Associate Director, Data Science (Remote)

Associate Director, Data Science (Remote) at Merck in Boise, Idaho, United States Job Description Job Description Role Summary The GMSA Medical Data Analytics Center Data Scientist Associate Director 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 will support the therapeutic areas of General Medicine, Infectious Diseases and Vaccines. 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. Responsibilities and Primary Activities 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 Data Analytics Center team 1) maintains an entrepreneurial spirit 2) has a strong understanding of healthcare data and technology 3) can identify and use new data sources. Keeps abreast 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. Required Education, Qualifications , Skills, & Experience : Minimum Bachelor's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 9 years of relevant job experience; or Master's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 5 years of relevant job experience; or PhD (computer science, physics, mathematics, actuarial science, or equivalent) with 1 year of relevant job experience. Demonstrated experience in Advanced Analytics, Statistical Modeling, NLP, AI, Machine Learning Experience with R, Python, SAS, or similar coding applications Experience using SQL and SQL relational databases Experience analyzing real-world data assets including EMR and EHR Strong analytical and problem-solving skills Strong business acumen in the pharmaceutical industry Ability to succinctly translate complex ideas and analytical results into actionable insights and recommended actions Strong presentation skills Experience in building effective cross-functional partnerships and working across global teams. Ability to influence peers and leaders. Strong listening skills. Attention to detail. An entrepreneurial spirit with a high degree of initiative, innovative thinking, and intellectual curiosity High degree of personal integrity Preferred Bachelor's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 15 years of relevant job experience; Master's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 10 years of relevant job experience; PhD (computer science, physics, mathematics, actuarial science, or equivalent) with 5 years of relevant job experience. Experience in Global Medical Affairs Experience 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) Experience using version control and object-oriented programming Experience with medical coding 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 (EnglishformattedESQA508c.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 (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 summ To view full details and how to apply, please login or create a Job Seeker account

Salary : $153,800 - $242,200