Role Description We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions. Key Responsibilities - Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications. - Conduct rigorous analysis and validation of machine learning algorithms and prototypes. - Explore novel methods for processing and analyzing large, complex medical imaging datasets. - Collaborate with engineering teams to deploy ML algorithms in clinical practice. - Present research findings, insights, and recommendations to internal stakeholders and external collaborators. - Author scientific publications and contribute to patent development. - Manage collaborative research projects with leading academic partners. Qualifications - D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience. - Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning. - Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection. - Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis, MIDL etc.). - Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results. - Ability to translate complex clinical requirements into machine learning solutions. - Strong critical thinking, problem-solving, and project management skills. - Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. Preferred Qualifications - 2+ years of postdoctoral research or industry experience. - Hands-on experience with developing and fine-tuning large foundation models. - Hands-on experience with developing multimodal machine learning algorithms. - Hands-on experience in developing and applying advanced deep learning models, including stable diffusion, vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques. - Strong domain knowledge in CT imaging and its clinical applications. Compensation - Base Salary: $186,000 - $212,000 - Total Target Compensation (TTC): $214,000 - $245,000 - This role is eligible for a 15% target annual bonus. - Final compensation is determined based on location, experience, skills, and internal equity. Core Values - H: Humility - be a servant leader - E: Excellence - deliver world-changing results - A: Accountability - do what you say; expect the same from others - R: Remarkable - inspire & innovate with impact - T: Teamwork - together we win Equal Opportunity Employer Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy ( https://cleerlyhealth.com/privacy-policy ). All official emails will come from @cleerlyhealth.com email accounts.

Role Description The intern will be supervised by a senior HDRO staff and work closely with the research team on the preparation of the Human Development Reports and related products and engagements. In particular, they are expected to deliver the following tasks: - Provide assistance for quantitative and qualitative background research for the 2026 Human Development Report, including data analysis and compilations of charts and tables. - Undertake literature reviews. - Write short research notes. - Review and verification of statistical materials for the report. - Support the team in analysis and presentation of human development statistics. - Assist in identification of data sources and preparation of datasets. - Assist in fact checking and proof reading. - Support research partnership engagements, including developing concept notes and background materials as well as tracking key actions points and follow-up. - Support the development of high-impact communications materials for the Human Development Reports and related products. - Support and participate in other activities as requested, including providing logistical support to various events organized by HDRO such as team meetings, research seminars, consultations, workshops, and side events. Qualifications - Currently enrolled in a Master’s or Ph.D. Program or those completing a Master’s or in the last year of their Bachelor’s and to recent graduates (up to one year post-graduation), with a major in demography, economics, development studies, public policy or relevant social science subjects. - Experience working with an international organization or NGO that shares the mission and values of UNDP is highly desired. - Excellent written and verbal communication skills; ability to collaborate with multidisciplinary and multicultural teams. - Familiarity with the Human Development concept. - Experience with and knowledge of statistical software or open source programming tools is an asset. Requirements - Familiarity with human development concepts, measurements and international development issues. - Quantitative data analysis skills, using a wide variety of statistical software or open source programming tools is desirable. - Proven research and writing skills, with track records in producing research or communications products on development topics. - Strong service orientation and teamwork skills, with the ability to work in a fast-paced, multicultural environment. - Demonstrated enthusiasm and commitment to continuous learning. Benefits - Interns may be given a stipend according to UNDP Internship Policy, if it is not financially supported by any institution or programme. - The stipend will be paid on a monthly basis and part-time internship arrangements are prorated accordingly. - Interns are responsible for securing adequate medical insurance for the duration of the internship. - Interns are expected to work full time, either in person or remotely, but flexibility is allowed for education programmes. - Interns are responsible for obtaining the necessary visas and arranging travel to and from the duty station where the internship will be performed. - Interns will be evaluated at the end of the contract. - Interns are responsible for providing their own laptops. Company Description The mission of the Human Development Report Office (HDRO) is to advance human development. The goal is to contribute towards the expansion of people’s opportunities, choice, and freedom. HDRO works towards this goal by promoting innovative new ideas, advocating practical policy changes, and constructively challenging policies and approaches that constrain human development. - HDRO's internship programme is designed to develop emerging talent interested in the Human Development approach and global development challenges. - HDRO is uniquely positioned within the UN system as an independent research office that combines the credibility and convening power of the United Nations. - HDRO’s pioneering metrics, not least the Human Development Index, have become a global standard setter in measuring development progress.

Title: Epidemiologist Location: Chandler United States Job Description: Epidemiologist, Decision Resources LLC d/b/a Clarivate Analytics (US) LLC, Ann Arbor, MI Duties: - Conduct research using online grey literature datasets such as National Health and Nutrition Examination Survey (NHANES), HCUP, cancer registries, government survey data, and other resources to summarize current information on prevalence. - Forecast numbers (via analyses) for a variety of diseases; and suggest use of proxy data sources or develop imputation or extrapolation models when country-specific sources are not available. - Assist with other programs and units within Company, for instance, by helping to maintain and enhance a sources database and by contributing to new products and proprietary consulting projects globally. - Conduct literature reviews to support ad-hoc requests from clients for custom or managed service projects. - Support the Epi Production team including in uploading, aligning, and publishing syndicated epidemiology reports on the Insights Platform (or platform used by Company for displaying results to clients). - Collaborate with Clarivate Disease or Therapy Experts to develop methodology strategies as needed. Requirements: - Master's degree in Epidemiology, Public Health, Biostatistics, or a related field plus minimum 3 years of related experience. - Must have 2 years of experience in an epidemiologist, public health, or biostatistics-related role. - Must have 2 years of experience conducting systematic literature review of grey literature. - Must have 3 years of experience with MS Office including MS Word, Power Point, and Excel. - Must have 2 years of experience with epidemiology methodology, forecasting the incidence and prevalence of various disease states including survival analysis and risk-factor based modelling. - Must have 2 years of experience analyzing large datasets including NHANES and HCUP. - Must have 2 years of experience with external clients, customer interactions, and delivering presentations to external clients or customers. - Must have 2 years of experience conducting SAS analysis and utilizing SAS statistical software. - Related experience must include working in private consulting companies, clinical research organizations (CROs) or pharmaceutical support research companies; alternatively, the employer will accept experience in a government setting in the statistics or epidemiology analysis department. - Must have experience utilizing advanced excel functions. Must have experience with real-world data (RWD) research. - Must have good written and verbal communication skills in English. Position is fully remote. #LI-DNI At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Role Description Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course. Qualifications - We’re proud to be an Equal Opportunity and Affirmative Action Employer. - We particularly welcome applicants from traditionally underrepresented groups. - We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application. Requirements - If you require any adjustments or accommodations due to a disability, or any other reason that may help you in your interview process, please let us know by emailing careers@mimecast.com. - Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. - It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.