Trabajos data scientist en Pittsburgh, PennsylvaniaCrear alertas

Job Description Mission Summary: The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas. Rigorous behavioral and system performance evaluation is critical to scaling our service and achieving Motional's long-term goals. We are seeking a Senior Data Scientist to lead initiatives that improve evaluation and testing methodologies, measure the quality and trustworthiness of our evaluation portfolio, and partner with engineering teams to monitor and strengthen the health of the evaluation ecosystem. You will help ensure Motional's performance evaluation is efficient, scientifically rigorous, and aligned with our growth priorities. In this role, you will lead development of evaluation methodologies and metrics that assess the quality and business relevance of solutions spanning on-road and off-board data. You will influence the evaluation signals software engineers rely on to validate that changes to the autonomy stack deliver intended improvements, conduct deep-dive analyses to understand bottlenecks in current methodologies, and prototype improvements in metrics, sampling strategy, and statistical inference. You will develop deep expertise in how evaluation signals inform launch and release decisions, weigh trade-offs across the evaluation portfolio, and provide actionable insights for designing launch criteria. If you are a rigorous, collaborative data scientist with a passion for improving how autonomous systems are measured and validated at scale, we encourage you to apply. What You'll Be Doing: • Lead the development of evaluation frameworks for the autonomous system, connecting technical problems to rigorous, data-driven approaches for measuring and validating performance., • Collaborate closely with Functional Safety and Systems Engineering teams to ensure evaluation metrics map effectively to automotive safety standards (e.g., SOTIF, ISO 21448) and launch readiness decisions., • Ensure evaluation metrics are reliable enough to inform safety cases and launch readiness decisions., • Monitor the reliability of evaluation metrics and incoming performance data over time, including detecting drift, inconsistencies, and degradation in metric definitions, to ensure the evaluation ecosystem remains accurate and trustworthy., • Drive our approach to performance analysis using data-backed statistical methods for simulation and on-road data., • Develop new statistical analysis methods to analyze AV performance data and lead by example in applying them to real problems., • Partner with triage operators and simulation engineers to turn raw disengagements and identified edge cases into procedural or generative scenarios, feeding them back into the simulation catalog to strengthen test coverage., • Use fleet and evaluation data to identify edge cases in an automated manner and coverage gaps, and partner with engineering to feed novel scenarios back into the simulation catalog and strengthen test coverage., • Build confidence in the evaluation framework through data-driven insights and clear communication of findings to technical leaders and stakeholders., • Establish correlation between on-road and simulation data to improve how we interpret and act on evaluation results., • Make sense of large datasets to drive insights, solve ambiguous performance questions, and communicate results effectively across teams and upward to leadership., • Establish a self-service model for developers to understand the impact of their changes., • Develop new metrics, interpret trends, and investigate anomalies in simulation and on-road data., • Collaborate with developers to drive action based on these results., • Serve as an advisor and influence collaborators across multiple teams, promote data-aware decision making, and establish best practices around the use of data., • Mentor and collaborate with fellow engineers and foster a positive, collaborative work environment., • Introduce the use of ML methods for performance evaluation where they add rigor and scale. What You Bring: • 5+ years of industry experience solving complex problems with large datasets, with a track record of framing ambiguous questions into rigorous, data-driven analyses., • Bachelor's or higher degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or a related quantitative field. Master's or PhD preferred., • Strong problem-solving skills: ability to break down complex performance and evaluation challenges, think logically, and remove bias from how problems are defined and assessed., • Strong Python and SQL skills, with demonstrated experience using data analysis libraries to work with large, complex datasets., • Experience applying advanced statistical and ML methods to drive insights from large and complex data sets., • Demonstrated experience with statistical analysis, hypothesis testing, causal analysis and data analysis., • Demonstrated ability to work independently with minimal guidance and drive projects from problem definition through to actionable results., • Proven communication and interpersonal skills, with the ability to explain technical findings clearly to engineering partners and leadership., • Eager to learn new statistical and ML techniques and demonstrated willingness to teach Bonus Points: • Experience with adversarial scenario generation and closed-loop simulation environments., • Experience in autonomous driving or robotics, specifically evaluating sub-systems like Perception, Prediction, or Motion Planning., • Familiarity with data pipelines and distributed compute (e.g., AWS) to seamlessly collaborate with our Data Engineering and MLOps partners., • Expertise in Machine Learning and Deep Learning., • Expertise in modern sequence modeling (e.g., Transformers applied to time-series or trajectory data) and probabilistic ML / uncertainty quantification for distinguishing rare-but-safe behavior from out-of-distribution failures., • Familiarity with automotive safety standards like ISO 26262 or ISO 21448 (SOTIF). We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$149,000—$198,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai Waabi’s autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments. This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training. You will… • Conduct fundamental and applied research in generative and predictive world-modeling, • Video generation and prediction., • Latent diffusion / autoregressive / flow-matching models., • Multimodal foundation models for driving scenes., • LLM / VLM / VLA methods for scene understanding, reasoning, and control., • Generative scenario modeling and controllable simulation., • Model distillation. • Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines., • Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH)., • Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation., • Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics. Qualifications: • Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field.., • Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training., • Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications, • Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects. Bonus: • Proven ability to translate research into production-quality code and measurable product impact., • Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy. The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Infection Preventionist Squirrel Hill is looking for a part time Infection Preventionist to help develop, implement, and maintain a facility-wide infection prevention and control program. Infection Prevention training provided. Minimum requirements include ONE of the following: A professionally-trained nurse that has earned a certificate/diploma or degree in nursing; A professionally-trained medical technologist (or clinical laboratory scientist) that has earned at least an associate’s degree in medical technology or clinical laboratory science; A professionally-trained microbiologist that has earned at least a bachelor’s degree in microbiology; A professionally-trained epidemiologist that has earned at least a bachelor’s degree in epidemiology; Other related fields of training such as physician, pharmacist or physician’s assistant. Must also meet state requirements for relevant licensures or certifications and have no disciplinary action in effect against professional license. Completed specialized training in infection prevention and control through accredited continuing education. Benefits include: PTO Panda Perks Employee Discount Program On-Demand Pay for hourly employees AFLAC Products Individual phone plan with unlimited text, data and Smartphone. (Agreement and terms apply) Squirrel Hill is an Equal Opportunity Employer

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will...- Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving.- Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale.- Architect and build the engineering foundations of our long-term mapping infrastructure.- Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data.- Design and develop comprehensive metrics, observability, and anomaly detection across various systems.- Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs.- Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications:- BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience.- Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures.- Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust.- Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept).- Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have:- A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates. - Prior experience with autonomous vehicles, HD mapping, or robotics.- Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS.- Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems.- Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka).- Open-minded and collaborative team player with strong willingness to help others.The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai Waabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds. This role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World’s ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale. You will… • Conduct fundamental and applied research in neural reconstruction, including:, • 3DGS / NeRF, • Dynamic scene reconstruction, • Feed-forward reconstruction, • Multi-sensor scene representation learning, • Build scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure., • Collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines., • Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH)., • Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation., • Stay current with emerging advances in neural rendering, 3D representation learning, differentiable rendering, and scalable reconstruction systems. Qualifications: • Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field.., • Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training., • Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications, • Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects. Bonus: • Proven ability to translate research into production-quality code and measurable product impact., • Demonstrated first-author publications in top-tier venues on topics such as:, • 3DGS / NeRF / neural rendering, • 3D / 4D reconstruction, • Generalizable reconstruction, • Geometry-aware or multi-sensor representation learning, • Experience working with camera, LiDAR, maps, and large-scale driving datasets., • Strong background in graphics, geometry, rendering systems, or simulation. The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel therapeutics that is seeking a highly motivated Data Scientist to provide advanced analytical and computational support for complex research and data-driven initiatives. This role focuses on developing data analysis pipelines, statistical models, and machine learning approaches to support the integration, interpretation, and visualization of diverse datasets. The position will contribute to building scalable, reproducible data frameworks that enable insights, predictive modeling, and informed decision-making. Responsibilities: • Design and implement scalable data analysis pipelines for structured and unstructured datasets, • Develop and apply statistical models to analyze trends, patterns, and key outcomes, • Build and deploy machine learning models for predictive analytics and pattern recognition, • Perform integrative analysis across multiple data sources and modalities, • Collaborate with stakeholders to support study design, data strategy, and analytical approaches, • Establish and maintain reproducible workflows, including data preprocessing, quality control, and version control, • Develop data organization standards and reporting frameworks, • Generate clear data visualizations, dashboards, and analytical summaries, • Contribute to technical documentation, reports, and presentations, • Support data infrastructure development for efficient storage, access, and processing, • Partner with cross-functional teams to align data solutions with project goals Requirements: • Master’s degree (Ph.D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field, • 3+ years of experience in data analysis, statistical modeling, or computational work, • Strong expertise in statistical analysis and data interpretation, • Proficiency in programming languages such as Python or R, • Experience working with large, complex datasets, • Experience building reproducible data workflows and pipelines, • Strong analytical, problem-solving, and communication skills, • Ability to work both independently and collaboratively Preferred Qualifications • Ph.D. in a quantitative or computational discipline, • Experience with machine learning or advanced modeling techniques, • Experience integrating data from multiple sources or systems, • Familiarity with data visualization tools and techniques, • Experience with data infrastructure, cloud platforms, or big data tools, • Exposure to analytical work in research or technical environments, • Experience contributing to technical reports, publications, or presentations #M3 #LI-KM2 Ref: #558-Scientific

