Epidemiological Programmer, Real World Evidence

IQVIA; Reading; On-site; GBP 50,000 - GBP 70,000; Full time

Job summary

A leading global provider of clinical research services is hiring an Epidemiological Programmer in Reading, UK. The role involves leading dataset development and conducting analyses for observational studies, focusing on virology. Ideal candidates will have a Master's degree or PhD in relevant fields with extensive experience in RWD analysis. Proficiency in statistical programming using SAS, R, and SQL is required. The position is full-time and offers the opportunity to manage multiple complex studies.

Qualifications

• 5-8 years relevant experience or 3 years with PhD.
• Strong track record of analysis of RWD using EMR and claims data.
• Prior pharmaceutical experience.

Responsibilities

• Lead development of analytic datasets through raw data processing.
• Collaborate with epidemiologists on study design and methodology.
• Manage and prioritize multiple tasks and projects.

Skills

Statistical programming

Data analysis

Epidemiological study design

Communication skills

Project management

Education

Master's Degree in Biostatistics, Epidemiology, Outcomes Research or related field

PhD in relevant field

Tools

SAS

R

SQL

Job description

Epidemiological Programmer, Real World Evidence - FSP (Sponsor – Dedicated) page is loaded## Epidemiological Programmer, Real World Evidence - FSP (Sponsor – Dedicated)locations: Reading, Berkshire, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R1524219IQVIA is hiring to expand our dedicated Real World Evidence (RWE) FSP team, working fully within the environment of a prominent Pharma company. This Epidemiological Programmer role sits within our Real World Solutions team and will be responsible for leading development of datasets and conducting longitudinal analyses for observational studies in the virology therapeutic area under one client portfolio. It is important for this individual to have demonstrated experience and applied proficiency in observational research utilizing EMR and claims data, a strong statistical programming skillset, both knowledge and applied experience with epidemiological study design, terminology, cohort building, and RWE outcome measures, and experience managing multiple studies and complex analyses. In this role, individuals will have access to real-world databases and act as the stewards of the client’s best practices, standards, and methodologies underlying the use of real-world data (RWD).**Essential Functions*** Lead development of analytic datasets through raw data processing and conduct data checks / cleaning using secondary real world data sources, including claims, EHR, and lab data (e.g. Optum, HealthVerity, TriNetX, IQVIA PharMetrics Plus)* Lead the feasibility of real-world data sources to characterize patient population, build patient cohorts, and define and validate key variables specific to study objectives.* Conduct and QC analyses, including identification of diagnosis and treatment codes and applying statistical methods to handle censored data, confounding, differing person-time, and missing data* Collaborate with epidemiologists on study design and methodology, as well as define specifications for descriptive and complex statistics (e.g. longitudinal analysis, survival analysis, regression models, propensity score methods) in studies using RWD for virology research questions* Develop and QC TFLs for protocols/reports/manuscripts using RWD (e.g. claims and EHR)* Support development of other study documents including protocols, statistical analysis plans, and study reports* Communicate timelines, progress reports, and results to project team and key stakeholders* Provide technical, programming, statistical, and epidemiological expertise and independently bring project solutions to team for complex studies**Qualifications*** Master's Degree in Biostatistics, Epidemiology, Outcomes Research or related field with 5-8 years relevant experience or PhD with 3 years relevant experience required* Strong track record of analysis of RWD using EMR and claims data* Demonstrated proficiency in advanced statistical programming using SAS and/or R, macros, SQL required* Demonstrated experience and applied proficiency of RWE study design, terminology, cohort building, and analytic methodologies* Prior pharmaceutical experience* Excellent analytic and communication skills with attention to detail* Ability to effectively manage and prioritize multiple tasks and projectsIQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more atIQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.locations: Reading, Berkshire, United Kingdomtime type: Full timeposted on: Posted 12 Days AgoIQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.