[ref. c85161502] Real-World Evidence: Statistical Programmer II FSP

JOB DESCRIPTION

In this role you will join our FSP team and work in a Real-World Evidence and Analytics group within our client, a top pharmaceutical company.

There is openness for career advancement in this team.

Note: MARKET SCAN and/or OPTUM experience is a must have.

You will contribute by:

• The position provides 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.
• Understand, interpret, and integrate data from various sources to ensure clinical/biological/regulatory questions can be answered appropriately with the available data.
• Assist in development of study protocols and analyses plans leveraging large RWD sources (Claims and/or EMR).
• Creation statistical programming of high quality and well documented data manipulation, analysis, outputs, and reports.
• Extensive experience in burden of disease / HCRU / cost of illness, and/or pharmaco-epidemiological studies - please include publication in the resume.
• 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
• Plan, understand, manage expectations of stake holders in terms of project resourcing, feasibility, deliverables, and timeline.
• Additionally, this position will be expected to solve technical problems with experience and expertise.

QUALIFICATIONS

What we’re looking for:

• Must have 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.
• You have strong recent experience in evidence generation using RWE data (Optum Clinformatics Datamart®, Merative MarketScan® Databases, EHR, or other types).
• Familiarity with relational databases and proficient understanding of claims and ancillary file layouts
• You have 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.
• You have 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.

What’s in it for you:

• You will have the opportunity to play an integral role helping our clients and the industry shape the future of drug development.
• You will be part of an exciting new chapter in Cytel’s history with high growth and opportunities to progress in Senior and Leadership positions within the company.
• Work in an environment designed for an entrepreneurial minded person with a lot of energy, ideas and courage for their implementation.
• Work with and leverage the best and brightest minds in the industry.