Research Scientist I - Agronomical Data Who We Are + What We Do The Land Institute co-leads the global movement for perennial, diverse, regenerative grain agriculture at a scale that matches the enormity of the intertwined climate, water, and food security crises. An independent 501c3 non-profit founded in 1976, the organization seeks to reconcile the human economy with nature's economy, starting with food. The transdisciplinary team of scientists, together with global partners, are developing new perennial grain crops, like Kernza©, and diverse cropping systems that function within nature's limits while researching the social transformation required for a just, perennial human future. How You’d Fit In + Stand Out We are seeking a highly motivated Research Scientist I in Agronomical Data Science to support a growing network of perennial groundcover research trials. This role sits at the intersection of agronomy, data science, and systems modeling and will play a critical role in advancing both the operational efficiency and scientific impact of our research program. The successful candidate will work closely with researchers, graduate students, and collaborators to improve data workflows, deploy and refine analytical tools, and generate insights that inform the scalability of perennial groundcover systems. This position will directly contribute to advancing perennial groundcover systems as a scalable solution for improving soil health, reducing erosion, and enhancing agricultural sustainability. The Agronomical Data Scientist will help connect field-scale research with data-driven insights that inform real-world adoption. Primary Responsibilities + Expectations - Image Analysis and Model Deployment: Refine, validate, and deploy image analysis models to quantify groundcover intensity across diverse field environments. Process and manage large image datasets from multiple research locations. Improve model performance across varying lighting conditions, crop stages, and species compositions. Collaborate with researchers to ensure outputs align with agronomic measurements and experimental needs. - Data Management and Research Support: Assist researchers and graduate students in structuring, cleaning, and standardizing datasets. Develop and maintain data storage workflows and documentation for multi-site trials. Support the implementation of shared data management systems across collaborators. Ensure data integrity, reproducibility, and accessibility. - Modeling and Systems Analysis: Develop models to evaluate the scalability and limitations of perennial groundcover systems. Analyze interactions between management practices, environmental conditions, and system performance. Contribute to scenario modeling that informs best management practices and adoption potential. Translate complex analyses into clear and actionable insights for researchers and stakeholders. - Research, Data Synthesis & Writing: Provide support on data conclusions and next steps for new research implementation. Support program lead in developing, implementing, and publishing research projects. Assisting with grant writing to initiate new projects and external collaborations. Provide data management support. Assist with data analysis Organizational Competencies - Mission Driven: You are passionate about the mission of The Land Institute and are interested in aligning your skills and personal genius to benefit this work. - Courageous: You do not retreat or shy away from hard things. You face challenges and conflict with professionalism, grace, and resolve. - A Boundary Spanner: You bring an interdisciplinary skill set, and you model self-awareness in your own preferences. You are motivated to always be learning, and you adapt to span boundaries with people across a range of different perspectives. - Inspiring and Inspired: You are inspired by the people around you, finding and harnessing the genius in your colleagues to meet the organizational objectives, and you are inspiring others through example and your own genius applied. - Growth Mindset: You have the vulnerability to know what you don’t know, admit your flaws, and learn from others to grow and develop yourself and the organization. - A Creative Collaborator: You believe in the power of a diverse collective to generate ideas and solutions. You excel at strategic thinking, being open to new perspectives, and managing innovation. You bring a playful, positive approach to the work and like meeting new people and deepening connections with those you already know. - Excited by change: You embrace nascent and evolving situations and enjoy engaging new people, ideas, and possibilities. You think about change holistically: internal, external, organizational, and cultural. You like iterating systems, building efficiency, and operationalizing design. You are willing to jump in and contribute to new projects as needed. Who you are - Master’s level degree or equivalent experience in data science, agronomy, or related fields. - Strong programming skills, such as Python or R - Experience with image analysis or computer vision applications - Experience working with agricultural or biological datasets - Demonstrated ability to manage and organize complex datasets - Experience with machine learning frameworks such as TensorFlow or PyTorch - Familiarity with field-based agricultural research and experimental design - Experience working in collaborative, multi-institutional research environments - Knowledge of crop systems, especially perennial or conservation-based systems - Experience with geospatial data or environmental modeling - Strong problem-solving and analytical thinking - Ability to work independently while collaborating across disciplines - Clear communication of technical concepts to diverse audiences - Attention to detail and commitment to data quality - Ability to collaborate effectively with individuals across diverse backgrounds, perspectives, and life experiences. - Desire to work independently, with minimum supervision. Hours Generally available to work forty hours per week, including in-person and digital meetings, primarily during 8 a.m.-5 p.m. Central Time on weekdays when most of our staff and collaborators are working. Some evening and weekend working hours will be needed. We are flexible for caregivers who might need to provide rides or support, attend appointments, or be available for caregiving. Location + Travel This position will have a flexible location, but will require extended time spent and travel to producer locations in Colorado and New Mexico, and travel to visit other collaborators and growers as needed. Seasonal travel may be as much as 50% of the time. Environmental + Working Conditions Prolonged periods of sitting at a desk and working on a computer and phone. Work in field and laboratory research settings in all types of weather Long hours of fieldwork Travel in varying conditions Compensation + Benefits The Land Institute offers an excellent benefits package and a competitive salary commensurate with experience. The salary range for this position is $57,000 - $71,000 annually. - Remote-friendly work environment - Paid parental leave - Competitive, equitable compensation - 403(b) Retirement - 403(b) Employer contributions - Health Insurance - Dental Insurance - Vision Insurance - Employer-Provided Life Insurance - Flexible Spending Account - Dependent Care - Short-Term and Long-Term Disability Insurance - Voluntary Life Insurance - Accidental Insurance - Critical Illness Insurance - Employee Assistance Program - Paid holidays - Generous paid time off - Complete laptop workstation and set up for remote work To Apply: Submit a CV and letter of interest The Land Institute is an equal opportunity employer and embraces the opportunity to provide employment to qualified individuals regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age (40 or older), disability or genetic information. We are pleased to provide reasonable accommodations to enable individuals with disabilities to perform essential functions.

• Design and develop data products and machine learning models embedded within client-facing platforms and applications. • Operationalize analytics by integrating models, algorithms, and data pipelines into production systems and workflow-driven applications. • Work with large-scale healthcare datasets (e.g., claims, EMR, and external data sources) to enable scalable insight delivery within platforms. • Build and validate predictive, descriptive, and segmentation models that support decision systems across commercial, market access, and medical use cases. • Contribute to development of AI/ML-enabled applications, including GenAI, RAG pipelines, and agent-based workflows, ensuring outputs are scalable, traceable, and production-ready. • Collaborate with engineers and architects to deploy models via APIs, microservices, and cloud-based environments. • Develop modular, reusable code, data pipelines, and feature libraries that can be leveraged across multiple solutions. • Translate complex analytical logic into clear, user-facing outputs within applications, dashboards, and automated workflows. • Ensure data quality, model performance, and governance standards across deployed solutions. • Contribute to innovation and development of next-generation data products and analytics capabilities across the technology portfolio.

