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Company Description Cecilia is a circular advanced materials company redefining the life cycle of plastic waste. Cecilia is commercializing a modular, microwave system that transforms hard-to-recycle plastics into carbon nanotubes and recycled polymer composites. Cecilia’s mission is to turn waste into value, making plastic waste too valuable to discard. Join Cecilia’s growing team as we advance the scale-up of our circular materials production system. As we prepare for our next phase of growth, we are seeking a Chemical Technician to support lab operations and help drive reliable, safe day-to-day execution in our facilities. Role Description The Chemical Technician will support the operation and maintenance of our pilot-scale reactor system and analytical instruments in Cecilia’s facility. This is a full-time, in-person role based in the Greater Newark, NJ area. The role reports to the Chief Scientist and works closely with the R&D and engineering teams. This is an operations role focused on hands-on end product production: running reactors, maintaining instruments, collecting and interpreting data, and supporting continuous process improvement. The ideal candidate is detail-oriented, reliable, and motivated by the day-to-day work of keeping a technically demanding lab running well. Projects will span heterogeneous catalysis, reaction kinetics, and data analysis, with an emphasis on consistent and safe operation. Responsibilities: Lab Operations & Execution • Safely set up, operate, monitor, and shut down lab-scale thermochemical reactors and supporting systems according to standard operating procedures (SOPs), • Execute experiments and document results accurately and consistently, • Monitor process parameters; identify and respond to abnormal operating conditions, • Collect, label, and store products and feedstocks according to internal protocols, • Ensure sufficient inventory of consumables and feedstocks for continuous lab operation Maintenance & Reliability • Perform routine maintenance and calibration on reactors and analytical instruments, • Identify emerging equipment issues and coordinate repairs, • Maintain a clean, organized, and inspection-ready work environment, • Contribute to the development and improvement of SOPs, checklists, and maintenance routines Data Analysis & Documentation • Conduct data analysis and interpretation using chemical engineering approaches, • Maintain accurate logs of operating conditions, experimental records, and instrument performance, • Work closely with R&D and engineering teams to understand experimental objectives and translate them into day-to-day operating decisions, • Document operational pain points and recommend process improvements Required Qualifications • Bachelor’s degree in Chemical Engineering preferred; Bachelor’s degree in Chemistry will be considered, • Associate’s degree with 2+ years of relevant laboratory work experience will be considered, • Fundamental knowledge of chemical engineering principles, • Ability to follow laboratory rules and standard operating procedures (SOPs), • Demonstrated track record of operating safely, with strong attention to detail and procedural compliance, • Ability to contribute as a member of a team and work independently when needed, • Strong written and verbal communication skills for logging experiments, documenting issues, and collaborating with scientists and engineers, • Comfortable performing hands-on physical work in a lab setting, including standing and walking for extended periods, bending and reaching, and safely lifting and carrying up to 40 pounds, • Willingness to take on relatively undefined challenges and adapt in a fast-moving environment, • Familiarity with Microsoft Office Suite, • Must be currently authorized to work in the United States on a full-time basis; visa sponsorship is not available for this role Preferred Qualifications • Experience with thermochemical reactions, heterogeneous catalysis, or related process chemistry, • Experience operating lab-scale or pilot-scale reactors in a production or R&D environment, • Experience with computer modeling or process simulation, • Prior involvement in developing or improving SOPs, checklists, or experimental protocols, • Experience working in a start-up or other dynamic environment with evolving processes and systems

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: • Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;, • Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;, • Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Vagelos College of Physicians and Surgeons (VP&S) is seeking a new Director of the Center for Radiation Research (CRR). This key leadership role will oversee and drive the development, implementation and management of radiation research initiatives within VP&S, as well as in the Department of Radiation Oncology, where it will be administratively based. The Center will serve as the translational "bench' research hub for the Department and the Director will report to the Department Chair. The Center Director will play an important role in VP&S scientific leadership, participating in the VP&S Scientific Council of Center and Institute