Job Description
We are seeking a highly skilled and motivated Associate Principal Scientist/Associate Director with expertise in conducting outcome researching using real world data, as well as building supervised and unsupervised machine learning models. 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
Real World Data Analysis and Interpretation:
Analyze and interpret large volumes of structured and unstructured real-world patient level healthcare data, including but not limited to administrative claims, EHR/EMR, disease registry, and public-use databases. Develop machine learning algorithms and statistical/survival analysis models to extract meaningful insights and outcome research evidence.
Unstructured Clinical Data:
Utilize transfer learning, fine tuning, GAN, transformer, attention, auto encoder, and other advanced neural network techniques in building machine learning model. Implement algorithms for unstructured data including but not limited to X-ray, CT, MRI, ECG signal, ECOH diagram.
Collaboration And Communication :
Work closely with stakeholders in research, business, and IT functions to provide data-driven insights and solutions.
Project Management:
Independently lead Real-World Evidence outcome research or advanced AI/machine learning research projects with minimum supervision.
Continuous Learning And Innovation :
Stay current with the latest research and technologies in data science and machine learning. Proactively seek opportunities to improve existing processes and methodologies.
Education Requirement:
An advanced degree (MA/MS, PhD, ScD etc.) in a quantitative field such as statistics, biostatistics, data science, biomedical informatics, health informatics, clinical informatics, epidemiology, health economics, biometrics, operations research, engineering, computer science or similar fields.
Skills Requirements:
Strong machine learning programming skills in Python, strong statistical programming skills using R or SAS
Solid understanding proficiency in using machine learning frameworks (e.g., TensorFlow, PyTorch, OpenCV, Scikit-learn, Hugging Face, etc.)
Broad and in-depth hands-on professional experience and knowledge of RWD such as administrative claims, EHR/EMR, patient registry, and public-use databases, to generate RWE is required.
Experience identifying research cohort of interest using disease, procedure, therapeutic classification codes such as ICD-9-CM, ICD-10-CM, SNOMED, LOINC, NDC, HCPCS, CPT, etc., is required.
Good interpersonal communication and organizational skills with strong attention to detail, clarity, accuracy, and conciseness is required.
Ability to plan, organize, and work on multiple analytics tasks simultaneously in different but interrelated therapeutic areas is required.
Experience Requirements:
Master's degree in a related field with at least 5 years post-graduate experience conducting real world healthcare data research
Doctoral degree in a related field with at least 3 years post-graduate experience conducting real world healthcare data research.
Preferred Experience and Skills:
Foundational understanding of statistical and machine learning terminology, concepts and techniques in real world data is preferred.
Experience with outcomes research, including RWE studies, throughout the product lifecycle within biomedical research and/or healthcare organization is preferred.
Research experience in using LLMs on clinical data (BioBERT, MedBERT, etc.)
Familiarity with Generative AI and prompt engineering
Co-authored peer-reviewed publications that utilized data science methods, and/or dedicated to datathon, hackathon, Kaggle, or other competitions (recommend adding bibliographic records, url to competition leaderboard, and GitHub repository in the Resume/CV)
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.
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 (https://www.eeoc.gov/sites/default/files/2022-10/22-088\EEOC\KnowYourRights\10\20.pdf)
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 (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:
$139,600.00 - $219,700.00
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:
Domestic
VISA Sponsorship:
No
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
N/A
Required Skills:
Business, Data Analysis, Data Management, Data Science, Electronic Health Records (EHR), Epidemiology, Generative AI, Health Economics, Health Informatics, Outcomes Research, Project Management, Python (Programming Language), Real World Data, Stakeholder Relationship Management, Statistical Programming, Strategic Planning
Preferred Skills:
Job Posting End Date:
06/13/2025
*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: R350909
