Assist with hockey camp duties including on-ice and off-ice supervision, team coaching, classroom instruction, and first aid responsibilities while ensuring a safe and engaging environment for youth participants.

Labcorp is seeking a US Remote Based Variant Scientist II to join Invitae’s clinical genomics team! Work Schedule: Sunday-Thursday OR Tuesday-Saturday 8am-5pm (local time zone) Job Responsibilities: - Up to 75% of your time performing variant interpretation (aka variant curation) using our validated in-house genetic evidence system to generate clear and concise clinical reports - Critically analyze and interpret clinical and genetic information, including published literature, public and private databases, functional studies and modeling, as well as patient clinical records - Develop, curate, and refine genetic content for a broad range of genetic disorders to support our operations and clinical offerings - Achieve and maintain technical and clinical competency through initial and ongoing training in a fast-paced and dynamic environment - Receive and provide case-related and performance-related feedback in a direct and supportive setting - Other duties as assigned Minimum Qualifications: - Ph.D. in Life Sciences, Genetics, Molecular Genetics or Human Genetics with 6 months or more variant interpretation experience OR Master's degree in Genetic Counseling, biological sciences, molecular genetics, human genetics or a related field with 2 or more years of variant interpretation experience OR Bachelor's degree in Genetics, biological sciences, molecular genetics, human genetics or related field with 3 or more years of variant interpretation experience ​Preferred Qualifications: - 1 or more years’ experience in a CLIA diagnostic laboratory - 1 or more years’ experience with next-generation sequencing, genetic variant curation, and interpretation of clinical relevance - 1 or more years’ experience with advanced methods of copy number detection and copy number variant interpretation - 1 or more years’ experience in one or more of the following areas: oncology, cardiology, neurology, carrier screening, metabolic disorders and pediatric diagnostics, cytogenomics and/or exome analysis Additional Job Standards: - Excellent written, verbal, and interpersonal communication skills - Ability to adapt to significant change that is inherent in development and innovation - Desire to work in and contribute to a fast-paced, highly collaborative environment - Demonstrated ability to understand, synthesize, and coherently evaluate complex genetic information. - A sense of curiosity, strong collaborative spirit, and a willingness to learn Application Window Closes: 4/21/26 **Salary Range: $98,000 - $150,000 / year All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please  click here.  Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

Company Description About Nearmap Property intelligence is reshaping how the world understands the built environment, and Nearmap is driving that. We put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern the places we all live and work. Our technology turns property uncertainty into decisive action, and our culture brings out the best in the people who build it. We move fast, we care about craft, and we're proud of what we're building. If you're energized by turning hard problems into real-world impact, we'd love to meet you. Job Description About the Role Location: Fully remote within the continental United States. The Insurance GTM team is helping our customers and prospects solve critical problems within their Rating, Underwriting and Claims workflows. Our Solutions Engineering team serves as the technical counterparts to the Account Executives. Through this partnership, this role will help to understand a customer’s current challenges and desired outcomes through deep discovery and technical understanding. The Pre-Sales Data Scientist will help insurance companies unlock the value of Nearmap's AI-driven data within their pricing, underwriting, modeling, and regulatory workflows through direct engagement with Nearmap customers as they scope, execute and analyze large scale data tests to measure this value. This role’s key responsibility will be aligning customer data tests to the Nearmap suite of data and software products. You will work closely with customers and prospects to develop success criteria, desired outcomes, and evaluation criteria, this role requires someone with deep technical understanding of data science applications in insurance as well as strong communication skills for client-facing actuarial consultation. This role will also have dotted line reporting to our Insurance AI team to continue the development and enhancements of our modelling for rating, pricing, underwriting and state filings. This is a high-impact role at the intersection of cutting-edge AI and insurance transformation: - Customer impact: Direct influence on carrier decisions worth millions in premiums - Breadth of exposure: Working across multiple carriers and use cases rather than deep in one company - Consulting-style variety: New problems, new datasets, new stakeholders - Technical growth: Exposure to cutting-edge geospatial AI applications in insurance Key Responsibilities - Pre-Sale Support: Work closely with prospects & customers to understand their data needs and desired outcomes. - Data Test/POC: Develop and enhance Nearmap’s current POC process to align on requirements, outcomes and success criteria - Actuarial Support: Serve as technical liaison to actuaries, data scientists, and pricing teams at insurance companies, supporting their testing, integration, and use of Nearmap data in pricing, underwriting, filings, and retro tests. - Regulatory support: support customers with their regulatory needs related to using Nearmap AI in rating including drafting objection responses and exhibits documenting Nearmap AI methodology. - Validation: Conduct detailed validation studies, sensitivity analyses, and scenario testing to demonstrate the accuracy, reliability, and business value of Nearmap models across insurance use cases. - Develop customer-facing materials, presentations, and quantitative analyses to help insurers understand and incorporate Nearmap data into their actuarial and pricing workflows. - Cultivate deep knowledge of Nearmap’s data and leverage it to support continual improvement of our models.  