientists, other BIA teams, etc.) to deliver best-in-class solutions to drive data driven insights often acting in consulting capacity.

• Translate complex business questions into specific analytical problems and design scalable solutions.

• Understand the complexity/dependencies between multiple teams and platforms (people, technologies).

• Engage in continuous learning to stay abreast of emerging trends and methodologies in analytics.

• Contribute to innovative ideas and improve efficiency with insights delivery. 

Qualifications:

Minimum Requirements:

• Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Data Science, etc.).

• 3 years of relevant experience delivering complex analytical projects in the pharmaceutical/biotech/healthcare industry.

• Proficiency in database management systems and modeling languages preferred (Python, SAS, SQL) as well as expertise with Microsoft Excel and PowerPoint.

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

• Strong interpersonal and communication skills to interact with diverse teams and stakeholders.

• Strong organizational and time management abilities, capable of navigating a complex matrix environment.

Preferred:

• MBA, MS or PhD degree in a quantitative field (Statistics, Mathematics, Computer Science, Data Science, etc.).

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

• Prior hands-on experience working with pharma data (DDD, Patient level data (APLD), EMR/EHR data sets, Lab datasets, prescription datasets (retail/nonretail HCP-Payer-plan-product level data), specialty pharmacy) is preferred.

• Prior Consulting knowledge

• Working in Vaccines is highly preferred but not required

• Demonstrated experience in predictive modeling techniques and model interpretation.

• Marketing mix modeling projects.

• Performing return on investment (ROI) analytics.

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.

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

EEOC GINA Supplement​

Pay Transparency Nondiscrimination

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

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:

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.

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:

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:

Preferred Skills:

Job Posting End Date:

*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.