Directors, the Herbert Irving Cancer Center leadership team, and in key University programmatic initiatives. The successful candidate will be expected to be a world-class radiation scientist with a history of pioneering research accomplishments, leadership experience and a proven track record in identifying outstanding young researchers and fostering their careers. The Center is located at two campuses - CUIMC and at the Columbia University Nevis Laboratories in Westchester County. The latter houses the CRR's Radiation Research Accelerator Facility (RARAF, ___), the only accelerator facility in the United States dedicated to the pre-clinical study of the biologic effects of ionizing radiation. Major programs include pre-clinical research into heavy-ion charged particle and FLASH radiotherapy; understanding the biological effects of very low doses of radiation including radiation risks associated with CT scans, space radiation and nuclear power/events, and a new research portfolio leveraging far ultraviolet (far-UVC) light as a tool to control the spread of airborne-mediated microbial diseases. Candidates who are leaders in these or other areas of radiation biology, including DNA repair, radiation radiosensitizers and radio-immune modulation, are strongly encouraged to apply. The CRR currently has a total staff of 41, including 10 PhD faculty, 3 of whom are tenured, and has been internationally recognized as the premier radiation research program. Strategic Leadership: Provide strategic direction and leadership for the radiation research program, aligning objectives with the Department and institutional goals and priorities. Research Oversight: Oversee all aspects of radiation research activities including project planning, execution and evaluation in close collaboration with the Department Chair. Research Management: Manage human, financial and physical resources effectively to support the success of radiation research endeavors in collaboration with the Department Administrator and Chair. Collaboration: Foster collaboration and partnerships with internal and external stakeholders including faculty, researchers, clinicians, industry partners and funding agencies. Faculty Support: Provide mentorship and support to faculty members engaged in radiation research, facilitating their professional growth and development. Grant Writing: Assist faculty members in identifying funding opportunities and preparing grant proposals to secure external research funding. Regulatory Compliance: Ensure compliance with all relevant regulatory requirements, ethical standards and institutional policies governing radiation research. Education and Training: Contribute to the education and training of students, residents, fellows and other trainees in radiation research methodologies and practices. Quality Assurance: Implement quality assurance measures to uphold the integrity, accuracy and validity of radiation research findings. Communication: Serve as a spokesperson for the radiation research program, promoting its achievements and impact through publications, presentations and other communication channels. Applicants should have a PhD, MD, MD/PhD or equivalent degree, substantial national and international stature and expertise in managing large-scale research programs. The candidate is expected to provide leadership for the Center for Radiation Research in the Department of Radiation Oncology and articulate a vision for its continued growth, supported with a firm commitment to the recruitment of multiple new faculty members and facilities to match the recruitments. • Distinguished record of scholarly achievements, including a significant publication record in leading scientific journals and a demonstrated ability to secure external research funding., • Demonstrated international leadership in the field of radiation sciences through organization of conferences and serving on funding and award committees., • Demonstrated expertise in radiation sciences and research methodologies., • Proven leadership experience in academic or research settings., • Strong interpersonal, communication and collaboration skills., • Track record of securing research funding and publishing in peer-reviewed journals., • Knowledge of regulatory requirements and ethical considerations in research., • Leadership experience in academic or research settings with a proven track record of fostering collaboration and promoting excellence., • Strong commitment to graduate and/or medical education including a record of effective teaching and mentorship. Experience in mentorship of junior scientists and mid-career scientists will be considered as a plus., • Excellent communication and interpersonal skills with the ability to engage effectively with diverse stakeholders. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

