• Research real estate agencies across Australia using Google, agency websites, LinkedIn, online directories, and other publicly available sources. This may also include contacting agencies to obtain or verify publicly available contact information. • Identify and source accurate contact details for key decision-makers, including business owners, principals, directors, office managers, department heads, and other relevant contacts. • Accurately enter and maintain agency and contact information in HubSpot/CRM, ensuring records are complete, consistent, and free of duplicate entries. • Record key agency information, including agency name, contact person's name, job title, email address, phone number (where available), website, and location. • Ensure all contact information is sourced from legitimate, publicly available sources and follows the provided research and CRM processes. • Performance Expectations: Consistently source and accurately enter approximately 15 to 30 high-quality agency records per hour, while prioritizing accuracy and completeness over speed. The initial goal is to build a database of approximately 10,000 real estate agency contacts. • Quality Standards: Ensure all contacts are relevant to real estate agencies and sourced from legitimate, publicly available sources. Do not use purchased or low-quality email lists, guessed or fake email addresses, or create duplicate records. Follow the provided research process and maintain accurate, up-to-date CRM records at all times.

Role Description Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. - Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. - Routinely build and deploy ML models on available data, and run and analyze experiments in a production environment. - Identify new opportunities for research in order to meet business goals. - Research and implement novel ML and statistical approaches to add value to the business. - Mentor junior engineers and scientists. - Telecommuting may be permitted. Qualifications - Master’s degree or foreign equivalent in Computer Science, Machine Learning, Engineering, or a related field and two years of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. - Employer will accept a Bachelor’s degree or foreign equivalent in Computer Science, Machine Learning, Engineering, or a related field and five years of research or work experience in the job offered or a related occupation as equivalent to the Master’s degree and two years of research or work experience. - Must have one year of research or work experience in the following skill(s): programming in Java, C++, Python, or equivalent programming language; and conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering. - Telecommuting may be permitted. Requirements - The base pay range for this position in New York City is USD $183800 - $248700 (yr). - Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. - A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. - Applicants should apply via Amazon's internal or external careers site. Preferred Qualifications - Master’s degree or foreign equivalent in Computer Science, Machine Learning, Engineering, or a related field and two years of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. - Employer will accept a Bachelor’s degree or foreign equivalent in Computer Science, Machine Learning, Engineering, or a related field and five years of research or work experience in the job offered or a related occupation as equivalent to the Master’s degree and two years of research or work experience. - Must have one year of research or work experience in the following skill(s): programming in Java, C++, Python, or equivalent programming language; and conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering. - Telecommuting may be permitted. Benefits - A sign-on payment and restricted stock units may be provided as part of the compensation package. - A full range of medical, financial, or other benefits, dependent on the position offered.

• Collaborate with passionate problem solvers • Innovate as a team to help customers achieve their goals • Provide valuable benefits and a quality-of-life balance • Recognize our people by providing valuable benefits

Role Description As an Imaging Scientist II at ICON, you will lead the design, execution, and analysis of clinical trials involving medical imaging modalities, contributing to the advancement of innovative treatments and therapies. You will take responsibility for medical imaging deliverables, applying your skills to ensure quality and efficiency. Key responsibilities include: - Leading the development of imaging protocols and endpoints for clinical trials in collaboration with cross-functional teams - Supervising the acquisition, processing, and analysis of imaging data to ensure accuracy and quality - Interpreting complex imaging results and providing expert insights to support clinical trial decision-making - Ensuring compliance with regulatory requirements and industry standards for medical imaging in clinical research - Contributing to the development and validation of imaging biomarkers and methodologies for use in clinical trials Qualifications - Advanced degree (Master's or PhD) in a relevant field, such as medical imaging, biomedical engineering, or radiology - Extensive experience in medical image analysis, preferably in a clinical research setting - Proficiency in imaging software and tools, such as DICOM viewers and image analysis software - Strong leadership skills and ability to effectively manage and mentor junior team members - Excellent communication and collaboration abilities, with a proven track record of working in multidisciplinary teams Requirements - Employment with ICON is contingent upon having the legal right to work in the country where the role is based. Benefits - Competitive base salary and performance related incentives - Health and wellbeing programmes including medical, dental, and vision coverage where applicable - Retirement and pension plans - Life assurance and disability coverage - Employee assistance programmes and wellbeing resources - Learning and development opportunities through structured training and career pathways