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road. You will...- Own and pursue a research agenda to develop realistic and controllable simulation agents.- Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.- Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.- Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications:- Masters/PhD in machine learning, computer science, engineering, or a related field.- Strong background in imitation learning and/or reinforcement learning.- Publications in top-tier conferences or journals related to machine learning or robotics.- Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax. Bonus:- Experience in self-driving, traffic simulation, or a related field.- Proven ability to take research from prototype to production systems.- Strong software engineering skills, including experience with large-scale training or simulation. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany DescriptionAir is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.Job DescriptionWe are seeking an inquisitive data scientist to join our team and work with our various datasets to find connections, knowledge, and potential issues in order to help our government clients make more informed decisions. Your role on the Data Science team will be primarily focused on our large datasets, and you will design and implement scalable statistical systems based on your analysis. You will have the opportunity to expand and grow data-driven research across Air, and lead new areas to apply advanced analytics to drive business results. As part of our team, you must be a data nerd with a strong understanding of the various fundamentals of data science and analysis and know how to bring data to life.In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. We need a creative, out-of-the-box thinker who shares our passion and obsession with quality. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 25% travel.Scope of Responsibilities • Design experiments, test hypotheses, and build models for advanced data analysis and complex algorithms, • Apply advanced statistical and predictive modeling techniques to build, maintain, and improve multiple real-time decision systems, • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of data industry best practices, • Model and frame business scenarios that are meaningful and which impact critical processes and decisions; transform, standardize, and integrate datasets for client use cases, • Convert custom, complex and manual client data analysis tasks into repeatable, configurable processes for consistent and scalable use within the Air SaaS platform, • Optimize processes for maximum speed, performance, and accuracy; craft clean, testable, and maintainable code, • Partner with internal Air business analysts and external client teams to seek out the best solutions regarding data-driven problem-solving, • Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineersQualifications, • U.S. Citizenship is requiredRequired Skills:, • Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field; Master's or PhD preferred, • Minimum 3 years of hands-on data science experience, • Minimum 3 years of experience deriving key insights and KPIs for external and internal customers, • Regular development experience in Python, • Prior hands-on experience working with data-driven analytics, • Proven ability to develop solutions to loosely defined business problems by leveraging pattern detection over large datasets, • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms, • Experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks), • Ability to work independently with little supervision, • Strong communication and interpersonal skills, • A burning desire to work in a challenging fast-paced environmentDesired Skills:, • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship, • Experience in or exposure to the nuances of a startup or other entrepreneurial environment, • Experience working on agile/scrum teams, • Experience building datasets from common database tools using flavors of SQL, • Expertise with automation and streaming data, • Experience with major NLP frameworks (spaCy, fasttext, BERT)Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS, • Familiarity with Git source control management, • Experience working in a product organization, • Experience analyzing financial, supply chain/logistics, or intellectual property dataWe firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability. We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping the methodologies underlying our evaluation ecosystem. This is a senior technical role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will help co-design and build the rigorous frameworks that validate the Waabi Driver across Waabi World (Simulation), Track, and Public Road testing. You will...- Design scalable production frameworks for autonomy evaluation. You will apply statistically rigorous methodologies to challenges such as sampling evaluation sets to ensure comprehensive Operational Design Domain (ODD) coverage.- Design and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the evaluation infrastructure itself, ensuring our testing ecosystem remains a highly trusted source of truth.- Directly prototype complex deep-dive analyses, write production-quality evaluation code, and build the sophisticated tools and dashboards that synthesize our progress for technical and executive leadership.- Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system.- Develop advanced analytical models to help correlate closed-loop simulation performance with real-world driving outcomes, quantifying the fidelity and predictive power of our evaluation metrics.- Serve as a subject matter expert and collaborative partner, elevating the analytical bar of the team through code reviews, methodological guidance, and helping to define best practices for end-to-end data science workflows. Qualifications:- Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects.- MS/PhD or equivalent experience in a highly quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data analysis and prototyping- Expertise in statistical methods, including hypothesis testing, A/B testing on complex systems, sampling methodologies, and statistical modeling.- Experience working with internal cross-functional partners/stakeholders- Open-minded and collaborative team player with willingness to help others- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.Bonus/nice to have:- Experience in the Autonomous Vehicle or Robotics industry- Familiarity with Systems Verification and Validation- Experience with large scale databases and analytics - Experience with workflow automation/orchestration frameworksThe US yearly salary range for this role is: $146,000 - $280,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Full Stack Application Developer II Summary The Full Stack Application Developer II is a highly skilled computer programmer who is comfortable with both front and back-end programming. The Developer is responsible for developing and designing front-end web architecture, ensuring responsiveness of applications, working along with a team of other software developers, among other duties. The Full Stack Application Developer II will build advanced automation and components applications that change the way our clients do business by empowering them to make better decisions. Members of our Application Developer team are passionate about developing software with applied modern technologies and work with clients to explore, specify, and communicate high-value and commission software solutions. As a Full Stack Application Developer II, you will collaborate with the SMS Electric and Automation team, Data Engineers, Data Scientist, UX Designers, and industry-specific experts from our client companies to build a deep understanding of our clients’ business context and then develop, test, and deploy software solutions. As we grow, you will also develop reusable IP to help us move faster, dive deeper, and work more efficiently by generalizing the models, methodologies, and supporting infrastructure that you build. You will develop and execute application software solutions for digital products for rolling mills, metallurgy and process line equipment. Who we are At SMS group, our people are our greatest asset. We offer an entrepreneurial environment that promotes a culture of innovation, growth, and inclusion. We offer company events, activities, and opportunities to participate in charitable initiatives that benefit the communities where we are located. www.sms-group.us What you’ll do • Develop robust, enterprise-class web applications, • Work with our global colleagues across multiple product lines., • Design and develop enterprise mid-tier components of web driven n-tier application framework with technologies such as C#, React, TypeScript, Kubernetes, Azure DevOps, • Writing and tuning S0QL queries, • Design data models and web APIs, • Provide operational user support, • Partner closely with front-end and database engineers to ensure features are developed holistically, • Comply to coding standards for performance, ease of maintenance and scalability and application security, • Follow agile software development methodology and team architecture standards, • Mentor team members and collaborate on design, • Interface with partners and customers for integration, deployment, and troubleshooting., • Maintain and support existing systems, debugging, identifying and correcting application defects., • Develop and improve continuous integration and software deployment processes, • On-site commissioning and training of the application and software solutions, • Service of existing systems as required What you’ll need • Bachelor’s Degree or advanced degree in a relevant field (Computer Science, Electrical Engineering, or other Computational Science) is required, • 3 years’ experience in OOP programming, • Desired programming technology experience includes: C#, JavaScript, React, • Experience in Reactive Programming is a plus, • Experience in relational database design and optimization (MS SQL Server), • Experience in CI/CD environment (i.e. Docker, Kubernetes) and scripting languages (Bash, PowerShell) a bonus, • Experience with Agile Scrum software development process, • Excellent communication skills and ability to articulate technical information in a clear and concise manner, • Limited business travel to customers and vendor workshops will be required, • Demonstrated ability to iteratively conceptualize, design and build Software application solutions, • Experience with Electric and Automation is a plus, • Experience manipulating and preparing large, heterogeneous data sets (“Big Data”) to support advanced analytics is necessary, • Excellent oral and written communication skills as well as excellent computer skills What we offer Competitive compensation, medical/dental/vision coverage, paid vacation, paid holiday time, 401k with a company match, training, a tuition reimbursement program and more! What we do SMS group is the leading partner in the world of metals. We are an original equipment supplier offering comprehensive maintenance and spare part services for metals production, continuous casting and rolling (flat and long products), tubes, welded pipes, forging, non-ferrous technology, and heat treatment plants - all from a single source. SMS group Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, religion, national origin, age, sexual orientation, disability, veteran status, gender identity or other categories protected by law. Employment is contingent upon successful completion of a drug screen and physical capacity profile test. #LI-Onsite

Job Description Data Scientist- Process Modeling & Machine Learning Summary We are seeking a Data Scientist who combines strong machine learning expertise with a genuine understanding of the processes behind the data. In this role, you will collaborate closely with process engineers and domain experts to understand how our machinery and production processes behave and apply that knowledge to develop models. The central focus of the position is enhancing our existing process models with data-driven techniques and machine learning. By integrating domain knowledge with advanced modeling methods, you will build solutions that perform robustly in production and earn the confidence of the engineers, operators, and customers who depend on them. Who we are At SMS group, our people are our greatest asset. We offer an entrepreneurial environment that promotes a culture of innovation, growth, and inclusion. We offer company events, activities, and opportunities to participate in charitable initiatives that benefit the communities where we are located. www.sms-group.us What you’ll do Process Understanding & Domain Collaboration • Partner closely with process engineers, metallurgists, and domain experts to develop a deep, working understanding of the underlying processes and the data they generate., • Translate process know-how into model structure — constraints, features, and, • relationships — rather than treating the process as a black box., • Spend time where the data comes from: participate in site visits to connect raw signals to real physical behavior. Hybrid & Process-Informed Modeling • Enhance existing process models with data-driven techniques, replacing weak assumptions or unmodeled effects with learned components while preserving the physics that already works., • Design and implement hybrid models that combine domain/first-principles sub-models with machine learning (gray-box, physics-informed, and residual-modeling approaches)., • Develop virtual/soft sensors to estimate quantities that are hard or expensive to measure directly. End-to-End Data Science Delivery • Own data science problems end to end: scoping, data analysis (time-series and relational), feature engineering, modeling, validation, and deployment into production., • Serve as the algorithmic point of contact for your solutions, choosing the right tool for the problem — robust feature-based methods (e.g., scikit-learn) as well as deep learning (e.g., TensorFlow/Keras) where it adds value., • Build engineering prototypes and turn promising experiments into reliable, maintainable production solutions. Production, Monitoring & Maintenance • Monitor model performance on live data, diagnose drift, and retrain or recalibrate as conditions change., • Continuously optimize and maintain deployed solutions to improve accuracy, robustness, and runtime performance. Collaboration & Adoption • Work with cross-functional teams (product, engineering, project management) to align data science work with product roadmaps and project goals., • Engage with customers to gather feedback, refine solutions, and ensure that data-driven approaches are accepted and adopted by the people who use them. What you’ll need Required • Master’s degree in data science, Machine Learning, Statistics, Applied Mathematics, a quantitative engineering discipline (e.g., process modeling, mechanical, control), or a related field - or 2+ years of relevant experience., • Proven experience taking AI/ML solutions into real production environments (not just notebooks and prototypes)., • Demonstrated ability to understand a problem domain and incorporate that understanding into models - comfort working alongside engineers and domain experts and learning the underlying process., • Understanding of software development practices: Python, SQL, Git, code review, and familiarity with container technologies., • Strong communication skills for working with other departments, customers, and stakeholders, and the ability to explain technical choices to non-specialists., • Ability to plan over longer horizons and coordinate work packages effectively., • Willingness to work on-site at the office and to travel to customer sites. Preferred • Hands-on experience with hybrid / gray-box / physics-informed modeling, or with enhancing first-principles or simulation models using data-driven methods., • Experience building virtual/soft sensors, digital twins, or model-based monitoring for industrial or physical processes., • Proficiency with deep learning methods and frameworks., • Background in or exposure to an industrial / manufacturing / process domain (steel, metals, chemical, energy, or similar)., • Experience researching and benchmarking existing solutions and algorithms before building from scratch. Benefits and Opportunities • Open and Collaborative Culture: Work in a flat hierarchy where honest feedback and direct communication are valued. Join an international team and participate in bi-weekly company-wide open Fridays to discuss new tools, technologies, and approaches., • Professional Development: Contribute to scientific papers, collaborate with renowned research institutes on long-term projects, and access company-supported learning opportunities., • Real-World Impact: Have the opportunity to visit customer sites and witness the impact of your work on large machinery and steel production processes., • Continuous Learning: Engage in everyday learning opportunities, regular data science meetings, and paper discussions to stay updated on projects and scientific developments in data science and metallurgy., • Contributing to Industry Standards: Play an integral role in setting digitalization standards for the metals industry. What we offer • Competitive compensation, medical/dental/vision coverage, paid vacation, paid holiday time, 401k with a company match, training, a tuition reimbursement program and more! What we do SMS group is the leading partner in the world of metals. We are an original equipment supplier offering comprehensive maintenance and spare part services for metals production, continuous casting and rolling (flat and long products), tubes, welded pipes, forging, non-ferrous technology, and heat treatment plants - all from a single source. SMS group Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, religion, national origin, age, sexual orientation, disability, veteran status, gender identity or other categories protected by law. Employment is contingent upon successful completion of a drug screen and physical capacity profile test.

