Role Description We are hiring a Data Scientist to lead forecasting and optimization efforts within our platform. Reporting to the Sr. Director of Engineering, this role will define how quantitative models are built, productionized, and integrated into the system’s core functionality. Our DERMS creates and runs virtual power plants (VPPs), requiring forecasting and optimization of delivered capacity in real-world grid environments. This is a senior individual contributor role with broad ownership. You will design and deploy forecasting and optimization systems that directly shape product behavior and operational workflows. The role requires comfort working across the full stack of quantitative development — from raw data plumbing to production deployment. The candidate must have prior experience in electricity and capacity markets; must be knowledgeable in distribution grid topology; and operational boundaries of batteries, EVs, and large commercial buildings. Qualifications - 7+ years of experience in data science, applied statistics, quantitative engineering, or related fields - Real-world experience building electric load forecasting models - Strong understanding of constraint programming and multi-objective optimization for real-time systems - Experience building optimization models and implementing them in energy / capacity markets - Background in time-series analysis and regression-based modeling - Proven experience deploying and maintaining models in production environments - Comfort working with highly variable real-world data from numerous and varying sources, and building the supporting infrastructure - Strong programming skills in Python (or similar) - Ability to operate autonomously and make sound technical trade-offs - Strong communication skills across technical and non-technical audiences Requirements - Experience in the DERMS / VPP space (Nice to Have) - Familiarity with US energy and capacity markets specifically (Nice to Have) - Background in Bayesian modeling (Nice to Have) - Knowledge of distribution grid topology and the operational boundaries of batteries, EVs, and large commercial buildings (Nice to Have) Benefits - Medical insurance - Vision insurance - Dental insurance - Employer paid life insurance, AD&D, and disability insurance - Competitive 401(k) match – up to 6% - Performance based bonus - Potential profit sharing - Paid time off, holidays and other paid leave

• Design, monitor and measure complex A/B tests and experiments to validate business hypotheses, ensuring the statistical robustness of decisions. • Create sales performance metrics for products and develop solutions that improve portfolio profitability. • Develop descriptive and predictive data science solutions focused on process optimization, resource allocation and decision support for health and portfolio performance areas. • Execute all stages of the data science solution lifecycle: business understanding, variable study and preparation, mathematical/statistical modeling, performance validation, support for model deployment to production and measurement of results. • Collaborate with the functional area on the design, use and monitoring of models.

Role Description ClinChoice is searching for a Principal Clinical Data Scientist Consultant – R Programmer to join one of our clients. We are seeking a Principal Clinical Data Scientist to join our Scientific Computing Technology group, which builds the open-source tools, R packages, SAS macros, and computing systems that power clinical programming, data management, and biostatistics across the organization. Reporting to the Director of Statistical Programming, this role blends hands-on clinical deliverables with contributions to the open-source and internal tooling that supports the wider clinical technical community. The ideal candidate has strong R skills, deep clinical programming experience, working Python familiarity, and an interest in modern, reproducible workflows. This position is open to remote candidates. Key Responsibilities - Develop, validate, and maintain SDTM and ADaM datasets in R — using admiral and the broader pharmaverse — following CDISC standards. - Generate Tables, Listings, and Figures (TLFs) in R or SAS as required by study needs. - Perform Pinnacle21 validation, resolve findings, and refine specifications to ensure CDISC compliance and submission readiness. - Write efficient, reproducible, well-structured R code for clinical data analysis and reporting. - Contribute to open-source and internal tooling — including R Shiny / teal modules, R packages, SAS macros, and Python utilities — used by clinical programming, data management, and biostatistics teams. - Partner with statisticians, data managers, and clinical teams to translate programming requirements into reliable deliverables. - Perform QC, reconcile data issues, and ensure outputs meet regulatory expectations (e.g., FDA, EMA). - Support automation, pipeline development, and version-controlled workflows. - Use SAS for legacy studies or where SAS support is needed. Qualifications - Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field. - 5+ years in clinical programming, with a strong focus on R. - Proven experience producing SDTM and ADaM datasets in R, including hands-on use of admiral. - Experience with Pinnacle21 validation and remediation. - Working knowledge of SAS programming. - Working knowledge of Python for analytics, scripting, or tooling. - Solid understanding of CDISC standards (SDTM, ADaM) and metadata-driven programming. - Experience with clinical trial data, regulatory submissions, and QC processes. - Strong analytical, problem-solving, and documentation skills. Preferred Qualifications - Broader pharmaverse experience (e.g., tidyCDISC, rtables) and tidyverse fluency. - Experience building or contributing to R Shiny apps, teal modules, or R packages used by other teams. - Exposure to AI/ML tooling in a clinical or programming context. - Real-World Evidence (RWE) experience — e.g., mapping Flatiron or claims/EHR data into CDISC-aligned structures. - R Markdown, Quarto, or other reproducible reporting workflows. - GxP validation, Git-based version control, and CI/CD or automated workflows. - CRO or pharmaceutical industry experience. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we have received it. If you have the requirements we need, you will be invited for a phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.

• Own data management study deliverables end-to-end — from data capture tool development through database lock • Partner closely with CROs and third-party vendors to keep clinical data accurate, timely, and audit-ready • Represent DM as the functional lead at study team meetings; responsible for communication and collaboration • Assumes ownership for DM study deliverables within DM scope of services including overseeing overall quality • Data Reconciliation including coordination of transfers and issue resolution with other functional areas • Investigation and remediation of reviewer-reported data issues • Coordinates with ProKidney, CRO and other 3rd party vendors to develop and maintain DM startup timelines • Responsible for submitting queries in the EDC and with the central laboratory • Ensure quality check of clinical data as appropriate for statistical review, interim review, and final database lock • Responsible for database lock, close-out audit and archiving activities • Manage and store data transfers from 3rd party vendors • Development and management of patient profiles for clinical review and data cleaning