Sr. Scientist, Epidemiology
Apply NowCompany: Merck & Co, Inc
Location: Rahway, NJ 07065
Description:
Job Description
Job Summary
We are seeking a highly skilled and motivated data scientist with a strong background in Real-world Data (RWD) analytics. The ideal candidate will have expertise in programming for the analysis of large datasets and 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), to provide analytical support and methodological expertise for Real-World Evidence (RWE) studies, generation of input parameters for health economic models, and exploratory RWE requests from cross-functional stakeholders. You will independently and collaboratively plan, perform, and communicate the following outcomes research support activities:
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. This role requires the ability to analyze complex data sets, develop algorithms, and create innovative solutions to enhance our data-driven decision-making processes.
Key Responsibilities:
Qualifications:
Education Requirement:
An advanced degree (MA/MS, PhD, ScD, etc.) in a quantitative 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 2 years of relevant data science and programming experience.
Required Experience and Skills:
Preferred Experience and Skills:
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.
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:
EEOC Know Your Rights
EEOC GINA Supplement
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.
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:
$114,700.00 - $180,500.00
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.
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:
Domestic
VISA Sponsorship:
No
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
05/1/2025
*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.
Job Summary
We are seeking a highly skilled and motivated data scientist with a strong background in Real-world Data (RWD) analytics. The ideal candidate will have expertise in programming for the analysis of large datasets and 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), to provide analytical support and methodological expertise for Real-World Evidence (RWE) studies, generation of input parameters for health economic models, and exploratory RWE requests from cross-functional stakeholders. You will independently and collaboratively plan, perform, and communicate the following outcomes research support activities:
- Explore the suitability of datasets for addressing outcomes research questions.
- Develop Statistical Analysis Plans (SAPs) and/or table shells as part of study protocol development.
- Develop or modify programming specification documents to align with study objectives and SAPs.
- Assist in RWE analytics activities, including writing detailed documentation, reviewing, running, and validating analyses in SAS, R, and SQL.
- Propose innovation study methodologies,data sources, and process improvements, leveraging your understanding of the RWD ecosystem and your machine learning and statistical expertise.
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. This role requires the ability to analyze complex data sets, develop algorithms, and create innovative solutions to enhance our data-driven decision-making processes.
Key Responsibilities:
- Collaborate: Partner with RDAI and OR colleagues to lead analytics segments of RWE generation projects, utilizing administrative claims, EHR/EMR, patient registry, and public-use databases.
- Data Analysis: Analyze and interpret large RWD databases.
- Develop and Review Specifications: Collaborate and communicate effectively with colleagues to develop and review programming specifications, ensuring a comprehensive understanding of the RWE study.
- Develop Reusable Code: Efficiently develop and implement reusable analytics code in SAS, R, SQL for analyzing large databases, and provide clear documentation for programmers.
- Present Results: Clearly and effectively present results and methodologies to stakeholders and general audiences.
- Drive Innovation: Contribute to driving innovation in RWD/RWE analytics with an entrepreneurial spirit, sharing knowledge and ideas to accelerate and improve RWE deliverables from RDAI.
Qualifications:
Education Requirement:
An advanced degree (MA/MS, PhD, ScD, etc.) in a quantitative 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 2 years of relevant data science and programming experience.
Required Experience and Skills:
- A minimum of two years of hands-on professional data science experience in RWE analytics, including writing, reviewing, running, and validating conventional and advanced programs, generating analytic files, and producing research-grade TLFs in SAS, R, or SQL. Knowledge of Python programming is a plus.
- Broad and in-depth experience with RWD such as administrative claims, EHR/EMR, patient registry, and public-use databases to generate RWE.
- Ability to understand and write statistical analysis plans, translating observational research objectives into programming specifications.
- Experience in identifying research cohorts using various classification codes such as ICD-9-CM, ICD-10-CM, SNOMED, LOINC, NDC, HCPCS, CPT, etc.
- Exceptional interpersonal communication and organizational skills with strong attention to detail, clarity, accuracy, and conciseness.
- Ability to plan, organize, and manage multiple analytics tasks simultaneously across different but interrelated therapeutic areas.
- Demonstrated motivation, proactiveness, inquisitiveness, and flexibility in delivering RWE outcomes.
Preferred Experience and Skills:
- Foundational understanding of statistical terminology, concepts, and techniques used in descriptive and multivariate analysis.
- Experience with oncology research, including RWE studies, across the product lifecycle in biomedical research and/or healthcare organizations.
- Demonstrated ability to collaborate effectively with programmers, statisticians, economists, epidemiologists, outcomes researchers, and IT in a matrix and cross-functional environment.
- Familiarity with machine learning algorithms (e.g., supervised, unsupervised learning, deep neural networks, transfer learning) and 'Big Data' technologies (such as AWS Redshift), and NLP/LLM methods.
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.
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:
EEOC Know Your Rights
EEOC GINA Supplement
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.
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:
$114,700.00 - $180,500.00
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.
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:
Domestic
VISA Sponsorship:
No
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
05/1/2025
*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.