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Duties and Responsibilities: Enforce all Company, OSHA and other applicable procedures and standards Set daily production goals and expectations with Foreman of project Know the contract scope including standard and special provisions, technical specifications, payment and change clauses and scheduling milestones Track and communicate changes in scope to Project Manager Purchase essential materials for the job per the PO. Authorized, outside of those materials specifically called out in the job estimate, up to $500.00. Complete all administrative documentation in a timely and accurate manner (including safety audits and observations, time entry approval, review redlines, review production, etc) Promptly complete authorization of all invoices, receipts, and fuel charges Involved in the recruitment, hiring, development, and termination of employees on the crew Improve personal, technical, and supervisory skills through personal development plans and offered trainings Represent and promote the company’s mission, vision, and values Address all customer questions or concerns Perform labor and operating duties when needed Safety training as required by position Perform other duties as assigned Essential Education and Qualifications: High School education or GED Valid Driver’s License OPS inner duct and fiber install experience required High count fiber splicing and testing expirence required Ability to use computers /electronic devices Able to read blueprints and follow job specifications and orders Proficient in MS Office Suite, including Outlook, Excel, Word, Project and PowerPoint Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be physically fit to endure the daily activity involved with the job Must be able to work in all weather conditions Must be able to lift up to 75 pounds Must be able to sit for long periods of time as required for driving and computer work May require focusing on a computer screen for several hours at a time A person in this position must generate and use “Confidential Information”. As a management member, the individual is expected to keep such information confidential. “Confidential Information” means any information that is not generally known to the public, including but not limited to, employee information, company information, all manners of company communication (written or verbal), customer information, customer contacts, financial and other business information relating to the operation including all job information. Benefits offered to eligible employees include medical, dental, vision, and supplemental life insurance, along with Paid Time Off, paid Holidays, traditional and ROTH 401(k) options with company match, employee stock purchase plan, education assistance program, employee assistance program, training and development opportunities, Telecommunications Industry Registered Apprenticeship Program, and a Commercial Driver’s License obtainment program. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health is recruiting for a Principal Data Scientist, Real World Evidence (RWE) . The primary location for this position is flexible – Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing i nnovative evidence solutions and critical insights through diverse data sources including RWD, trial data and emerging innovative data sources , to support our clinical programs and regulatory submissions . The Principal Data Scientist will collaborate closely with strategic partners in R&D Data Science and Digital Health, as well as multi disciplinary teams within J&J Innovative Medicine , to develop and implement evidence and insights to improve patient outcomes and enhance clinical development in Oncology, Immunology, or Neuroscience. Key Responsibilities: C ontribute to the development of a portfolio of RWE projects based on RWD that will provide key insights to our pipeline assets Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data End-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation Analyze and interpret data to support urgent requests from internal and external stakeholders Ensure quality of design, execution, and publication of real-world evidence studies, and quality of models & tools Create study protocols, statistical analysis plans, and statistical programming deliverables Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making Ensure RWE generation aligned with regulatory requirements and scientific standards Required Q ualifications: A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar) Relevant experience (2+ years for Ph.D., 4+ years for a master’s) within biopharma companies, RWE consulting firms, or other relevant healthcare industries Extensive hands-on experience with data engineering and data analysis Proven track record of consistently delivering on high impact data science projects Expert proficiency in R and SQL Excellent interpersonal, communication, and presentation skills Preferred Q ualifications: Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting Familiarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD The anticipated base pay range for this position is : $115,000 - $197,800 Additional Description for Pay Transparency: Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. § Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). § Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins, and RAS Companion Inhibitors for use in combination treatment strategies. As a new member of the Revolution Medicines team, you will join other outstanding Revolutionaries in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: The Executive Director and Head of Clinical Data Management provides high-level leadership for data management functions within clinical research, focusing on strategic development, operational execution, and regulatory compliance to ensure data integrity for clinical trials. Key responsibilities include leading and managing data management teams, establishing and enforcing data management policies and procedures, overseeing departmental budgets, collaborating with cross-functional teams and vendors, and ensuring data management processes meet regulatory standards. This role requires extensive experience in clinical data management, strong leadership and communication skills, expertise in clinical trial methodologies, and a deep understanding of regulatory requirements including submissions and data management systems. Required Skills, Experience and Education: Define and implement the overall vision, strategy, and goals for the clinical data management department, including developing and enforcing departmental SOPs. Lead, manage, and develop data management teams, handling resource planning, staff training, and performance reviews. Develop and monitor KPIs for data quality and operational performance. Manage relationships with Contract Research Organizations (CROs) and other data management vendor partners, ensuring they meet quality and performance standards. Forecast, manage, and provide oversight for departmental budgets, including internal and external expenditures. Ensure data integrity, quality, and compliance with regulatory requirements (e.g., FDA, ICH, GCPs) and internal company policies. Experience with global trials and regulatory submissions (FDA, EMA). In-depth understanding of industry standards related to clinical data management (e.g., medical dictionary coding). Guide data management activities for regulatory submissions and represent the department during regulatory inspections and internal audits. Serve as a key liaison and collaborate effectively with cross-functional teams (e.g., Clinical, Quality, Regulatory) and key external stakeholders. Extensive experience in clinical data management and systems, with proven leadership experience in oncology therapeutic area. Proficient knowledge of EDC systems (e.g., Medidata Rave), CDISC standards, and clinical trial processes. Drive innovation and continuous process improvement within data management by implementing new technologies and advanced systems to enhance productivity and efficiency. Demonstrated ability to lead, motivate, and develop teams. Excellent communication and interpersonal skills to effectively collaborate with diverse teams and stakeholders. Strong problem-solving and decision-making abilities to resolve complex issues and drive solutions. Bachelor's Degree with 15+ years of relevant experience required or Master's Degree with 13+ years of relevant experience preferred. Preferred Skills: A degree in life science, health informatics, or a related field. Exposure to real-world data (RWD) and decentralized trial models. Automation and digital transformation initiatives to improve data quality and efficiency (e.g., IXRS, AI/ML tools, RBQM platforms). #LI-Hybrid #LI-GL1 The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities. Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status. Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and . For additional information, please contact privacy@revmed.com . Base Pay Salary Range $256,000 — $320,000 USD