Job DescriptionAbout Krystal Bio: At Krystal Biotech, we bring together the brightest and most eager minds to relentlessly pursue the discovery, development, manufacturing, and commercialization of genetic medicines to treat diseases with high unmet medical needs. Founded in 2016, Krystal is distinguished in three powerful ways: science and technology using our patented gene therapy platform, innovative manufacturing supported by our commercial scale facilities, and a unique commercialization model that focuses on the patient’s end-to-end experience. Krystal received U.S. FDA approval for the first and only redosable gene therapy treatment, VYJUVEK®, for the treatment of Dystrophic Epidermolysis Bullosa (DEB). Krystal continues to leverage our proprietary platform to rapidly advance a robust pipeline of investigational genetic medicines in respiratory, oncology, dermatology, and ophthalmology. Krystal is headquartered in Pittsburgh, PA, which is home to our two state-of-the-art CGMP manufacturing facilities with teams around the world and satellite offices in Switzerland, Germany, and Japan. We are a company built and run by people who care, are fearless in the face of a challenge, love the work they do, and practice the highest level of scientific integrity. As we grow, we are seeking team members that embody these values. Job Description Summary: Krystal Biotech, Inc is seeking a highly motivated Clinical Scientist to be responsible for bringing together clinical, scientific, and technical disciplines to ensure high quality protocol development, study execution and data interpretation. They will be responsible for clinical science deliverables from Krystal’s clinical trials. The Clinical Scientist is a key member of the team and partners closely with other clinical team members, applying technical and scientific excellence to support the development and execution of clinical trials to meet the needs of internal and external customers. Clinical Scientist responsibilities impact key elements of the study lifecycle including protocol development, safety monitoring, data quality review, patient narratives, and preparation of Clinical Study Reports. Primary Responsibilities: • Provides scientific expertise to inform clinical study design and analysis plans, • Drives protocol development, content, and quality review, • Ensures study plans and related documentation are accurate and complete, • Partners with data management to develop case report forms and data review plans, • Reviews patient level and cumulative data per the data review plan and coordinates with others for study level review, • Reviews and adjudicates protocol deviations, • Answers specific site protocol questions as needed and may provide issue resolution if medically qualified, • Participates in protocol training for Site Initiation Visits and Investigator Meetings, including training of study vendors and CRO staff, • Identifies scientific quality issues to discuss with investigators and study sites so that corrective actions may be instituted, • Assists in the preparation of clinical content for regulatory submissions/documents, • Support and contribute to requests for information from health authorities, • Assists Clinical Operations in assuring adherence to Good Clinical Practice, investigator integrity, and compliance with all study procedures, • Participates in interpretation and presentation of study results, including authoring of Clinical Study Reports, • Support the preparation, review, and submission of clinical publications, • Other duties as assignedExperience and Skills Desired:, • Advanced scientific degree required; preferably a PhD in science or health-related field, • 3+ years of drug development experience; or equivalent clinical research experience at CRO or academic institution, • Prior project team leadership experience preferred, • Must be able to travel domestically up to once a month and internationally as needed, • Ability to work onsite in Pittsburgh is highly preferred. Non-local candidates with direct industry experience and doctorate-level degree may be considered., • Proficient at clinical data review including query generation and management, • Strong understanding of Good Clinical Practices, • Ophthalmology experience a plus, but not required, • Ability to work independently, • Strong knowledge of clinical research process, including working knowledge of all functional areas of clinical trials and medical terminology, • Experience in monitoring and/or coordinating clinical trials required, • Excellent written and verbal communication skills to express complex ideas to study personnel at research and clinical institutions, • Ability to interact with all levels of staff to coordinate/execute study activities, • Ability to handle several priorities within multiple, complex trials Krystal Biotech, Inc. is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Krystal Biotech, Inc. does not accept unsolicited headhunter and agency resumes. Krystal Biotech, Inc. will not pay fees to any third-party agency or company that does not have a signed agreement with Krystal Biotech, Inc. Powered by JazzHR iQTlsOQcA9

Job DescriptionSalary: 110000-120000 Data Science at DHS At Allegheny County Department of Human Services (DHS), our mission is to improve the welfare of the Countys most vulnerable residents. We operate, influence, and fund essential services worth over $1 billion that more than 200,000 residents depend on each year, including treatment for mental health and addiction, homeless housing, and child and older adult protective services. Over the past 20 years, we have built a national reputation for being on the cutting edge of state and local governments using analytics and technology to deliver more effective and efficient public services. While we know much more about the use of analytics and software than when we first started, we still have much to learn. Above all, we are convinced that there remain significant opportunities for data and technology to improve the lives of our clients, and for DHS to extend its leadership role in inspiring governments to make similar investments. Data Scientist Were looking for data scientist with a mix of experience or interest in machine learning (predictive modeling) or economics (applied microeconomics and causal inference) to come join our data science team. The Data Scientist will work to construct software for leveraging nationally recognized, integrated human services data and partner with world-class academics to help drive research that improves outcomes for our most vulnerable residents. Our bet is that great talent, even in time-limited commitments, can result in a step function improvement in the quality of work in local government. The data science team owns DHSs measurement problems and predictive models, with a team charter of: (1) creating feedback loops on our performance by learning about the efficacy of programs and interventions and informing DHSs funding commitments; (2) augmenting human judgement to improve operations and optimize constrained resources, such as case worker bandwidth; and (3) developing high quality reusable software that allows us to deliver inference at scale. The data scientists will collaborate closely with our 40-person Analytics team, Technology team, program managers, and senior leadership to help identify what works and why, iterate and experiment with new approaches to service delivery, improve human decision making, build better software, and convert analytics into automated, extensible products. Strong candidates for the role will be clear, organized thinkers about complicated empirical questions, have a bias toward simplicity over methodological complexity, and possess a sound grasp of the fundamentals in their field. With our nationally recognized integrated data and talented teammates to support empirical work, ideal candidates will be intellectually curious and fearless about tackling difficult, unsolved problems for the department. We are looking for someone who: • Has a core competency in python and abstract, hierarchical design as well as some experience with statistical and machine learning modeling., • Has a graduate degree or significant experience in computer science or related field., • Has a track record of developing high-quality, well-structured, and maintainable software applications, • Experience with applied research and/or industry experience in building machine learning or causal models to answer real-world problems., • Balances speed of delivery with upholding high standards on quality., • Has a desire to develop, test, and QC software to facilitate end-to-end applied research., • Maintains a flexible approach to problem solving, prioritizing impact over technical complexity., • Has knowledge of a statistical programming language such as Python, R, or Stata and familiarity with a programming language for querying structured data. Application • Resume and/or LinkedIn profile If youre concerned that you dont have all of the parts of a successful application, we still highly encourage you to apply. Data science is always a healthy mix of modeling and engineering, and we do not expect every candidate to be fully qualified across all subfields. If hired for a position, candidates would work for Allegheny County, Department of Human Services and be employed byCAI. DHS strives to be the kind of place where a diverse mix of talented people want to come to grow and do their best work. -From the organizations statement on Equity and Inclusion AN EQUAL OPPORTUNITY EMPLOYER - M/F/V/D

Job DescriptionDescription: Introduction RETTEW is seeking an Environmental Scientist 2 to join our Natural Sciences Team within the Environmental and Geotechnology Practice. This role focuses on wetland delineation, permitting, and field investigations across the Tri-State region. If you enjoy hands-on fieldwork, technical writing, and collaborating with multidisciplinary teams, this position offers meaningful, diverse project experience. About RETTEW RETTEW is a 100% employee-owned engineering consulting firm providing multidisciplinary services across transportation, facilities and construction, environmental and geotechnology, energy, and land development. We are committed to technical excellence, strong client relationships, and developing our employees through hands-on project experience. Our employee-owners take pride in delivering high-quality solutions that strengthen the communities we serve. Work Environment Hybrid, structured schedule with flexibility to support work-life balance. Locations: Pittsburgh, PA; Morgantown, WV; or Akron-Canton, OH Safety & Compliance Requirements This position is designated as safety-sensitive and requires successful completion of all pre-employment screenings as a condition of employment. Responsibilities include operating company-owned vehicles and performing field-based work in active construction and utility environments. Continued compliance with RETTEW’s safety policies is required throughout employment. Position Summary The Environmental Scientist 2 supports wetland delineations, environmental investigations, and regulatory permitting efforts across Pennsylvania, Ohio, and West Virginia. This role partners closely with Team Leads and Project Managers to deliver high-quality technical documentation and field data that support responsible development and environmental stewardship. Responsibilities / Day-to-Day • Conduct stream and wetland delineations using the 1987 USACE Wetland Delineation Manual and applicable regional supplements, • Perform environmental field investigations and data collection, • Prepare detailed wetland delineation reports and technical documentation, • Assist with preparation of federal, state, and local environmental permit applications, including Clean Water Act Section 404 and 401 permits, • Coordinate with internal project teams to support multidisciplinary project delivery, • Communicate with clients and regulatory agencies as needed, • Support additional environmental tasks as assigned Qualifications Required • Bachelor’s degree in environmental science, ecology, biology, botany, or related field, • Minimum three years of wetland delineation experience using the 1987 USACE Wetland Delineation Manual and the Eastern Mountains and Piedmont, Northcentral Northeast, and Midwest Regional Supplements, • Ability to prepare clear, detailed delineation reports and technical documents, • Experience collecting field data using handheld GPS units, • Strong technical writing and communication skills, • Proficiency in Microsoft Office, • Ability to work outdoors in rugged terrain in all seasons, • Willingness to travel periodically, including overnight travel Preferred • Clean Water Act Section 404 and 401 permitting experience in Ohio and West Virginia, • Threatened and endangered species field survey experience What We Offer • Competitive salary range, based on experience, • Employee Stock Ownership Plan, ESOP, • Comprehensive benefits package including medical, dental, and vision, • 401(k) with company match, • Paid time off and paid holidays, • Hybrid work model with flexibility, • Opportunities for professional growth and expanded environmental expertise Equal Opportunity & Accommodations RETTEW is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at jperalta@rettew.com to request assistance. #LI-Hybrid Requirements: Requirements listed above

