• Conduct descriptive data analysis using case, survey, and event data to identify and size problems. Collaborate with cross-functional partners to identify potential improvements • Develop and implement key metrics to measure the effectiveness and impact of our products and services • Apply AI/ML techniques in collaboration with cross-functional teams to improve the delivery of products and services • Analyze administrative and public data to estimate the impact of proposed changes. • Create and maintain dashboards and visualizations to communicate key insights to stakeholders • Build and maintain evaluation pipelines to monitor AI system performance and turn results into prompt, model, and design improvements • Clean, combine, and make sense of diverse administrative data. • Investigate the barriers people face in applying for and keeping benefits. • Work with qualitative researchers to generate hypotheses about how to help our users. • Make use of past findings internally, from agencies, and from outside researchers to help strategically guide projects. • Work with program, product, engineering, and design to identify where our analytics and AI capacity will be most impactful. • Break down, estimate, and prioritize tasks with a good architectural/systems perspective • Lead and deliver on medium to large size projects • Create and maintain technical documentation for data science projects and models • Communicate project status, risks, and outcomes to technical and non-technical stakeholders • Mentor other data scientists on the team • Contribute to the development of data science best practices and standards • Other duties as assigned

Role Description - Lead end-to-end medical research projects with top-tier life science companies. - Conduct EMR data exploration and extract relevant clinical features. - Apply LLM-based feature engineering to transform unstructured data into clinical insights. - Support clinical protocol design from a data and feasibility perspective. - Perform statistical analyses and present results to clients (dashboards, publications, presentations). - Become a subject matter expert in our proprietary healthcare data. - Develop cross-client pipelines to support our data infrastructure and product. - Build diverse patient cohorts and datasets to continuously enrich Latica's data catalog. Qualifications - 5+ years of experience as a Data Scientist or in a similar analytical role, with 3+ years in the healthcare industry (required). - Experience in client-facing roles and working with pharmaceutical or life sciences companies (required). - Advanced proficiency in Python and SQL. - Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.). - Experience with cloud infrastructure platforms (AWS/GCP) — preferred. - A collaborative team player who is self-motivated, quick to learn, and possesses excellent analytical, research, and business acumen. Requirements - R, Large Language Models, and data pipelines. Benefits - Compensation will depend on factors such as skills, experience, location, and business needs.

• Design and implement scalable batch and real-time data processing systems across large and complex datasets. • Build and optimize ETL and streaming data pipelines using modern GCP big data technologies. • Support development decisions around model choices, data architecture, data modeling, pipeline orchestration, analytics infrastructure, and production systems. • Develop statistical models and analytics capabilities that support product intelligence and operational insights. • Design and maintain production-grade data workflows using technologies such as Airflow, Dataflow, PubSub, and PySpark. • Contribute across multiple areas of the data ecosystem, including data engineering, monitoring and governance, visualization, and analytics tooling. • Establish monitoring, observability, and governance practices for data quality, pipeline reliability, and production health. • Partner closely with Engineering to operationalize scalable data infrastructure and analytics systems. • Collaborate with Product to shape intelligent, data-driven product capabilities and user experiences. • Act as a thought partner across data engineering, analytics, infrastructure, and applied modeling initiatives. • Help evolve internal tooling and frameworks that improve scalability, reliability, and operational efficiency across the platform.

• Manage the day-to-day construction activities simultaneous on multiple projects to ensure they come in within the schedule and under budget • Lead a team of external construction project managers • Coordinate internal resources in support of Supply Chain management for Owner Furnished equipment and resources • Advocates safety as number one priority on the jobsite and enforces compliance with company and jobsite safety plan and policies and all safety-related regulations • Lead establishing entitlements to support data centers developments including building permits and all other specific local AHJ processes and required approvals for construction. • Identify expedited permit opportunities & work with local jurisdictions to enable needed timelines. Source local expert & develop key relationships to support • Work with construction team project managers on needed permit dates & coordinate with construction teams as appropriate • Work with design and construction teams to provide schedules needed to achieve project milestones. • Create & build relationships that enhance Cologix ability to be an industry leader • Work with the internal and external teams to enhance processes and protocols • Must be a capable, proven team player that both fosters and operates well within internal and external team environments • Strong planning skills along with the ability to lead through influence and to be a proactive partner • Assists in the preparation of construction and development estimates for the project and prepares project budgets and unit cost reports. • Leads the project team in preparing project planning and organizes and conducts pre-award and pre-construction meetings • Participates in value engineering services as appropriate, negotiation and preparation of project scopes of work and contracts. • Reviews plans and specifications and determines their completeness and consistency and plans the successful execution of the construction contract. • Oversees the contractor’s material and equipment procurement, buyout, and submittals. Ensure budgets are maintained and procurement aligns with the construction schedule. • Monitors the project site for cost, safety, quality, and schedule performance with the contractors and monitors project quality, safety, and risk management plans. • Negotiates change orders and manages the resulting cost and budget impact. • Reviews and approves monthly pay requests. • Controls the payment of project design and construction costs based on document review and approval. Coordinates with the accounting for payments and lien releases and leads regular job cost reviews. • Works closely with the commissioning team to ensure coordination of vendors and contractor commissioning teams to achieve turnover to customers. • Coordinates all final close out procedures for the project as delivered by the contractor, including as-built drawings, close out, letter of substantial completion. • Continually tracks project costs, allowances, contingencies within the financial software. • Able to solve problems at a tactical and functional level • Provide Data-driven action plans for executive decision making to manage and effectively present information in a manner to support efficient decision making • Mitigate risk for the project through pre-planning, innovative planning, and partnership