Why join CompuNet? CompuNet values its people more than any other asset—and realizes the contributions made by each employee are a reflection of their education, experience, certifications, expertise and passions. We strive to take care of each other, do the right thing and help our customers succeed. We work to build lasting relationships and are proud that our customers across many industries see us as a trusted advisor. Putting the customer at the center of every engagement, our mission is to design, test, deploy and support the right IT solutions for every customer. We offer a generous total compensation package for our employees, including competitive wages, medical, dental, vision, PTO, company-matching retirement plans, profit-sharing and more. Our engineers are the foundation of success for our customers and our business. We are seeking a Senior Solutions Engineer with a Data Center focus to join our team in Missoula, Montana. This role will provide value for our clients in both pre-sales design and post-sales implementation. This role will perform the following responsibilities: Collaborate with the sales team to build a winning strategy for our clients. Perform necessary Pre-Sales technical functions to create systems designs. Build Bill of Materials (BoM), create illustrations and diagrams and provide Statements of Work (SoW). Relay technical information to both technical and non-technical staff. Post-Sales Implementation of systems designed. Produce post Implementation project documentation. Provide proficient end-user systems administration training (post implementation) of CompuNet installed solutions Develop strategic relationships with our key manufacturer Partner SE's. Key Expectations of this role: Listen to and address customer technical challenges and design the right solution that meets the customer business needs. Ability to communicate on a high level regarding multiple technologies. Relay technical information to both technical and non-technical staff. Maintain existing certifications and grow to new areas with certification. Participate in all team functions including calls, meetings, events, etc. Technologies that this role will encompass are below: Converged and Hyper-Converged (HCI) solutions Storage Block, File & Object Connectivity Fibre Channel iSCSI Virtualization Design, deploy and maintenance vSphere Hyper-V Virtual network connectivity Cloud (some understanding preferred but not required) Understanding of public & private clouds Azure AWS GCP Data Protection Veeam Cohesity Rubrik Backup and Restore (Not all are required) Disaster Recovery Business Continuity Microsoft Active Directory (not required but recommended to have some level of understanding) Baseline understanding of Microsoft Active Directory and Windows Server components like DHCP, DNS & PKI Networking (Basic Networking) Fundamentals required for connectivity between data center, hybrid and cloud components Who you are You’re a strong team player that is invested in helping your customers succeed and contributing to a great team. You have the following knowledge, skills, abilities and/or education: 8+ years of experience is a plus Demonstrated ability to work independently and bring order to ambiguous situations Ability to work on different projects in a simultaneous fashion (i.e. multiple customer projects in the same time period). Ability to relay technical information to both technical and non-technical staff. Exceptional problem solving and organizational skills. Excellent time management and independent work skills. Excellent verbal and written communication skills. Willing to travel 25-50% of the time depending on client needs Additional Information At CompuNet, we strive to do the right thing - that includes taking care of our employees. We offer a full and comprehensive compensation package to all our employees, including: Medical, Dental, Vision, Employee Assistance Program, and Flexible Spending Accounts Life and AD&D insurance, Disability coverage, Critical Illness and Accident Insurance Paid Time Off (PTO) and paid Holidays Company-matching 401(k) Profit Sharing Competitive salary The estimated base salary range for this position is $100,000 - $175,000 per year. Actual salary will depend on a variety of factors, including location and job-related qualifications such as knowledge, skills, experience, training, certifications, education, or performance. This position is eligible for variable compensation, such as commission, bonuses, and profit sharing, in addition to the base salary. Who we are CompuNet, Inc. is an engineering-led IT solution provider that offers consulting, design, and professional services. Our strength lies in our team of outcome-driven and relationship-focused professionals with a long history of designing IT solutions. Our team of highly skilled engineers take the lead in designing, developing, and implementing solutions that address complex business challenges. This team takes ownership for the entire project lifecycle, from discovery and design through deployment, training, and handoff. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

Book Keeping/Data Entry THE JOB:*Recurring monthly bookkeeping.*General Accounting & Data Entry.*Bank reconciliations.*Credit card account reconciliations.REQUIREMENTS:Excel.Good math abilityGood organizational skillsGood communication skills Pie Five-Fuzzy's-Dickey's is independently owned and operated by a franchisee. Your application will go directly to the franchisee, and all hiring decisions will be made by the management of that franchise. All inquiries about employment at this franchise should be made directly to the franchisee, and not to Pie Five Corporate.

Description This is an onsite internship in Plano, TX for the Spring 2026 semester, up to 25 hours per week. Job Summary We are seeking a hands-on, tech-savvy intern to support enterprise automation and AI initiatives using Microsoft Copilot, Power Automate, and other intelligent platforms. This internship offers immersive learning in AI-driven productivity, low-code automation, and data integration. The intern will gain practical experience in building smart workflows, automating business processes, and enhancing user experiences with AI tools. What Will You Learn How Microsoft Copilot enhances productivity across Microsoft 365 apps How to design and deploy automated workflows using Power Automate How to integrate AI models and APIs into business processes How to use Power Platform (Power Apps, Power BI) for low-code development How to identify automation opportunities and implement scalable solutions Responsibilities Specific tasks, duties, essential functions of the job Build and optimize Power Automate flows for business process automation Assist in configuring and deploying Microsoft Copilot experiences across departments Integrate AI services (e.g., Azure OpenAI, Cognitive Services) into workflows Support the development of Power Apps for internal tools and dashboards Collaborate with business users to gather requirements and test solutions Document automation logic, use cases, and best practices Qualifications Experience and Education Enrolled in a Bachelor’s or Master’s degree in Information Systems, Computer Science, Data Science, or a related field Academic or project experience with Microsoft Power Platform, Excel automation, scripting tools, and Python Familiarity with Power Automate, Power Apps, or Microsoft Copilot Understanding of APIs, JSON, and data integration concepts Exposure to AI/ML tools or services (e.g., Azure AI, OpenAI, Google Vertex AI) is a plus Strong interest in automation, AI, and improving business efficiency Familiarity with data transformation tools (e.g., pandas, SQL, Excel macros) Understanding of REST APIs and JSON data formats Disclaimer The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.

