Role Description As a Principal Scientist on the Data Insights and Hypothesis Design team, you will ensure the scientific coherence of Tempus’ multimodal data platform while bridging the gap between complex molecular science and scalable data engineering. This position requires strong computational, statistical, and translational research skills, alongside a deep interest in reproducible science and artificial intelligence. You will serve as a cornerstone for expanding our multi-modal applications beyond our foundational oncology roots, actively spearheading scientific efforts to support emerging, large-scale datasets in neurology (Alzheimer's disease) and Immunology & Inflammation (I&I). Key Responsibilities - Data Evaluation & Prototyping: Conduct rigorous data evaluations, write technical code (SQL, R, Python), and prototype new data offerings within the Tempus Data Model (TDM). Deliver implementation-ready table and column specifications to seamlessly transition initial concepts into scalable, production-grade offerings. - Client Alignment & Scientific Advisory: Translate complex client research objectives across the drug discovery and development lifecycle into actionable clinico-genomic data strategies. Ensure seamless alignment between client hypotheses and Tempus capabilities, effectively matching the right datasets to their specific research needs and guiding how to best leverage them. - Cross-Functional Subject Matter Expertise: Serve as a core scientific authority across the organization. Evaluate datasets, perform User Acceptance Testing (UAT), and build data insight reports and capability demonstrations that empower various teams with scientifically validated evidence. - Cross-Domain Data Oversight: Support the continuous growth and scaling of Tempus' expanding clinical-genomic footprint across diverse disease domains, with an active focus on neurology and Immunology. Bring a holistic, cross-disciplinary view of human biology to profile and validate terabyte-scale datasets, leveraging a proven track record of scientific agility to seamlessly adapt, uncover novel biological patterns, and extract meaningful findings across varying disease areas. Qualifications - PhD in a quantitative, NGS-related discipline (e.g., Computational Biology, Genetics, Bioinformatics, Systems Biology) with 6+ years of industry experience across precision medicine, translational research, scientific product development, or related commercial and operational areas. - Deep expertise in at least one of oncology, neurology, or immunology. Additionally strong, demonstrable experience analyzing large-scale clinico-genomic datasets across multiple disease areas. - Proven experience collaborating directly with data engineering and platform teams to build large-scale relational databases, design advanced SQL data models, and support the robust infrastructure needed to create and deploy massive, production-grade models. - Active, up-to-date expertise with cutting-edge computational modeling, including experience leveraging foundation models, generative AI architectures, and agentic workflows to interpret and navigate complex biological data. - Deep expertise executing multi-omic analyses across a diverse spectrum of high-throughput sequencing applications and biotechnologies, including specialized NGS modalities such as single-cell sequencing, immunomics, metagenomics, and varied sequencing platforms. - Proven experience bringing data to market and translating scientific analyses into production-grade data products or clinical-facing solutions. - Proficiency in Python and/or R for reproducible scientific analysis, workflow development, and data visualization. - Strong cross-functional communication skills with the ability to architect end-to-end execution plans, manage client expectations, and mentor technical peers through structured delegation. Requirements - CHI: $150,000-$200,000 - NYC/SF: $165,000-$225,000 - The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Benefits - Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Company Description We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Role Description We are seeking an exceptional leader to join our dynamic and innovative growth in Mission Critical Facilities and Data Centers, under our Life & Technology Sciences Platform. This pivotal role involves managing complex leading all project delivery activities for commercial real estate projects, delivering tailored solutions that exceed client expectations. The ideal candidate will serve as the main point of contact for clients, ensuring all aspects of the project engagements are handled with the highest level of professionalism and efficiency. This role demands a unique blend of expertise across diverse fields, along with exceptional project management and interpersonal skills. The leader will act as a crucial liaison, coordinating between the company's various departments, third-party partners, and clients, to ensure a seamless integration of services. This position is not just about business development or managing projects but also about fostering a culture of collaboration and innovation, working closely with the Project & Development Services leadership team to champion cross-business initiatives that benefit our clients, colleagues, and broader community interests. Our ideal candidate will embody professionalism and integrity, bringing forward-thinking strategies to the table. They will play a key role in upholding the values and standards of Cushman & Wakefield, driving the company towards achieving win-win solutions in all engagements. This role is an extraordinary opportunity for a visionary professional to influence and shape the future of our diverse and rapidly evolving sectors. If you are passionate about leading cutting-edge projects and making a significant impact in the industry, we encourage you to apply for this exciting position. Qualifications - Bachelor's degree in a Science or Mechanical and/or Electrical engineering disciplines. Advanced degrees are desirable. - 5 to 10+ years of Design and Construction industry experience in the aforementioned fields. - 7+ years of Commercial Real Estate Project Management experience with related experience in product development, launch, business process optimization, regulatory submission and/or regulatory compliance, and/or quality assurance. - Proven track record with delivering complex commercial Real Estate and Design/Construction projects. - Experience with providing advanced projects controls solutions, including P3/Primavera and Cost and Budget Estimating solutions. - PMP and LEED Certificates preferred. - Knowledge and application of a disciplined Project Management process (Six Sigma desirable). Requirements - Extensive experience in leading projects within Mission Critical and Advanced Technologies Sectors. - Proven track record in managing complex commercial Real Estate projects. - Strong leadership skills with the ability to act as a liaison across various departments and external partners. - Excellent communication, organizational, and project management skills. - Commitment to professionalism, ethical standards, and innovative problem-solving. - Demonstrates subject matter expertise in the development and completion of aforementioned project types. - Acts as the trusted business advisor and strategic partner by the clients both internally and externally. Benefits - Health, vision, and dental insurance. - Flexible spending accounts. - Health savings accounts. - Retirement savings plans. - Life and disability insurance programs. - Paid and unpaid time away from work. - Competitive pay based on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.

