Job Information
Merck Associate Director, Data Science in Helena, Montana
Job Description
Our Medical Affairs Team advances patient care by engaging in scientific exchange with external medical experts and industry professionals ensuring the scientific value of our products is realized. We engage and train internal employees to ensure that they thoroughly comprehend the science behind the medicine and review further unmet medical needs to bolster collaboration and further differentiate our portfolio.
We are seeking a Growth and Improvement minded Associate Director of Data Science that can help drive our strategic operating priorities.
Invent | Pursue the Most Promising Internal and External Science to Address Significant Unmet Medical Needs
Execute | Prioritize Resources Behind Our Key Growth Drivers (Oncology, Vaccines, Select Specialty Areas, Animal Health) While Optimizing Our Base Business)
Adapt | Develop Our People, Culture and Business Model to Evolve with a Dynamic Landscape
Diverse Talent | We are committed to providing an inclusive and welcoming environment with supporting leadership behaviors because having a high-performing, engaged workforce is critical to our ability to deliver innovative solutions to patients and customers around the world
Values and Standards | Our Steadfast Commitment to Our Values and Standards will Continue to Guide Us as We Take on New Challenges and Will Always be Fundamental to Our Success – They are a Competitive Advantage for Us
Summary, Focus and Purpose:
The Associate Director of Data Science Data Science assists the Global Medical and Scientific Affairs (GMSA) organization in discovering information hidden in data to make data driven strategic decisions for the organization.
This role requires a unique combination of skills to gain the trust of therapeutic area and regional colleagues, an innovative mindset to think through novel ways to help the organization make better decisions, and the ability to execute on the idea by gathering the necessary data and building the necessary statistical models. This is a great opportunity for a self-motivated individual with strong business acumen along with technical competence.
Key Functions
Work Independently and as a Team member with Integrity | Precision | Accomplishment | Motivational Ambition | Respect | Inclusion
Partners with internal stakeholders to understand the needs of GMSA
Identifies appropriate data sources to address the needs of GMSA
Designs and develops analyses (e.g., descriptive, diagnostic, predictive, prescriptive) to draw inferences and conclusions to inform decision-making for GMSA
Ensures high quality, rigorous and readily interpretable deliverables
Develops data visualizations and presentation decks to communicate findings
Provides recommended actions with stakeholders from senior and executive leadership teams
Contributes toward a collaborative environment where the Medical Analytics Center of Excellence 1) maintains an entrepreneurial spirit 2) has a strong understanding of healthcare data and technology 3) can identify and use new data sources
Stays well informed of the latest trends in the field through continuous learning and proactively championing new methods to help solve critical and emerging medical affairs problems and drive medical affairs activities
Collaborates and partners with peers in other functions (Human Health (HH), Center of Observational and Real-World Evidence, etc.) on cross-functional analytics projects and to drive efficiencies in developing innovative quantitative analyses
Manages external vendors
Education
Required | Bachelor degree (computer science, physics, mathematics, actuarial science, or equivalent) with nine years relevant job experience
Preferred | Master degree (computer science, physics, mathematics, actuarial science, or equivalent) with five years relevant job experience
PhD (computer science, physics, mathematics, actuarial science, or equivalent) with 2 years relevant job experience
Experience | Skills | Knowledge
Required
Demonstrated experience in Advanced Analytics, Statistical Modeling, NLP, AI, Machine Learning
Principled verbal and written communications
Experience with R, Python, SAS, or similar coding applications | Using SQL and SQL relational databases | Analyzing real-world data assets including EMR and EHR
Strong analytical and problem-solving skills
Ability to succinctly translate complex ideas and analytical results into actionable insights and recommended actions
Strong presentation, listening and attention to detail skills
Experience in building effective cross-functional partnerships and working across global teams | Ability to influence peers and leaders
Entrepreneurial spirit with a high degree of initiative, innovative thinking, and intellectual curiosity
High degree of personal integrity
Preferred
Strong business acumen in the pharmaceutical industry
Experience in Global Medical Affairs | Using CMS quality data | Exposure to payer analytics or Market Access analytics
Advanced skills in Microsoft Excel, PowerPoint, and Word
Experience with visualization software such as Tableau, Spotfire, Qlik, or related
Exposure to Big Data technology such as AWS Redshift
Experience with Cloud Computing services (e.g., AWS) | Using version control and object-oriented programming | Medical coding
Enterprise Leadership Skills
- Our Company Enterprise Leadership Skills for this role are Business Savviness, Execution Excellence, Networking and Partnership, and Ownership and Accountability
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:
$153,800.00 - $242,200.00
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:
01/21/2025
*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: R330604