Salary Range: $9,333.00 - $12,576.46 monthly SUMMARY The Data & Analytics Unit is responsible for collecting, analyzing, and interpreting healthcare data to support decision-making across the Los Angeles County Department of Health Services (DHS). The unit manages patient care and operational data, using analytics to identify patterns, predict outcomes, and improve service delivery. The unit also ensures data integrity, security, and regulatory compliance. The Senior Data Scientist manages advanced analytical projects, developing sophisticated machine learning models, and providing strategic insights to drive data-informed decision-making. This role requires expertise in statistical modeling, data engineering, and predictive analytics, as well as the ability to mentor junior data scientists and collaborate with cross-functional teams. The Senior Data Scientist plays a key role in designing scalable data solutions, optimizing analytical workflows, and ensuring alignment between data initiatives and organizational goals. ESSENTIAL FUNCTIONS Advanced Data Analysis & Modeling Lead the development of predictive, prescriptive, and diagnostic models to address complex business problems and optimize decision-making processes. Apply advanced statistical methods, machine learning algorithms, and data mining techniques to analyze large and varied datasets, uncovering trends and patterns that provide actionable insights. Fine-tune and optimize models, ensuring they are scalable, efficient, and aligned with business requirements. Mentor junior data scientists and guide their model development, statistical analysis, and data science practices. Machine Learning & AI Implementation- Design, train, and optimize machine learning models for forecasting, anomaly detection, and automation. Data Engineering & Pipeline Optimization - Collaborate with engineering teams to improve data pipelines, ensure data integrity, and enhance model deployment. Insightful Reporting & Visualization Create and deliver high-quality, clear, and actionable reports and dashboards, translating complex data findings into easily understandable insights for both technical and non-technical stakeholders. Use advanced visualization tools and techniques to convey analytical results effectively to leadership and business teams. Develop and implement metrics and KPIs that measure the effectiveness of data science initiatives and model performance. Strategic Collaboration & Stakeholder Engagement Work closely with business leaders and stakeholders to define data needs and prioritize projects that align with organizational goals and objectives. Translate complex technical concepts into actionable business insights and recommendations for non-technical audiences. Collaborate with cross-functional teams, including product, engineering, and IT, to design and implement data solutions that drive business impact. Continuous Improvement & Research Stay abreast of emerging data science techniques, industry trends, and technologies to drive innovation within the team and ensure best-in-class data science practices. Lead research initiatives that explore new methods for data analysis, modeling, and automation. Contribute to the continuous improvement of data science workflows, tools, and methodologies within the organization JOB QUALIFICATIONS The ideal candidate is an experienced data scientist with strong leadership capabilities, problem-solving expertise, and the ability to drive high-impact data initiatives. They should have deep technical proficiency in machine learning, statistical modeling, and big data processing, coupled with strong business acumen and communication skills. A passion for continuous learning and innovation is essential. Education/Experience Bachelor’s or Master’s degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. 5+ years of experience in data science, advanced analytics, or a related role. Extensive hands-on experience in machine learning, AI, and predictive modeling. Certificates/Licenses/Clearances Successful clearing through the Live Scan process with the County of Los Angeles. Other Skills, Knowledge, and Abilities Advanced programming skills in Python, R, or SQL for model development and data processing. Expertise in cloud computing (AWS, Azure, GCP) and big data technologies. Strong experience with data visualization tools (Tableau, Power BI) for storytelling and reporting. Deep knowledge of data engineering concepts, ETL processes, and model deployment. Proven ability to lead data science projects from ideation to implementation. Excellent communication skills to present complex insights to both technical and non-technical audiences. Experience mentoring junior data scientists and fostering a data-driven culture. Strong understanding of agile methodologies and project management principles. Commitment to innovation and staying at the forefront of industry trends. PHYSICAL DEMANDS Stand: Not applicable Walk: Not applicable Sit: Frequently Handling / Fingerin g: Constantly Reach Outward: Constantly Reach Above Shoulder: Not applicable Climb, Crawl, Kneel, Bend: Not applicable Lift / Carry: Occasionally- Not applicable Push/Pull: Occasionally- Not applicable See: Constantly Taste/ Smell: Not Applicable Not Applicable = Not required for essential functions Occasionally = (0 - 2 hrs/day) Frequently = (2 - 5 hrs/day) Constantly = (5+ hrs/day) WORK ENVIRONMENT Hybrid EEOC STATEMENT It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.

