137 jobs found

Job Description Job Description Description: CoinFlip is a global digital currency platform company focused on providing consumers with simple and secure access to buy and sell cryptocurrency. The company operates the world's largest network of cryptocurrency kiosks by transaction volume, with more than 5,500 kiosks across 49 U.S. states, Puerto Rico, Canada, Australia, New Zealand, South Africa, Italy, Panama, Brazil, Mexico, and Spain. CoinFlip's digital currency kiosks make buying and selling major cryptocurrencies accessible for consumers who wish to purchase digital currency using cash. CoinFlip also operates CoinFlip Preferred, a personalized over-the-counter service that provides investors with custom, white-glove support for their cryptocurrency transactions. In 2022, CoinFlip launched CoinFlip Ventures, an investment group offering coaching, funding, and networking support to early-stage crypto and web3 projects. We also offer the CoinFlip Crypto Wallet, a self-custodial cryptocurrency wallet available for iOS and Android devices. CoinFlip was founded in 2015 by Daniel Polotsky, Kris Dayrit, Alan Gurevich, and Ben Weiss. Headquartered in Chicago, CoinFlip placed in the top 500 on the 2021, 2022, and 2023 Inc. 5000 list, and on the 2022 and 2023 Deloitte Technology Fast 500, was named the 2021 and 2022 fastest-growing company in Chicago by Crain's, ranked in Chicago Tribune's Top Workplaces in 2021 and 2022, and was awarded the 2021 and 2022 Stevie Awards for Customer Service. To learn more about CoinFlip and how to get started on your digital currency journey, visit . The Cash Operations Specialist plays a critical role in managing the physical cash lifecycle across CoinFlip's BTM network. This position is responsible for monitoring cash levels, coordinating replenishments, reconciling transactions, and ensuring operational efficiency and compliance across all cash-related processes. Responsibilities: Monitor and manage cash levels across CoinFlip's ATM/BTM network to ensure optimal uptime and liquidity Coordinate cash loading and collection activities with armored carriers and service partners Perform daily, weekly, and monthly cash reconciliations and investigate discrepancies Track and analyze cash usage trends to improve forecasting and reduce operational costs Maintain accurate records of cash movements, settlements, and variances Partner with Finance, Compliance, and Operations teams to ensure adherence to internal controls and regulatory requirements Support incident resolution related to cash shortages, overages, or machine errors Assist in optimizing cash logistics, routes, and vendor performance Contribute to process improvements and automation initiatives within cash operations Other duties as assigned Qualifications: 2+ years of experience in cash operations, treasury operations, banking, or ATM/financial services environments Strong attention to detail and high level of accuracy in reconciliation work Experience working with cash logistics, armored carriers, or ATM networks is a plus Proficiency in Excel or Google Sheets (pivot tables, lookups, data analysis) Ability to analyze data and identify trends or discrepancies Strong organizational and time management skills Excellent communication and problem-solving abilities Comfortable working in a fast-paced, high-growth environment Compensation: Annual Base Salary: $17,000-$24,000 USD based on market and experience of candidate Working at CoinFlip means collaborating with experienced and innovative leaders who share a clear vision and a track record of success. We offer a collaborative and positive working environment where we encourage employees to balance productivity with time to recharge. Compensation is above and beyond a typical "startup" - we offer competitive salaries, performance-based incentives, and competitive benefits for full-time employees. CoinFlip values diversity in the workplace and is an equal opportunity employer committed to providing an inclusive and accessible work environment. We thank all candidates who apply, but only those selected for an interview will be contacted. By applying to this role, you give express consent to CoinFlip to send you informational text (SMS) messages regarding this role and the application process. You can cancel the SMS service at any time by replying "STOP" to the text message you received. If at any time you forget what keywords are supported, just reply "HELP." Message and data rates apply. If you require a special accommodation, please let us know and we'll work with you to meet your needs Requirements:

Job Description Job Description At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms. Our systems will give customers access to computational breakthroughs that were out of reach until now. Join a world-class team of scientists, engineers, and business professionals advancing the state of the art in quantum computing. We are seeking a Principal System Integration & Test Lead with deep atomic, molecular, and optical (AMO) physics and quantum-computing knowledge. You will be the technical authority for whole-system integration: taking complete neutral-atom quantum computers from assembled subsystems to atom-ready machines, then handing each one to our Quantum Engineers (QEs) for testing with atoms. This is a hands-on technical leadership role reporting directly to the VP of Manufacturing. Responsibilities Own whole-system integration across optics, laser delivery, vacuum interfaces, radio-frequency (RF) controls, timing, and instrument software for neutral-atom quantum computers. Apply AMO knowledge to define hardware-readiness checks. Agree integration, alignment, and handoff criteria with QEs and Systems Engineering. Work alongside QEs on first-of-a-kind systems to establish repeatable integration sequences, alignment methods, diagnostics, and recovery procedures. Perform and guide system-level optical alignment, laser-delivery checks, controls checkout, and applicable safety checks before atom-based verification begins. Mentor and train integration engineers and technicians. Define the qualification path for new team members, and advise leadership on staffing and on scheduling shared instruments across concurrent builds. Lead cross-subsystem troubleshooting. Work with laser, controls, subsystem, and QE specialists to resolve hardware and interface problems. Support hardware corrections during QE testing. Partner with Manufacturing Engineering to reduce alignment rework and shorten repeat-build cycle time. Experience & Education PhD in physics, applied physics, optical engineering, electrical engineering, or a closely related discipline, or comparable professional experience. 10+ years of experience in experimental AMO physics, quantum hardware, or precision laser-system integration. 3+ years providing technical leadership on multidisciplinary teams, with demonstrated responsibility for integration readiness, complex fault isolation, and laboratory execution. Qualifications Strong understanding of neutral-atom quantum computers, including atom trapping, optical addressing, coherent control, and readout. Hands-on capability in optical alignment, laser stability diagnostics, vacuum interfaces, and synchronized RF and control systems. Practical AMO knowledge, including laser-atom interactions and laser cooling and trapping, sufficient to resolve integration issues directly with experimental physicists. Ability to interpret diagnostic data, evaluate automated checkout methods, and isolate hardware or software-interface faults. Laboratory automation experience is preferred. Proven technical leadership and readiness-review discipline, with a record of mentoring colleagues toward qualification while preserving the separate QE acceptance gate. Capable of lifting and moving objects that weigh up to 25 pounds. Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The base salary range for this position is between $200,000 - $230,000, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description About the Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We're looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets. Now is an exciting time to join Redhorse Corporation. We are redefining how the U.S. Government transforms data into operational advantage through artificial intelligence, graph analytics, and mission-driven software engineering. Our teams work alongside the Department of Defense to build secure, scalable capabilities that enable analysts and decision-makers to move faster, reason better, and operate with greater confidence. Our approach combines human-centered design, modern software engineering, graph technologies, artificial intelligence, and agile delivery to solve some of the nation's most challenging problems. About the Role We are seeking an analytical, forward-thinking Junior Graph Data Engineer to help build, scale, and maintain the Enterprise Semantic Map - our ontology-grounded metadata graph. In this role, you will help move the enterprise beyond traditional, static cataloging by supporting an automation-first approach. You will develop programmatic data and API integrations, help configure graph database structures, and support emerging agentic workflows that discover and catalog disparate data sources across the enterprise. Working alongside graph, data, and engineering teams, you will help align these assets to enterprise semantic and provenance layers so data is discoverable, understandable, trusted, and dynamically composable for human analysts, applications, and downstream AI agents. Success in this role requires foundational coding skills and a systems-thinking mindset: an ability to understand how data pipelines and tool integrations affect the broader enterprise architecture, search and discovery, and downstream agentic research workflows and use cases. Key Responsibilities 1. Automated Source Discovery & Metadata Ingestion (Technical Metadata) Supplying the "Raw Ingredients" for the Semantic Knowledge Graph: Assist in designing and deploying automated pipelines that programmatically discover enterprise data assets and interface with existing data catalogs. Scan, catalog, and ingest technical metadata - including schemas, tables, columns, and API endpoints - from legacy, cloud, and distributed environments to establish baseline assets for alignment to the Enterprise Core Ontology. Scaling the Semantic Map: Use automated pipelines and orchestrated workflows to ingest metadata at scale rather than relying on manual, field-by-field mapping. Help keep the ontology current as a dynamic, living "semantic control plane" rather than a static document. Establishing the Entry Point for Lineage: Register the technical origin of ingested data and capture metadata at the point of ingestion. This creates the foundation for automated provenance chains that track where data originated and how it changes over time. 2. Semantic & Provenance Mapping (Semantic & Lineage Metadata) Ontological Alignment Support: Collaborate with senior engineers to align discovered data elements from local systems to the shared Enterprise Core Ontology and specialized Domain Ontologies, with particular attention to compatibility with established institutional frameworks (e.g., DIA's DIKEM). Preserve local naming conventions while establishing standardized, shared meaning. Lineage Tracking Support: Help engineering teams construct and maintain data lineage chains within the Provenance Layer, following applicable industry lineage standards to document where data originates, how it is transformed, and who governs it. Graph Querying Support (Growth Area): As your technical skills develop, write and test basic graph queries to support metadata retrieval, logical validation, and graph manipulation. 3. Enterprise Systems Thinking & Alignment Big-Picture Integration: Evaluate how newly integrated data sources and automated pipelines affect the broader Enterprise Semantic Map, selected use cases, downstream consumers, and enterprise search and discovery. Downstream Awareness: Connect data assets to relevant mission metadata so technical capabilities can be clearly linked to the mission workflows they support. Governance Compliance: Help ensure enterprise assets are associated with appropriate governance metadata, including ownership, classifications, handling rules, and access constraints. Support the translation of complex data policies into machine-readable semantic structures. 4. Smart Search & Agent Enablement Semantic Control Plane Maintenance: Help maintain and optimize the Enterprise Semantic Map within enterprise graph database platforms so human analysts, applications, and autonomous AI agents can efficiently search, navigate, and discover resources. Agent Integration Support: Collaborate with AI engineers to help planning, research, and tool agents dynamically query the graph and build grounded, trustworthy reasoning and retrieval strategies. Required Experience/Clearance Bachelor's Degree with 1+ of relevant professional experience or equivalent. Active TS SCI Clearance. Core Technical Skills: Foundational proficiency across the following areas, demonstrated in any comparable technology: Programming and scripting for automation (e.g., Python, Java, or a comparable general-purpose language) Relational database querying (e.g., SQL) Structured and semi-structured data formats (e.g., JSON, XML, YAML) Knowledge graph concepts, including nodes, edges, relationships, and metadata schemas Foundational Data Engineering: Basic understanding of data structures, databases, and how data moves through pipelines or ETL (Extract, Transform, Load) processes. Systems-Thinking Mindset: Ability to understand how individual data pipelines connect to and support a broader enterprise ecosystem. Attention to Detail: Precision in aligning metadata terms, formatting data endpoints, and maintaining technical schemas. Collaboration & Communication: Ability to take direction from senior engineers, document work clearly, and explain technical decisions to non-specialist stakeholders. Preferred Qualifications Graph Query Languages: Exposure to - or willingness to learn - graph query languages for metadata retrieval and validation (e.g., Cypher for property graphs, SPARQL for RDF/triple stores). Graph Database Platforms: Conceptual familiarity with modern enterprise graph database platforms. Agentic AI & AI Frameworks: Basic conceptual understanding of, coursework in, or project experience with LLM orchestration or agentic workflows. Data Lineage & Metadata Standards: Exposure to open lineage specifications or metadata management frameworks. Standard Ontologies & Semantic Models: Conceptual familiarity with established government- or defense-related semantic models that support standardized enterprise data integration. Data Catalogs: Familiarity with metadata catalog environments and data stewardship systems. Workflow Orchestration: Exposure to pipeline scheduling and orchestration tooling. The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable. Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent- Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse's changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse's sole discretion. