Principal Environmental Scientist - Natural Resources Location: San Diego, CA Remote Full-time Job Description: Our Principal Scientist position can be performed remotely; however, the ideal candidate will be based in Southern California and bring strong California-specific regulatory and environmental expertise. As a key member of the leadership team, this role will be responsible for a wide range of activities including: - Leading complex environmental compliance projects from planning strategy through execution. - Working closely with clients and technical expert team and planners to solve problems and provide regulatory insight and risk-based guidance. - Collaborating with internal subject matter experts (biologists, archaeologists, GIS specialists, planners, regulatory specialists, and engineers) and external technical partners, protection agencies, and state or federal lead agencies. - Overseeing proposals and business development activities, including leading proposals, cost estimating, and interview execution. - QA/QC oversight of high-volume programs/projects. - Project staffing, budget and schedule management - Mentoring and developing staff, fostering technical excellence and professional growth. - Supporting business development and strategic growth initiatives alongside other Principals. - Maintaining compliance with all safety, confidentiality, and company policies. - Staying current on industry trends, regulations, and best practices through continuous professional development. - Working collaboratively with the core Principal team and working independently. - Perform other duties as assigned. YOUR EXPERTISE AND SKILLS The Principal Scientist is a recognized technical authority and strategic leader, responsible for regulatory certainty, project success, and long-term client trust. Required Qualifications: - Bachelor’s degree in biology, urban planning, environmental science, or related field. - Master’s degree preferred but not required. - Minimum of 15 years of relevant professional experience (12 years with a Master’s degree). - Experience with utilities and/or renewable energy projects strongly preferred. - Experience serving as senior regulatory liaison with permitting agencies preferred. - Knowledge of current environmental compliance and city/state development regulations. - Strong familiarity with California natural resources and impact analyses/assessments. - Experience leading the regulatory permitting process, including experience working with the USACE, USFWS, BLM, USFS, CDFW, and RWQCB. - Proven ability to operate independently while leading multidisciplinary technical teams. - Experience as a people manager providing mentorship to elevate the skillsets of staff and provide career growth opportunities. - Proven success leading proposals and competitive pursuits. - Excellent written communication skills, ability to write and oversee complex technical documents, memorandum, or reports. - Experience leading projects/programs and working in dynamic, collaborative environments that require flexibility in assuming new roles and changing project directions. - Advanced proficiency with Microsoft Office; working knowledge of tools such as ArcGIS and AutoCAD preferred. - Willingness and ability to travel locally as needed.

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