Job Title: Data Engineering Supervisor Position Summary The Chord Energy Data Engineering Supervisor is a working manager, that will lead a small team of data and analytics engineers to deliver automated data flows, business processes, reliable pipelines and BI products that power decision making at Chord. The team is focused on supporting data infrastructure to enable data analytics and machine learning. This role involves designing and building data pipelines, ensuring data quality, and facilitating data accessibility for data scientists and other business operations stakeholders. This role presents an exciting opportunity for a seasoned data engineer to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes. This position is located in downtown Houston, TX. Hybrid work schedule is an option for remote work on Mondays and Fridays. Level and salary commensurate with experience. Essential Job Functions The primary responsibility involves leading a small team and participating in multi-disciplinary projects aimed at providing business solutions to diverse problem sets ranging from, but not limited to, production automation / optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations. This position will build and maintain enterprise-grade ELT/ETL pipelines and integrations that move data from source systems, APIs and external partners into Snowflake and other platforms to support data science, AI, automation, and BI workflows. The data engineering supervisor will design and deliver automations (Python and SQL) that reduce manual effort and keep data products fresh and accurate. Oversee the team’s BI workload by curating datasets and publishing Power BI, Sigma, and Spotfire dashboards that turn raw data into actionable insights. Own and maintain the data science and AI stack including Azure Machine Learning, OpenAI/Azure AI Foundry, and Snowflake. Goveren versioning, costs, access, and upgrades for the team. This position is a Working manager: spend ~50% of your time hands-on coding while mentoring engineers on best practices for data quality, testing and CI/CD. This job description is not intended to be an all-inclusive list of duties and responsibilities of the position. Incumbents will be required to follow any other job-related instructions and duties outside of their normal responsibilities as assigned by their supervisor. Minimum Qualifications Bachelor’s degree in Computer Science, Data Engineering or related field 10+ years in data engineering, including designing and operating cloud data pipelines; 2+ years in a technical-lead or supervisory role preferred. Proven expertise with modern data-engineering tools: Python/SQL, Snowflake or Databricks, orchestration frameworks (Airflow, ADF), and API-based integrations. Working knowledge of BI platforms (Power BI, Spotfire, Sigma) and the practices that make dashboards performant and trustworthy including back-end architecture in Fabric. Strong coaching, prioritization and stakeholder-management skills; able to translate business objectives into technical backlogs and deliverables. Strong interpersonal and collaborative skills Demonstrated ability to work in a team-oriented environment Excellent presentation skills Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company Ability to meet deadlines Physical Requirements and Working Conditions: Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer, stamina to maintain attention to detail despite interruptions, strength to lift and carry files weighing up to 10 pounds; vision to read printed materials and a computer screen, and hearing and speech to communicate in person and over the telephone The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Preferred Qualifications Master’s degree or PHD or certification in Data Science or Data Analytics Familiarity with additional programming languages (SQL, R, C++, etc.) Previous Oil and Gas operator experience Exposure to Petroleum Engineering and Geoscience workflows Exposure to the energy sector, particularly unconventional exploitation programs This role presents an exciting opportunity for a Data Engineering Supervisor to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes. EEO Statement: Chord Energy does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. Our Creator team is a group of physically capable individuals who are at the forefront of our operations, collecting new data to train Helix, our AI system, through wearing sensor hardware. They collect training data by performing specific physical tasks, review and grade the data they collect, and communicate key issues to / process improvements. We are looking for a Data Creator Manager to run our daily data collection operations for scaling Helix. Responsibilities: Build, train and lead Figure’s Creator team, providing direction, guidance, and support to ensure the achievement of data collection goals and targets. Manage day-to-day frontline operations, ensuring smooth workflows and high uptime. Oversee management of sensor hardware inventory and data uploading. Accountable for data collection performance metrics. Coordinate to drive implementation of new data collection procedures and maintain documentation for procedures. Develop onboarding and ongoing training documentation for new hires. Train and mentor team members to ensure they are equipped with the necessary skills and knowledge to perform their roles effectively. May involve standing for long periods, supervising shifts, and responding to urgent operational issues. Elevate opportunities for process improvement and work to define creative solutions to improve KPIs. Requirements: 5+ years experience leading a highly skilled team in a fast paced environment, including hiring, performance managing, and mentoring junior team members. Excellent problem-solving and decision-making abilities. Experience operating and troubleshooting early-stage technologies. Excellent communication skills especially using data. Able to work well under pressure while managing competing, time-sensitive demands. Proficiency in Google Workspace (e.g., Sheets) and operational management tools. Bonus Qualifications: Experience with robotics or AI data collection. 10+ years experience leading skilled teams operating complex technology. A passion for helping scale the deployment of learning humanoid robots. The US base salary range for this full-time position is between $140,000 - $180,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Product Data Management Engineer (Lead or Senior) Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking a Lead or Senior Product Data Management Engineer ( Configuration & Data Management) to support the Systems Engineering Integration & Test (SEIT) and Mission Systems teams on a DOD propriety program in Albuquerque, NM. The successful candidate will be responsible for overseeing the implementation of overall Configuration/Data Management (CM/DM) on the program as well as leading the development, management and compliance verification of process and product baseline of highly integrated complex products. Our team is currently hiring for a broad range of experience levels including lead and senior level engineers. Position Responsibilities: Leads the implementation of Configuration and Data Management standards, processes, systems and tools. Defines and allocates Configuration and Data Management requirements for product hardware, software and engineering design data systems throughout the product lifecycle. Assures the integration of product elements; analyzes and resolves complex issues with engineering product structure. Assigns and maintain product and document identification. Supports change boards and documentation requests efforts such as Engineering Change Proposals (ECP), Requests for Variance (RFV), Engineering Review Boards (ERB), Change Documents/Change Requests (CD/CRs), program Change Control Boards (CCB), perform configuration audits, generate configuration status reports, and others. Collaborates with and advises fellow configuration management engineers on configuration management principles and job practices. Coordinates across the program to assure that CM/DM responsibilities are understood and deliveries are achieved in accordance with program requirements. Supports the change process so that only approved and validated changes are incorporated into product documents and related hardware/software. Controls baseline and prepare material for distribution and release. Responsible for defining and