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Description: GENERAL SUMMARY This position is responsible for operating and maintaining digital print equipment to produce a variety of print jobs. ESSENTIAL JOB FUNCTIONS • Maintain equipment to maximize performance through preventative maintenance (PM). To maintain the equipment, this includes troubleshooting, basic maintenance and repair, and the rip process. • Responsible for meeting productivity, understanding color management, conducting quality checks and ensuring image quality is up to standard, and meeting deadlines. • Responsible for operating various digital equipment to include printing presses, cutting, and finishing equipment. • Prepares set up to include files, materials, and equipment for printing and finishing. • Responsible for selecting and installing the proper anilox roll, plates, and dies for flexo jobs, when necessary. • Utilizes general computer knowledge along with desktop publishing, impositioning software, printing software, and printing technology knowledge to execute daily tasks. • Communicates with supervisor and/or inventory specialist to ensure equipment inventory levels are maintained. • Maintains a safe, clean, and organized workspace. • Complies with safety standards and regulations required by OSHA/MIOSHA. • Uses Monarch to log time and materials. • Interacts daily with supervisor/manager and with the operator of the presses on other shifts to schedule deadlines. • Attends training sessions and/or classes to remain current with techniques and technology. • Performs other duties as requested. Requirements: JOB SKILLS & EXPECTATIONS • Comprehensive computer skills. • Ability to work consistently and efficiently with minimum disruptions. • Excellent organizational skills. • Basic mathematical skills. • Strong verbal and written communication skills. • Basic mechanical skills. • Excellent time management. • Strong attention to detail and accuracy. • Ability to apply written instructions to machine setup. • Adheres to safety expectations, standards, and regulations put forth by the Company and required by OSHA/MIOSHA. • Excellent problem-solving skills with the ability to present information when necessary. • Ability to use critical thinking skills. • Strong knowledge of digital printing is preferred. • Strong knowledge of printing equipment is preferred. LICENSE OR CERTIFICATE REQUIRED • None EXPERIENCE OR TRAINING REQUIRED OR PREFERRED • High school diploma or equivalent • Equipment certifications for technology and maintenance is preferred

Job Description Job Description Network Engineer Location: Clayton, NC Work Arrangement: Onsite, Monday-Friday, 8:00 AM-5:00 PM EST Job Summary We are seeking a hands-on Network Engineer to support network infrastructure design, deployment, and implementation for manufacturing facility projects. The ideal candidate will have experience with enterprise Cisco networks, network equipment installation, and troubleshooting in a production environment. Key Responsibilities Support network design, builds, provisioning, and implementation. Perform rack-and-stack, network cabling, installation, and configuration of routers, switches, wireless controllers, and access points. Troubleshoot network connectivity and infrastructure issues. Collaborate with IT architects, application specialists, quality teams, and business stakeholders. Follow applicable network standards, security requirements, and site safety procedures. Required Qualifications Approximately 5 years of experience in network infrastructure or technical services. Hands-on experience with enterprise Cisco networking equipment. Strong knowledge of routing, switching, wireless, VPN, MPLS, TCP/IP, DNS, and SNMP. Experience with network implementation planning and troubleshooting. Strong communication, teamwork, and customer service skills. Ability to work onsite in a manufacturing environment and lift equipment weighing up to 33 pounds. Preferred Qualifications CCNA or CCNP certification. Familiarity with SolarWinds and AlgoSec Firewall Analyzer/FireFlow. Knowledge of NIST standards, network infrastructure requirements, and GxP/pharmaceutical industry compliance.

Job Description Job Description Overview About M.C. Dean M.C. Dean is Building Intelligence. We design, build, operate, and maintain cyber-physical solutions for the nation's most mission-critical facilities, secure environments, complex infrastructure, and global enterprises. With over 7,000 employees, our capabilities span electrical, electronic security, telecommunications, life safety, automation and controls, audiovisual, and IT systems. Headquarters in Tysons, Virginia, M.C. Dean delivers resilient, secure, and innovative power and technology solutions through engineering expertise and smart systems integration. Why Join Us? Our people are passionate about engineering innovation that improves lives and drives impactful change. Guided by our core values-agility, expertise, and trust-we foster a collaborative and forward-thinking work environment. At M.C. Dean, we are committed to building the next generation of technical leaders in electrical, engineering, and cybersecurity industries. We are seeking a Network Technical Specialist 4 to join our Security and Electronic Systems (SES) business Unit. As part of (SES) Strategic Business Unit you will be part of a team that designs, engineers, integrates, operates and maintains electronic security services inclusive of intrusion detection, access control, biometric authentication, video surveillance, audio visual, it systems, perimeter defense and command and control systems for federal, local and commercial customers across high-growth markets. Responsibilities The Network Engineer 4 is responsible for the design, implementation, configuration, and troubleshooting of the organization's network infrastructure. This role involves ensuring the stability and performance of the network. The Network Engineer works to maintain network reliability, resolve issues promptly, and collaborate with other IT teams to ensure that networking systems support the organization's operational needs. Network Engineer will monitor equipment, update configurations, and repair equipment as necessary. Technical Responsibilities: Survey Reports measurement results in actionable form to more senior personnel and management. Conducts any surveys, inspections, tours, etc. of client sites, as required Design: Install, configure, and maintain network services, equipment, and devices. Work closely with the field engineers to simulate expected system level performance and provide quick feedback on potential improvement Assist senior network engineers to identify and resolve network security issues. Develop network designs for each SLA classification. Originates design documents for small projects and in support of large programs Assists Senior Engineers in preparation of Designs, including Narrative Design Documents, Systems Designs, Subsystem Designs (CAD / Panels / Layouts / Wiring / Hardware / Communications) Preparation of Specifications, Perform QA/QC and technical reviews of designs. Comment Resolution Testing & Commission Review / Approval of test plans (Safety / Risk / Manufacturability) Author test plans Leads / supervises testing activities Author testing / commissioning procedures Preparation of test reports Commissioning of deployed systems Development of test fixtures and simulation devices Generates standard PITCO plans and procedures. Design and perform complete system integration test Service & Maintenance: Troubleshoot and debugging complex network problems and recommending operational efficiency improvements Preventative maintenance (software/hardware/firmware upgrades) including security updates, performance upgrades and schedule