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The Columbia Nano Initiative (CNI) seeks an outstanding candidate to fill one opening for the position of Senior Director of the CNI Labs at the rank of Research Scientist. Reporting to the Scientific Director of the Columbia Nano Initiative (CNI), the Research Scientist will actively participate in multidisciplinary CNI research programs in close collaboration with CNI-affiliated faculty and researchers. The Director of CNI Shared Laboratory Facilities, which include the cleanroom, electron microscopy facilities, the shared materials characterization facilities, and any newly developed facilities as needed will assist principal investigators (PIs) in their research and utilization of shared facilities and equipment, serving as a key strategic partner and subject-matter expert in equipment operation, configuration, capabilities, and maintenance to ensure high-quality research outcomes. The Research Scientist will provide guidance and expertise in various aspects of laboratories operation. Additionally, they will be responsible for the operational and financial management of the laboratories, collaborating closely with the Shared Facilities Committee and the CNI Executive Committee to ensure safe and effective operations, maintain necessary IT systems, and comply with all university and government regulations. The Research Scientist will also oversee modifications to available space as needed for new equipment, working with Columbia Facilities staff and contractors. They will ensure a safe laboratory environment and foster collaboration with Columbia University's Environmental Health & Safety (EH&S) office. Additionally, the Research Scientist will continue to develop and lead external user programs, oversee lab budgets, and facilitate lab operation costs through user fees in collaboration with the CNI finance office. They will also maintain long-term plans for equipment, maintenance, and staffing and contribute to grant applications for new equipment and large center grant proposals. The Research Scientist may also collaborate on research activities within the Columbia Nano Initiative, particularly those requiring specialized expertise in the Shared Laboratory Facilities. She/he may also lead proposal development efforts and serve as PI or Co-PI on proposals as needed. Key Responsibilities Research Collaboration • Actively collaborates on multidisciplinary research programs involving CNI-affiliated faculty and researchers from the Departments of Chemistry, Physics, Applied Physics, Electrical Engineering, Chemical Engineering, and Mechanical Engineering, as well as faculty and researchers at affiliated institutions. She/he should also possess the ability to foster interdisciplinary research, manage internal and external research relationships, and to participate in the mentorship of junior scientists., • Serves as a subject-matter expert in the operation, configuration, capabilities, and maintenance of CNI Shared Laboratory equipment and assists in interpreting experimental results., • Ensures high-quality scientific outcomes for research activities in the Shared Facilities., • Ensures safe operation and full compliance with university and regulatory policies for all CNI facilities., • Trains laboratory users in safe and effective equipment operation., • Serves as a key strategic partner for PIs and researchers in designing and implementing experiments utilizing Shared Laboratory equipment., • Proactively collaborates with faculty to develop proposals for facility development and expansion., • Assists colleagues in preparing grant proposals for new and continuing research programs., • Provides operational leadership for the Shared Laboratory Facilities, ensuring the proper functioning of all equipment through routine maintenance and necessary repairs., • Manages and optimizes space utilization in collaboration with the CNI Director of Finance and Administration., • Develops and maintains laboratory management programs for logging and controlling instrument access while ensuring accurate charge-back and billing information., • Maintains laboratory communications, including website updates., • Ensures the creation and ongoing updates of standard operating procedures (SOPs) for all facilities., • Monitors overall budgets and manages expenses for the Shared Laboratory Facilities., • Oversees charge-back accounts and provides annual and interim reports to CNI leadership., • Negotiates and monitors service contracts for CNI facilities., • Reports directly to the CNI Scientific Director. Qualifications A Ph.D. or its professional equivalent is required. Experience of at least five years of working in a cleanroom lab, and familiarity with materials characterization techniques and electron microscopy are also required. A minimum of three years of people management experience is necessary. For the rank of Research Scientist, the equivalency is with the qualifications and contributions of an Associate Professor Preferred Qualifications Ten or more years of extensive professional experience in laboratory management, including supervising interdisciplinary teams of scientists and engineers. We seek applicants with a strong background and leadership skills. Additional desired qualifications include: • Strong technical experience in conventional cleanroom processes used for electronic and mechanical device fabrication., • Understanding of new and modern laboratory-scale fabrication processes required for state-of-the-art fabrication, including thin film deposition, electron microscopy, electron beam lithography, nanoimprint lithography, and reactive ion etching., • Excellent interpersonal, managerial, and communication skills., • Excellent analytical reasoning and problem-solving skills., • Strong organizational skills., • Ability to work with frequent interruptions and minimal supervision., • Knowledge of safety and hazardous waste protocols., • Ability to exercise mature judgment and initiative., • Understanding of the operations and characteristics of physical plants and facilities. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is looking for a highly motivated Burning Plasma Scientist to join our Physics team, focusing on modeling energetic particle confinement and transport. In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning surrogates to accelerate our design cycles. You will work directly with our optimization team to ensure our magnetic topologies manage fast-ion loss and heat loads effectively.Key Responsibility Areas: • Execute and analyze high-fidelity simulations using particle-following codes to assess alpha particle and neutral beam ion confinement in 3D magnetic geometries, • Investigate Alfvén Eigenmode (AE) stability using kinetic-MHD hybrid codes and assess their impact on energetic particle transport, • Develop reduced-order models and ML surrogates trained on simulation databases to enable real-time prediction of pressure profiles, • Collaborate with the engineering team to iterate on coil designs and divertor configurations to minimize fast-ion losses, • Develop synthetic diagnostics (e.g. Fast-Ion Loss Detectors, Neutron Cameras) to bridge the gap between our models and future experimental campaignsIdeal Experience & Skillsets:, • PhD in Plasma Physics, Computational Physics, or related field (or Master’s / Bachelor’s with equivalent research experience), • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, or MATLAB), • Creative problem solving and proven ability to thrive in collaborative environments such as startups or research groups, • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally, • Passion for advancing the field of fusion energy research, • Familiarity with kinetic, MHD or particle-following codes, • Experience developing Machine Learning surrogates for physical systems, • Familiarity with energetic particle diagnosticsCompany Benefits:, • Salary range $135,000-$210,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview The Research Engineer plays a critical role in advancing our industrial and energy modeling, machine learning, and analysis capabilities, supporting customers in achieving their economic, operational, and sustainability goals. These modeling and analysis capabilities are mission critical and underpin the knowledge base for CVector's AI Agents. They ensure customers are receiving robust, reliable recommendations from our AI Agents that are bound by real equipment and facility constraints. You will report to the CTO and develop and implement models and analytical tools for standardized products and bespoke customer needs. Specifically, you will be developing and deploying CVector's techno-economic analysis (TEA) and linear programming (LP) models to inform and recommend to our customers how to operate their facilities more profitably, with lower energy costs and reduced emissions. You will also develop and work with our library of ML and AI time series algorithms for anomaly detection, forecasting, and predictive equipment failure. This role is ideal for an experienced energy modeler or data scientist with substantial experience in the energy or industrial sectors. We seek someone who thrives in startup environments and enjoys cross-functional work that supports founders, investors, customers, and team members alike. Responsibilities As a Research Engineer, you will collaborate with our team and be responsible for: • Ensuring CVector's modeling and analysis ecosystem supports and enhances our AI Agent experience, • Developing and integrating with market data APIs for energy and commodity prices, carbon intensity, and weather forecasts., • Implementing a host of time series analysis techniques including AI/ML-drive methods for energy forecasting and predictive failure., • Developing and using our algorithm training architecture to ensure quality results for our customers., • Developing and deploying TEA and LP models to optimize equipment and facility operations., • Preparing and delivering TEA and LP model results to customers to inform their development and facility expansion plans., • Collaborating directly with customers to refine and deploy solutions tailored to their project operational needs., • Analyze customer data with a host of statistical methods and tools to distill actionable recommendations for customers. Our current modeling and analysis stack is Python-based and includes modern CI/CD workflows managed through GitHub. A strong candidate will bring many (but not necessarily all) of the following: • 5+ years of experience and/or advanced degrees in industrial or energy analytics and techno-economic analysis or ML and statistics applied in industry, preferably in an early-stage or growth-stage company, • Demonstrated strength in Python, • Working knowledge of energy and commodity markets, • Comfortable