managing the configuration status accounting (CSA) activity. Tracks all problems and changes in product documents and hardware/software and reports changes and current configuration. Ensures proper archiving and audibility of product releases. Managing input and retrieval of data in the configuration management repository. Interfaces with Supplier management to assure CM/DM Supplier Statement of Work (SSOW) and Supplier Data Requirements List (SDRL) requirements are properly flowed to Suppliers. Coordinates the integration of product elements, analyzes and resolves issues with engineering product structure. Serves as the customer focal for CM/DM. Works under minimal direction. Basic Qualifications (Required Skills/Experience) Bachelor of Science degree from an accredited course of study in engineering, engineering technology (including manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 9+ years related work experience or an equivalent combination of technical education and experience Proficient in Product Lifecycle Management (PLM) tools (PTC Windchill, ENOVIA, Teamcenter, etc.) Preferred Qualifications (Desired Skills/Experience) Active Top Secret Clearance Experience with DOORS, Dassault MSOSA, Siemens Teamcenter, and Gitlab Knowledge of EIA-649-1 and/or MIL-HBK-61 Experience with complex electro-optical and/or optomechanical systems Ability to accomplish tasks through formal channels and informal networks Excellent organizational, spoken and written communication across organizations. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . At Boeing, we strive to deliver a Total Rewards package that will attract, engage, and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and several programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for lead (level 4): $113,050 - $152,950 Summary pay range for senior (level 5): $141,100 - $190,900 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. 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Landbase leverages the experience of 100+ world class sales professionals and AI to deliver targeted, high-quality leads on autopilot. Our mission is to achieve GTM automation so humans no longer need to work for their software so they can reclaim their day. We're building GTM-1 Omni - the world's first action model purpose built for lead generation. About the Role We're seeking a Data Engineer to design and implement scalable data pipelines that power our AI models and analytics. Required Skills & Experience Design and implement ETL pipelines in PySpark and/or Scala Spark Orchestrate complex data workflows in Airflow Advanced SQL skills and experience with BigQuery Hands-on experience with MongoDB, Elasticsearch, and PostgreSQL Proficiency with GCP Dataproc and cluster optimization Experience handling TB-scale unstructured data Optimize database performance and storage strategies Create and maintain data quality monitoring systems Collaborate with ML Engineers on production model deployment Stay current with emerging AI tools and technologies 3+ years of experience in large scale data engineering Nice-to-Have Qualifications Experience with PyTorch, Hugging Face, or other ML frameworks Background in LLM operations and deployment Familiarity with Ray for distributed computing Experience with real-time data streaming architectures Background in sales/marketing data systems Previous experience in startup or AI-driven environments Benefits & Perks Competitive compensation Comprehensive health benefits Flexible work arrangements Professional development opportunities Exciting work with cutting-edge AI technology Collaborative and innovative work environment Regular team events and gatherings

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Principal Data Scientist - why this role matters to you: Work for Delta Defense, the private company that provides Marketing, Operations and Customer Service for the U.S. Concealed Carry Association. The USCCA safeguards life, freedom, and finances for responsible American protectors. Learn more about the USCCA at https://www.usconcealedcarry.com/ As Principal Data Scientist, you’ll lead the design and deployment of advanced analytics, machine learning, and AI solutions that directly enhance member services, strengthen operational decision-making, and drive responsible gun ownership awareness. This role combines high-level strategy with deep technical execution—few opportunities offer this level of meaningful, socially relevant impact. With modern platforms like Snowflake, Sigma, and Python plus hands-on use of generative AI, LLMs, and agentic AI frameworks, you’ll be at the forefront of applied AI innovation. You’ll have the freedom to experiment, prototype, and deploy solutions that push the boundaries of what’s possible in our industry. Principal Data Scientist- Essential Duties & Responsibilities: Leadership and Strategy: Collaborate with the Director of Advanced Analytics to define and advance the data science vision and roadmap, ensuring alignment with enterprise goals. Lead, mentor, and develop the data science team and external consultants to build a high-performing and collaborative practice. Champion the adoption of best practices in machine learning, MLOps, model governance, and AI safety. Provide expert guidance and technical oversight on all data science projects and initiatives. Fosters a culture of accountability, professional development, high performance, and integrity. Project Delivery and Business Partnership: Partner with senior leaders across business units to identify strategic opportunities for AI and data science innovation. Translate business problems into clear, measurable, and scalable data science solutions. Oversee end-to-end project execution, including scoping, design, development, deployment, and post-implementation support. Communicate technical concepts and insights effectively to executive & non-technical audiences. Technical Excellence and Innovation: Design, build, and deploy robust machine learning and optimization models using Python, SQL and Snowflake. Implement and maintain automated MLOps pipelines for model training, testing, deployment, and monitoring. Lead the development of generative AI applications (e.g., LLM-based tools, summarization, recommendation engines) and agentic AI systems (e.g., multi-agent planning, tool use frameworks). Promote experimentation and continuous learning to stay ahead of emerging technologies and methodologies. Governance and Enablement: Ensure all models and AI systems meet standards for security, compliance, ethics, and responsible AI. Develop reusable tools, templates, and frameworks to accelerate delivery and reduce technical debt. Collaborate with engineering, analytics, and IT teams to ensure cohesive platform architecture and infrastructure readiness. Principal Data Scientist- Required Education, Experience and Skills: Master’s degree or PhD in Data Science, Machine Learning, Computer Science, Operations Research, or a related field is required . At least 7 years of experience developing and deploying data science solutions in business settings. Proven leadership experience with a demonstrated ability to mentor and manage high-performing teams. Expert proficiency in Python (NumPy, Pandas, scikit-learn, PyTorch, transformers) and advanced SQL. Experience with modern data and compute platforms including Snowflake, Databricks, Spark, and cloud services (AWS, Azure, GCP). Strong track record of delivering business value through predictive modeling, prescriptive analytics, and AI system design. Exceptional written and verbal communication skills, with the ability to influence and align cross-functional stakeholders, explain complex technical concepts to non-technical audiences, and present effectively to executive leadership. Demonstrates the Core Values of Delta Defense, LLC. This position is based at our corporate headquarters in West Bend, Wisconsin. A hybrid arrangement with some remote work will be considered. Target base salary range $145,000 - $180,000 based on experience. Eligible for company bonus plan. Review benefits information and submit your application at: Delta Defense Careers Why YOU should Work at Delta Defense! We are a fun, fast-paced, and rewarding place to work and grow! Nationally recognized in 2023 and 2024 as a Newsweek Top 100 America’s Most Loved Workplace Top Workplaces USA award in 2022! Named on Inc. 5000 “Fastest Growing Private Companies” list 14 years in a row! Milwaukee Journal Sentinel “Top Workplace” award 7 years in a row! Milwaukee Business Journal “Best Place to Work” award 6 years in a row! PM19

