• Technical Strategy & Roadmap: Define and execute the long-term technical vision for applied computer vision systems, identifying high-impact opportunities and guiding architectural decisions. • Complex Problem Solving: Architect and own real-time perception and scene-understanding solutions designed to operate reliably in complex, real-world environments. • Advanced Data Fusion: Lead efforts to combine computer vision with additional sensor inputs to improve robustness, accuracy, and contextual understanding. • Hardware–Software Co-Design: Collaborate with hardware and firmware teams to optimize vision algorithms for deployment on resource-constrained edge devices, ensuring low latency and high reliability across diverse conditions. • End-to-End Ownership: Oversee the full lifecycle of machine learning solutions—from data strategy and model development to deployment, monitoring and iterative improvement in production. • Technical Leadership & Mentorship: Act as a senior technical authority for computer vision and applied ML; mentor scientists and engineers and promote a culture of rigorous, production-oriented development. • Cross-Functional Influence: Partner with Product, Engineering, and other stakeholders to translate high-level requirements into scalable, technically sound solutions. • Strategic Innovation: Stay current with advances in AI and computer vision research, identifying techniques that can be adapted for practical, real-world applications.

• Lead the end-to-end delivery of logistics optimization projects, from problem definition and requirements gathering through model development, validation, deployment, and iteration. • Develop and maintain optimization models using Linear Programming (LP) and Mixed Integer Programming (MIP) to solve real-world logistics, transportation, and network design problems. • Implement optimization solutions using CPLEX, including model formulation, data preparation, solver integration, parameter tuning, and performance optimization. • Write clean, maintainable, production ready Python code for model building, experimentation frameworks, data processing, and service integration. • Collaborate with software engineering teams to integrate optimization models into production applications, ensuring reliability, observability, and maintainability. • Partner with data engineering and analytics teams to access, shape, and validate high-quality datasets using SQL and Snowflake. • Translate complex mathematical and operational concepts into clear insights for non‑technical audiences through effective storytelling and data visualization (e.g., Power BI, Python visualization libraries). • Document model assumptions, constraints, design decisions, and handoff artifacts so engineering teams can operationalize solutions smoothly. • Establish and promote best practices for optimization model development, including versioning, reproducibility, testing patterns, and scalable architecture. • Collaborate cross‑functionally with product, operations, engineering, and business stakeholders to ensure alignment on goals, timelines, and implementation impacts. • Support or lead prototyping of simple web‑based tools (where helpful) to accelerate proof‑of‑concept validation and stakeholder adoption.

• Lead development of study protocols, analysis plans, and study reports to answer research questions of priority to RWE • Lead, design, and manage epidemiological, biomarker and/or data science projects • Lead, plan, design, and conduct analyses for internal and external decision making (e.g., responses to regulatory authorities, rapid analyses of safety queries) • Lead the identification of fit-for-purpose data for the timely execution of the RWE strategy • Constructed cohorts using RWD sources (e.g., claims, EHR) and evaluate key variables, including diagnosis and procedures codes, and plan validation studies as needed • Contribute to the communication of observational research results and methods, including development of pertinent sections of regulatory documents, reports, publications, white papers • Support the effective communication of study/analysis results to support internal and external decisions • Coauthor abstracts and manuscripts for external dissemination of methodologic study results • Contribute to the development of processes and training aimed at increasing the efficiency, quality, and impact of functional activities

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Research Assistant Professor oversees operations of the Stem Cell Isolation and Xenotransplantation Facility and works with research staff and members at ISCRM and the college to develop and implement experiments; primary cell analyses and isolation are the primary scientific objectives of this core unit. The incumbent will be expected to ensure reliable operation and maintenance of core hardware and service delivery to internal (Einstein) and external users (from other institutions). - Oversee daily operation and all aspects of the Core Facility under supervision of a Faculty Scientific Director. - Work closely with the Xenotransplantation branch of the core facility to fulfill research needs of the users (maintain and expand current model/service portfolio based on user need). - Develop flow cytometry/cell sorting protocols. - Design and develop specialized methods and/or techniques to provide protocols in cytometric procedures and assays in collaboration with users. - Operate and maintain existing analysis/sorting equipment and computer systems. - Participate in the selection of new facility equipment and software with advancing technology. - Perform and schedule routine and non-routine maintenance. - Troubleshoot instrument problems and consult with vendor technical staff regarding the best approach for repair. - Design and implement procedures and protocols appropriate for the management of multi-user equipment. - Recruit and train new facility staff. - Train new users and conduct training sessions and/or workshops on basic and advanced techniques. - Develop training material and user manuals. - Operate application software and train users in its use. - Assist users in interpreting and evaluating raw data. - Manage data storage, backup, and retrieval. - Troubleshoot networked computers and network architecture/connections to facilitate data transfer, storage, and retrieval. - Work together with Faculty Scientific Director to establish facility priorities and prepare long-range strategic plans. - Assist principal investigators in technical aspects of the development of research proposals. - Perform various administrative duties, oversee billing to users, and prepare reports related to facility usage charts, progress reports, resource descriptions, and other related tasks as needed. - Provide state-of-the-art advances in technology through workshops and seminars to users and interested researchers. - Network with other facility directors around campus in discussions of facility management and technical support for facility-related projects. - Attend departmental meetings as necessary to facilitate operation and knowledge transfer. - Provide a safe working environment for facility users and monitor safety compliance as per university guidelines. Qualifications - M.Sc. degree in relevant biomedical field required. - Ph.D. with 5+ years of research lab experience that includes at least 3 years of direct flow cytometry experience. - Experience in core facility preferred but not required. - Strong technical background in biological sciences and complex flow cytometry assays is required. - Experience of independent operation of a high-speed cell sorter is required. - Experience of managing staff is required. - Strong communication skills (verbal and written) required. - Must be able to interact with peers and experts in the field to keep abreast of advances in cytometry and related fields. - Interact with diverse users with a wide range of technical expertise and education. Requirements - Minimum Salary Range: USD $130,000.00/Yr. - Maximum Salary Range: USD $133,000.00/Yr.