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability. We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization. You will... • Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing., • Develop and maintain sophisticated, cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems, tracking progress toward critical company milestones., • Partner with Data Platform and Evaluation teams to shape the evolution of eval tooling and pipelines, ensuring our infrastructure remains scalable, automated, and capable of validating complex system requirements across all testing modalities., • Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system KPIs., • Proactively monitor and investigate anomalies in metrics to ensure stakeholders are making decisions based on reliable, high-fidelity data. Qualifications • Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics)., • BS/MS in a quantitative field such as Computer Science, Engineering, Statistics, Physics, or similar., • Strong command of SQL, and familiarity with Python for data manipulation and prototyping., • Experience building clear, automated dashboards using modern BI tools or custom frameworks., • Experience working with internal cross-functional partners/stakeholders, • Open-minded and collaborative team player with willingness to help others, • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have: • Experience in the Autonomous Vehicle or Robotics industry., • Experience with large scale databases and analytics, • Practical understanding of statistical concepts (e.g., hypothesis testing, significance) as applied to real-world performance measurement The US yearly salary range for this role is: $128,000 - $184,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionDescription: Job Type: Full-time Schedule: Tuesday through Saturday 10:30am to 7:00pm Pay Range: $28.00-30.00 per hour based on experience About the Role: Heritage Lab Services is seeking a dedicated and detail-oriented Molecular Diagnostic Analyst to join our on-site laboratory team at Three Rivers Diagnostics! This is a great opportunity to grow your career in a fast-paced clinical laboratory environment. If you are passionate about delivering accurate, high-quality results that support patient care, we would love to meet with you. Why Join Us: Supportive and collaborative team Opportunities for professional growth Competitive pay and benefits · 401(k) · 401(k) matching · Dental insurance · Health insurance · Health savings account · Life insurance · Paid holidays · Paid time off · Vision insurance Responsibilities: · Receives and process specimens according to department protocols. · Prepare and perform tasks associated with preparation of reagents, quality control, and standards solutions for DNA/RNA extraction and molecular diagnostics testing · Produces, interprets, and reports accurate and precise test results. · Identifies and corrects problems that may adversely affect test performance or result reporting of patient samples. · Communicates pertinent section information/issues to other team members, supervisor, manager or other appropriate individuals. · Perform and maintain accurate records for instrument maintenance, troubleshooting, temperature checks, calibrator or QC failures, lot-to-lot checks, patient sample handling/tracking, and communication logs. · Perform downtime tasks assigned when LIS and/or other systems are malfunctioning, nonfunctional, or temporarily unavailable (LIS connection issues, power outages, etc.) · Follow all safety protocols when handling human samples, such as urine or oral fluid, to ensure compliance with laboratory safety standards. · Follow the laboratory Quality Control (QC) and Quality Assurance (QA) policies and procedures. · Handle and analyze proficiency testing samples with the same care and standards applied to patient specimens to ensure compliance with regulatory requirements. · Participate in validation experiments and workflow studies to enhance efficiency and contribute innovative ideas for continuous improvement in laboratory practices. · Assists the supervisor with administrative functions such as ordering supplies and maintaining inventory. · Performs all job responsibilities in alignment with the industry's best security practices and regulatory guidelines to protect confidentiality, integrity, and availability of protected health information and other sensitive company data. · Perform end of shift/day responsibilities that include restocking supplies as deemed appropriate, clean sections, organize, empty waste, and other duties as delegated. · Perform all tasks assigned in concordance to molecular workflow guidance and in a manner to mitigate sample or section contamination. · Work with other departments within Heritage Lab Services. · Other duties as assigned or delegated. Requirements: Background and Experience: · Bachelor’s degree in chemical, physical or biological science or medical laboratory or equivalent education and training acceptable under CLIA and accreditation agencies to perform high complexity testing. · Three years minimum clinical laboratory experience. · Minimum of three years of experience as a certified Medical Technologist (MT), Clinical/Medical Laboratory Scientist (CLS/MLS), or Technologist in Molecular Technology (MB) · One year of molecular experience is preferred along with experience using the following instrument platforms: o ThermoFisher QuantStudio 5 PCR System o ThermoFisher QuantStudio 12k Flex System o ThermoFisher King Fisher Flex Extraction · Experience with high-throughput diagnostic environments is a plus. · ASCP Certification (highly preferred) · Strong organizational and critical thinking skills. · Ability to work accurately and efficiently in a fast-paced environment. · Strong communication skills and ability to work as part of a team. Heritage Lab Services provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.

Job Description Position Summary: RJ Lee Group is a multidisciplinary scientific consulting, analytical laboratory, and technology solutions company providing advanced technical expertise to clients across a broad range of industries. We are seeking a Materials Scientist or Applied Physicist to join our Materials Characterization team and contribute to technically complex investigations involving material performance, manufacturing processes, product development, quality concerns, and failure analysis. This position supports projects involving a diverse range of materials, including metals, polymers, ceramics, glass, minerals, concrete, composites, and electronic materials. Work may include materials characterization, root-cause investigations, manufacturing and process evaluations, product performance assessments, contamination studies, quality assurance/quality control (QA/QC), and litigation or regulatory support. The successful candidate will apply scientific principles and analytical methodologies to investigate client challenges, generate defensible data, and support the development of technical conclusions and client deliverables. This role provides opportunities to work alongside subject matter experts across RJ Lee Group's multidisciplinary technical teams while gaining exposure to a wide variety of industries and analytical capabilities. The ideal candidate is a hands-on scientist with strong analytical thinking skills, intellectual curiosity, and the ability to solve unfamiliar problems through sound scientific reasoning. Success in this role requires initiative, adaptability, attention to detail, and the ability to thrive in a collaborative, client-focused environment. Key Responsibilities: • Perform scientific investigations and laboratory analyses involving a wide range of materials and material systems., • Operate and interpret data from advanced analytical instrumentation and characterization techniques., • Collect, analyze, and document experimental data for technical review and incorporation into client reports and deliverables., • Support root-cause investigations involving product failures, manufacturing issues, contamination concerns, and material performance challenges., • Assist in method development, experimental design, and technical problem-solving initiatives., • Prepare technical summaries, written reports, and presentations for internal and external stakeholders., • Collaborate with multidisciplinary teams to support consulting engagements, research efforts, and client solutions., • Maintain laboratory documentation, quality standards, and compliance with safe laboratory practices., • Support project execution to meet technical, schedule, and client expectations. Qualifications: • Bachelor's degree in Materials Science, Applied Physics, Engineering, or a related scientific discipline., • 0–5 years of relevant experience in laboratory research, materials characterization, applied science, or technical investigations., • Strong written and verbal communication skills, including technical documentation., • Ability to work both independently and collaboratively in a team-oriented environment., • Strong analytical, organizational, and problem-solving abilities., • Ability to adapt to changing priorities in a dynamic, client-service environment., • U.S. citizenship required. Preferred Qualifications: • Familiarity with laboratory instrumentation and analytical techniques such as:, • Optical Microscopy, • Scanning Electron Microscopy (SEM), • Fourier Transform Infrared Spectroscopy (FTIR), • Raman Spectroscopy, • Gas Chromatography (GC), • Liquid Chromatography (LC), • Experience with scientific programming or data analysis tools such as Python, MATLAB, or similar platforms., • Exposure to failure analysis, process troubleshooting, manufacturing investigations, or applied materials research.

