Role Description As an Applied Scientist, you will design and prototype AI/ML methods that improve data quality, scale human judgement, and support robust AI evaluation workflows. You will work on applied problems such as: - Quality modelling - Judgement aggregation - Evaluation design - LLM-assisted review - Reliability testing for AI systems Ideal for someone with deep scientific judgement, strong applied ML skills, and a practical bias toward methods that work in real customer and product contexts. This is not a pure research role or a production ML engineering role. You will turn ambiguous problems into clear methodologies, benchmarks, models, and prototypes that product and engineering teams can adopt. What You'll Be Doing: - Prototype AI/ML methods to improve human data quality, judgement aggregation, and AI evaluation workflows. - Design experiments, benchmarks, and reliability tests to measure whether new methods improve quality, efficiency, or customer outcomes. - Apply classical ML, statistics, LLMs, and agentic techniques where they create practical value. - Use modern AI tools to accelerate prototyping, experimentation, and iteration. - Partner closely with product and engineering to translate scientific methods into scalable platform capabilities. - Communicate technical assumptions, trade-offs, and recommendations clearly across technical and non-technical teams. Qualifications - PhD or MSc in Computer Science, Mathematics, Statistics, Machine Learning, or a related field. - 3+ years of applied ML, AI research, or data science experience with demonstrated real-world impact. - Experience with human-in-the-loop AI systems, including RLHF, annotation pipelines, data quality modelling, judgement aggregation, benchmarks, or AI evaluation. - Fluency with modern LLM and agentic techniques, such as Retrieval-Augmented Generation (RAG), LLM-as-judge, multi-agent workflows, synthetic data generation, and automated quality review. - Strong Python skills and the ability to quickly build, test, and iterate on working prototypes. - Good judgement on when to use simple statistical methods, classical ML, LLMs, or agentic approaches. - Ability to translate ambiguous product or customer problems into clear hypotheses, experiments, metrics, and reusable methodologies. - Strong cross-functional communication and experience partnering with product and engineering teams. Benefits - Competitive salary - Remote working - Impactful, mission-driven culture

• Design and implement de novo data collection studies (retrospective, prospective, and/or cross-sectional), primarily for pregnancy safety studies • Conceptualize advanced study designs, supervise the development of study protocols, study reports, and other scientific deliverables • Review statistical analysis plans • Ensure project completion and quality delivery • Work closely with other scientists, oversight directors, project leads, biostatisticians, and programmers • Lead interactions with clients in the pharmaceutical and medical device industries • Review and finalize project deliverables ensuring validity and reliability of study findings • Oversee budget, deliverables, and project timelines; identify scope expansion and need for amendments • Contribute to thought leadership, such as abstracts and manuscripts as co-author and, when possible, first author • Serve as a consultant to other principal investigators or staff on other projects • Guide and mentor staff across multiple levels • Participate in proposals, design conceptual approaches for proposals, supervise and mentor junior staff, contribute to business development, and identify and pursue business opportunities within Evidera/PPD

Role Description We have an exciting opportunity for a Research Scientist III – QA-QC at UL Research Institutes. This is a remote-based opportunity. The Research Scientist III works with data, develops preliminary findings, and prepares written reports and data visualizations that support the research of the Fire Safety Research Institute (FSRI). The Research Scientist III works closely with other FSRI leaders and researchers to analyze data and develop models associated with fire safety science to ensure all processes are accurate and technically sound. As the Research Scientist III, you will play a key role in the rapid growth of UL as you: - Identify fundamental knowledge needed to enhance UL’s thought leadership and support the strategy of UL. - Apply intensive and diverse knowledge of engineering technology and systems engineering concepts to the specific research tasks. - Exercise a high degree of judgment in formulating, evaluating, and correlating broad engineering research concepts. - Guide the analysis of unique problems and develop new and improved techniques and methods. - Analyze emergency response data to determine trends and develop solutions. - Experience developing automated test datasets and repeatable frameworks, data quality checks, and validation scripts. - Ensure data quality, lineage, and governance compliance using enterprise catalog tools. - Stay ahead of changing technologies by reading journals and scientific publications, and attending academic conferences. - Plan, design, and complete initial and follow-up tests as needed to validate results. - Work with students and teams. - Present research results internally or externally as needed. - Perform other duties as directed. Qualifications - Experience with ETL/ELT tools and modern data pipeline architectures. - Experience with data validation, cleansing, and quality assurance methodologies. - Experience testing and troubleshooting data pipelines, data integrations, and data transformation processes. - Experience developing automated data quality checks and validation scripts. - Excellent communication skills required. - Demonstrated experience with cloud-based data platforms and analytics environments (AWS, Snowflake, Dash). - Ability to collaborate with peers and work directly with Research Scientists and other team members in order to complete a project from start to finish. - Ability to serve as lead author on reports and papers. Requirements - Bachelor’s degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field plus 8 or more years of directly related work experience. - Master’s degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field plus 4 or more years of directly related work experience. - PhD in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field or equivalent experience plus 2 or more years of directly related work experience. Benefits - All employees at UL Research Institutes are eligible for bonus compensation. - Comprehensive medical, dental, vision, and life insurance plans. - Generous 401k matching structure of up to 5% of eligible pay. - Investment of an additional 4% into your retirement saving fund after your first year of continuous employment. - Flexible working arrangements may be discussed with your manager. - Paid time off, including vacation, holiday, sick, and volunteer days. Salary Range $89,602.01-$123,202.76 Pay Type: Salary

Role Description Parsons is looking for a highly experienced Principal Research Scientist to join our team! In this role you will get to work with other scientists and engineers to research and develop radiation transport models. What You'll Be Doing: - Work with a team of scientists and engineers to improve and add new capabilities to atmospheric radiative transfer model for an advanced multi-physics model. - Document and present work to team members and others in the modeling community. - Keep current with new developments in numerical methods and advances in the field of radiative transfer and remote sensing. Qualifications - 20+ years of experience in scientific modeling and analysis. - Extensive research experience in atmospheric radiative transfer (thermal/optical), including peer-reviewed publications. - Expert knowledge of Monte Carlo atmospheric scattering models. - Ability to work independently and also work well with others in a team environment. - Excellent verbal and written communication skills. - Ph.D. in engineering or scientific discipline. Requirements - An active Secret security clearance is required for this position. Desired Skills - Experience coding in Fortran (both legacy and modern). - Experience mentoring other scientists/engineers. Benefits - Medical, dental, and vision insurance. - Paid time off. - 401(k) plan. - Life insurance. - Flexible work schedules. - Holidays to fit your busy lifestyle. Salary Range $60.14 - $108.27