Make a difference. Be happy. Grow your career. The Role ​​Nordic, repeat Best in KLAS IT Services Firm and solely serving the healthcare industry, strives to empower healthcare providers to leverage technology and to realize digital transformation. All Nordic staff embrace Nordic’s maxims and mission to serve our customers who care so well for us. Key Responsibilities The Senior Data Scientist applies strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The Senior Data scientist should also have some awareness about Gen AI & Agentic AI concepts, and have a point of view on how the traditional data science workflows can evolve harnessing power of Generative AI & Agentic AI. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test and develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team. Essential Job Functions - Collaborates with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools. - Effectively communicates the analytics approach and how it will meet and address objectives to business partners. - Advocates and educates on the process and reasoning for solving problems with data-driven decision making. - Leads analytic approaches to integrate work into applications and tools with data engineers, business leads, analysts and developers. - Creates repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products. - Engineers features by using business acumen to find new ways to combine disparate internal and external data sources. - Identifies and develops long-term processes, frameworks, tools, methods and standards. - Collaborates and learns with a growing team of experienced data scientists. - Stays connected with external sources of ideas through conferences and community engagements. Skills and Experience - Generally, requires a Bachelor's degree and 12 years of related experience or a Master's degree and 8 years of related experience. - Masters, Data Science, Computer Science, Engineering, or Statistics (preferred) Doctorate, Data Science, Computer Science, Engineering, or Statistics (preferred) Minimum Years of Experience - 8+ years' experience in a data science role (required) - 8+ years' experience in a data engineering, analyst, or architecture role (required) - 8+ years' experience in a data science role (preferred) Other Knowledge, Skills and Abilities Required - Python - SQL, Databricks - Machine Learning concepts and engineering tools - Good grasp of Generative AI and Agentic AI concepts - Model deployment and maintenance - BI tools (e.g., Tableau, PowerBI) - Attention to detail - Critical thinking - Relationship building - Ability to work with technical and non-technical stakeholders - Requirements translation - Agile work process - Continuous learner #LI-JD1 Nordic is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital or veteran status, or any other protected status under applicable federal, state, or local laws. We encourage individuals of all backgrounds to apply, including women, minorities, individuals with disabilities, and veterans.

The Data Measurement & Reporting Advisor provides expert content/professional leadership on complex Data Measurement & Reporting assignments/projects for the Out-of-Network Protection Team (ONPT). Specific focus on Out of Network pricing and No Surprises Act (NSA) business data. Delivers analytical and operational reporting, business performance measurement and management dashboards through the use of portals and self-service tools across the organization. Creates and delivers automated solutions driving relevant insights in partnership with Business Analytics and IT. Provides guidance on end-user needs, informs reporting solution design, and fulfills data and measurement requests in support of business priorities. Exercises considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives. Uses deep professional knowledge and acumen to advise functional leaders. Focuses on providing thought leadership within Data Measurement & Reporting, but works on broader projects, which require an understanding of the wider business. Recognized internally as a subject matter expert. ​Analytics & Data Analysis - Leverage data to answer business questions by identifying data needs, extracting data from relevant sources, and performing detailed analysis - Use technical expertise (e.g., SQL, Python) and analytical tools to explore operational data, identify trends, drivers, and outliers, and explain performance outcomes - Support testing and monitoring efforts by defining metrics, tracking performance indicators, and identifying emerging issues Reporting & Visualization - Design, build, and maintain standardized reports and dashboards that support ONPT operations & decision‑making - Enable self-service analytics by creating clear, well-structured reporting solutions using business intelligence tools - Continuously enhance existing reports to improve clarity, usability, performance, and insight generation Data Quality & Foundations - Ensure data accuracy, consistency, and reliability through validation, reconciliation, and quality checks - Develop and maintain documentation for datasets, metrics, and reporting logic to support transparency and reuse Operational Support & Automation - Respond to ad hoc analytical requests while identifying opportunities to standardize or automate recurring analyses - Build repeatable queries, scripts, and datasets to reduce manual effort and improve turnaround time - Support ongoing operational performance management through KPI tracking and recurring analytics deliverables Collaboration & Communication - Partner closely with cross-functional stakeholder groups to align analytics outputs with business needs - Provide guidance and analytical expertise on recurring data questions and reporting challenges Basic Qualifications - Advanced proficiency in SQL and Python- including complex joins, subqueries, and performance optimization - Experience with business intelligence and data visualization tools (e.g., Tableau, Power BI) - Strong analytical and problem-solving skills with the ability to explain complex data clearly - Excellent written and verbal communication skills - Ability to deal with ambiguity, troubleshoot autonomously, and work through problems independently Preferred Qualifications - Proficiency in web scraping, OCR, and other unstructured data retrieval methods - Experience working with large or enterprise-scale‑ data platforms (e.g., Teradata, Oracle, SQL Server, Databricks) - Familiarity with Agile delivery models and work management tools - Claims data experience, though overall data acumen is more important If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. For this position, we anticipate offering an annual salary of 96,700 - 161,100 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan. At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here. About Cigna Healthcare Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes. The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.