Sr Scientist Real-World Evidence RWE - Capabilities and Analytics
Sr Scientist Real-World Evidence RWE - Capabilities and Analytics
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Job Description
Job Description
Job Summary
We are seeking a highly skilled and motivated data scientist with a strong background in Realworld 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 Realworld Data Analytics and Innovation (RDAI) team as well as other scientists within Outcomes Research (OR) to provide analytical support and methodological expertise for RealWorld Evidence (RWE) studies generation of input parameters for health economic models and exploratory RWE requests from crossfunctional 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 methodologiesdata 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 datadriven decisionmaking 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 publicuse 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 handson professional data science experience in RWE analytics including writing reviewing running and validating conventional and advanced programs generating analytic files and producing researchgrade TLFs in SAS R or SQL. Knowledge of Python programming is a plus.
Broad and indepth experience with RWD such as administrative claims EHR/EMR patient registry and publicuse 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 ICD9CM ICD10CM 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 crossfunctional 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.
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U.S. Hybrid Work Model
Effective September 5 2023 employees in officebased positions in the U.S. will be working a Hybrid work consisting of three total days onsite per week Monday Thursday although the specific days may vary by site or organization with Friday designated as a remoteworking day unless business critical tasks require an onsite Hybrid work model does not apply to and daily inperson attendance is required for fieldbased positions; facilitybased manufacturingbased or researchbased positions where the work to be performed is located at a Company site; positions covered by a collectivebargaining 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 candidates relevant skills experience and education.
Expected US salary range:
$114700.00 $180500.00Available 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 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
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Employee Status:
RegularRelocation:
DomesticVISA Sponsorship:
NoTravel Requirements:
10Flexible Work Arrangements:
HybridShift:
Not IndicatedValid Driving License:
NoHazardous Material(s):
n/aJob Posting End Date:
05/1/2025*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.
Required Experience:
Senior IC
Employment Type
Full-Time