For more than 45 years, Careington has been a leader in the health and wellness benefits space. Since its founding in 1979, Careington has been delivering dental discount solutions as its core competency. Today, Careington has expanded to offer a growing portfolio of 150+ health, wellness, lifestyle and virtual health products and services designed to deliver cost savings across a spectrum of life needs. Through its affiliated nationally licensed third-party administrator (TPA), Careington also delivers full-scale administrative services, including customer service, licensed enrollment, claims administration, individual and group billing, and more. The Marketing Data Administrator will oversee and operate the CRM platform, HubSpot, to include Marketing, and Content hubs alongside all other marketing tools within the Tech Stack. This specialist will record and leverage data via workflows and reporting to inform and support our inbound marketing approach. What you will be doing: Manage our CRM platform, HubSpot, to include Marketing, and Content tools Act as administrator, educator, problem solver, and enablement lead for HubSpot Collaborate with the marketing team in support of business development and sales Maintain data hygiene for companies, contacts, and reports conducting duplication and demographic verification for accurate audience lists. Custodianship of marketing data integrity Explore programmatic improvements using HubSpot APIs, integration logic flows, and user-experience-focused notifications. Act as HubSpot champion, presenting the latest functionality for team consideration Design and implement automated workflows, email automation processes, approval processes, and data validation rules to support lead nurturing and MQL/SQL handoff Conduct data imports and manage data associated with Emails, LinkedIn, Google Analytics, SEO/SEM, MQLs, Events, Social, and Ads Create and maintain lead-scoring models based on digital engagement metrics, demographics, and live event data Develop and maintain operational reporting dashboards and analytics to provide actionable insights on the performance of Marketing and Sales tools such as Forms, CTAs, and ongoing KPIs Collaborate with cross-functional teams across marketing, sales, finance, and client service to deliver insights and support strategic projects Contribute to overarching business unit growth strategy and annual planning efforts Required Skills/Abilities: Documented experience with HubSpot Marketing and/or Sales Hub (HS Certifications and a minimum of 2 years' experience). Advanced Excel skills Deep understanding of HubSpot's CRM, Marketing, Sales, including custom objects, workflows, and reporting. Proven data management skills and experience in data import, cleanup, and deduplication. Excellent communication and interpersonal skills to effectively work with cross-functional teams. Strong analytical and problem-solving capabilities. Ability to take independent ownership of projects or problems; troubleshoot issues, find solutions, and liaise with third-party vendors as needed. Ability to work independently and prioritize tasks effectively. Self-driven and motivated to seek solutions, identify new skills, and adapt to the evolving technological landscape. Passion for identifying and implementing process improvements. Exceptional attention to detail as well as ability to request a ‘second set of eyes’, accept and apply feedback and edits. Intellectual curiosity with a demonstrated ability to quickly learn new subjects and passion for knowledge sharing. Education and Experience: HubSpot Marketing and/or Sales Hub Certifications is a plus for this role Bachelor’s Degree within Business Studies, Business Administration or Information Technology SharePoint Administration experience preferred Power Automate experience preferred

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.Position Overview: Join Thermo Fisher Scientific Inc. as a Quality Specialist - Data Analysis and play a pivotal role in ensuring flawless data quality and outstanding insights! This ambitious role offers the opportunity to work with world-class teams, strictly focusing on data analysis to determine and successfully implement improvements in quality metrics.Key Responsibilities:Extract, clean, and analyze quality metrics data from various sources.Build and manage dashboards for displaying key performance metrics and quality data.Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.Identify trends, patterns, and anomalies in data to support continuous improvement initiatives.Ensure data accuracy and integrity by performing regular audits and validation checks.Present findings and recommendations to team members through clear and concise reports and visualizations.Automate data collection and reporting processes to improve efficiency.Stay updated with industry standard methodologies and emerging trends in data analysis and visualization.Qualifications: Pursuing Master's degree or equivalent experience in Data Science, Statistics, Computer Science, or a related field. Must graduate between December 2026 - June 2027. • Proven experience as a Data Analyst or in a similar role.• Proficiency in data visualization tools such as Tableau, Power BI, or similar.• Solid understanding of SQL and experience with database management.• Familiarity with statistical analysis and data modeling techniques.• Excellent problem-solving skills and attention to detail.• Strong communication skills, both written and verbal.• Ability to work independently and as part of a team.• Experience with Python or R for data analysis is a plus. Start Date: This internship is set to begin on either May 11th or June 15th, 2026 for a duration of 10-12 weeks – dependent upon student availability per academic calendars. Compensation & Relocation: Our undergraduate Operations internships offer an hourly rate between $21.50 - $28.75 dependent upon the location you are supporting (aligned to respective cost-of-living guidelines). Additionally, a relocation stipend is offered in the amount of $5,000 if necessary. Student must be located 50+ miles away from the physical location of the internship to be eligible for the relocation stipend. To qualify, applicants must be legally authorized to work in the United States and should not require sponsorship (current or future) for employment visa status. Thermo Fisher does not offer employment in this position to holders of F-1, J-1, H-1, OPT, and CPT Visas for the purpose of obtaining practical experience.

Position: Sr. Data Integration Engineer Location: Remote Company: Chamber About Chamber Chamber is revolutionizing cardiovascular care through cutting-edge technology and a collaborative team of dedicated professionals. We’re building solutions that enable cardiologists and care teams to gain a population health view of their patients, with tools that drive better decision-making and improved outcomes for high-risk cardiac populations. Job Overview In cardiology, having timely and accurate data can make a life-changing difference. As our Sr. Data Integration Engineer , you’ll be at the forefront of enabling this critical information flow. You’ll shape how clinical and scheduling data moves between the Chamber platform, our data warehouse and BI solutions, and a variety of Electronic Health Record (EHR) systems. By bridging these critical data sources, you’ll empower cardiology practices and patient care teams to access and leverage information more effectively, enhancing clinical and operational decision-making and ultimately improving the quality of patient care. Key Responsibilities 1. Integrate, Develop and Maintain Interop Solutions Architect and implement workflows to extract and ingest clinical and scheduling data from partner EHR systems using healthcare data standards (e.g., HL7, FHIR, APIs), using a combination of partner-enabled, open source, and home-built solutions. Collaborate closely with product, engineering, and clinical teams to define and refine requirements for scalable, secure, and reliable interoperability solutions. Optimize data integration pipelines and troubleshoot issues to ensure high performance and reliability. 2. Operational Support for Early-Stage Integrations Act as the technical and operational lead during the initial phases of new client integrations, guiding partner organizations through setup and configuration. Diagnose and resolve data exchange or performance issues in real-time. Document best practices in a runbook to streamline future integrations and ensure consistent success. 