Title: Group Fitness Per Diem - Works Fitness Center Location: Somersworth United States remote type Onsite locations Somersworth-NH time type Part time Job Description: Site: Wentworth-Douglass Hospital Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary Join The Works Fitness Center! Free Membership! Responsible for leading and instructing group fitness classes. This role involves designing and delivering engaging fitness programs tailored to the needs of patients, staff, and community members. The instructor will work closely with the wellness team and other healthcare professionals to promote physical fitness and overall well-being. Qualifications Essential Functions • Plan and lead group fitness classes, including but not limited to aerobics, strength training, yoga, or other exercise modalities. • Provide clear and effective instruction, ensuring exercises are performed correctly and safely. • Develop and implement fitness programs tailored to various fitness levels and health conditions. • Adapt exercises and class content based on the specific needs and goals of participants. • Create a positive and motivating class environment to encourage participant engagement and adherence. • Offer modifications and alternatives to accommodate participants with different fitness levels or physical limitations. Education Active Group Fitness or personal training certification from an approved provider that will be relevant to the class being taught. Can this role accept experience in lieu of a degree? Yes Licenses and Credentials Heartsaver CPR AED [CPR] - American Heart Association (AHA) required Experience Experience in group fitness instruction Knowledge, Skills and Abilities • Strong knowledge of fitness techniques and principles. • Excellent communication and motivational skills. • Ability to adapt exercises for diverse populations, including individuals with specific health conditions. • Basic understanding of safety protocols and emergency procedures. Additional Job Details (if applicable) Remote Type: Onsite Work Location: 23 Works Way Scheduled Weekly Hours: 0 Employee Type: Per Diem Work Shift: Rotating (United States of America) Pay Range: $18.41 - $26.27/Hourly Grade: 4 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications, and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums, and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement 1810 Wentworth-Douglass Hospital is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Location: San Francisco United States Title: Applied Scientist Location: Toronto, ON / San Francisco, CA / Pittsburgh, PA / Remote US & Canada Job Description: Software Autonomy & Algorithms / Full-time / Remote, Hybrid Waabi, 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. 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 Companys 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!

Role Description As the Global Regulatory Project Lead, you will be a key individual contributor at the forefront of our innovation pipeline, guiding the regulatory strategy for novel farm and companion animal products. You will serve as the dedicated regulatory expert on global project teams, shaping development from the ground up and leading direct negotiations with agencies like the U.S. Food and Drug Administration's Center for Veterinary Medicine (CVM). This role requires a strategic professional who can navigate complex agency interactions, influence cross-functional partners, and ensure our submissions in the United States (US), European Union (EU), and other first-wave countries are successful. Your Responsibilities - Guide the design and development of the global regulatory strategy for development projects, with a primary focus on CVM/FDA submissions. - Serve as the dedicated regulatory subject matter expert on development teams, representing the regulatory viewpoint and providing risk/benefit evaluations to guide project strategy. - Act as the primary point of contact for and lead direct engagements with regulatory agencies (e.g., CVM, European Medicines Agency (EMA)), including pre-submission meetings and negotiations. - Partner with R&D to develop and implement clinical trial submission plans, ensuring alignment with the overall regulatory strategy. - Collaborate with internal stakeholders to provide technical leadership on Quality, Safety, and Efficacy sections for regulatory submissions. - Proactively identify and communicate project-specific regulatory risks and opportunities to the development team and leadership. - Comply with all company local and global policies including quality frameworks, Code of Conduct, anti-discrimination, harassment, and health, safety, and environment (HSE) policies. Qualifications - A Master’s degree or higher in veterinary medicine, biology, infectious diseases, immunology, animal science, or a related field. - At least 10 years of relevant experience in the animal health industry, with direct regulatory affairs experience in veterinary pharmaceuticals. - Demonstrated experience leading direct submissions and negotiations with