managing multiple analytical projects at once, • High attention to detail and ability to prioritize independently in a low-structure, high-trust environment, • Excitement to utilize the latest AI tools to accelerate your work, while maintaining an eye on quality, • Ability to rapidly prototype while acknowledging limitations CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable Why This Role Matters at CVector CVector's TEA models and time series algorithms inform operators at $100+ million industrial facilities where changes in operations can results in millions of dollars of savings. We need the best and brightest team to ensure our models are top of the line and stress tested against corner cases that could lead to poor recommendations. If you enjoy deeply understanding physical systems, advocating for customers, and driving real-world decisions, this role will give you both ownership and impact.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions. Responsibilities • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications., • Conduct rigorous analysis and validation of machine learning algorithms and prototypes., • Explore novel methods for processing and analyzing large, complex medical imaging datasets., • Collaborate with engineering teams to deploy ML algorithms in clinical practice., • Present research findings, insights, and recommendations to internal stakeholders and external collaborators., • Author scientific publications and contribute to patent development., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience., • Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning., • Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results., • Ability to translate complex clinical requirements into machine learning solutions., • Strong critical thinking, problem-solving, and project management skills., • 2+ years of postdoctoral research or industry experience., • Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques., • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Base Salary: $186,000 - $212,000 Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at . The Preclinical Principal Scientist will serve as a key scientific contributor, subject matter expert (SME) and Project Manager in the execution of Cresilon’s Preclinical Research Operations, including but not limited to in-vivo study design (Safety and Efficacy/Functionality evaluations), Preclinical Research Management, Vendor Management, and Preclinical Regulatory Strategy. This will include the development and execution of strategies for preclinical evidence necessary to competitively position a project’s product for domestic and international regulatory and clinical acceptance. This position as a hybrid role, with work off-site at CRO in NY/NJ area, work from home and on-site at Brooklyn NY. Job Responsibilities: The Preclinical Research Scientist will: • Lead, staff, and manage Cresilon’s Preclinical Research activities., • Provide preclinical scientific input and leadership on the evaluation of physical safety and efficacy for technologies and products at all stages of the product life=cycle., • Plan, direct, coordinate, and execute activities related to the design, initiation. and follow-up of studies to support approval of Class I-III medical devices., • Develop, write, and/or review study protocols and repor-s. Act as a technical mentor for the development of study experimental designs, protocols, and reports of junior associates., • Administrate and manage Cresilon's preclinical regulatory strategy and communication., • Work with Contract Research Organizations (CROs) to execute both Biocompatibility / Safety and Efficacy/Functionality research, including negotiating, drafting, and managing research contracts and agreements with pre-clinical trial sites., • Ensure that the company operates within the scope of regulatory compliance including Quality System Regulations (ISO 13485), health and safety, environmental protection regulations, and the core values of Cresilon., • Be a Subject Matter Expert (SME) for the preclinical research department growth strategy. Actively interact with the internal and external scientific community to maintain state-of-the-art knowledge., • Oversee the development of and modifications to preclinical models to address project needs., • Oversee the design and execution of preclinical functionality and safety in-vivo studies per project timelines., • Surveys the literature to identify and compare competitive product performance and safety risks., • Maintain current knowledge in existing regulations, requirements and standards, including but not limited to global regulatory requirements (ISO, FDA, etc) and compliance requirements (GLP, USDA, AAALAC, departmental SOP's, company policies, etc), • Work cross functionally with Regulatory and Quality to assess project risks, product safety and efficacy on NPD projects, including ensuring external facilities meet Cresilon standards for animal use and generating contracts and CRO audits, if necessary., • Manage budgetary requirements for all research projects to support efficacy and safety programs., • Lead the effort to publish surgical research in peer-reviewed journals., • Regularly interface with