Hiring: Associate Director, Real-World Analytics Programing Company: Jobgether Location: United States Job Posted Time: 2026-09-17 09:48:49 Employment Type: Remote Target Skills & Keywords : AI, EHR, Electronic Health Records, GDPR, Git, Project Management, Python, R, SQL About the job Experience: •8+ years of statistical programming experience in pharmaceutical, biotechnology, CRO, healthcare research, or related environments, with substantial experience operating at a senior level. Required Skills: •Serve as a lead programmer, owning programming activities from study initiation through final deliverables and ensuring that analyses are accurate, reproducible, and aligned with study requirements. •Interface directly with large and complex healthcare data sources, including claims, electronic health records, genomic data, and linked clinical-genomic datasets. Qualifications: •Hold a BS or MS degree in Statistics, Biostatistics, Computer Science, Data Science, Epidemiology, Mathematics, or another relevant quantitative discipline. •Bring 8+ years of statistical programming experience in pharmaceutical, biotechnology, CRO, healthcare research, or related environments, with substantial experience operating at a senior level. •Demonstrate experience independently leading programming activities for observational research, HEOR, epidemiology, or real-world evidence studies from initiation through final deliverables. •Have strong SAS or R programming expertise, including experience developing analytical datasets and study deliverables from complex healthcare data sources, together with required SQL proficiency. •Demonstrate working knowledge of R or another programming language for data manipulation, analytics support, and quality control activities where applicable. •Bring experience developing analysis datasets, tables, listings, and figures from large and complex healthcare or real-world data sources. •Have experience working with healthcare databases such as claims, EHR, genomic, registry, or linked clinical-genomic datasets, with oncology data experience strongly preferred. •Possess a strong understanding of observational research workflows and the ability to accurately translate protocols, SAPs, and analytical specifications into programming solutions. •Demonstrate strong analytical, problem-solving, organizational, and project management skills, with exceptional attention to detail and the ability to manage multiple studies and competing priorities. •Have excellent written and verbal communication skills and the ability to explain technical decisions, assumptions, risks, and timelines to cross-functional stakeholders. Compensation: •$177,000 - $221,000 / year •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package •Eligibility for robust equity awards Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!