Job DescriptionCompany DescriptionAir is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.Job Description The Lead Data Scientist will provide visionary technical leadership to a team of data scientists and AI engineers, driving the end-to-end development and deployment of cutting-edge Artificial Intelligence solutions for our National Security clientele. This pivotal AI leadership role is instrumental in establishing a robust culture of decision-making Agentic AI and creating the AI platforms, the "brain" of Air, designed to be leveraged by a broad community of AI and Data Science professionals within Air. As a hands-on technical leader, you will apply deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. This involves designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will also have the opportunity to expand and grow data-driven research across Air, leading new areas to apply advanced analytics to drive strategic business and national security results. You'll apply your deep knowledge in advanced simulation and optimization techniques, including Discrete Event Simulation, Monte Carlo methods, and stochastic optimization, to enhance our platforms to handle complex capability simulation and optimization techniques for critical defense use cases. To excel in this position, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. The ideal candidate is a highly organized problem-solver who possesses excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You must be independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation, demonstrating a passion for great work and an intolerance for mediocrity. We seek an uber-smart, creative, out-of-the-box thinker who is challenged by complex defense problems and obsessed with quality and rapid prototyping/deployment, knowing how to engage in constructive dialogue to find the best path forward. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities • Drive the development of a complex, multi-modal decision intelligence system, serving as the central nervous architecture for integrating advanced simulation, optimization, and predictive modeling capabilities across Air Enterprise Readiness platform., • Define the multi-year technical roadmap for AI initiatives, turning vague business challenges into concrete, scalable research and product goals., • Raise the collective bar by mentoring Senior-level engineers and building high-performing teams that consistently deliver state-of-the-art (SOTA) results., • Drive consensus across disparate groups such as DS and AI, Product, Forward Deployed AI and Engineering, to ensure AI deployments are technically sound, commercially viable, and responsible., • Act as the authority on scientific breakthroughs and model strategy, ensuring that core architectures, training methodologies, and data ecosystems are robust, cost-effective, and future-proofed against the rapidly evolving AI landscape, • Lead the end-to-end execution of large-scale AI projects, ensuring alignment with strategic objectives and timely delivery., • Apply deep knowledge in advanced simulation and optimization techniques, including Discrete Event Simulation, Monte Carlo methods, and stochastic optimization., • Enhance our platforms to handle complex capability simulation and optimization techniques for critical defense use cases., • Act as the primary Individual Contributor (IC) and technical lead for complex AI/ML/DS projects, taking deep ownership from ideation to production deployment., • Serve as the domain expert in a specific area of AI (e.g., Deep Learning, Natural Language Processing, Decision Science), driving the application and development of state-of-the-art methods within that specialization., • Work closely with partner teams, including AI research, data engineering, and software development, to define robust software architecture, set the project roadmap, and manage technical execution., • Collaborate with the Product team to clearly define product scope, translating high-level requirements into actionable technical plans and delivering market-ready AI solutions integrated with client data platforms and workflows., • Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem., • Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, including advanced methods in simulation and optimization, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team., • Mentor and guide junior and senior team members, fostering a culture of technical excellence, continuous learning, and high-impact work., • Nurture a robust AI culture within the team by leading technical discussions, conducting internal workshops, and promoting best practices in model development, experimentation, and MLOps., • Demonstrate strong leadership qualities to align the team's AI strategy effectively with overall business and client needs, translating complex technical concepts into strategic business impacts for leadership.Qualifications, • U.S. Citizenship is requiredRequired Skills:, • Minimum of 7 years of professional experience working as a Data Scientist in an industry setting, • Oversee the full lifecycle of large-scale AI projects., • Possess deep knowledge and the ability to apply techniques such as Discrete Event Simulation (DES), agent based modeling and Monte Carlo methods to model complex capabilities., • Deep understanding and application of advanced optimization techniques, specifically including stochastic optimization., • Deep understanding and practical experience with Bayesian optimization, causal discovery, and causal modeling., • Ability to leverage simulation and optimization knowledge to enhance platforms for complex capability simulation and optimization in critical defense use cases., • Understanding of coding AI (such as Claude Code) and experience in using it to scale up AI team deliveries, • Expertise in leveraging deep technical knowledge of AI solution internals (such as Deep Research systems) to design and implement custom, highly optimized solutions., • Ensure timely project delivery and strategic goal alignment., • Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development)., • Define robust software architecture for large-scale AI systems and project roadmaps., • Translate high-level product requirements into actionable technical plans., • Deliver production-ready AI solutions integrated with clients' data platforms and workflows., • Drive the implementation of scalable AI/ML platforms., • Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations, • Champion innovation and best practices across the organization., • Mentor and coach team members., • Foster a high-performing culture of technical excellence and continuous growth., • Help to the leadership to align AI strategy effectively with client needs., • Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools. Desired Skills: • A strong publication record in the top conferences in one of the AI, ML NLP, and decision science areas, • Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems, • Experience in LLM post-training or fine-tuning, • Demonstrate strong National Security domain knowledge., • Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure)., • Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutionsWe firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Job DescriptionDescription: About NovoLINC NovoLINC is a CMU spinout redefining thermal management for AI data centers and power electronics. Incubated by NSF and ARPA-E, and backed by Venture Capital, we are commercializing a nanostructured thermal interface solution that delivers industry-leading performance. As demand for energy-efficient computing accelerates, we are scaling rapidly to meet the needs of global semiconductor and hyperscaler customers. Position Overview NovoLINC is expanding its technical team in materials development and is seeking a self-motivated, detail-oriented Materials Scientist to work onsite and contribute to R&D-driven product development. This role is ideal for candidates with a strong background in materials science, hands-on experience in applied R&D and product development, and a demonstrated problem-solving skill. Reporting directly to the CTO as a member of the R&D team, the Materials Scientist will be responsible for the design and development of materials for existing product lines to meet customer performance and reliability requirements, while also exploring new materials concepts and pathways for next-generation thermal interface solutions. Key Responsibilities · Design, fabricate, and optimize materials to meet or exceed customer requirements for thermal performance, reliability, lifetime, and other key material properties. · Work closely with the CTO and Director of Product Development to design, synthesize, and test new material formulations to optimize existing products and enable next-generation thermal interface solutions. · Conduct materials characterization and coordinate with thermal engineers to qualify new material formulations and validate performance. · Coordinate with process engineers to translate R&D results into scalable, production-ready manufacturing processes. · Work with external suppliers and partners to ensure consistent supply, quality, and specifications of materials and chemical inputs. · Provide technical leadership in the laboratory to maintain the highest standards of safety, including proper handling of hazardous chemicals and processes and strict adherence to personal protective equipment (PPE) requirements. · Prepare written experimental documentation and technical reports for management, ensuring data is properly collected, archived, and accessible for future reference. · Contribute to proposal development for non-dilutive funding opportunities. Qualifications · PhD in Materials Science, Chemistry, Chemical Engineering, or a closely related materials-focused discipline. · Proven expertise in polymer composite engineering to formulate and process highly loaded composites, with a strong focus on selecting base polymers and engineering matrix-filler interfaces to achieve targeted functional properties. · Deep understanding of rheology and phase transitions. Hands-on experience tailoring the viscoelastic behavior of complex mixtures, pastes, or phase-shifting materials. · Minimum of 5 years of experience driving materials-related product development from concept through formulation and scale-up in an industrial or applied R&D environment. · Strong hands-on laboratory experience working with solvents, acidic and basic solutions, with a demonstrated commitment to safe laboratory practices and EHS compliance. · Ability to work 100% onsite at NovoLINC’s laboratory in Harmar, PA (15238). · Proven technical and non-technical communication skills, with the ability to clearly present results through written reports and verbal discussions. Why Join NovoLINC This is a rare opportunity to lead commercialization for a materials breakthrough poised to define the thermal backbone of next-gen AI infrastructure. If you're energized by building new markets, working directly with C-suite customers, and scaling high-impact technologies, we’d love to talk. Requirements:

Job DescriptionPosition Summary: RJ Lee Group is a multidisciplinary scientific consulting, analytical laboratory, and technology solutions company providing advanced technical expertise to clients across a broad range of industries. We are seeking a Materials Scientist or Applied Physicist to join our Materials Characterization team and contribute to technically complex investigations involving material performance, manufacturing processes, product development, quality concerns, and failure analysis. This position supports projects involving a diverse range of materials, including metals, polymers, ceramics, glass, minerals, concrete, composites, and electronic materials. Work may include materials characterization, root-cause investigations, manufacturing and process evaluations, product performance assessments, contamination studies, quality assurance/quality control (QA/QC), and litigation or regulatory support. The successful candidate will apply scientific principles and analytical methodologies to investigate client challenges, generate defensible data, and support the development of technical conclusions and client deliverables. This role provides opportunities to work alongside subject matter experts across RJ Lee Group’s multidisciplinary technical teams while gaining exposure to a wide variety of industries and analytical capabilities. The ideal candidate is a hands-on scientist with strong analytical thinking skills, intellectual curiosity, and the ability to solve unfamiliar problems through sound scientific reasoning. Success in this role requires initiative, adaptability, attention to detail, and the ability to thrive in a collaborative, client-focused environment.Key Responsibilities: • Perform scientific investigations and laboratory analyses involving a wide range of materials and material systems., • Operate and interpret data from advanced analytical instrumentation and characterization techniques., • Collect, analyze, and document experimental data for technical review and incorporation into client reports and deliverables., • Support root-cause investigations involving product failures, manufacturing issues, contamination concerns, and material performance challenges., • Assist in method development, experimental design, and technical problem-solving initiatives., • Prepare technical summaries, written reports, and presentations for internal and external stakeholders., • Collaborate with multidisciplinary teams to support consulting engagements, research efforts, and client solutions., • Maintain laboratory documentation, quality standards, and compliance with safe laboratory practices., • Support project execution to meet technical, schedule, and client expectations.Qualifications:, • Bachelor’s degree in Materials Science, Applied Physics, Engineering, or a related scientific discipline., • 0–5 years of relevant experience in laboratory research, materials characterization, applied science, or technical investigations., • Strong written and verbal communication skills, including technical documentation., • Ability to work both independently and collaboratively in a team-oriented environment., • Strong analytical, organizational, and problem-solving abilities., • Ability to adapt to changing priorities in a dynamic, client-service environment., • U.S. citizenship required.Preferred Qualifications:, • Familiarity with laboratory instrumentation and analytical techniques such as:, • Optical Microscopy, • Scanning Electron Microscopy (SEM), • Fourier Transform Infrared Spectroscopy (FTIR), • Raman Spectroscopy, • Gas Chromatography (GC), • Liquid Chromatography (LC), • Experience with scientific programming or data analysis tools such as Python, MATLAB, or similar platforms., • Exposure to failure analysis, process troubleshooting, manufacturing investigations, or applied materials research. Powered by JazzHR DUjkg1mVdn

