The Principal Biostatistician II functions independently as a statistical consultant/project manager by applying statistical, programming, and related methods such as machine learning and scientific expertise to the design, implementation, analysis, interpretation, and reporting of research, clinical and administrative studies. The Principal Biostatistician II must possess advanced level expertise in a wide variety of statistical techniques and other skills listed for Biostatistician, to meet the demands of study teams and investigators. The Principal Biostatistician II must possess advanced knowledge of biology and medicine and be able to identify and apply analytical approaches as they relate to these fields. The Principal Biostatistician II will direct development of case report forms (CRFs) and/or databases as well as monitor the progress for most biostatistical aspects of research and clinical studies. The Principal Biostatistician II manages and monitors all aspects of time and project management relating to staff effort, regulatory milestones, and/or goal timelines for at least one team of others either internal or external to the Department or Mayo Clinic. The Principal Biostatistician II will delegate tasks to statistical programmers, Biostatisticians, and other study personnel for most studies. The Principal Biostatistician II will summarize and communicate project findings to study team members, investigators, journal and grant reviewers, committees, and other individuals and entities as needed. The Principal Biostatistician II acts as an expert in writing statistical analysis plans and analysis data set specifications. The Principal Biostatistician II will contribute significantly to grant and report writing, scientific publications and/or regulatory reports, and may publish as a first or senior author in peer-reviewed journals. The Principal Biostatistician II functions as the primary statistician on most studies. The Principal Biostatistician II may serve as a co-investigator, key-personnel, or lead statistician independently on clinical trials, external collaborations or grants as approved by the Department. The Principal Biostatistician II has leadership role(s) in committees, task forces, or working groups within and/or outside of the Department or Mayo Clinic and may present in professional meetings outside of the Department or Mayo Clinic. Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

• Help develop KoBold’s proprietary software exploration tools. • Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system. • Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust. • Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. • Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. • Present to and collaborate with our external partners and stakeholders.

Data Scientist (Senior Staff, Staff, & Senior roles available) About the company KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures. KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors. Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP. We are hiring a Data Scientists to help accelerate our mission. About the position In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities The Data Scientist will: - Help develop KoBold’s proprietary software exploration tools. - Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system. - Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust. - Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. - Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. - Present to and collaborate with our external partners and stakeholders. Qualifications A great Data Scientist candidate will have: Technical skills, including extensive experience with: - Python’s data science packages and general software engineering practices. - Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. - Cloud computing resources. - Building predictive models, applying them to different problems, and evaluating and interpreting the results. - Data from a variety of physical systems. - Geospatial analyses and visualizations. Technical knowledge: - Broad skills in and knowledge of applied statistics and Bayesian inference - Substantial understanding of machine learning algorithms Training and work experience: - An advanced degree in the physical sciences, engineering, computer science, or mathematics. - A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer. - Experience leading technical teams to apply novel scientific approaches to core business problems Work practices and motivation: - Ability to take ownership and responsibility of large projects. - Ability to explain technical problems to and collaborate on solutions with domain experts. - Communicates well on a collaborative, cross-functional team. - Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. - Ability to independently prioritize multiple tasks effectively. - Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. - Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field. - Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. - A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world. It is also helpful but not required to have experience with: - Creating machine learning models on geospatial data - Geostatistics - Image processing or computer vision - Distributed computing applications for machine learning and other computations KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-time Exempt. The US base salary range for this full-time exempt position is $140,00 - $240,000 (USD) plus equity and benefits. Location: KoBold is a remote-first workplace. All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, or Botswana.

• Design, develop, and deploy AI/ML pilot solutions aligned to operational government use cases such as workflow automation, document processing, and decision-support analytics • Develop Python-based solutions for data ingestion, processing, modeling, and deployment, including integration across systems using APIs • Build automation workflows using Microsoft Power Automate and similar tools to support data movement and process improvement • Integrate APIs and data services to enable end-to-end analytical pipelines across legacy and modern platforms • Prepare and structure operational datasets, including cleaning, organizing, and transforming inconsistent data for analysis and modeling • Translate business and operational requirements into technical designs, models, and working prototypes • Collaborate with technical teams, program leadership, and stakeholders to ensure solutions align with mission needs • Support the transition of successful pilot efforts into scalable, production-ready implementations • Document technical approaches, data flows, and model behavior to support sustainment and knowledge transfer