Associate Principal Scientist (Associate Director) - Real-world Data Analytics and Innovation
Company: Merck
Location: Boston
Posted on: May 3, 2025
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Job Description:
Job DescriptionJob SummaryYou are a highly skilled and experienced health/healthcare data scientist with a strong background in Real-world Data (RWD) analytics used to implement health economic and outcomes research (HEOR). The ideal candidate will have experience in implementing Real-World Evidence (RWE) studies including the programming involved with analysis of large real-world datasets and have a proven track record of research. You will collaborate with colleagues in the Real-world Data Analytics and Innovation (RDAI) team, as well as other scientists within Outcomes Research (OR), Epidemiology, and/or Health Economics Decision Sciences (HEDS) to serve as the analytical lead and provide methodological expertise for RWE studies and exploratory insights from cross-functional stakeholders.You will be part of a vibrant research environment with a strong culture of innovation within the RDAI group. You will have access to extensive resources and growth opportunities that a large pharmaceutical company can offer.Key Responsibilities:
- Partner with cross-functional colleagues to lead analytic segments of RWE generation projects, utilizing administrative claims, EHR/EMR, patient registry, and public-use databases starting with study feasibility and protocol development
- Drive RWE implementation activities, including writing detailed documentation that align to study objectives and analysis plans
- Accountable for reviewing and validating RWE analyses in SAS, R, and SQL executed by programming teams
- Explore the suitability, completeness, and quality of datasets for addressing outcomes research and health economic questions.
- Propose innovation projects that support new methodologies,
data sources, tools, and process improvements, leveraging your
understanding of the RWD ecosystem and your machine learning and
statistical learning experience.Qualifications:Education
Requirement:
- An advanced degree (MA/MS, PhD, ScD, etc.) in a quantitative
data science field such as statistics, biostatistics, econometrics,
data science, biomedical informatics, health informatics, clinical
informatics, epidemiology, health economics, biometrics, operations
research, engineering, computer science, or similar fields with at
least 3 years of relevant data science and programming
experience.Required Experience and Skills:
- A minimum of three or more years of hands-on professional data science experience in RWE analytics
- Ability to lead aspects of planning, organizing, and managing multiple analytics tasks simultaneously across multiple indications
- Experience with oncology research, including RWE studies, across the product lifecycle in pharma/biotech, consulting, healthcare organizations and/or biomedical research
- Broad knowledge and in-depth experience in the utilization and appropriateness of RWD such as administrative claims, EHR/EMR, patient registry, and public-use databases to generate RWE
- Ability to understand statistical analysis plans, translating observational research objectives into programming specifications
- Experience in writing, reviewing, running, and validating conventional and advanced programming, generating analytic files, and producing research-grade programming requirements in SAS, R, or SQL. Knowledge of Python programming is a plus
- Experience in identifying research cohorts using various classification codes such as ICD-9-CM, ICD-10-CM, SNOMED, LOINC, NDC, HCPCS, CPT, etc
- Knowledge of statistical terminology, concepts, and techniques used in descriptive and multivariate analysis
- Experience with machine learning algorithms (e.g., supervised learning, unsupervised learning, neural networks) and 'Big Data' technologies (such as AWS Redshift), and NLP methods
- Demonstrated ability to collaborate effectively with programmers, statisticians, economists, epidemiologists, outcomes researchers, and IT
- Exceptional interpersonal communication and organizational skills with strong attention to detail, clarity, accuracy, and conciseness
- Demonstrated motivation, proactiveness, inquisitiveness, and
flexibility in delivering on resultsPreferred Experience and
Skills:
- Knowledge of Generative AI and applications to RWD and RWE
- Experience working in a highly matrixed and cross-functional environment
- Experience working with various tools that support project
transparency and keeping timely compliance with department and
enterprise-wide SOPs and guidancesCurrent Employees apply Current
Contingent Workers apply 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 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: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.U.S. Hybrid Work ModelEffective 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:$139,600.00 - $219,700.00Available 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 .San Francisco Residents Only:We will consider
qualified applicants with arrest and conviction records for
employment in compliance with the San Francisco Fair Chance
OrdinanceLos 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 OrdinanceSearch 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:RegularRelocation:DomesticVISA Sponsorship:NoTravel Requirements:10%Flexible Work Arrangements:HybridShift:Not IndicatedValid Driving License:NoHazardous Material(s):n/aJob Posting End Date:05/8/2025*A job posting is effective until 11:59:59PM on the day BEFOREthe 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:R346249
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- An advanced degree (MA/MS, PhD, ScD, etc.) in a quantitative
data science field such as statistics, biostatistics, econometrics,
data science, biomedical informatics, health informatics, clinical
informatics, epidemiology, health economics, biometrics, operations
research, engineering, computer science, or similar fields with at
least 3 years of relevant data science and programming
experience.Required Experience and Skills:
Keywords: Merck, Leominster , Associate Principal Scientist (Associate Director) - Real-world Data Analytics and Innovation, Executive , Boston, Massachusetts
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