Collect and compile environmental data from samples of water, sludge, and other matrices for analysis
Study water cycles and determine influence of weather and other environmental forces
Maintain quality control standards and procedures for accurate and precise measurements
Assist with performing basic professional water resources engineering work relating to water supply/quality/management, stormwater facilities, irrigation facilities, culverts, hydrology, open channel hydraulics, bridge hydraulics, floodplain modeling/mapping, hydrologic/hydraulic modeling, canal development, river/stream/habitat restoration and fish passage, waste disposal, pollution control and treatment
Verify site characteristics and provide entry-level technical assistance on various environmental issues
Requirements
Bachelor’s Degree in Civil or Environmental Engineering, with a focus in Water Resources or closely related discipline
Nice to have: Engineer in Training Certification
Nice to have: prior internship related to the degree of study and the specific engineering discipline
Nice to have: membership in local professional practice organizations
Lead enterprise procurement risk, audit, and compliance strategy, translating priorities into effective governance, controls, and assurance plans.
Compensation
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position.
Responsibilities
Lead the enterprise procurement risk, audit, and compliance strategy
Establish a procurement risk-management framework
Lead the integration of Future-State AI tools
Drive the PRAC 2026-2028 capability roadmap
Implement continuous AI-led monitoring
Requirements
Bachelor’s degree in business, supply chain, finance, accounting, law, risk management, or a related field
Lead the enterprise procurement risk, audit, and compliance strategy, translating priorities into effective governance, controls, and assurance plans.
Responsibilities
Lead the enterprise procurement risk, audit, and compliance strategy, translating priorities into effective governance, controls, and assurance plans.
Establish a procurement risk-management framework covering identification, assessment, mitigation, monitoring, escalation, and reporting.
Lead the integration of Future-State AI tools (AI Risk Intelligence, Predictive Models, Monitoring Agents, and Copilot-Enabled Insights) to automate and optimize risk and compliance functions.
Drive the PRAC 2026-2028 capability roadmap, shifting functional maturity from foundational monitoring to an “Anticipate & Orchestrate” (Risk), “Automate & Optimize” (Audit), and “Predict & Prevent” (Compliance) state.
Implement continuous AI-led monitoring to shift compliance controls from detective to preventive, reducing recurring issues and enabling early identification of compliance weaknesses.
Requirements
Bachelor’s degree in business, supply chain, finance, accounting, law, risk management, or a related field; advanced degree preferred.
Lead the enterprise procurement risk, audit, and compliance strategy, translating priorities into effective governance, controls, and assurance plans.
Establish a procurement risk-management framework covering identification, assessment, mitigation, monitoring, escalation, and reporting.
Lead the integration of Future-State AI tools (AI Risk Intelligence, Predictive Models, Monitoring Agents, and Copilot-Enabled Insights) to automate and optimize risk and compliance functions.
Drive the PRAC 2026-2028 capability roadmap, shifting functional maturity from foundational monitoring to an “Anticipate & Orchestrate” (Risk), “Automate & Optimize” (Audit), and “Predict & Prevent” (Compliance) state.
Implement continuous AI-led monitoring to shift compliance controls from detective to preventive, reducing recurring issues and enabling early identification of compliance weaknesses.
Develop and maintain analytical workflows for multivariate process monitoring, predictive modeling, and anomaly detection on high-dimensional process data, building AI-enabled tooling and data systems.
Compensation
The annual base pay (or hourly rate of compensation) for this position ranges from $101,643.20 - $152,464.80.
Responsibilities
Support statistical analysis for comparability assessments (site transfers, significant process changes), process characterization, and control strategy development for cell therapy programs
Apply rigorous statistical frameworks (equivalence testing, process capability analysis, variance component analysis, tolerance intervals) to evaluate drug product quality and support defensible regulatory narratives
Design and analyze DOE studies for process characterization and LVV manufacturing, including risk-based parameter selection and interaction modeling
Support process and product characterization for early development activities
Develop and maintain process monitoring workflows for pivotal and commercial manufacturing, including statistical control charts, alert/action limits, and trend detection
Perform professional mechanical engineering work and conduct research and inspections of proposed and existing site conditions, equipment, resources, building, infrastructure, usage, and mechanical systems to determine conformance with applicable rules, standards, and construction or operating permits.