management to ensure research operations reflect overall corporate vision/strategy., • DVM, PhD or MD in a relevant discipline is preferred. A Bachelor's in a technical or scientific field is required., • Minimum 6+ years’ experience in preclinical medical device research is required, preference given to veterinary surgical or human surgical experience., • 4+ years of people management experience preferred., • Extensive knowledge of surgery, anatomy, toxicology, and pathology is required. Hands-on surgical experience is require., • Experience with planning, directing, and coordinating activities related to studies to support approval of Class I-III medical devices is highly preferred., • Experience in a medical device, pharmaceutical, or related setting with a proven record of success in supporting studies for R&D projects is highly preferred., • Strong knowledge of ISO-10993 Standards, FDA Guidance and Regulations, and Animal Welfare Regulations., • Experience with surgical publication submission strategy is strongly preferred., • Strong communication skills (both written and verbal) is required with the ability to extract key facts from complex information and present concise summaries to management., • Demonstrated experience with large animal in vivo surgical research and CRO vendor management is required., • Previous experience in authoring and reviewing nonclinical regulatory documents as well as interactions with regulatory authorities is strongly preferred., • Excellent problem solving, conflict resolution, and analytical skills is required., • Ability to work effectively both independently and collaboratively in a dynamic team-oriented environment is required., • Prior experience and ability to work well with external CROs and collaborators with professionalism and discretion is required., • Requires strong leadership and organizational skills including attention to detail and multi-tasking skills., • Able to understand and execute to project details but keep overall “big picture” view of projects, priorities, and strategies is required., • Medical Device product development experience, including knowledge of medical device regulations, regulatory/notified body requirements is preferred., • Good Laboratory Practices (GLP) experience preferred and working knowledge of Good Manufacturing Practices (GMP), • Experience in developing and commercializing regulated devices under Design Control (21 CFR 820) requirements, GLP/GMP, and ISO regulations is preferred., • Hands-on research experience with hemostatic devices and/or coagulation chemistry, strongly preferred., • Legal authorization to work in the United States., • This position is located in Brooklyn, NY and may require up to 30% travel (to monitor and execute out-sourced studies) Cresilon is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits • Competitive annual base salary range of $130,000 - $210,000, depending upon job level and qualifications., • Paid Vacation, Sick, & Holidays, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage, • Company Paid Life and Short-Term Disability Coverage, • Work/Life Employee Assistance Program, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%

Job Description (Associate) Director, Clinical Scientist (Remote) Key Responsibilities • Provide scientific and strategic leadership in the planning and execution of clinical trials, including protocol development, study design, and data analysis., • Author and review clinical protocols, ICFs, CSRs and regulatory documents, • Collaborate closely with cross-functional teams, including Clinical Operations, Regulatory Affairs, Biostatistics, and Medical Affairs, to ensure the successful conduct of clinical studies., • Interpret clinical data, prepare study reports, and contribute to regulatory submissions and presentations for internal and external stakeholders., • Support investigator meetings, advisory boards and data monitoring committee meetings, • Stay current with emerging scientific literature, competitive landscape, and regulatory requirements relevant to Immuneering’s oncology therapeutic area., • Support the development of clinical development plans and contribute to the strategic direction of ongoing and future programs., • Work closely with CRO’s and have a can do, proactive biotech mindset. Qualifications & Education · PhD, PharmD, RN, or MD in a relevant scientific discipline (e.g., biology, pharmacology, medicine). · Minimum of 5-8 years of experience in clinical development within the pharmaceutical or biotechnology industry. · Direct Phase 3 oncology clinical trial experience required. · Demonstrate experience authoring and reviewing clinical documents. · Demonstrated strong experience in clinical trial execution and data interpretation. · Strong analytical, organizational, and communication skills. · Deep understanding of oncology clinical development, endpoints and regulatory expectations. Technical / Soft Skills · Excellent cross-functional communication and stakeholder management. · Ability to work collaboratively in a fast-paced, team-oriented environment. · Must be a strong champion of our Values: All in, Data Rules, Care, Humble, Own It (Accountable) Physical Demands/ Working Conditions