3. Build Scalable and Secure Infrastructure Ensure full compliance with applicable regulations (e.g., HIPAA) and conformance to healthcare interoperability protocols. Design and implement solutions for managing large-scale data flows across multiple cardiology practices, diverse EHR vendors, and different system modalities (cloud, on-prem). 4. Collaborate with Customers and Internal Teams Serve as a primary point of contact for internal stakeholders and external partners to ensure seamless onboarding and ongoing success. Lead technical discussions with clinical aggregators, IT teams, and operational staff to address complex data exchange requirements. Bridge the gap between technical possibilities and clinical needs, ensuring solutions align with real-world workflows. Key Qualifications Technical Expertise Proven ability to develop and utilize RESTful and GraphQL APIs in production environments. Experience with microservices architecture, CI/CD pipelines, and DevOps practices (Docker, Kubernetes, or similar tools). Strong background in ETL/ELT workflows, data modeling, and data warehouse design. Familiarity with cloud-based infrastructure (AWS, preferred) for hosting and scaling data pipelines. Ability to implement monitoring and observability solutions for large-scale data flows Healthcare Interoperability Expertise Proficiency in EHR interoperability standards (HL7, FHIR, APIs) and ETL pipelines. Familiarity with common clinical data models and a proven track record in navigating healthcare interoperability challenges. Experience with cloud-based infrastructure (AWS preferred) and modern data warehouse and tooling solutions Problem-Solving and Scalability Skilled in designing practical solutions to complex data exchange and security challenges in healthcare. Experience creating repeatable, scalable processes and tools that will support future growth. Communication and Collaboration Strong customer-facing communication skills: able to explain technical concepts to clinical partners and gather requirements from non-technical stakeholders. Proven ability to work cross-functionally with engineering, product, and clinical operations teams in a fast-paced setting. Nice to Have Previous experience in cardiology, value-based care, or other specialized clinical settings. Knowledge of scheduling systems and workflows in clinical practices. Startup or rapid-growth environment experience, demonstrating adaptability and agility. Why Chamber? Mission-Driven Work: Contribute to impactful solutions that improve cardiovascular care for patients nationwide. Collaborative Team: Work alongside talented professionals who are passionate about technology and healthcare. Growth Opportunity: Be a key player in an early-stage company, with significant opportunities for personal and professional growth. Remote Flexibility: Work from wherever you’re most productive. If you’re excited to bridge technology and patient outcomes through data interoperability while enjoying a supportive, innovative environment, we’d love to hear from you. Apply now and join us in transforming cardiovascular care.

Position Summary The Lead Azure Data Engineer will be reporting to VP of Data Engineering and will be responsible for implementing data solutions and collaborating with Business Analyst, Data Analyst, IT Teams and key stake holders. This role will lead projects and coach junior staff on build and optimize data pipelines, integrating data from various sources, ETL (Extract, Transform, Load) processes and ensuring data quality and consistency. The Lead will ensure that our data engineering practices are aligned with the latest technologies and industry best practices, focusing on performance, reliability, and efficiency. What will your job entail? Job Responsibilities: Provide technical leadership in data architecture and engineering, collaborating with solution stakeholders to align data solutions with business objectives. Mentor less experienced data engineers and team members, fostering a collaborative and innovative work environment. Explore and implement new technologies and practices in data engineering to continually improve our data processes and infrastructure. Manage and enhance complex SSIS packages for data integration and ETL processes, along with SSRS reports for business intelligence. Design, build, and maintain scalable and efficient data pipelines using Azure Data Factory, implementing both batch and real-time data integration processes. Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments. Implement and manage data storage solutions using Delta Parquet files in Azure Data Lake Storage, optimizing for query performance and cost-efficiency. Integrate and configure Profisee Master Data Management tools within Azure, focusing on data governance and quality. Set up and manage Change Data Capture processes for real-time data synchronization in Azure data platforms. Implement data cataloging, classification, and lineage using Azure Purview, developing data governance policies, and ensuring compliance. Enhance and support Tableau reporting solutions, developing complex dashboards, and integrating with Azure data services. Drive automation and process optimization using Azure services and scripting and implement CI/CD pipelines using Azure DevOps. Lead SQL Server database optimization and performance tuning efforts. Lead, Coach and Mentor junior staff on projects.Work Experience and Education: Bachelor’s degree required, Master’s degree preferred; Computer science, Information Technology or Engineering is preferred. Any other related discipline or commensurate work experience considered. 12+ years of experience in Data Engineering with a Bachelor’s degree, or 8 years of experience with a Master’s degree is preferred. Subject Matter Expert in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services. Proficiency in Profisee MDM Integration, Change Data Capture implementation, and data quality and governance with Azure Purview. Proven experience in Tableau and BI Reporting, and strong skills in Automation and ProcessLicenses & Certifications: Advanced Data Analytics Certifications (ADAC), SAS Statistical Business Analyst Professional Certification (SBAPC), or Cloudera Certified Professional (CCP) Data Engineer a plus.Skills:Technical/Functional Skills: Big Data Analytics Leadership Data Governance Data Modeling Data Processing Data Warehousing Database Management Knowledge of ETL processes Machine Learning Predictive Analysis Programming LanguagesBehavioral Skills: Critical Thinker Communication Relationship Building Effective Communication Time Management Problem Solving Attention to Detail Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment. How We Support Our Teammates Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them — and their family members — achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more. The target salary range for this position is $140,000.00 - $175,000.00 annually. The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/. We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at HR@Ryansg.com The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