Job DescriptionCompany DescriptionAir is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.Job Description We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will have the opportunity to expand and grow data-driven research across Air, leading new areas to apply advanced analytics to drive strategic business and national security results. As part of our team, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple, impactful AI solutions to complex defense problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. We need a creative, out-of-the-box thinker who shares our passion and obsession with quality and rapid prototyping/deployment. This role is a full-time position located out of our office in Arlington, VA, Pittsburgh, PA, or Remote. This role may require up to 50% travel.Scope of Responsibilities • Developing new AI methods and using existing ones to solve complex defense problems, • Developing working AI systems and deploying them, • Rapid prototyping of AI models, systems, heuristics, and agentic solutions, • Working directly with customers to understand and solve their problems, • Translating customer problem definitions into technical requirements for AI-based systems, • Translating vague customer needs into concrete AI workflows and Data Science solutions, • Evaluating solution effectiveness with customers, tuning, and redefining solutions when needed, • Deploying code into production AI systems, • Taking end-to-end ownership of client problems, • Communicating clearly with both non-technical and technical users, • Working with AI platform, agentic AI, and data engineering teams to build end-to-end solutions in production deployments, • Collaborating with AI platform and agentic AI teams to generalize capabilities into reusable agentic AI features/skills for other deployments, • Wrapping AI/DS solutions into AI agentic/skills frameworks, • Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.Qualifications, • U.S. Citizenship is requiredRequired Skills:, • Ability to translate customer problems into technical AI requirements, and write down the documentation to be used by multiple teams., • Deep ability to embed with clients, understand vague business or national security challenges, and translate these customer problems into concrete, actionable technical requirements and detailed documentation for AI-based systems., • Expertise in rapidly prototyping models, heuristics, and agentic solutions. The ability to translate vague needs into concrete AI workflows and Data Science solutions, followed by deploying production-grade code and taking end-to-end ownership of the client's problem., • Skill in defining concrete AI workflows from vague requirements., • Experience evaluating and tuning AI solutions for effectiveness. Experience in measuring the impact of AI/DS solutions., • Competency in deploying code into production AI systems. Competency in building agent/skills solving particular problems., • Expertise in integrating AI/DS solutions into agentic frameworks., • End-to-end ownership of client problems., • Strong communication with non-technical users and technical users., • Collaboration with cross-functional teams for production deployment., • Strong collaboration and communication skills to work effectively with AI platform and data engineering teams. This includes generalizing unique AI/DS solutions into reusable agentic features/skills and integrating them into agentic frameworks for other production deployments. Desired Skills: • A strong publication record in the top conferences in one of the AI, ML, NLP, or decision science areas, • Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems, • Extensive expertise in specialized domains such as Operations Research, Optimization, and Decision Science., • Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutionsWe firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Job DescriptionCompany DescriptionAir is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.Job Description We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will have the opportunity to expand and grow data-driven research across Air, leading new areas to apply advanced analytics to drive strategic business and national security results. As part of our team, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple, impactful AI solutions to complex defense problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. We need a creative, out-of-the-box thinker who shares our passion and obsession with quality and rapid prototyping/deployment. This role is a full-time position located out of our office in Arlington, VA, Pittsburgh, PA, or Remote. This role may require up to 50% travel.Scope of Responsibilities • Develop AI/ML/DS systems to address defense problems., • Develop new AI-based stack of technologies for particular customer needs., • Development of evaluation solutions for AI deployments., • Lead the end-to-end execution of AI projects, ensuring alignment with strategic objectives and timely delivery., • Work closely with partner teams, including AI research, data engineering, and software development, to deliver robust AI systems., • Collaborate with the AI leadership to clearly define product and applications scope, translating high-level requirements into actionable technical plans and delivering AI platforms and solutions., • Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem., • Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team., • Mentor and guide other team members, fostering a culture of technical excellence, continuous learning, and high-impact work., • Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.Qualifications, • U.S. Citizenship is requiredRequired Skills:, • Oversee the full lifecycle of AI projects within Air AI ecosystem., • Understanding of coding AI (such as Claude Code) and experience how to use it to scale up AI team deliveries, • Ensure timely project delivery and strategic goal alignment., • Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development)., • Define robust software architecture for AI systems and project roadmaps., • Translate high-level AI system requirements into actionable technical plans., • Deliver production-ready AI solutions integrated with clients data platforms and workflows., • Drive the implementation of scalable AI/ML platforms., • Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations, • Champion innovation and best practices across the organization., • Mentor and coach team members., • Foster a high-performing culture of technical excellence and continuous growth., • Demonstrate strong National Security domain knowledge. Desired Skills: • A strong publication record in the top conferences in one of the AI, ML NLP, decision science areas, • Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems, • Experience in LLM posttraining or fine tuning, • Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure)., • Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutionsWe firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Job DescriptionCompany DescriptionAir is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.Job Description The Lead Data Scientist will provide visionary technical leadership to a team of data scientists and AI engineers, driving the end-to-end development and deployment of cutting-edge Artificial Intelligence solutions for our National Security clientele. This crucial position is key to building a strong culture of advanced agentic search, deep research, retrieval, and AI, and to creating scalable AI platforms for the wider AI and Data Science community. As a hands-on technical leader, you will apply deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. This involves designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will also have the opportunity to expand and grow data-driven research across Air, leading new areas to apply advanced analytics to drive strategic business and national security results. You will build and lead the development of advanced agentic search, knowledge retrieval, and deep research systems. These systems are designed to provide deep conversational knowledge explorations, robust problem solving, accurate question answering, and a suite of other search, recommendation, and discovery capabilities, transforming proprietary and commercial datasets into mission-critical insights. To excel in this position, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. The ideal candidate is a highly organized problem-solver who possesses excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You must be independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation, demonstrating a passion for great work and an intolerance for mediocrity. We seek an uber-smart, creative, out-of-the-box thinker who is challenged by complex defense problems and obsessed with quality and rapid prototyping/deployment, knowing how to engage in constructive dialogue to find the best path forward This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities • Drive the architecture and development of the 'Air Brain,' a complex, multi-modal intelligent agent system for knowledge retrieval and deep research, serving as the central nervous architecture for powering agentic AI search, deep research, RAG, and knowledge graph systems across Air Enterprise Readiness platform., • Define the multi-year technical roadmap for AI initiatives, turning vague business challenges into concrete, scalable research and product goals., • Raise the collective bar by mentoring Senior-level engineers and building high-performing teams that consistently deliver state-of-the-art (SOTA) results., • Drive consensus across disparate groups such as DS and AI, Product, Forward Deployed AI and Engineering, to ensure AI deployments are technically sound, commercially viable, and responsible., • Act as the authority on scientific breakthroughs and model strategy, ensuring that core architectures, training methodologies, and data ecosystems are robust, cost-effective, and future-proofed against the rapidly evolving AI landscape, • Lead the end-to-end execution of large-scale AI projects, ensuring alignment with strategic objectives and timely delivery., • Lead the development of advanced agentic search, knowledge retrieval, and deep research systems., • Drive the expansion of data-driven research and advanced analytics for strategic business and national security results., • Design and deploy Agentic AI systems capable of deep conversational knowledge explorations, robust problem solving, and accurate question answering from proprietary datasets., • Act as the primary Individual Contributor (IC) and technical lead for complex AI/ML/DS projects, taking deep ownership from ideation to production deployment., • Serve as the domain expert in AI Search Science (ranking, query understanding, agentic search, deep research, embedding models, etc), driving the application and development of state-of-the-art methods within that specialization., • Work closely with partner teams, including AI research, data engineering, and software development, to define robust software architecture, set the project roadmap, and manage technical execution., • Collaborate with the Product team to clearly define product scope, translating high-level requirements into actionable technical plans and delivering market-ready AI solutions integrated with client data platforms and workflows., • Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem., • Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team., • Mentor and guide junior and senior team members, fostering a culture of technical excellence, continuous learning, and high-impact work., • Nurture a robust AI culture within the team by leading technical discussions, conducting internal workshops, and promoting best practices in model development, experimentation, and MLOps., • Demonstrate strong leadership qualities to align the team's AI strategy effectively with overall business and client needs, translating complex technical concepts into strategic business impacts for leadership.Qualifications, • U.S. Citizenship is requiredRequired Skills:, • Minimum of 7 years of professional experience working as a Data Scientist in an industry setting, • Oversee the full lifecycle of large-scale AI projects., • Understanding of coding AI (such as Claude Code) and experience in using it to scale up AI team deliveries, • Expertise in designing and implementing Retrieval-Augmented Generation (RAG) architectures and complex indexing strategies for proprietary, large-scale, heterogeneous datasets. Expertise in fine-tuning multi modal embedding models, • Proven ability to leverage state-of-the-art LLMs, multi-modal embedding models, vector databases, and knowledge graph systems to build production-ready knowledge retrieval, conversational AI search, and Deep Research systems., • Practical experience building hybrid knowledge retrieval systems that combine advanced techniques like embedding models, knowledge graphs, and traditional methods (e.g., BM25), utilizing novel paradigms such as GraphRAG, RAG-RL, and other advanced retrieval strategies., • Deep knowledge of and practical experience with ranking and reranking models, including multi-tower, bi-encoder and cross-encoder architectures, specifically within the context of search and knowledge retrieval systems., • Expert proficiency in developing and deploying multi-agent AI systems and reasoning frameworks (e.g., ReAct, Chain-of-Thought) for complex knowledge exploration, robust problem-solving, and decision support within search and retrieval contexts., • Ensure timely project delivery and strategic goal alignment., • Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development)., • Define robust software architecture for large-scale AI systems and project roadmaps., • Translate high-level product requirements into actionable technical plans., • Deliver production-ready AI solutions integrated with clients' data platforms and workflows., • Drive the implementation of scalable AI/ML platforms., • Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations, • Champion innovation and best practices across the organization., • Mentor and coach team members., • Foster a high-performing culture of technical excellence and continuous growth., • Help to the leadership to align AI strategy effectively with client needs., • Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools. Desired Skills: • A strong publication record in the top conferences in one of the AI, ML NLP, and decision science areas, • Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems, • Experience in LLM post-training or fine-tuning., • Demonstrate strong National Security domain knowledge., • Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure)., • Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutionsWe firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

About Us: HIGHLIGHTS: Medical Technologist/POC SHIFT: Day Shift (7A-7P) JOB TYPE: Full-time FACILITY TYPE:18 bed Small-Format Hospital (8 ER, 10 Inpatient) JOB PERKS Night/Weekend shift differentials, 401K MATCH (100% vested day one of eligibility!), Paid Employee Referrals! FREE Parking! LOCATION: McCandless: 8950 Duncan Avenue, Pittsburgh, PA 15237 We are Emerus, the leader in small-format hospitals. We partner with respected and like-minded health systems who share our mission: To provide the care patients need, in the neighborhoods they live, by teams they trust. Our growing number of amazing partners includes Allegheny Health Network, Ascension, Baptist Health System, Baylor Scott & White Health, ChristianaCare, Dignity Health St. Rose Dominican, The Hospitals of Providence, INTEGRIS Health, MultiCare and WellSpan. Our innovative hospitals are fully accredited and provide highly individualized care. Emerus' commitment to patient care extends far beyond the confines of societal norms. We believe that every individual who walks through our doors deserves compassionate, comprehensive care, regardless of their background, identity, or circumstances. We are committed to fostering a work environment focused on teamwork that celebrates diversity, promotes equity and ensures equal access to information, development and opportunity for all of our Healthcare Pros. Position Overview: The purpose of this position is to provide technical assistance and supportive patient care to meet the needs of individual patients throughout assigned areas. Responsible for the collection and analysis of laboratory specimens and subsequent result reporting according to laboratory protocol and procedures. Acts as general supervisor over assigned lab activities. Essential Job Functions: • Performs tasks, duties and/or complex tests in all areas of the laboratory assigned according to established laboratory protocols and procedures to ensure compliance with applicable federal, state, and local regulations, COLA accreditation requirements and hospital standards., • Collects and processes specimens utilizing protocols and technical knowledge., • Performs quality control, preventive maintenance, troubleshooting protocols to ensure proper functioning of instruments, reagents, procedures., • Validates and delivers results of tests performed and assists with all technical troubleshooting and quality assurance issues., • Follows established safety practices including biohazards, exposure control plan (blood-borne pathogens), infection control to include standard precautions, employee right to know (hazardous chemicals), and chemical hygiene standard and maintains required documentation for compliance with federal, state, and local, regulations., • Assist with performing proficiency testing for each test to include corrective action when necessary., • Develop and foster collaboration among clinical departments and affiliated services to ensure an integrated and coordinated approach to providing laboratory services and resolution of customer complaints or problems., • Coordinate and perform all pre-analytic, analytic, and post-analytic laboratory activities in collaboration with the Laboratory Director and Technical Consultant, • Assist with patient care and other activities within the scope of state license and/or regulations. May include, but not limited to, phlebotomy, IV starts, initiating EKGs, vital signs, height and weight, intake and output, pulse oximetry and superficial wound care., • Provide for patient safety related to age and condition, • Maintain patient privacy and confidentiality of information and records at all times, • Provide and maintain a clean, safe environment and perform and/or assist others to perform proper aseptic technique, isolation procedures, and infection control measures, • Assist with the admission, transfer, and discharge of the patient Other Job Functions:, • Prepare patients and chaperone during examinations/procedures or assists with other patient treatments, • Maintain lab and all patient care areas with appropriate supplies, • Assist with patient restraints and maintain precautions; collect, report and document data related to patient needs/emergencies and unusual patient and family behavior, • Travel to all facility locations as required, • Attend staff meetings or other company sponsored or mandated meetings as required, • Perform additional duties as assigned Basic Qualifications:, • Bachelor’s degree in Biological/Physical Sciences or Medical Laboratory Science, required, • Current BLS certification through the American Heart Association or American Red Cross, required, • Market-Specific qualifications:, • Pennsylvania Market, • Minimum of 6 years core lab experience, required (Years of experience begin with Medical Laboratory Courses), • Act 33 (Child Abuse History Clearance), Act 73 (FBI Fingerprint Criminal History Clearance) completed within the last 5 years, or must be obtained prior to start date., • Las Vegas Market, • Certification as a Medical Laboratory Scientist/Technologist (MLS/MLT) by the American Society of Clinical Pathology (ASCP), or American Medical Technology (AMT), • Valid State of Nevada license Laboratory General Supervisor, or ability to obtain General Supervisor license within 6 months of hire, • Minimum of 3 years lab experience in the non-waived specialties of a clinical laboratory; 2 of these years must be in a licensed laboratory or a laboratory of a hospital, university or health department and be under the supervision of a director who possesses a doctoral degree, • Experience with IV start, phlebotomy and initiation of EKG a plus (experience is not required); training is provided and required after hire