The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Requires prolonged sitting, some bending, stooping, and stretching. Requires eye-hand coordination and manual dexterity sufficient to operate a keyboard, photocopier, telephone, calculator, and other office equipment. Requires the ability to perform essential job functions with or without reasonable accommodation. No significant lifting is associated with the role. While extensive travel is not anticipated with this role, it is possible to perhaps up to 15% at times. Requires prolonged sitting, some bending, stooping, and stretching. Requires eye-hand coordination and manual dexterity sufficient to operate a keyboard, photocopier, telephone, calculator, and other office equipment. Requires normal range of hearing and eyesight to record, prepare and communicate appropriate reports. No significant lifting is associated with the role. Immuneering is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission. Job Offers: Immuneering uses the Immuneering.com domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam. Note to Recruitment Agencies: We appreciate your interest in finding talent for Immuneering but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Immuneering without a prior written agreement in place will be considered property of Immuneering, and no fee will be paid in the event of a hire. Thank you for your understanding.

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$185,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at Summary CoreWeave is seeking a Sr. Data Scientist to architect and scale the data infrastructure that serves as the backbone of our Integrated Planning and Capacity teams. As an AI hyperscaler, our ability to manage GPU, CPU, and storage assets in real-time is the difference between leading the market and falling behind. Currently, our systems are in a nascent, "bare minimum" stage. You will be responsible for leading the transition to a centralized, production-grade database system. This is a heavy software engineering-focused role where you will build the pipelines and transformations necessary to unify disparate metrics—ranging from power utilization and node health to customer capacity allocation data—into a single, accurate source of truth. Your work will directly enable the dashboards used by operational planners and executives, and provide the high-fidelity data required to develop autonomous, data-based agents for quantitative decision-making. Key Responsibilities • Architect Scalable Pipelines: Design, build, and maintain robust end-to-end data pipelines and transformations that aggregate data from across the organization, including data center operations, power metrics, node provisioning, and finance., • Enable Advanced Analytics: Build and optimize the data structures that power real-time and near-real-time dashboards for operational capacity and demand managers., • Support AI Agent Development: Ensure that data pipelines are architected to support the ongoing development of quantitative AI agents designed to synthesize complex data and inform high-stakes infrastructure decisions., • Cross-Functional Synthesis: Partner with Data Center Operations, Supply Chain, Product, and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health., • Education: Master's or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field., • Experience: 6+ years of professional experience in data engineering or data science, with a heavy emphasis on building production-grade planning systems (ERP, MRP, or similar operations tools)., • Software Engineering Expertise: Expert-level proficiency in Python and SQL is mandatory. Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake/BigQuery) and software development best practices (version control, CI/CD)., • Systems Thinking: Proven track record of taking "weak" or unstructured data environments and scaling them into robust, automated architectures., • Domain Knowledge: Familiarity with AI infrastructure, specifically GPU/CPU utilization metrics and data center operational constraints., • Background: Prior experience in high-complexity environments such as cloud infrastructure, semiconductor manufacturing, or advanced logistics. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionJob Description The New York City Department of Youth and Community Development (DYCD) invests in a network of community-based organizations and programs to alleviate the effects of poverty and to provide opportunities for New Yorkers and communities to flourish. The New York City Department of Youth and Community Development (DYCD) seeks a Project Manager of Finance Operations & Analytics within the Office of the CFO. This role performs highly responsible, complex, and specialized scientific and analytical work, requiring wide latitude for independent judgment and decision-making. Under the general direction of the Senior Project Director, and supporting the CFO and Deputy CFO, the Project Manager will direct and guide major research and analytical activities, develop and evaluate methodologies for financial and operational analysis, and conduct advanced investigations across multiple fiscal and administrative systems. The role leads high-impact projects involving