The Lotus Group LLC

Position Summary
The Associate Director, Real World Analytics serves as lead programmer on assigned real world studies, owning delivery from kickoff through final outputs. This role partners directly with RWE and HEOR scientists, epidemiologists, biostatisticians, and data scientists to translate research questions into analysis specifications and deliver the results. This is an individual contributor role.
Responsibilities
<ul>
<li>Lead programming on assigned oncology real world studies, including treatment patterns, burden of illness, comparative effectiveness and safety, natural history, and external control arm analyses</li>
<li>Author analysis dataset specifications, TLF shells, and validation plans</li>
<li>Construct cohorts from EHR, claims, and linked clinical genomic data, including index date and endpoint definitions</li>
<li>Implement statistical methods including survival analysis, propensity score methods, confounding adjustment, and sensitivity analyses</li>
<li>Produce and validate tables, listings, and figures for internal, publication, and external use</li>
<li>Maintain programming documentation, QC records, and traceability across the study lifecycle</li>
<li>Develop reusable macros, codelists, and standardized frameworks to support team efficiency</li>
<li>Provide technical guidance to junior programmers</li>
</ul>
Qualifications
<ul>
<li>BS or MS in statistics, biostatistics, epidemiology, computer science, data science, or mathematics</li>
<li>8 or more years of programming experience in real world data, observational research, or related analytics</li>
<li>Proficiency in SQL, plus SAS, R, or Python</li>
<li>Direct experience with EHR and claims data, including Optum and comparable assets</li>
<li>Demonstrated experience leading real world studies end to end as the primary programmer, from specification through final deliverables</li>
<li>Working knowledge of observational study design and analytic methods for real world data</li>
<li>Established QC and validation practices</li>
</ul>
Preferred Qualifications
<ul>
<li>Oncology real world evidence experience</li>
<li>HTA, market access, indirect treatment comparison, or regulatory grade RWE experience</li>
<li>Experience with genomic or linked clinical genomic datasets</li>
<li>OMOP CDM experience</li>
<li>Git, version control, and reproducible workflow practices</li>
</ul>

Associate Director Real World Analytics

Associate Director Real World Analytics

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