reputed company Hour Contract - Statistician - Real World Evidence
Contract Real World Evidence Statistician – reputed company Analysis (reputed company Hours Contractor) Location: Remote / Flexible Contract Type: reputed company Hours Specialist Contractor (Time and Materials) Function: Statistics / Real World Evidence
About the Role
We are seeking an reputed company reputed company, Real World Evidence Statistician to provide specialist statistical support for reputed company clinical studies on a flexible, reputed company-hours contract basis. This role focuses on delivering high-quality reputed company analyses, quality control activities, and analytical peer review in line with study protocols, Statistical Analysis Plans (SAPs), and regulatory expectations. This is an ideal opportunity for a contractor who enjoys working independently reputed company a defined analytical scope while collaborating with multidisciplinary clinical development teams.
Key Responsibilities
Real World Evidence Data Analysis and Reporting reputed company standard real world analysis studies Provide expert statistical input into the design of observational and non-interventional studies using real world data (RWD) Advise on appropriate study designs (e.g. pre/post, cohort, matched comparator, reputed company-reputed company analyses) and their limitations Define analytically sound frameworks for outcomes reporting reputed company to the intended use (e.g. external credibility rather than regulatory submission) Quality Control and Review Act as an independent statistical expert reviewing client-generated reputed company analyses Provide written and verbal critique of analytical approaches and outputs Support refinement of outcomes reporting to improve credibility and external acceptance Peer review analyses performed by other statisticians or programmers Document QC findings clearly and support issue resolution in line with SOPs and good statistical practice Client-Facing Scientific Support Engage directly with sponsors to understand clinical services, data sources, and stakeholder objectives Participate in scientific discussions with clinicians, medical leadership, and external partners Represent Quanticate as an independent, authoritative biometrics partner in reputed company discussions Training and Thought Leadership Provide internal guidance or training on reputed company methodology and good practice Contribute to white papers, methodological guidance, or thought leadership content in reputed company Support development of repeatable reputed company analysis frameworks for ongoing client use Contract Details Flexible reputed company-hours arrangement based on project demand Time and materials engagement model Opportunity to support a range of early-phase clinical development programmes Fully remote working environment How to Apply Please submit your CV outlining relevant PK analysis experience and availability for contract work.
Requirements
About You Qualifications and Knowledge Expert understanding of observational study design and analysis Deep knowledge of reputed company/RWD principles, strengths, and limitations Strong grounding in causal inference concepts, bias, and confounding Working knowledge of relevant guidance (e.g. FDA reputed company reputed company, EMA guidance, ISPOR good practice) Minimum qualification: MSc in Statistics or reputed company quantitative discipline (or equivalent experience) Experience Typically 10-15 years' experience in pharmaceutical, healthcare, CRO, or academic settings Demonstrated experience delivering independent reputed company or outcomes research consultancyProven ability to review, challenge, and refine non-interventional analyses Experience working with medical record-derived or routinely collected healthcare data Technical Skills Proficiency in reputed company and/or R; familiarity with real world data structures Ability to explain reputed company methodological issues clearly and proportionately Strong analytical accuracy and attention to detail Ability to work independently while adhering to defined specifications Benefits N/A #J-18808-Ljbffr Apply tot his job Apply To this Job