Role Description We are seeking a Senior Customer Success Data Scientist to join our team in the North America region. California is preferred, and we will consider US West Region; Arizona, Oregon, Washington. This role is ideal for a candidate with proven expertise in the High Tech Manufacturing Industry and a strong passion for Industrial AI and Analytics and Visual Data Science. In this role, you will be the driving force behind long-term customer success for a portfolio of clients, responsible for achieving high adoption, retention, and satisfaction. You will serve as a trusted advisor to all customer stakeholders and act as the key liaison between the customer and internal Spotfire teams. The successful candidate will leverage their hands-on prowess and thought leadership to significantly grow our customers' analytical capabilities using Spotfire. A key part of the role involves developing analytical deliverables, employing methods from exploratory analytics to machine learning, statistical modeling, and AI. Joining a highly collaborative team, you will deliver outcomes that enhance both product and account health. Furthermore, you will have exciting opportunities to represent Spotfire at industry events and contribute to our active customer and partner community. Responsibilities - Technical Strategy: Use Spotfire and data science skills to collaborate with customers, translating their business objectives into actionable success plans. Develop a deep understanding of industry analytics use cases. Customer Success plans include onboarding, adoption, monitoring support, managing upgrades, enabling new features, and establishing a center of excellence. - Trusted Advisor: Aware of industry context and understanding customer needs through regular customer health assessments you can build consultative relationships and act as trusted advisor helping navigate challenges and building long-term customer advocacy. - Innovation: Perform and guide R&D topics in the field of applied machine learning and AI. Translate customer business goals into technical objectives and help create custom solutions for industry use cases, providing guidance, and building prototypes. Projects include Large Language Models, digital twin, anomaly detection in time series, or mathematical modeling of manufacturing processes. - Cross-functional Collaboration: Collaborate with sales, support, product management, and engineering to align and support strategy, improve customer outcomes, help resolve escalations, find sales opportunities, and provide product roadmap input. This involves gathering and sharing detailed information, analysis, and investigation to address numerous, often undefined, problems and requests. - Education and Community: Actively engage with your customers in the Spotfire community to drive adoption and enablement. Contribute relevant industry and data science content. Represent the team in industry events and external conferences. - Personal Development: Continue to develop expertise and monitor trends in industry analytics and visual data science tools and techniques. - Organizational Impact: Works to achieve operational targets with major impact on the departmental results and work is performed with limited supervision. - Leadership and Talent Management: Some level of coaching and training of other employees within the job area will be involved. Qualifications - 3-5+ years of data science experience using software environments and programming languages e.g. Spotfire, Tableau, Qlikview, JMP, KNIME, Dataiku, Azure, AWS, Databricks, Snowflake, and for programming languages Python, R. - Experience with other software components for data preparation and integration e.g. Data Virtualization is a plus. - Knowledge of SQL, .Net, Java, IronPython, Javascript, C++ and knowledge of Generative AI is a plus. - 3-5+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements or deployed software applications. - Problem-solver with experience applying advanced analytics such as machine learning and optimization techniques to large, complex and disparate data sources. - 3-5+ years of Industry experience in applying analytics to the sector specific data problems in key Industry such as Manufacturing, Energy, Transportation & Logistics and Life Sciences. - Excellent communication and relationship-building skills are essential, including the ability to pro-actively influence and cultivate long-term relationships with internal and external stakeholders. - Collaboration skills - strong ability to work effectively in an internal and customer team environment and to manage multiple projects to a good final outcome. - Bachelor's or higher degree in Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study with graduate classes in statistics and data mining. - Language Skills: Proficiency in English is required. Fluency in Spanish or Portuguese is a plus. Requirements - You must have full working rights for the United States. If on a work permit or visa, please make sure the details along with expiry date are included on your application. Benefits - U.S. based employees are typically offered access to healthcare, life insurance and disability benefits, 401(k) plan and company match, among others.

• Leads and manages the entire lifecycle of data science projects, from conceptualization and design to development, deployment, and ongoing optimization. • Collaborates with cross-functional teams to define project scope, objectives, and success metrics. • Ensures projects align with organizational goals and deliver measurable impact on healthcare outcomes. • Leverages deep understanding of machine learning algorithms (decision trees, neural networks, graphical models, etc.) to build sophisticated predictive models for diverse healthcare applications. • Utilizes clustering, dimension reduction, and deep generative models to uncover hidden patterns and insights within large, complex healthcare datasets. • Applies rigorous validation techniques to ensure model accuracy, reliability, and fairness. • Oversees the deployment of models into production environments, ensuring seamless integration with existing systems. • Extracts insights from clinical and operational data sources (Epic Clarity, HL7, DICOM, and other enterprise data sources) to inform decision-making and guide project direction. • Translates complex technical findings into compelling narratives that resonate with non-technical stakeholders. • Facilitates data-driven decision-making by effectively communicating the value and impact of AI models. • Mentors and guides junior data scientists, fostering their professional growth and technical expertise. • Promotes a culture of collaboration, knowledge sharing, and continuous learning within the data science team. • Contributes to developing best practices and standards for data science and machine learning within the organization. • Stays abreast of the latest advancements in machine learning and healthcare research to identify opportunities for improvement and innovation. • Experiments with new approaches and technologies to enhance model performance and expand the organization's data science capabilities.