About Lantern Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com. About You: You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins. INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with. You have the GRIT , drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas. You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren’t just the individuals using your product. They are the driving factor in your motivation to make a change. Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear. You thrive in a Team Environment. Collaboration is key in innovation and creating change. These pillars of LIGHT are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this LIGHT , individuals can find their way to the best care, resources, and support they need to get back to life. If this sounds like you, we would love to connect to speak further about career opportunities at Lantern. Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process. JOB OVERVIEW Lantern is looking for an experienced Data Warehouse Engineer to join the growing Analytics Engineering team. This role will focus on building and maintaining robust ELT pipelines, designing scalable data models, and optimizing analytic performance within the Lantern Analytic Platform. The ideal candidate will have hands-on experience with Azure Data Factory, Fivetran, and dbt, and a strong understanding of modern data architecture and performance tuning. Location: USA, Dallas preferred Responsibilities: Implement and Monitor ELT Pipelines: Design, develop, and maintain scalable ELT workflows using Azure Data Factory, Fivetran, and dbt. Proactively monitor pipeline health and troubleshoot issues to ensure reliable data delivery. Data Modeling and Collaboration: Partner with data analysts to understand business needs and translate them into efficient, well-documented data models using dbt. Continuously refine models to support evolving analytic requirements. Analytics Platform Optimization: Manage and optimize the Lantern Analytic Platform by monitoring query performance, implementing data partitioning strategies, and refining data models to enhance speed and efficiency. Requirements: Bachelors degree in computer science or related field 3-5 years of experience with reporting and analytics Proven experience with ELT tools such as Azure Data Factory, Fivetran, and dbt Strong SQL skills and understanding of data warehousing concepts Experience with performance tuning and data model optimization Ability to collaborate effectively with cross-functional teams Familiarity with cloud data platforms (e.g., Azure, Snowflake, BigQuery) is a plus Strong Candidates Will: Have experience with SQL and Python within the healthcare industry, and demonstrate the ability to learn new business models and technologies Benefits : Medical Insurance Dental Insurance Vision Insurance Short & Long Term Disability Life Insurance 401k with company match Paid Time Off Paid Parental Leave Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description OBJECTIVES/PURPOSE: Reporting to the Head, Global Regulatory Operations (GRO), the Head of Global Regulatory Information, Data and Systems (GRIDS) is responsible for developing and implementing a comprehensive GRIDS strategy. This pivotal role ensures Takeda’s regulatory data integrity while driving the adoption and efficiency of Regulatory systems globally. This role involves guiding and mentoring a team of experts, driving regulatory data quality confidence, ensuring global system reach and adoption, and enhancing efficiency through data connectivity across Global Regulatory Affairs (GRA), Research & Development (R&D), and the enterprise. Additionally, the role leads accurate and timely reporting for both common and ad hoc regulatory affairs questions. ACCOUNTABILITIES: Global GRIDS Strategy Development and Realization: In partnership and collaboration with GRA and GRO leadership, Takeda IT functions, R&D cross-functional, and enterprise stakeholders, develop and align global GRIDS strategy and roadmap. Execute and track GRIDS strategy through agreed to set of milestones, key deliverables, activities, and monitor progress through metrics. Proactively identify and manage risks and issues. Ensure ongoing stakeholder engagement and awareness throughout. Align and structure internal GRIDS team to enable strategy realization and deliverables. Define team roles and responsibilities and ensure alignment across GRO and other functions to ensure clarity and synergy. Develop and implement team norms and ways of working, driving delivery focus and prioritization. Actively mentor and guide direct reports in the execution of deliverables. Ensure external vendor support for GRIDS activities is clearly defined and, in partnership with Business Operations team, is delivering to specified service level agreements. Actively provide vendor oversight and engage with vendor(s) to ensure process and ways-of-working clarity and adoption. Data Governance and Sustainability: Establish robust regulatory data governance and stewardship practices and ensure data quality assurance for authoritative regulatory data sources. Proactively drive data remediation efforts as needed to ensure high data quality. Lead initiatives for regulatory information standards adoption and ensure organizational readiness to meet regulatory requirements, including eCTD4, SPOR/IDMP, and CTIS/EU CTR. Oversee master data management for regulatory data and partner/ drive connectivity with RD and enterprise systems. GRIDS Data Analytics: Drive GRIDS business intelligence and data visualization capabilities to support data-driven decision making for Therapeutic Areas Units (TAUs), regulatory leadership, and other stakeholders for pipeline realization and post-approval lifecycle management. Provide standard regulatory reports and dashboards and produce ad-hoc and custom regulatory reports as requested. GRIDS System Business Ownership: Partner with Takeda IT functions to drive the evolution, interoperability, data sharing, and integration of Takeda’s global GRIDS systems. Ensure business requirements are identified and adequately translated into system and supporting business process functionality. Support system release management, data migration and validation activities. Collaborate with GRA functions, regions, and local operating companies (LOCs) to drive system adoption and utilization. CORE COMPETENCIES: Strategy Development: Ability to create and implement long-term GRIDS strategies with a forward-thinking approach. Influential Communicator: Exceptional communication skills to articulate complex regulatory data concepts effectively. Collaborative Leader: Strong leadership qualities to guide cross-functional teams and drive organizational change. Innovative Thinker: Proactive in embracing innovation and leveraging technology to enhance RIM processes. Results-Oriented: Focused on achieving measurable outcomes and driving continuous improvement. Analytical Skills: Strong analytical skills to interpret regulatory data and deliver insightful reports and visualizations. QUALIFICATIONS: Minimum Bachelor's Degree, MS preferred; 15+ years of experience in the life sciences, particularly in Regulatory Affairs and Regulatory Information, Data and Systems. Experience in leading global Regulatory Information, Data and Systems capabilities and teams. Credibility and experience engaging at senior levels for the development and alignment of GRIDS strategy. Ability to hold strategic conversations with Regulatory, R&D and enterprise stakeholders regarding global Information Management processes and systems and the regulatory applications and their use within Regulatory execution. Demonstrated experience in designing and implementing RIM digital transformation with proven ability to innovate across business processes and technology solutions. Experience with regulatory processes and technology for submission document authoring, submission publishing/validation/viewing, registration and commitment tracking, and regulatory document archiving. Experience with regulatory data standards, such as xEVMPD and IDMP. Deep understanding of the entire R&D value chain, particularly data taxonomies and domain integration. Understanding of global drug development & regulatory processes. Experience with Veeva RIM platform for health authority registration management. Experience directly working with Registration Management, Submissions, Submissions Archive, and Publishing technologies, a plus. Proven track record of thought leadership through industry presentations, publications, or other mechanisms, a plus. This position is currently classified as “hybrid” by Takeda’s Hybrid and Remote Work policy Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $208,200.00 - $327,140.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained , certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based e mployee s may be eligible for s hort - t erm and/ or l ong- t erm incentive s . U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time Job Exempt YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university’s top intellectual talent. As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you: Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry Opportunities to work on team-based and individual projects Visibility to industry experts Job Qualifications: Familiarity with R, SQL, Python, or other scripting languages Proficiency in Microsoft Excel Attention to detail with big-picture understanding Ability to work well in teams Highest ethical standards All education levels (Bachelor's, Master's, or Ph.D.) welcome Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.