Responsibilities
Perform professional mechanical engineering work and conduct research and inspections of proposed and existing site conditions, equipment, resources, building, infrastructure, usage, and mechanical systems to determine conformance with applicable rules, standards, and construction or operating permits.
Assist with the research, design, concept development, planning, installation, operation, maintenance, and optimal integration of automatic temperature control, air distribution, hydronic, and plumbing systems, equipment and processes.
Generate accurate and concise reports and documentation regarding installation, construction, and operation specifications.
Collect, compile, and analyze data from the physical work site, surveys, blueprints, schematics, data, technical drawings, computer-generated reports, and other matrices for project development, design, and construction.
Participate in incorporating advanced technology, modeling techniques, concept development, design requirements, load calculations, and operating strategies to account for the proper installation and functioning of equipment and systems according to specifications.
Provide local technical assistance for water resources engineering projects, including data collection, analysis, documentation, and compliance with environmental regulations.
Collect and compile environmental data from samples of water, sludge, and other matrices for analysis
Study water cycles and determine influence of weather and other environmental forces
Maintain quality control standards and procedures for accurate measurements
Assist with basic professional water resources engineering work relating to water supply, stormwater facilities, irrigation, culverts, hydrology, hydraulics, floodplain modeling, habitat restoration, pollution control and treatment
Verify site characteristics and provide entry-level technical assistance on environmental issues
Requirements
Bachelor’s Degree in Civil or Environmental Engineering, with a focus in Water Resources or closely related discipline
Nice to have: Engineer in Training Certification
Nice to have: prior internship related to the degree of study and the specific engineering discipline
Nice to have: membership in local professional practice organizations
As our Life Underwriting Auditor, you will bridge the gap between automated data workflows and traditional underwriting, ensuring our real-time decisions stay accurate and high quality as our models evolve.
The Data Science Extern will help BetterHelp scale its impact by using data to drive insight into product and business, involving data wrangling, post-hoc analysis, and machine learning modeling.
Compensation
The base salary range for this position is $40 - $60/hr.
Responsibilities
Engage in the refinement and enhancement of language models, including fine-tuning and retraining.
Collaborate with product and development teams to conceptualize and design machine learning models and algorithms.
Work closely with product managers to implement strategies to elevate product functionality and user experience.
Handle extensive text data and derive insights from large datasets.
Develop and maintain production-ready code.
Requirements
Currently enrolled in or recently graduated from a PhD program in a quantitative discipline such as Computer Science/Engineering, Statistics, Mathematics, Operations Research, or Engineering
Base pay for this role is determined by the location where the work will be performed and is aligned with the two compensation tiers, as indicated below. Base pay may vary depending on job-related knowledge, skills, experience, and business needs. In addition to the base pay range listed below, this role is also eligible for equity and benefits as shared above. Tier 2 & Tier 3 (All other locations that Ladder hires with eh exception of San Francisco and New York) $100,800- $125,700
Responsibilities
Conduct underwriting audits and case reviews to ensure accuracy, quality, and adherence to guidelines.
Review all data to assess mortality and risk probability. Determine rating class, terms, and conditions based on established rules, rates, and guidelines.
Analyze medical, personal, and financial data from both traditional and innovative data sources to make final, case-by-case decisions on individual applications, with a delegation of authority of up to $8 million.
Perform complex case reviews and review accelerated underwriting decisions, including cases flagged by automated engines and rule knockouts.
Evaluate automated underwriting engine outputs, data inputs, and predictive models. Update audit reviews as these models evolve, and recognize gaps in rules that lead to actionable updates.
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