maintenance. Originate and submit maintenance plan and provide role back plan. Serves as backup for team members during paid time off. Perform hardware / software upgrades and replacements on existing systems System Analysis and Reporting: Documents the crucial working procedures and troubleshooting of network operations. Employs moderate understanding of network administration as related to business operations. Assists team members in identifying and resolving basic/moderate Network/Telecom issues. Interprets and analyzes results versus established benchmarks and goals. Works with project managers to meet expectations for Network tasks. Completes project tasks and assignments to meet project deadlines. Contributes to own team and closely related teams through quality and accuracy of output. Performing research on available technologies and products as needed by the Operations or Project managers Managerial Responsibilities: Prepares cost estimates and supporting documents for projects Assists senior engineers in preparation of Bids and Proposals cost estimates and supporting documentation Pricing of change orders Assist in developing and adapting documents, procedures, and formal processes for the Network Engineering team members to accomplish Company project planning (PKOM's and gate checks) Collaborates with other disciplines to define work / interfaces. Role Specific Responsibilities: Cisco Certified Network Professional (CCNP) Certification is required Provides networking equipment inventory management, including reconciliation of network equipment in the field with the Division's inventory system Documents network information including all switching and routing equipment, connected or soon-to-be-connected IP-addressable devices, and all cabling interconnects Provides expert support services necessary to augment network engineering staff Assists with day-to-day network maintenance to include installation, configuration, operation, and troubleshooting of switched networks and network equipment Reviews and analyzes current network processes and procedures Develop and recommend improvements to network processes and procedures Implements, manages, and maintains approved network process improvement recommendations Develops and implements quality assurance and control plans for network maintenance Reviews, analyzes, documents, and implements network disaster recovery plans Researches, designs, and implements security solutions for network infrastructure Tracks and reports identified information system vulnerabilities Monitors, reviews, analyzes, performance tunes, and make recommendations to optimize network Manages firewall security appliances Keeps the Division abreast of emerging network technologies and the latest network standard Leads projects as an Engineering Lead and/or Project Manager to develop secure, resilient systems Prepares conceptual designs, schedules, and cost estimates for new and modified systems Conducts design reviews Qualifications Clearance/Citizen Type: Applicants selected will be subject to a government security investigation and may meet eligibility requirements, including U.S. Citizenship, for access to classified information. Top Secret with ability to obtain SCI Education: High School Diploma + 12 years experience required or Associates degree + 10 or Bachelor's degree in engineering, Computer Science, Information Technology (IT) or a related discipline 7+ years Progressive Experience Technical Skills: Understanding of ITIL (Information Technology Infrastructure Library) concepts. Moderate understanding of security issues and implications for network solutions. Moderate knowledge of network concepts, technologies, tools and philosophies, and the ability to design an organization's network infrastructure and services. Moderate knowledge of system development methodology, project management, system architecture and analytical/problem solving skills. Communication Skills: Strong oral, technical writing, and presentation skills Ability to build productive relationships with team members, clients and other network/system stakeholders. Ability to establish working relationships with others outside area of expertise. Behavioral Skills: Must be able to balance high quality standards with schedule pressures and demanding environment. Must be a resourceful self-starter, flexible, pro-active, solution-oriented and customer-oriented. Recommended Experience and Certifications: Experience in reading network and connectivity schematics and plans Experience in reading network installation schematics and plans Experience in network system startup, configuration, and calibration Experience in testing and troubleshooting Experience using basic electrical and machinist hand tools Experience using testing, calibration, or industry-specific tools and software (spectrum analyzer, cable tester, Alignment tool) Tools/Software Experience in computer networks Experience with ticketing and monitoring toolset. Experience in one or more IT/Network platforms, such as: Cisco, AllenBradley, Juniper, PaloAlto, NetGear, etc. Experience in one or more network related hardware and software. Standard Network Software (Visio, Wireshark, Putty, CLI, etc) ITIL 4 Foundation Microsoft Certified: Windows Server Hybrid Administrator Associate . click apply for full job details

Job Description Job Description JOB TITLE: Manager, IP Network Services DIVISION: Buckeye Broadband DEPARTMENT: IP Services JOB SUMMARY: The Manager, IP Network Services, is responsible for the high-level success and overall day-to-day performance of the IP Network team. The Manager, IP Network Services is expected to understand the existing technical architecture, plus the overall technical vision for the IP-Data Network, and use it in overseeing the creation of executable plans and manageable timelines for each budget year. The Manager, IP Network Services, ensures projects and priorities align with the expectations of the relevant business units, maintains regular communication with project stakeholders, and ensures projects are completed on time and within budget. The Manager, IP Network Services coordinates activities for the IP Service department and manages operational events and outages. The Manager, IP Network Services reports directly to the Director, IP Services. Direct reports to the Manager, IP Network Services are: IP Network Services Engineer - I & II IP Operations Engineer - I & II The Manager, IP Network Services Interfaces with the following Key personnel: Buckeye Broadband Management team & staff, MaxxSouth management team & staff, Telesystem management team & staff, Equipment & Software vendors, and Large Enterprise Customers. ESSENTIAL JOB FUNCTIONS: The Manager, IP Network Services is accountable for the following functions for the business units served by Buckeye Broadband: Oversees the work of the IP Network Services team to ensure strict adherence to departmental standards for planned or unplanned project deliverables, project documentation, and project timelines based on existing priorities. Manages all IP Network Services project activity, allocates time, resources, and ensures that projects are completed on time and on budget. Manages both internal and external communication on all IP Network Services projects and ensures that all stakeholders are kept up to date on project status. Oversee schedules, sequences, and assignments for work activities, based on work priority and skill sets of personnel. Manage escalations into the IP Network Services team from other departments or divisions. Manages communication with various vendors/ manufacturers to ensure proper requisition of materials and supplies in support of