Home › Companies › Iblyjb Fa Ocs Oraclecloud Com CX 2001 › Principal Statistical Programmer FSP - RWD/EPI
Principal Statistical Programmer FSP - RWD/EPI
Iblyjb Fa Ocs Oraclecloud Com CX 2001 · United States; United States - Remote - Eastern Time, Cambridge, MA, US; Canada - Remote - Eastern Time, Toronto, ON, CA · Remote · Deleted · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Iblyjb Fa Ocs Oraclecloud Com CX 2001 |
| Title | Principal Statistical Programmer FSP - RWD/EPI |
| Normalized title | - |
| Department / team | Statistical Programming - FSP |
| Location | United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | deleted |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-04-02 / 2026-05-31 |
| Changed / last seen | 2026-06-06 / 2026-06-03 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Iblyjb Fa Ocs Oraclecloud Com CX 2001. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Statistical Programming - FSP. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Iblyjb Fa Ocs Oraclecloud Com CX 2001 |
| Source | 118dd8bd-c51f-43c2-93a6-817304220200 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
You will contribute by:
Providing support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of statistical packages or platforms Supporting statistical programming to generate innovative means of data standardization, visualization, and reporting of observational data Supporting Medical Affairs (e.g. observational studies leveraging RWD); Global Patient Safety and Risk Management (e.g., analysis to obtain background rates) for the development of regulatory/safety documents, and Clinical Development (e.g.; assessment of patient populations/ protocol feasibility) The position will partner with Epidemiologists to manage relationships with internal and external stakeholders Being able to prioritize and manage work across multiple projects and stakeholders Providing strong communication to ensure successful and timely project delivery Solving technical problems with experience and expertise
Responsibilities
Summary of Key Responsibilities:
Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR) Liaise with data vendors to obtain relevant data extracts for research studies consistent with study protocols Create analytical databases from data extracts to facilitate conduct of data analyses Conduct analyses consistent with methods set forth in study protocols and analysis plans Produce tables and figures for discussions with other investigators, clients, and for study reports Present results internally and to clients Assist in the preparation of study reports and other deliverables May have supervisory responsibilities in the future
Qualifications
What we’re looking for:
Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of experience conducting RWE analytics for pharma industry, CRO, or academic institution Intermediate to expert level proficiency in SQL is a must. In addition, SAS or R proficiency is required Deep expertise analyzing RWE data sources such as Optum (Clinformatics Datamart® and Market Clarity), Truveta and UK Biobank. Experience analyzing clinical trial and/or registry data is desirable Familiarity with relational databases and proficient understanding of claims and ancillary file layouts Experience with applied statistics including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting Excellent project management skills; can prioritize multiple tasks and goals to ensure timely completion Confident and competent when interacting with internal and external stakeholders Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence
Full job record
| Job ID | 3b4bfaa0c0bea1c94ed1d65e776f56b6858602f5 |
| Org ID | 1db7e607-b344-4109-abb0-4cfac49e25b6 |
| Source ID | 118dd8bd-c51f-43c2-93a6-817304220200 |
| Board ID | 118dd8bd-c51f-43c2-93a6-817304220200 |
| Provider | oracle_hcm |
| Provider Job Key | 1414 |
| Title | Principal Statistical Programmer FSP - RWD/EPI |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | United States; United States - Remote - Eastern Time, Cambridge, MA, US; Canada - Remote - Eastern Time, Toronto, ON, CA |
| Department | Statistical Programming - FSP |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | Description You will contribute by: Providing support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of statistical packages or platforms Supporting statistical programming to generate innovative means of data standardization, visualization, and reporting of observational data Supporting Medical Affairs (e.g. observational studies leveraging RWD); Global Patient Safety and Risk Management (e.g., analysis to obtain background rates) for the development of regulatory/safety documents, and Clinical Development (e.g.; assessment of patient populations/ protocol feasibility) The position will partner with Epidemiologists to manage relationships with internal and external stakeholders Being able to prioritize and manage work across multiple projects and stakeholders Providing strong communication to ensure successful and timely project delivery Solving technical problems with experience and expertise Responsibilities Summary of Key Responsibilities: Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR) Liaise with data vendors to obtain relevant data extracts for research studies consistent with study protocols Create analytical databases from data extracts to facilitate conduct of data analyses Conduct analyses consistent with methods set forth in study protocols and analysis plans Produce tables and figures for discussions with other investigators, clients, and for study reports Present results internally and to clients Assist in the preparation of study reports and other deliverables May have supervisory responsibilities in the future Qualifications What we’re looking for: Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of experience conducting RWE analytics for pharma industry, CRO, or academic institution Intermediate to expert level proficiency in SQL is a must. In addition, SAS or R proficiency is required Deep expertise analyzing RWE data sources such as Optum (Clinformatics Datamart® and Market Clarity), Truveta and UK Biobank. Experience analyzing clinical trial and/or registry data is desirable Familiarity with relational databases and proficient understanding of claims and ancillary file layouts Experience with applied statistics including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting Excellent project management skills; can prioritize multiple tasks and goals to ensure timely completion Confident and competent when interacting with internal and external stakeholders Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://iblyjb.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/1414 |
| Apply URL | https://iblyjb.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/1414 |
| First Seen At | 2026-05-31 17:57:23Z |
| Last Seen At | 2026-06-03 10:59:47Z |
| Last Checked At | 2026-06-06 11:13:47Z |
| Last Changed At | 2026-06-06 11:13:47Z |
| Inactive At | 2026-06-06 11:13:47Z |
| Source Posted At | 2026-04-02 17:00:31Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=oracle_hcm/board=iblyjb.fa.ocs.oraclecloud.com|CX_2001/date=2026-06-03/2026-06-03T10-59-44-054Z-e920dd32b914250e03c8b11f037cc7dad6e0b094817f34a056d01496b540eb47.json |
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