forecasting, compliance, workflow evaluation, systems analysis, and operational performance improvement across the agency. The Project Manager will design, manage, and interpret research studies that analyze fiscal operations, procurement processes, and finance-system performance; evaluate and refine analytical procedures and data collection methods; and prepare scientific and technical reports presenting findings to senior leadership and external oversight entities. Work includes coordinating analytical research across units, ensuring adherence to scientific standards, and providing expert guidance to teams conducting financial, operational, and administrative analysis. Responsibilities include managing cross-functional projects; Developing performance-measurement methodologies; Creating dashboards and early-warning systems; Conducting risk identification and discrepancy investigations; Maintaining rigorous documentation of analytical processes. The Project Manager will also develop standardized procedures, manuals, and quality assurance tools to improve agency-wide operations. The role requires mastery of advanced analytical techniques, strong project leadership, and the ability to synthesize complex system-wide data into clear, actionable recommendations that support agency decision-making, policy development, and compliance obligations. CITY RESEARCH SCIENTIST - 21744 Qualifications 2. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 3. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 4. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. Additional Information The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Job Description Summary: The Histotechnician performs a variety of routine and complex histological procedures to prepare tissue specimens for microscopic examination by a pathologist or scientist. This position requires a higher level of skill and independence, with responsibilities including advanced staining techniques, troubleshooting, and participation in quality control activities. (We are currently hiring only for the Per-Diem position only) Responsibilities: • Processes a wide variety of tissue specimens, including complex cases, ensuring proper fixation, processing, and embedding., • Performs routine and advanced microtomy techniques, including cutting various tissue types and troubleshooting cutting artifacts., • Performs routine Hematoxylin and Eosin (H&E) staining, as well as a range of special stains according to established protocols., • Prepares and maintains laboratory solutions, reagents, and stains, following established formulas and procedures., • Performs and documents routine and preventative maintenance on histology laboratory equipment, including microtomes, processors, and stainers., • Identifies and troubleshoots common technical problems related to tissue processing, embedding, microtomy, and staining, taking appropriate corrective actions., • Participates actively in the laboratory's quality assurance and quality control programs, including monitoring control slides and documenting any deviations., • Assists in the training and orientation of new Histotechnician I staff and histology trainees., • Manages the inventory of histology supplies and reagents, ensuring adequate stock levels and may be responsible for ordering supplies as needed., • Accurately enters and retrieves data from the laboratory information system (LIS) for specimen tracking, test results, and quality control records., • Files and retrieves tissue blocks and slides according to laboratory procedures., • Adheres to all laboratory safety policies and procedures, including the proper handling and disposal of hazardous materials., • May assist pathologists with gross examination and frozen section procedures., • Minimum of 3-5 years of experience working as a histotechnician in a laboratory setting, with demonstrated proficiency in routine and special staining techniques., • Strong knowledge of histology principles, techniques, and laboratory procedures., • Demonstrated ability to troubleshoot technical issues and perform quality control procedures., • Proficiency in operating and maintaining histology laboratory equipment., • Experience with laboratory information systems (LIS)., • Excellent attention to detail, manual dexterity, and organizational skills., • Strong communication and interpersonal skills, with the ability to work effectively as part of a team., • Ability to stand and sit for extended periods., • Excellent fine motor skills and hand-eye coordination for precise specimen handling and equipment operation., • Ability to lift and carry up to 25 pounds occasionally., • Normal or corrected vision, including color vision, to accurately assess tissue samples and staining quality.Benefits 24/7 Access to a Private Gym: Per diem Histotechs have access to a private gym at any time, supporting health and wellness outside of work hours. * Cross-Training Opportunities: Gain experience across different areas of the lab, allowing you to expand your skill set and increase your versatility. * Specialized Experience: Work with unique and complex orders, providing valuable exposure that helps build specialized technical expertise. Powered by JazzHR slk73sGlfo