planned projects. Monitors daily/weekly project KPI's and reports pertaining to active projects, resource allocations, and project timelines-this data is then used to maintain an understanding of where all projects stand with respect to planned completion. Communicates and ensures compliance with corporate, departmental or work policies, procedures, and service standards in conjunction with senior management. Manages the recruitment, interviewing, and selection of new employees for the IP Network team. Acquires and maintains a high-level, yet working knowledge of all equipment, systems, and software proposed or implemented by the department. Ensures that technical development for the IP Network Services team is aligned with departmental objectives and with industry standards. Participates in management on-call to give direction and provide input for the on-call engineer during outages or events. Handles executive escalations. Identifies gaps in employee skill sets and works to develop employees using both internal and external resources. Assist in building the Capital budget plan based on Business Unit direction, capacity growth & operational requirements, and departmental needs as part of the yearly budgeting process. Works with Lab R&D leadership to track lab activities relevant to IP Network Services projects and ensure alignment on priorities. Collaborates with HR, OD Specialist, and direct reports to develop and update an Individual Development Plan for continual improvement and personal accountability. Provides guidance and direction to subordinates, including setting performance standards and monitoring performance. Behaves ethically and influences to do the same. Consistently follows policies, procedures, and guidelines of the organization. Establishes self as a credible and trustworthy source for employees. Establishes vertical and horizontal relationships to achieve work activities. Follows and enforces the Company's policies and procedures, including the EEO guidelines and safety, at all times. Performs any miscellaneous duties as needed. JOB REQUIREMENTS: Education and Experience Associates degree from an accredited university with a major in Engineering, Telecommunications, Computer Science or other related technical degree and Five (5+) Years of related network and system design experience OR Seven (7+) years related network and system design experience - Required Demonstrable Project Management and group communication experience - Required Working understanding of the design and implementation of Service Provider network models and concepts - Required Working understanding of Service Provider routing and switching protocols (BGP, IS-IS, MPLS, RSVP, EVPN, STP, etc.) - Required Working understanding of IPv4 and IPv6 addressing - Required Advanced understanding and practical experience in leveraging Project Management tools (MS Project, Smartsheet, etc.) - Required Working understanding of IP Network security concepts including Firewalls, NAT implementations, and VPN based technologies - Required Working understanding of carrier grade equipment and application of: DWDM Muxes, Routers, Switches, Firewalls, etc. - Required Advanced understanding of the Atlassian software suite (Confluence, JIRA, Service Desk, Etc.) - Highly Preferred Working understanding of Automation & Orchestration concepts and implementations - Required Working understanding of Service Provider/ MSO access technologies (CMTS, GPON, Active Ethernet, Etc.) and associated provisioning systems - Required Core Competencies: Agile - Embraces change, adaptable and flexible, and sense of urgency. Innovative - Uses critical thinking, creativity, continuous learning, and challenges the status quo. Customer Focused - External/Internal, creates the exceptional customer experience, demonstrates a sales and service mentality. Collaborative - Teamwork, proactive knowledge sharing, constructive conflict. Accountable - See it, Own it, Solve it, Do it hold each other accountable. Job Specific Competencies: Develop Employees - Coach, empower, engage, mentor, and teach. Deliver Results - Strategic planning and execution, makes decisions in the best interest of the Company, knows and responds to the business climate, and manages ambiguity. Displays Leadership - Role model, communicates vision, possesses emotional maturity, manages risks, resiliency, and business acumen. Displays Technical Expertise - Keeps technical skills current, effectively applies specialized knowledge and skills to perform work tasks, understands and masters the technical skills, knowledge, and tasks associated with job, and shares technical expertise with others. Skills: Demonstrates effective project and planning skills. Demonstrates ability to conduct large-audience presentations. Demonstrated ability to present complex solutions. Demonstrated ability to execute Structured Project Management. Demonstrated ability to bring projects/assignments to completion within required time frames. Other Requirements: Background record that meets Company standards. Reliable means of transportation at all times. Strictly maintains confidentiality of financial and/or other information acquired in the course of work discloses only when authorized unless legally obligated to do so. Valid driver's license and driving record that meets company standards at all times. PHYSICAL DEMANDS Walking, kneeling, standing, stooping, sitting, driving, hearing, talking, vision (close, distant, color, depth perception, adjust focus), and use of hands and fingers. Light lifting of 50 lbs. is occasionally needed. WORKING CONDITIONS The Manager, IP Network Services is a full time, exempt position. The regular work hours are 8:00 a.m.-5:00 p.m., Monday - Friday. These hours may vary to accommodate the needs of the department. The Manager, IP Network Services reports to the Director, IP Services. The Manager, IP Network Services works in an automated business office environment with business office equipment including telephones, personal computers, copy machines, and FAX equipment. The Manager, IP Network Services is required to drive on the job as needed and is subject to regular MVR checks. He/she must maintain a valid driver's license and maintain a driving record the meets Company standards for an insurable driver at all times. Any time these conditions are not met, he/she must not drive on the job and must immediately report it to their Manager. The Company is a drug-free workplace. All employees are required to adhere to the Company's drug-free workplace programs and policies. Pre-employment testing is mandatory along with random testing throughout continued employment click apply for full job details

