Katalyst CRO ยท 3 weeks ago
Statistical Programmer III
Katalyst Healthcares & Life Sciences is a company that provides customized real-world data and real-world evidence solutions for life sciences partners. They are seeking a Statistical Programmer III to independently translate analytic specifications into R code, serve as a subject matter expert, and mentor junior staff while collaborating with cross-functional teams to deliver client-sponsored research studies.
AnalyticsBiopharmaData ManagementHuman ResourcesQuality Assurance
Responsibilities
Team provides customized real-world data and real-world evidence solutions to address the most important research questions across clinical development, market access, and commercial use cases for our life sciences partners
Independently translate analytic specifications from a statistical analysis plan into R code to create analytic datasets, generating descriptive and inferential statistics, data visualizations, often involving Client variables or complex statistical methods, in consultation with the study principal investigator
Serve as subject matter expert on appropriate use cases for, and nuances of, the variety of different Flatiron data modalities, including EHR-derived real-world data, clinico-genomics data, ML-extracted data, and claims data
Develop a proficient understanding of cancer biology, therapy, and/or epidemiology across multiple major tumor types and appropriately apply this understanding when crafting analytic code
Provide mentorship and support to more junior statistical programming staff
Collaborate with cross-functional stakeholders across our medical and scientific organization to execute and deliver on client-sponsored research studies in an accurate, effective, and timely manner
Contribute to continuous improvement of Flatiron's proprietary analytical tooling and templates, at times acting as liaison to the relevant teams and stakeholders
Continue to develop a deeper understanding of real-world data and related methodologies used to generate real-world evidence
Work closely with Epidemiology and Biostatistics to assure output quality by providing expert feedback on SAP, Analytic/TLF specifications from functional perspective
Qualification
Required
Doctorate degree (e.g., PhD, ScD, DrPH) in Biostatistics/Statistics, Data Science, Bioinformatics, Biological Sciences, Public Health, Math, or a closely related field with 3-4 years of relevant experience, or a Master's degree with 6-7 years of relevant experience or a bachelor's degree with 7-8 years of relevant experience
Analytical thinker and excellent communicator with experience analyzing real-world data (e.g., healthcare claims or electronic health records)
Excellent programmer in R (including tidyverse) and proficient working in Git-based environments (e.g., Github, Gitlab)
Solid experience in creating Tables, Listings, and Graphs using R packages
Create/review programming documents (e.g., programming plan, specification for datasets and output template)
Knowledge of ICH guidelines, FDA / EMA / other regulatory authority guidance from a programming standpoint
Extensive experience with large healthcare-related datasets (e.g., administrative claims, electronic medical records, genomics)
Experience leading teams, either as a manager or project/team lead
Familiar with CDISC conventions, i.e. SDTM and ADaM models (using SAS) and related controlled terminologies, and knowledge or some experience using these models
Company
Katalyst CRO
Katalyst CRO | Advancing Healthcare & Life Sciences with Expert Research & Regulatory Solutions Katalyst Healthcare & Life Sciences (Katalyst CRO) is a Global Contract Research and Knowledge Process Outsourcing Organization (CRO) dedicated to driving innovation in research, regulatory compliance, and quality excellence for pharmaceutical, biotechnology, and medical device companies worldwide.
H1B Sponsorship
Katalyst CRO has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (37)
2024 (14)
2023 (24)
2022 (52)
2021 (54)
2020 (39)
Funding
Current Stage
Growth StageRecent News
2024-04-07
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