• Research and experiment with multifamily datasets to identify opportunities for new product features and pricing insights. • Partner with product managers and engineers to define requirements and design data-driven capabilities for ApartmentIQ's revenue management products. • Translate revenue management workflows into scalable tools and features — you should be able to sit in a pricing call and immediately understand what the revenue manager is trying to solve. • Apply LLMs and other AI techniques to accelerate research, automate workflows, and unlock new insights from structured and unstructured market data. • Design and run experiments to measure whether our data and recommendations actually drive better RM outcomes for customers. • Act as a subject matter expert on multifamily revenue management, ensuring the product reflects real-world operator needs. • Create clear documentation, dashboards, and analyses to communicate findings and product opportunities. • Stay current on multifamily industry trends, data sources, AI/ML advances, and pricing methodologies.

• A Data Scientist III in Brain Research is a senior, research-focused professional who applies advanced analytics, statistical modeling, and machine learning to support neuroscience studies and clinical discovery. • In close partnership with Principal Investigators (PIs), this role designs and executes research initiatives using multimodal neuroimaging data—including MRI, fMRI, and DTI—to examine structural and functional changes across the brain. • Key responsibilities include developing Python-based computational workflows for data preprocessing, analysis, and modeling; testing and validating hypotheses across specific brain regions; and translating complex analytical results into clear, actionable insights for research and publication. • Collaborating with cross-functional teams to design and build data-driven software systems, such as analytics platforms, data pipelines, and machine learning–enabled applications. • Advancing disease-focused research including Alzheimer’s disease, stroke, and epilepsy by uncovering patterns in brain data that inform diagnosis, disease progression, and treatment strategies. • Developing new software, data models, and proof-of-concept solutions, ensuring rigorous testing and validation to deliver reliable, production-quality outcomes while working closely with PIs throughout the research lifecycle.

• Design, build, validate, and deploy machine learning models across the full data science lifecycle, including exploratory analysis, feature engineering, model development, validation, deployment, and monitoring. • Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement. • Build AI-powered applications leveraging LLM APIs, prompt engineering, and RAG pipelines to support clinical and operational workflows. • Ability to work with diverse healthcare data sources including EHRs, claims, and clinical registries. • Translate complex analytical findings into meaningful, actionable insights for clinical and operational stakeholders. • Manage documentation of best practices and scalable frameworks that can be applied across client engagements. • Mentor and guide client counterparts to build the skills needed to sustain and expand on project deliverables.

Role Description The Senior Principal Statistician, Biostatistics will be a lead statistician on individual studies, across related studies, and for integrated summaries. This role is responsible for all statistical aspects of study design, study analysis and validation, and study documentation. The Senior Principal Statistician will provide timely and scientifically sound statistical expertise to clinical development projects and develop and execute statistical strategy, design, and analyses for clinical trials. This position will work collaboratively with various departments and manage work done by statistics and programming external vendors. Essential Functions - Participate in department and cross-functional meetings to optimize clinical study designs, endpoints, and analysis strategies in protocols. - Collaborate with cross-functional team members to meet study report timelines. - Support the development and implementation of study protocols. - Review and provide input to data capture systems and participate in their validation. - Develop statistical programs to simulate clinical trial design operating characteristics, perform analysis, prepare data displays, and verify data accuracy. - Write and review statistical analysis plans, perform and oversee data analysis and validation, and interpret analyses. - Prepare for and attend meetings with regulatory agencies. - Work with biostatistics compound/therapeutic area lead and peer management to develop, implement, and maintain department standards and practices. - Review timelines and analysis plans for CRO work to ensure timeliness and quality deliveries. - Review and validate CRO deliverables. - Act as the statistical subject matter expert with medical writers and colleagues in the production of clinical reports and integrated summaries. - Respond to statistical questions from regulatory agencies. Qualifications - Knowledge of clinical trial design and analysis, including complex statistical methods and models. - Experience in using SAS and R; knowledge of other statistical applications and programming languages is a plus. - Knowledge of applicable regulatory requirements and guidelines, e.g., ICH Guidelines. - Able to work in a fast-paced, flexible, team-oriented environment. - Excellent interpersonal and communication skills (written and verbal). - Strong attention to detail with a view to bring studies to a quality conclusion. - Flexible, positive, creative thinker, good communicator. - Work without close supervision; well-developed time management skills are important. Requirements - MS or MPH in statistics, mathematics, or a related discipline with > 4 years of experience in pharmaceutical or biotechnology industry. - PhD in statistics, mathematics, or a related discipline with > 2 years of experience in the pharmaceutical or biotechnology industry. - Knowledge of drug development regulations pertinent to statistical analysis. - Knowledge of the oncology or hematology therapeutic area is preferred. - Bayesian and adaptive design experience is preferred. - Proficient SAS & R programming skills, solid understanding of CDISC models and standards. - Excellent writing and communication skills, demonstrated leadership abilities, and excellent interpersonal skills. Benefits - Medical, dental, and vision insurance. - 401k retirement savings plan. - Flexible paid vacation. - Discretionary annual cash bonus or incentive compensation (depending on the role). - Discretionary equity grants in accordance with Jazz’s Long Term Equity Incentive Plan.