Make a Difference in the Lives of Children — Join UPMC’s World-Class Laboratory Team! UPMC Children’s Hospital of Pittsburgh, a nationally ranked pediatric hospital recognized for excellence in care, research, and innovation, is currently seeking a Lead Medical Laboratory Scientist or Technician to join our Automated Testing Laboratory on daylight shift. At our facility, you’ll be part of a family-focused, team-oriented environment where your contributions truly matter. If you’re looking for a rewarding career that blends professional growth with a strong sense of purpose, we invite you to explore what it means to be a part of the UPMC Children's team. Why UPMC Children’s Hospital of Pittsburgh? • Be part of a world-renowned pediatric hospital consistently ranked among the best in the nation, • Work with cutting-edge laboratory technology in a modern, collaborative environment, • Competitive salary and comprehensive benefits package, • Career advancement and professional development opportunities Make a direct impact on pediatric care and outcomes Applicants will be placed into the appropriate job title and salary based on their individual experience and education. The Lead Medical Lab Scientist title starts at $31.83 hourly. UPMC is Offering a generous Sign-on Bonus for those who qualify! Responsibilities: • SERVE AS A ROLE MODEL:, • Represents the Laboratory on Hospital committees as needed, • Adheres to abnormal and/or critical results reporting policy and turn-around-time policy., • Complies with attendance and tardiness policy. Helps to monitor subordinate attendance and tardiness., • Adheres to the compliance policy and serves as a resource for subordinate questions., • Adheres to all safety policies as outlined in the Laboratory Safety Manual., • ACT AS A SUPERVISOR DESIGNATE:, • Assumes supervisory duties as needed., • Evaluates problems in the absence of the Supervisor and solves those that are possible. Communicates problems with the Laboratory Supervisor, Manager or Director as appropriate., • OPERATIONS:, • All duties of a Medical Lab Technician, • Ensures that instrument maintenance and/or function checks are performed and documented accurately, according to procedure., • Troubleshoots instrument malfunctions and informs the Laboratory Supervisor, Manager or Director of problems., • Reviews QC logs. Documents and brings to the attention of the Laboratory Supervisor, Manager or Director any errors, omissions or discrepancies in QC., • Compiles QA data and prepares reports as directed by the Laboratory Supervisor, Manager or Director., • Monitors proficiency testing activity and assists the Director with evaluation of results and documentation of responses to deficiencies., • Assists the Laboratory Supervisor or Manager with staff scheduling as directed., • PURCHASING AND INVENTORY:, • Demonstrates awareness of appropriate inventory levels in all relevant sections of the laboratory., • Takes action to prevent supply shortages or overages., • Performs purchasing of supplies in the absence of the Laboratory Supervisor or Manager as directed., • TRAINING, DEVELOPMENT AND EDUCATION:, • New procedures are mastered within established time frames., • Demonstrates awareness of changes in procedures and protocols., • Performs orientation and training assignments in an organized, thorough manner., • Serves as a resource to other employees by sharing knowledge of procedures or testing outcomes when consulted., • Develops, performs and/or evaluates special projects., • Performs test evaluations and validations of new procedures and/or reagent systems., • Formulates, authors and/or revises procedures according to CLSI guidelines., • Prepares and delivers student lectures and bench instruction where relevant., • COMPETENCY:, • Assists supervisory personnel in the observation and documentation of laboratory staff competency., • Completes all assigned duties within the required time frame. Lead Medical Lab Technician: • Three years' experience with certification as a Medical Laboratory Technician or Four years' experience without certification required, including two years' experience in the host laboratory preferred. Lead Medical Lab Scientist: • Bachelor of Science degree from an accredited college/university AND successful completion of an accredited Medical Lab Scientist program, OR, • Bachelor of Science degree from an accredited college/university with a major in biological, chemical, or clinical laboratory science AND ASCP or equivalent categorical or MLT certification, OR, • Bachelor of Science degree from an accredited college/university with a major in biological, chemical, physical, or clinical laboratory science AND at least two years' experience in a role equivalent to that of a Medical Laboratory Technician (MLT) in a clinical laboratory., • Three years' experience as a Medical Lab Scientist strongly preferred. Licensure, Certifications, and Clearances: • ASCP or equivalent certification in Medical Laboratory Technologist (MLT) or categorical certification preferred., • Act 31 Child Abuse Reporting with renewal, • Act 33 with renewal, • Act 34 with renewal, • Act 73 FBI Clearance with renewal UPMC is an Equal Opportunity Employer/Disability/Veteran

Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven re

$80 - $150/hourpayPhysics MasteryWritten Technical CommunicationCritical Evaluation & Error DetectionCalibrated Technical JudgmentVerification & Cross-Checking Fluencymicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms., • Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology., • Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback., • Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement., • Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument., • Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate., • Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes. Preferred Qualifications • PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials)., • Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist., • Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links., • Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation., • Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars., • Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor., • Reliable access to high-speed internet and a computer suitable for rigorous technical work.

$80 - $130/hourpaymaterials science expertisematerials characterizationtechnical literature reviewscientific data interpretationclear written and verbal communicationremote collaborationannotating technical datasetsscenario and case study developmentquality assurance in scientific deliverablesanalytical skillsmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Materials Scientist / Engineer Role Type: Contractor Location: Remote micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise to a customer’s advanced materials project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Analyze and interpret scientific data from experimental results, technical datasets, and research publications in materials science and engineering., • Conduct comprehensive technical literature reviews to identify key advances, methodologies, and challenges in materials characterization and related fields., • Annotate and structure technical datasets with precise, detailed commentary and context to support AI model training., • Develop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors., • Provide clear, well-organized written and verbal explanations of materials phenomena, properties, and scientific reasoning., • Review and assure the quality, consistency, and accuracy of scientific deliverables submitted for project milestones., • Collaborate remotely with other scientific contributors, leveraging digital tools and documentation practices. Preferred Qualifications • MS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with a materials specialization., • Demonstrated expertise in materials characterization techniques (e.g., microscopy, spectroscopy, mechanical testing)., • Strong analytical skills and experience interpreting complex scientific data., • Substantial experience conducting technical literature reviews and summarizing key findings., • Proven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences., • Experience with quality assurance and review of scientific documents or datasets., • Familiarity with remote collaboration tools and digital knowledge-sharing environments. Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

Are you passionate about coding or technology and ready to make your mark in tech? For more than 14 years SynergisticIT has been helping aspiring developers like you excel in the tech industry. We focus on equipping you with the skills and experience needed to not only secure a job but to thrive in your career! Why Partner with SynergisticIT? • Customized inputs to achieve the desired output: designed with industry needs in mind, ensuring you're equipped with the most sought-after skills., • Exclusive Opportunities: Our extensive network allows you to connect with leading tech firms., • Outstanding Outcomes: Many of our candidates land multiple job offers, often with starting salaries of $100k or more! Who Should Apply? We're looking for recent grads in Mathematics, Statistics, Computer Science or Engineering or candidates with gaps in their career or people wanting to switch careers into tech. SynergisticIT is committed to supporting your journey! Preferred SKILLS For Java/Full stack/Devops Positions Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Knowledge of Core Java, javascript, C++ or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience For data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools Candidates lacking technical skills or relevant experience can research our Job Placement Programs which can assist in landing a Job If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates Embrace Your Future! We also assist with F1 OPT to transition into H1B and Green Card by providing comprehensive support. All positions are open to candidates of all visa types and US citizens.

Position Summary The role of technology in legal functions is growing exponentially and allowing legal departments to transform how they improve their processes, increase efficiencies and transform the future of legal services delivery. If you are someone who thrives in navigating the growing legal transformation through a technology lens and partnering with passionate professionals to help companies achieve their objectives; then we would like to get to know you. Apply now! Recruiting for this role ends on May 31, 2027. What you'll do As a Senior Consultant in Deloitte's Legal Business Services team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization. You will deliver services for companies that streamline their process and increase efficiency by leveraging numerous applications. Responsibilities include: Client Management: Participate in the day-to-day interactions with client's project team members and Deloitte project leadership members. Delivery: Work with a team to optimize tax and legal process, leveraging technology to align tax and legal software with the clients' specific requirements and goals. Solutions: Work with a team to develop and leverage automation and innovative solutions to aid in the efficiency of tax and legal departments. Support: Provide training and software support around day-to-day activities, related to processes and various technologies or situational changes. Project Management: Assist with project management tasks, such as creating workplans, tracking budgeted time to actual hours incurred, writing status reports, and actively participating in status calls. Cross Functional Teaming: Understand and articulate the broader practice and Deloitte overall. Maintain relationships and serve clients holistically. People Development: Participate in the development of team members. Business Development: Participate in and contribute to pursuit teams. The team At Deloitte Tax LLP, our Tax Technology Consulting (TTC) practice helps tax departments pursue a streamlined, transparent, and efficient tax function that enhances the core responsibilities of compliance, reporting and planning, while also positioning tax as a strategic business advisor for the digital era. We specialize in tax and can effectively address a corporate tax function's unique needs, requirements and obligations. As technology specialists, we help clients make appropriate technology choices for both direct and indirect taxes across all business cycles that have a tax impact tax. Our team, the largest of its type, offers the necessary combination of skills, methodology and practical experience to help clients with a successful ERP implementation. Deloitte TTC professionals are aligned across our global network of member firms to support our clients' objectives and address their challenges. Our team's multi-disciplinary approach combines tax technical and technology skillsets, enabling greater impact and efficiency within our client's organization. TTC's business services help clients with operating model evaluation, roadmap development for a desired future state, data management solutions, automation opportunities, tax portal, cloud for enterprise systems, agile resourcing models, risk, provision and compliance. Qualifications Required: Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2-3 days per week 3+ years' experience with legal and/or technology solutions Bachelor's degree in technology, business, accounting, legal or related field Experience with one or more of the following: Implementation experience with Agiloft, SirionOne, Icertis or any other CLM (contract lifecycle management) software Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others Experience with DocuSign CLM or Salesforce configuration Limited immigration sponsorship may be available Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve One of the following active accreditations obtained, in process, or willing and able to obtain: Licensed CPA in state of practice/primary office if eligible to sit for the CPA If not CPA eligible: Licensed Attorney (or foreign equivalent) Enrolled Agent PMP (Project Management Certification) Contract & Commercial Management (CCM) Certification Program Certified Financial Analyst (CFA) Procurement/Legal Procurement or SAS Certified Data Scientist Paralegal Certification with a 4-year degree Technical Certifications: Six Sigma (Black Belt and Green Belt) DocuSign (Workflow Manager, E-signature, CLM, etc.) iCertis Thomson Reuters (Legal Tracker, High Q, or Contract Express) Preferred: Advanced Degree in any of the above fields Experience with template rationalization and harmonization, guide or playbook creation and the design of the contracting processes The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $100,350 to $205,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Tax LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 352993 Job ID 352993