Job Description Job Description The IT Specialist/Network Engineer candidate must possess the skills and functional knowledge required to assist in design, planning, connectivity, Joint and Combined interoperability, and security for integrating new and innovative technologies and capabilities into existing network architectures. This position requires travel and some extended-hour surge periods to support integration of new capabilities into Joint and Combined exercises throughout the Indo-Pacific area of operation. Requirements: Meets the Minimum Credential requirements and maintains the minimum training requirements as identified in DoD 8570.01M; Possess skills in Customer Service and Technical Support, Data Administration, Knowledge Management, Network Services, System Administration, and Systems Security Analysis; Possess experience interfacing with Navy Marine Corps Intranet (NMCI) and other military Service networks; Be familiar with design objectives and goals for Joint All Domain Command and Control (JADC2) implementation; Possess current certification in CompTIA Security or equivalent and maintains necessary certifications and required forty (40) hours of annual continuing education (reference the DoD Approved 8570 Baseline IAT-II Certifications) Possess applicable CE/OS Certifications Demonstrated knowledge and experience using and installing networking equipment such as switches, routers and firewalls Demonstrated knowledge and experience with Security Technical Implementation Guides (STIGs) Demonstrated knowledge and experience with system patching and IA vulnerability alerts (IAVA), IA vulnerability bulletins (IAVB), and technical advisories (TA) Be able to perform hardware and software installation in a client/server environment Be able to support, monitor, test and troubleshoot hardware and software IA problems Be able to provide end user support for all IA related applications; Be able to perform routine maintenance, to include diagnostic testing and optimization; Be able to perform scheduled IA specific preventive maintenance of computer systems and network components; Possess a working knowledge and familiarity with applicable Cybersecurity instructions and practices (e.g., DoDI8570.01-M series- Information Assurance Workforce Improvement Program; CJCSM 6510.01 series- Defense-In-Depth: Information Assurance (IA) and Computer Network Defense (CND); DoD 8570.01M; and DoDI 8500.1 Cybersecurity). Roles and Responsibilities: Provides a resource of knowledge, experience, and consultation to Joint Innovation and Experimentation Division leadership and project managers to assure efficient, effective, and secure network operations for testing and experimentation. Use and install networking equipment such as switches, routers and firewalls. Perform hardware and software installation in a client/server environment. Perform routine maintenance to include diagnostic testing and optimization. Coordinate and implement software backup and antivirus IA requirements. Provide IA security oversight for the communications network devices to include coordinating with Information Assurance Manager on Information Assurance (IA) security measures, guidance, training, and assistance to other technicians on IA matters. Maintain knowledge of System Log-on Control Mechanisms (Windows, Red Hat etc.). Maintain understanding / familiarity with Information Assurance Vulnerability Management (IAVM); ACAS, HBSS as well as Virtual Machine Restore procedures. Ensure information ownership responsibilities; review and maintenance of IA certifications; security measures are incorporated in all training devices; security violations and incidents are properly documented and reported; IAM security procedures are implemented; all personnel are in compliance with security requirements. Perform comprehensive scheduled IA preventive maintenance of computer systems and network components. Provides the necessary monthly reports and keeps an accurate inventory. Performs other tasking as required or assigned by the Site Manager. Location USINDOPACOM J81, Camp H.M. Smith, Hawai i

Job Description Job Description Predicate Logic is looking for a motivated O&M Crewmember Communications/Network Specialist to join our team in Virginia Beach, VA to work aboard government operated Surveillance Towed Array Sensory System (SURTASS) assets operating at sea. Specialists will typically support a six (6) month on, six (6) month off rotating mission as a member of the SURTASS Operation Center (SOC) team. Founded in 1992, Predicate Logic is a woman-owned, employee-owned, high technology engineering service company. Predicate Logic's employees routinely receive many accolades and awards from its customers. The corporate headquarters is in San Diego, California. Predicate Logic also has offices in Chesapeake, Virginia, specializing in communications engineering, training, and Cybersecurity, and in Charleston, South Carolina, supporting the Navy and Marine Corps programs through Naval Information Warfare Center Charleston. SECURITY CLEARANCE: Applicant must have le for a Department of War (DoW) personnel security clearance. RESPONSIBILITIES: Stand watch in the SURTASS Operations Center (SOC) on board SURTASS Vessels to operate, maintain, troubleshoot, and repair SURTASS mission equipment to support Fleet requirements, including maintaining all required records and logs and monitoring and sending record Naval Message Traffic. Perform the operation, maintenance, troubleshooting, and repair of all C4I systems and networks on board SURTASS Vessels. Submit and/or verify trouble tickets are submitted to external command and actively work to resolve open trouble tickets. Perform preventative and corrective maintenance on all SURTASS mission equipment. Use trouble ticket application (e.g. WILD) to log all maintenance trouble tickets for action. Maintain accurate logistics inventory. Operate the shipboard test equipment pool used with SURTASS mission equipment to include verification of calibration status. Maintain technical library to support all SURTASS mission equipment. EXPERIENCE: Three (3) years of practical hands-on experience in maintenance, troubleshooting, and repair of data networks, digital computers, microprocessors, cloud computing environments and distributed data systems. Two (2) years of combined experience in the management, administration, maintenance, and repair of UNIX/LINUX and Windows based computer networks, including: ISNS, CANES, ADNS, CENTRIXS, and/or SCI Navy systems (or equivalent type network); Windows based network management and administration; Cisco routing and switching, and server and router configuration and management; UNIX/LINUX based processing systems management; and other networking tools, software, and appliance. Demonstrated experience in Radio Frequency (RF) solutions, network security, Quality of Service (QOS), and Voice over Internet Protocol (VOIP) for current shipboard networking systems required. Must be able to troubleshoot network connectivity issues, repair hardware, and perform daily tasks such as status reports, asset tracking, and generating/resolving trouble tickets. Demonstrated experience with updating systems, including operating systems, networking and storage templates, server design, storage allocations, and virtualization. Must be able to stage, image, and deploy laptop and desktop machines, as well as migrating data. Demonstrated experience in developing network automation solutions and experience with new network technologies including voice, automation, and other network technologies. EDUCATION: Associate Degree in Computer Science or be a graduate of US Navy Information Systems Technician "A" school or equivalent civilian Information Technology school. DoD 8140 IAT Level II Certification (CompTIA Security + CE or CISCO Security) Cisco Certified Network Associate (CCNA) certification or equivalent Operating System certifications for Configuring Windows 10 (70-697), Configuring Windows Server 2012 (70-410), Administering Windows Server 2012 (70-411), LINIX, UNIX or equivalent, and/or Database Management. Graduate of Navy Communications Security (COMSEC) Manager School, desired. Three (3) years of experience serving in a COMSEC Program, desired. Experience with Super High Frequency (SHF) communications (i.e. WSC-6, WCS-3, CBSP, Intellian Systems), desired. ADDITIONAL REQUIREMENTS: Must possess a U.S. Passport. Must be capable of passing a Mariner's Physical per COMSCINST 6000.1c and maintain medical fitness for this position. Equal Opportunity Employer/Veterans/Disabled Predicate Logic is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Job Posted by ApplicantPro

