• Lead the development of data-driven clinical decision support tools through predictive analytics to optimize clinical care processes. • Partner with department leaders and clinical end users to understand and prioritize the pain points. • Collaborate with administrative leaders, clinicians, and IT specialists to support data strategy and execution. • Lead decision support data science team in developing high quality, robust and reliable algorithms. • Plan, resource, strategize and manage clinical decision support projects. • Query and analyze large datasets from multiple systems. • Evaluate methodologies and data sources for the best approach to solve data science problems. • Design and implement machine learning algorithms for predictive models. • Produce technical documentation and data visualizations to present project progress and results.

You could be the one who changes everything for our 28 million members as a clinical professional on our Medical Management/Health Services team. Centene is a diversified, national organization offering competitive benefits including a fresh perspective on workplace flexibility. Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT. Clinical Pharmacist (Advanced Analytics) - Python, SQL & Power BI with Advanced Analytics and Automation. Job Specific Duties: - Apply clinical pharmacy expertise to identify potential cost‑savings opportunities based on guidelines, literature, utilization patterns, and site‑of‑care considerations. - Attend and actively participate in clinically focused meetings, discussions, and workgroups. - Review clinical guidelines, drug compendia, and published studies to inform analytical hypotheses. - Use Python and SQL to explore, analyze, and validate data related to clinical and financial opportunities. - Leverage and extend existing automated data pipelines and analytics workflows. - Work with large healthcare datasets, including medical claims, pharmacy claims, member eligibility, and encounters data. - Partner with analytics engineers to translate clinical concepts into scalable, automated analytics solutions. - Build and maintain analytical outputs and visualizations (e.g., Power BI) to communicate findings to stakeholders. - Present insights and recommendations clearly to clinical, business, and leadership audiences. - Collaborate closely with team members to share knowledge, improve processes, and provide coverage across initiatives. Key Skills, Capabilities and Experience: - Active PharmD with strong clinical pharmacy training and experience. - Advanced proficiency in Python for data analysis and automation. - Advanced proficiency in SQL for querying and analyzing large datasets. - Demonstrated ability to combine clinical judgment with data‑driven analysis. - Experience working with healthcare data such as medical claims, pharmacy claims, eligibility, or encounters. - Strong analytical thinking and problem‑solving skills in ambiguous problem spaces. - Ability to communicate complex analytical findings clearly to non‑technical audiences. - Experience with Power BI or similar data visualization tools (preferred). - Experience with modern data platforms such as Snowflake or cloud‑based analytics environments (preferred). Position Purpose: - Leverage clinical pharmacy expertise and informatics capabilities to inform, design, and operationalize data‑driven strategies that improve quality of care, health outcomes, and utilization efficiency. Serve as a clinical subject‑matter expert who translates emerging evidence, clinical insights, and business priorities into scalable analytical solutions by engineering automated data pipelines, integrating internal and external data sources, and delivering decision‑ready insights through Power BI or other visualization platforms to demonstrate clinical impact and financial value. - Serve as a clinical pharmacy subject‑matter expert, engaging in complex clinical discussions and critically evaluating emerging literature to inform population‑level strategies, program design, and clinical interventions. - Translate clinical concepts, quality measures, and utilization drivers into analytical frameworks that support scalable, data‑driven decision‑making across pharmacy and broader healthcare initiatives. - Design, build, and maintain automated data pipelines by integrating multiple internal and external data sources to support clinical analytics, performance monitoring, and program evaluation. - Support the development and evaluation of clinical programs and initiatives by linking clinical insights to quality, utilization, and financial outcomes, including identification of savings opportunities and risk mitigation strategies. - Provide clinical oversight and validation of analytical outputs to ensure findings are clinically sound, evidence‑based, and actionable. - Contribute to the continuous improvement of informatics capabilities by identifying opportunities to enhance data quality, automation, reproducibility, and scalability of clinical analytics solutions. - Develop and deliver analytically rigorous dashboards, reports, and visualizations (e.g., Power BI) that clearly communicate trends, opportunities, outcomes, and value to clinical, operational, and executive stakeholders. - Partner cross‑functionally with analytics, data engineering, IT, and business teams to ensure accurate data interpretation, appropriate clinical context, and alignment with enterprise data standards and governance practices. - Performs other duties as assigned. - Complies with all policies and standards. Education/Experience: Bachelor's Degree or advanced degree (PharmD., M.S) in Pharmacy. 3+ years of clinical pharmacy experience in managed care, health plan, hospital, or related setting preferred 1+ years Advanced analytical skillset, including hands on experience with SQL, Python, and Power BI to analyze healthcare data and translate insights into scalable, decision ready outputs required 1+ years of experience partnering with technical or analytics teams (or independently building solutions) to move data from source systems into analytical environments required - 1+ years exposure to data engineering concepts (ETL/ELT, data modeling, automation), preferred - 1+ years of experience supporting strategic initiatives that link clinical insights to financial, or utilization outcomes, preferred - 1+ years of experience with Snowflake or similar cloud data platforms, preferred Licenses/Certifications: Current state Pharmacist License with no restrictions required * Please attach an up-to-date resume that meets Education / Experience requirements above to your application. * Pay Range: $107,700.00 - $199,300.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

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.