SHIFT: Day Shift (7A-7P) JOB TYPE: Full-time FACILITY TYPE: 18 bed Small-Format Hospital (8 ER, 10 Inpatient) JOB PERKS: Night/Weekend shift differentials, 401K MATCH (100% vested day one of eligibility!), Paid Employee Referrals! FREE Parking! LOCATION: McCandless: 8950 Duncan Avenue, Pittsburgh, PA 15237 We are Emerus, the leader in small-format hospitals. We partner with respected and like-minded health systems who share our mission: To provide the care patients need, in the neighborhoods they live, by teams they trust. Our growing number of amazing partners includes Allegheny Health Network, Ascension, Baptist Health System, Baylor Scott & White Health, ChristianaCare, Dignity Health St. Rose Dominican, The Hospitals of Providence, INTEGRIS Health, MultiCare and WellSpan. Our innovative hospitals are fully accredited and provide highly individualized care. Emerus' commitment to patient care extends far beyond the confines of societal norms. We believe that every individual who walks through our doors deserves compassionate, comprehensive care, regardless of their background, identity, or circumstances. We are committed to fostering a work environment focused on teamwork that celebrates diversity, promotes equity and ensures equal access to information, development and opportunity for all of our Healthcare Pros. The purpose of this position is to provide technical assistance and supportive patient care to meet the needs of individual patients throughout assigned areas. Responsible for the collection and analysis of laboratory specimens and subsequent result reporting according to laboratory protocol and procedures. Acts as general supervisor over assigned lab activities. • Performs tasks, duties and/or complex tests in all areas of the laboratory assigned according to established laboratory protocols and procedures to ensure compliance with applicable federal, state, and local regulations, COLA accreditation requirements and hospital standards., • Collects and processes specimens utilizing protocols and technical knowledge., • Performs quality control, preventive maintenance, troubleshooting protocols to ensure proper functioning of instruments, reagents, procedures., • Validates and delivers results of tests performed and assists with all technical troubleshooting and quality assurance issues., • Follows established safety practices including biohazards, exposure control plan (blood-borne pathogens), infection control to include standard precautions, employee right to know (hazardous chemicals), and chemical hygiene standard and maintains required documentation for compliance with federal, state, and local, regulations., • Assist with performing proficiency testing for each test to include corrective action when necessary., • Develop and foster collaboration among clinical departments and affiliated services to ensure an integrated and coordinated approach to providing laboratory services and resolution of customer complaints or problems., • Coordinate and perform all pre-analytic, analytic, and post-analytic laboratory activities in collaboration with the Laboratory Director and Technical Consultant, • Assist with patient care and other activities within the scope of state license and/or regulations. May include, but not limited to, phlebotomy, IV starts, initiating EKGs, vital signs, height and weight, intake and output, pulse oximetry and superficial wound care., • Provide for patient safety related to age and condition, • Maintain patient privacy and confidentiality of information and records at all times, • Provide and maintain a clean, safe environment and perform and/or assist others to perform proper aseptic technique, isolation procedures, and infection control measures, • Assist with the admission, transfer, and discharge of the patient, • Prepare patients and chaperone during examinations/procedures or assists with other patient treatments, • Maintain lab and all patient care areas with appropriate supplies, • Assist with patient restraints and maintain precautions; collect, report and document data related to patient needs/emergencies and unusual patient and family behavior, • Travel to all facility locations as required, • Attend staff meetings or other company sponsored or mandated meetings as required, • Perform additional duties as assigned, • Bachelor's degree in Biological/Physical Sciences or Medical Laboratory Science, required, • Current BLS certification through the American Heart Association or American Red Cross, required, • Market-Specific qualifications:, • Pennsylvania Market, • Minimum of 6 years core lab experience, required (Years of experience begin with Medical Laboratory Courses), • Act 33 (Child Abuse History Clearance), Act 73 (FBI Fingerprint Criminal History Clearance) completed within the last 5 years, or must be obtained prior to start date., • Las Vegas Market, • Certification as a Medical Laboratory Scientist/Technologist (MLS/MLT) by the American Society of Clinical Pathology (ASCP), or American Medical Technology (AMT), • Valid State of Nevada license Laboratory General Supervisor, or ability to obtain General Supervisor license within 6 months of hire, • Minimum of 3 years lab experience in the non-waived specialties of a clinical laboratory; 2 of these years must be in a licensed laboratory or a laboratory of a hospital, university or health department and be under the supervision of a director who possesses a doctoral degree, • Experience with IV start, phlebotomy and initiation of EKG a plus (experience is not required); training is provided and required after hire

Laboratory Supervisor Allegheny Health Network Coordinates and supervises all activities related to testing under the general direction of the Laboratory Director and/or Laboratory Manager in conjunction with the Medical Director. • Facilitates optimal laboratory operations by identifying, investigating and resolving issues and directing appropriate interventions while adhering to hospital policies and procedures and relevant rules and regulations. Promotes cost effective quality patient care through resource management by identifying needs and allocating appropriate resources. (30%), • Selects, develops, and motivates staff. Supervises assigned staff, assesses competencies, evaluates work, recommends and implements appropriate disciplinary action. (20%), • Serves as a consultant to laboratory personnel and other health care providers, as needed. Participates in continuing education to ensure growth and development of the laboratory. (15%), • Prepares or assists with capital, manpower and operational budgets and maintains expenses and salaries within established budgets. (5%), • May perform a variety of routine and complex procedures using established criteria to provide quality clinical information. Verifies analytic accuracy, precision sensitivity and linearity of test methods. (20%), • May mentor students and new employees in laboratory testing following AHN policies and procedures. (5%), • May act as a liaison to facilitate communication between the AHN laboratories (5%), • Performs other duties as assigned or required. Minimum: • For the respective Anatomical Pathology domains below:, • Cytology: Cytotechnologist (CT) ASCP certification, • Cytogenetics: Cytogenetics (CG) ASCP certification, • Histology: Histotechnologist (HTL) or Histotechnician (HT) ASCP certification, • Surgical Pathology/Gross Room: Pathologists' Assistant (PA) ASCP certification, • For Clinical Pathology domains:, • Medical Laboratory Technician (MLT) or Medical Technologist (MT) or Medical Laboratory Scientist (MLS) ASCP certification, • Cytogenetics: Cytogenetics (CG) ASCP certification, • For Histocompatibility Domain:, • BS in Medical Technology or Life Sciences, • 3 years prior laboratory experience, • For labs holding a New York State license: 4 years of prior laboratory experience. Preferred: • One year of supervisory experience Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below. For accommodation requests, please contact HR Services Online at HRServices@highmarkhealth.org California Consumer Privacy Act Employees, Contractors, and Applicants Notice

Responsibilities- Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights- Overseeing the implementation of data infrastructure and integration to support scalable AI systems- Driving business growth by identifying market opportunities a

Who we areAurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.We are searching for a Staff Safety Data Scientist on the Safety Analysis team who is a technical leader and go-to expert for risk and safety guidance, leveraging deep expertise in data science to lead critical safety research. Your insights will drive the safety strategy and external safety communications, including the development of industry-leading, benchmark safety studies and frameworks. The role requires a strong background in risk and hazard assessment and exceptional communication and interpersonal skills. You will be responsible for applying advanced statistical analysis and probabilistic modeling to support the safety case, inform hardware and software decisions, and identify critical risk factors. You will collaborate with diverse stakeholders across engineering, operations, and product.In This Role, You Will:Lead the development of novel quantitative data analytics using both proprietary (Aurora-logged, sensor, system, integration testing data) and publicly available data (CRSS, FARS, state-level information).Author and present technical analyses and findings to diverse internal and external audiences, including stakeholders, authoritative bodies, and industry forums.Design and automate data collection and analysis to support ongoing safety programs.Extract insights from historical system safety performance to develop leading indicators for future performance forecasting. Analyze safety data from operational vehicles, crash metrics, and near-miss incidents to inform safety strategies and decision-making.Develop statistical models and algorithms to predict potential risks and prevent incidents, improving the safety performance of autonomous systems.Model self-driving vehicle behaviors at the system and subsystem levels.Develop and maintain reports and expressions of baseline risk coverage and application in operations.Design and develop expressions of risk benchmarking from similar industries.Create dashboards and reports for communicating risk, ranking, and anomalies.Present safety research findings to senior leadership and recommend actionable improvements to safety protocols and operational systems.Mentor and lead junior team members, fostering their professional growth.Required QualificationsBachelor’s degree in Data Science, Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience.7+ years of progressive experience solving large-scale complex problems.Demonstrated experience in a safety related domain (e.g., transportation, aerospace, robotics, medical devices).Strong understanding of safety principles and risk assessment methodologies; with a proven track record of using data science techniques to solve safety challenges and mitigate risks in a dynamic environment.Deep command of statistical methods, probabilistic modeling, and performing rapid exploratory data analysis.Expertise in data science tools (e.g., Python, SQL, R), statistical modeling, machine learning, predictive analytics, and visualization software (e.g., Tableau, Power BI).Adept at querying, analyzing, and visualizing large datasets.Excellent communication and presentation skills, with the ability to convey complex information to various audiences.Strong leadership skills, with the ability to provide guidance and mentorship.Ability to work independently, as part of a cross-functional team, or as a project lead.Desirable QualificationsAdvanced degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience.Experience working in safety and risk, ideally complemented by a portfolio of publications, reports, or conference presentations.Familiarity with rapidly scaling operational environments.Proficient in working with advanced data transformation tools such as DBT.Skilled in building and deploying using Amazon Web Services (AWS) tools.Background in the Autonomous Vehicles, Aerospace, or Robotics domains.The base salary range for this position is $171,000 - $247,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.Working at AuroraAt Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.Our commitment to safetyAt the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.Our commitment to inclusionAurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

Potential Responsibilities Future projects may involve: - Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and tech

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25/hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You do

The Corporate Project Manager (PM) is responsible to plan, direct and coordinate all phases of execution of assigned capital and major maintenance projects, from Project Initiation through Project Closeout, including engineering, procurement, construction and start-up.The PM works with the Operation

Are you a skilled Remodeling Tradesman with outstanding management skills? Looking for a challenging opportunity to use your skills, talents and experience? Looking for a fast-paced, changing work environment? Ready to expand your career into project management and supervision? Someone who enjoys he

Strong background in Agile environments.Experience managing outbound logistics software projects.Shipium (cloud) and Proship (server) or similar logistics applications.Ability to lead in a matrixed organization and communicate across all levels.Excellent problem-solving, facilitation, and leadership

The Data Verification Analyst is responsible for all bill review clerical functions, including mail, prepping and scanning medical bills, data entry, data verification and assisting with various phone and email tasks to support the bill review department. Validate incoming data to the Bill Review sy