Job Description
JOB DESCRIPTION In this role you will join our FSP team and will work in support of the Epidemiology and Value Evidence Strategy teams within our client, a top pharmaceutical company.
Note: Experience with non-US (UK CPRD, UKBB, EU THIN, JMDC) databases and linked claims/EHR are a must have. RESPONSIBILITIES You will contribute by:
- Providing support to the Epidemiology and Value Evidence Strategy teams by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities.
- Partnering with Epidemiologists to manage relationships with internal and external stakeholders including Value Evidence Strategy and Safety.
- Understanding, interpreting, and integrating data from various sources to ensure clinical/biological/regulatory questions can be answered appropriately with the available data.
- Assisting in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EMR).
- Creating statistical programs of high quality and well-documented data manipulation, analysis, outputs, and reports.
- Extensive experience selection of databases, study protocol design, statistical analysis plan, inclusion/ exclusion criteria, definitions of exposures, outcomes and covariates by medical codes for observational studies.
- Planning, understanding, managing expectations of stake holders in terms of project resourcing, feasibility, deliverables, and timeline.
- Solving technical problems with experience and expertise.
QUALIFICATIONS What we’re looking for:
- Strong recent experience in evidence generation using RWE data (Optum Market Clarity, TriNetX, IQVIA, McKesson Compile or other type of data that link claims and EHR/EMR), ex-US RWDs such as UK CPRD, UKBB, EU Thin, JMDC, etc.
- Familiarity with relational databases and proficient understanding of claims and ancillary file layouts.
- Knowledge of 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 programming skills with SQL, SAS, R.
- You can work independently and in a team.
- You are confident, self-reliant, and a quick learner.
- Good oral and written English communication skills are mandatory.
- Preferred, but not required: A Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and relevant years of experience conducting RWE analytics for pharma industry, CRO.
- Experience in burden of disease / HCRU / cost of illness, and/or pharmaco-epidemiological studies - please include publication in the resume.
Job Tags
Permanent employment,