Job Description Job Description Hi Team, Please submit more profiles in Success Factor. Kindly share Quality profiles Primary skills required for this position Candidate Name Email-ID Contact Number Current Location Vendor Name Visa Status Rate EX HCL/SAP ITAP refno Role: Network & Telecom Engineer / Lead Location: 557 Broadway, New York, NY 10012 Buy Rate: $70 /hr Network & Telecom Engineer / Lead Combined (Dual-Track) Network & Voice/UC Role Summary Versatile senior engineer and technical lead to support both network and voice/UC services across local/office sites, data centers, and cloud. Owns incidents and changes end-to-end across the network-to-voice boundary where problems are often mis-triaged between teams. Should be strong in one track and genuinely operational in the other. Note: single-track specialists are also welcome (see the separate Network and Telecom job descriptions). This combined role suits engineers who can resolve cross-domain issues such as voice quality over the WAN, SIP connectivity through firewalls, and site turn-ups spanning LAN, wireless, and voice. What You'll Support Network: Cisco Nexus / IOS-XE routing & switching (OSPF, BGP, vPC, VRF, QoS), Palo Alto firewalls (Panorama), Cisco wireless FortiNAC, Client/TACACS, MPLS/IPsec WAN, and AWS/OCI connectivity. Telecom / UC: Cisco CUCM, Unity Connection, IM&P, Expressway, CUBE/Client and voice gateways, SIP trunks/DIDs, plus Zoom/Teams and contact-center platforms. Shared: local/office sites, data centers, and cloud (US, Canada, and international); SolarWinds and ServiceNow (ITSM/CMDB); PCI/SOC-regulated scope. Key Responsibilities Own complex incidents and changes across both network and voice; lead end-to-end P1 bridges. Resolve cross-domain issues (QoS-for-voice, SIP-over-WAN, remote-access/MRA, DMZ/firewall, DNS/certificates) without re-triage. Deliver combined site turn-ups and IMACs spanning LAN/WAN, wireless, and voice. Perform root-cause analysis, manage vendor/Cisco TAC cases, and set technical standards across both tracks. Mentor and uplift frontline teams on both domains; keep documentation and the CMDB accurate. Partner on cross-domain design, automation, and continuous improvement. Required Skills & Experience 10 years spanning enterprise network and voice operations, including senior or lead-level responsibility across both domains. Documented production experience in the secondary track not exposure only (e.g., a network-primary engineer who has run CUCM dial-plan and CUBE/SIP changes, or vice versa). Evidence of resolving network-to-voice incidents end-to-end is a strong differentiator. Comfortable with ITIL processes in ServiceNow and PCI/SOC boundaries; clear English able to lead cross-domain P1 bridges and write clean RCAs. Certifications CCNP-level minimum in the primary track (Enterprise or Collaboration); CCIE strongly preferred. Supporting credentials: Palo Alto (PCNSE) and/or AWS/OCI networking for network-primary; certificate/security and Cisco TAC experience for voice-primary.

Job Description Job Description Description: Position Summary Designs, develops, and maintains business intelligence dashboards, reports, and data visualizations that support Avum's internal operations and government mission programs. Transforms complex data in various formats into datasets to create clear, actionable insights for program teams, leadership, and government customers. Leverages advanced analytics, emerging AI, and automation capabilities to enhance reporting workflows, improve data quality, and accelerate analytics delivery. Key Responsibilities Design, build, and maintain interactive BI dashboards and reports using Tableau, QuickSight, Qlik, Appian or similar tools Develop and manage paginated and ad hoc reports for program teams, leadership, and government customers Build and optimize data models, calculated measures and data transformations to support accurate, scalable reporting Develop and maintain ETL processes for data extraction, cleansing, transformation, and loading from multiple sources Respond to ad hoc data calls and reporting requests from program teams and government customers with quick turnaround Perform data quality assurance, validation, and reconciliation to ensure reporting accuracy and data integrity Leverage AI-powered analytics features (e.g., AI-driven insights, natural language queries) to enhance dashboard capabilities and user experience Apply advanced analytic techniques to solve business problems and address needs Identify opportunities to automate recurring reports and data workflows using AI tools, scripting, or low-code platforms Collaborate with stakeholders to gather requirements, define KPIs, and translate business needs into effective data visualizations Present visualizations and findings to stakeholders and program teams Support data migration efforts, system integrations, and BI tool evaluation initiatives Create and maintain documentation for reports, data sources, data dictionaries, and standard operating procedures Monitor dashboard performance, troubleshoot data issues, and implement continuous improvements to reporting solutions Requirements: Required Qualifications Bachelor's degree in data analytics, information systems, computer science, statistics, or related 3+ years of experience in BI development, data analytics, or reporting Strong proficiency in Tableau, Amazon QuickSight, or similar BI platforms, including data modeling and calculated field development Experience with cloud-based BI platforms and data services (Databricks, Palantir Foundry, AWS QuickSight, Azure Synapse, Google Looker) Solid SQL skills with experience writing complex queries against relational databases (e.g., Redshift, Oracle, PostgreSQL, SQL Server) Experience designing star/snowflake schemas and building scalable data models Experience handling semi-unstructured and unstructured data Demonstrated ability to translate business requirements into clear, impactful data visualizations Experience with machine learning, predictive analytics, and other advanced analytics capabilities U.S. citizenship required Ability to obtain and maintain a Secret security clearance Preferred Qualifications Master's degree in data science, analytics, information systems, or related field Active Secret or Top Secret security clearance Experience with AI-enhanced analytics tools (e.g., Qlik Insight Advisor, Tableau AI, natural language query features) Python or R scripting skills for data manipulation, automation, or advanced analytics Familiarity with cutting edge standards for enterprise data architecture (e.g., Palantir Foundry Ontology, Appian data fabric) Tableau Desktop Specialist, Microsoft PL-300, or similar BI certification Experience with ETL tools or frameworks (SSIS, Informatica, AWS Glue, or custom pipelines) Familiarity with Appian, SharePoint, or other enterprise platforms Familiarity with DoD contract writing system data structures (Procurement Data Standard (PDS Experience supporting federal government or DoD customers Knowledge of federal compliance frameworks (CMMC, NIST 800-171) Google Associate Cloud Engineer or similar cloud certification Work Environment & Requirements Hybrid/remote work environment with potential on-site requirements based on contract needs U.S. citizenship required Security clearance: Ability to obtain and maintain a Secret clearance (active clearance preferred) Background check required Equal Employment Opportunity Avum, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class under federal, state, or local law. Avum is committed to compliance with Section 503 of the Rehabilitation Act and VEVRAA, and maintains an active Affirmative Action Plan.