regulatory agencies, with a strong preference for the U.S. Food and Drug Administration's Center for Veterinary Medicine (CVM). - Proven ability to serve as the primary regulatory expert on cross-functional project teams in a global environment, with exceptional communication, negotiation, and influencing skills. Requirements - Direct regulatory experience with both farm animal and companion animal products. - Broad experience with global registration processes, particularly leading first-wave submissions in the European Union and other key markets simultaneously. - Experience navigating novel regulatory pathways for innovative products. - A strong understanding of risk assessment and risk management fundamentals. - Knowledge of Continuous Improvement methodologies (e.g., Six Sigma, Lean). Benefits - Multiple relocation packages - Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO) - 8-week parental leave - 9 Employee Resource Groups - Annual bonus offering - Flexible work arrangements - Up to 6% 401K matching

Role Description The Intel Sector at Leidos currently has an opening for a Research Scientist to work in Fort Belvoir, VA. This is an exciting opportunity to use your experience to support the Defense Threat Reduction Agency's (DTRA) Environmental Data Enterprise (EDE). In this mission, we support the environmental modeling activities of DTRA, DoW, international partners, and private industry, with a focus on atmospheric transport and dispersion (ATD) modeling. This is a full-time remote opportunity. The successful candidate will be a subject-matter expert in atmospheric science or meteorology and will take part in research and development efforts to enhance our numerical weather prediction (NWP) and ATD capabilities. The candidate will apply their expertise by using cutting-edge artificial intelligence and machine learning techniques and best software development practices to improve current capabilities and create new state of the art techniques for the evaluation and use of environmental data. This role is pivotal in designing, developing, and deploying next-generation environmental modeling systems that are crucial for national security. - AI-Driven Model Development: Design, develop, and implement novel AI/ML methods for creating, assessing, and modifying vast amounts of meteorological data. - Advanced R&D: Conduct research on improving meteorological model inputs (e.g., planetary boundary layer, vertical mixing, ensemble forecasting) for ATD models using AI techniques to increase accuracy and efficiency. - Model Validation: Participate in research on best practices to implement and integrate verification and validation methods for NWP models for application within the ATD environment. - System & Data Integration: Explore and design new processes to assist in the intelligent selection of meteorological data based on defined Chemical, Biological, Radiological, Nuclear, and high Explosive (CBRNE) scenarios. - Data Pipeline Management: Support the ingestion, quality checking, parsing, and storage of on-demand environmental data, including ocean, surface, and upper-air observations. - Software Development: Extend, improve, and develop software that bridges the gap between research and operations, and assist in the integration of software into DoW tools. - Operational Support: Provide subject matter expertise and technical assistance on the EDE system, including monitoring system status and recommending software or hardware enhancements to streamline operations. Qualifications - Master's degree and 6 years experience or a Ph.D. and 3 years experience in Atmospheric Science, Meteorology, Data Science, Computer Science, or a related physical sciences or engineering field. - Ability to obtain and maintain a DoW security clearance. Must be a U.S. Citizen. - Proven experience in developing and applying Artificial Intelligence and Machine Learning (AI/ML) models to complex scientific problems. - Strong background in numerical weather prediction (NWP), atmospheric modeling, or a related geophysical field. - Proficiency in programming languages such as Python, R, or Java, with experience using scientific computing libraries (e.g., NumPy, SciPy, Pandas) and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Experience handling and processing large scientific data formats like NetCDF, HDF5, and GRIB. - Familiarity with data assimilation techniques and ensemble forecasting methods. - Strong analytical and problem-solving skills, with a demonstrated ability to conduct independent research and develop innovative solutions. Preferred Qualifications - Experience with atmospheric transport and dispersion (ATD) models (e.g., HPAC, SCIPUFF). - Familiarity with DoD cybersecurity practices and information assurance standards. - Experience working in a Linux/Unix environment. - Knowledge of space weather and its impact on terrestrial systems. - Experience with deploying and maintaining operational scientific models or software. Pay Range Pay Range $107,900.00 - $195,050.00. The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.