Compliance with Nearmap values, policies and standards, and ensure compliance with all local statutory requirements. - Complies with all local legislative requirements. - Adheres to company guidelines and the corporate Code of Conduct. - Where appropriate keeps up to date with legislative requirements. - Acts in an ethical way when dealing with company assets and other people. Qualifications Experience - Deep understanding of Rating, Underwriting, Claims and Portfolio Management within the P&C carrier space. - Customer facing experience with revenue responsibilities. - 5+ years in P&C insurance in data science, actuarial or pricing analytics roles, with demonstrated experience translating technical findings into business recommendations for senior stakeholders. Skills Domain Knowledge – property/casualty insurance pricing, rating and regulatory requirements: Experience and comfort building insurance pricing models using property data following traditional actuarial methods (e.g., GLMs); familiarity with regulatory requirements for property/casualty insurance rating models and fluency with related statistical concepts (e.g., variable selection, overfitting, fairness testing, gini, lift, AUC, cross validation, sensitivity analysis, etc.). This includes: - Experience designing and executing retrospective testing studies (retro tests) - Familiarity with actuarial validation frameworks and credibility testing - Ability to work with large property databases and claims histories - Understanding of GLM interpretation in insurance context (not just building them) Data Science and Machine Learning: Strong grasp of data science fundamentals (data analysis, feature engineering, modelling frameworks, model validation, confidence intervals, etc.), and facility at data extraction and manipulation using SQL, APIs and Python. Experience with both traditional actuarial methods (GLMs) and tree-based models (GBMs, random forests, XGBoost) for insurance applications, with understanding of when each approach is appropriate for regulatory and business contexts. Customer First Mentality/Problem Solver: Working closely with customers to deliver an exceptional experience throughout their engagement with Nearmap. Communication: Excellent communication skills and experience in client-facing roles, with the ability to translate technical findings into measurable and actionable insights for insurance customers. Highly desirable: Domain Knowledge – Geospatial Data: working with imagery and/or geospatial data science problems and related technical libraries such as GeoPandas Personal Attributes: - Pragmatism: While extensive knowledge of statistical theory is highly valued, pragmatism wins over elaborate theory when it comes to shipping products that work. - Collaboration: We believe data science is a team sport, and are after candidates who can communicate well, share knowledge, and be open to taking on ideas from anyone in the team. - Technical Skills: A decent base of python is key to a role in the team. Other than that, we're pretty flexible - we know tools are changing rapidly, and will continue to do so for many years to come. - Attention to detail: Showing attention to detail when it counts is important. Possesses an analytical mind and a strong nose for data issues. - Organization: Updates tasks in Jira and keeps good notes. - Complies with responsibilities of working for a private company. Additional Information Why you'll love working at Nearmap: We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves. Nearmap offers: - 4 extra "YOU" days off each year - take a break, no questions asked! - Company-sponsored volunteering days to give back. - Generous parental leave policies for growing families. - Work from Overseas Policy - explore the world in the approved list of cities while you work! - Discounted Private Health Insurance plans. - Monthly wellbeing and technology allowance. - A Nearmap subscription (naturally!). Learn More About The Work We Do: YouTube Page LinkedIn Page Thanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. Nearmap is not responsible for any fees related to unsolicited resumes.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team We're looking for talented candidates who can push the boundaries of our existing models and help design state-of-the-art solutions to GTM challenges that accelerate revenue growth and improve commercial efficiency. In this role, you'll partner closely with Product, Growth, and Commercial teams to shape and build the next-generation data science foundation at Airwallex. This role is ideal for someone who takes meaningful ownership from day one-someone who digs deeply into data to understand why outcomes change (not just what changed), balancing analytical rigor with speed and business context-and then leverages AI to translate those insights into scalable models and solid data foundations. What you will do - Translate complexity into action: Turn complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences. - Uncover and scale revenue insights: Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metrics-and operationalize these learnings into repeatable workflows, automated pipelines, and scalable data science operating models. - Build revenue forecasting and performance insights: Develop and own revenue forecasting and forward-looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning), providing a reliable "source of truth" that helps teams make faster, better commercial decisions. - Apply advanced causal inference: Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible. - Embed AI into commercial workflows: Design and deploy AI-enabled solutions across the sales and customer lifecycle-enhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction-based customer insights to drive retention and expansion. Who you are - 3+ years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or a related discipline). - Strong analytical intuition and structured problem-solving-you ask the right questions, explore data thoughtfully, and synthesize clear, defensible conclusions. - Excellent communicator and storyteller-able to translate technical work into crisp, actionable recommendations for both technical and non-technical stakeholders, including executives. - Deep curiosity about GTM performance and customer behavior-you go beyond "what happened" to understand "why it happened," while staying pragmatic and focused on impact. - Strong foundations in causal inference and forecasting, with experience applying methods such as DiD, synthetic control, and modern ML-based approaches to real business problems. - High fluency in analytics tooling-strong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation. Nice to have - Experience with Databricks or similar cloud data platforms / warehouses. - Familiarity with Hex or other notebook-based analysis tools. - Experience in a high-growth startup and/or B2B business models (e.g., pipeline, CRM, RevOps data). Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. #BI-Hybrid