Job Description Job Description Description: Position Summary Avum is seeking an AI/ML Integration Specialist to integrate artificial intelligence and machine learning capabilities into business applications and technology platforms. This role works with engineering, data, and business teams to turn AI solutions into reliable, secure, and scalable production capabilities. Key Responsibilities Design, develop, and maintain integrations connecting AI/ML models, APIs, and services with existing applications. Implement generative AI, large language models (LLMs), natural language processing, computer vision, and predictive analytics capabilities to support business needs. Build and maintain APIs, data pipelines, middleware, and integration workflows. Collaborate with data scientists, engineers, product teams, and business stakeholders to define requirements and move models from development into production. Evaluate and improve AI solution performance, scalability, security, reliability, and cost. Monitor deployed solutions, troubleshoot issues, and establish practices for testing, version control, deployment, and ongoing monitoring. Ensure solutions meet organizational security, privacy, governance, and responsible AI requirements. Document architectures, integrations, and operating procedures, and recommend emerging technologies that support business goals. Compensation The salary range for this position is $105,000 - $130,000 annually, with a target midpoint of $117,000. Actual compensation will be determined based on experience, qualifications, certifications, and geographic location. Avum offers a comprehensive benefits package including medical (Cigna), dental and vision (Principal), 401(k), PTO, education reimbursement, and certification reimbursement. Work Environment & Requirements Hybrid/remote work environment with potential on-site requirements based on contract needs U.S. citizenship required Security clearance may be required based on contract assignment Equal Employment Opportunity Avum, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class under federal, state, or local law. Avum is committed to compliance with Section 503 of the Rehabilitation Act and VEVRAA, and maintains an active Affirmative Action Plan. Requirements: Required Qualifications U.S. citizenship with the ability to obtain and maintain a U.S. Government security clearance. Bachelor's degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related field. Three or more years of experience in software engineering, systems integration, ML engineering, data engineering, or a related discipline. Experience integrating REST APIs, SDKs, microservices, and third party platforms. Strong programming skills in Python and/or Java, JavaScript, or TypeScript. Understanding of machine learning concepts, the model lifecycle, and AI application architecture. Experience working with databases, data pipelines, JSON, SQL, and cloud environments. Familiarity with Git, CI/CD, testing, logging, monitoring, and production deployment practices. Strong analytical, troubleshooting, communication, and problem solving skills. Preferred Qualifications Experience integrating LLMs and generative AI applications using OpenAI, Azure AI, AWS AI/ML, Google Cloud AI, or comparable platforms. Knowledge of retrieval augmented generation (RAG), vector databases, embeddings, and semantic search. Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn. Familiarity with Docker, Kubernetes, serverless architectures, and cloud native development. Experience with MLOps, LLMOps, and model monitoring. Knowledge of AI security, governance, privacy, and responsible AI practices. Experience integrating AI capabilities with Salesforce, ServiceNow, SAP, Microsoft Dynamics, or similar enterprise platforms.

Job Description Job Description Description: At AMPLIFII, we support Federally Qualified Health Centers who provide comprehensive services-including primary care, dental, pharmacy, behavioral health, health education, and outreach. General Purpose: This position is critical to the success of the revenue cycle. Bill and collect payments for services rendered from a variety of payor sources. The Revenue Cycle Specialist is responsible for timely and accurate coding, billing, claim denials, and payment posting. Essential Duties and Responsibilities: Resolve issues with incomplete and/or inaccurate patient registration Verify charges were entered correctly and update as needed. Work aged receivables utilizing A/R reports/functionality in revenue cycle management (RCM) module Review and assess adjudicated claims for timely and proper payment of outstanding balances Research, correct and resubmit or reprocess unpaid claims as necessary Verify validity of account balance by researching, reviewing, and ensuring accuracy or payment and adjustment posting Review and interpret explanation of benefits (EOB) for denials and reimbursement underpayments Research and resolve denials and underpayments with insurance carriers Submit third party payor appeals and reconsideration requests in a timely manner Meet department and/or organization productivity goals/benchmarks Post third party payors(s), government, grant funded and patient payments Respond to patient inquiries regarding billings Assist other staff as needed to keep department workload current Maintain communication with all interested parties regarding patient account issues Perform other duties as assigned Requirements: Education and Experience: Required: High school diploma or GED. CPC Certification preferred Skills and Expertise: Ability to interact positively and build rapport with patients, coworkers and/or external contacts Ability to work independently and organize work in a manner that ensures accuracy and efficiency Knowledge of medical electronic billing procedures and coding Ability to demonstrate the capability to effectively and sensitively respond to the needs and concerns of the patients. Customer service skills, including the ability to diffuse upset patients Basic math skills required; Basic excel spreadsheet skills and a basic understanding of accounting helpful Skill in using a variety of computer software including but not limited to the internet and MS Office products Ability to handle sensitive information ethically and responsibly Ability to protect the confidentiality of patients, employee and business information Bilingual Spanish is preferred Must be experienced in working in a fast-paced environment and be able to multi-task and prioritize Required Tools of the Job: Epic EHR Revenue Cycle applications specific to Ambulatory clinic medical billing Additional applications include Centricity EHR (legacy), Faxcom, Citrix Xenapps, Citrix Director Microsoft suite and various audio/video platforms Internal and external IT ticketing systems Working Environment and Physical Activities: Office environment within a clinical setting. Enters data into computer programs via computer, mouse, and keyboard. Moves about the office environment and occasionally to other locations. Moves/transports objects up to 25 lbs. occasionally. Communicate information to others. Discerns/analyzes information from others to assist in decision making. To ensure a successful integration into our team, we implement a 90-day probationary period for all new employees. This timeframe is designed to evaluate performance and assess cultural alignment within our organization. It offers both the employee and the employer the opportunity to determine if the role is a mutual fit, promoting long-term success and satisfaction in your career with us. Join our dedicated team and contribute to our mission of providing quality health care to our community! Work Schedule: Monday-Friday, 8:30am - 5:00pm This hybrid role requires candidates to be located in Colorado or in the process of relocating. AMPLIFII offers a competitive hourly range of $22.00-$26.00, depending on experience. The salary range reflects AMPLIFII's good faith estimate of potential compensation at the time of posting. The final offer for the selected candidate will be determined based on several factors, including experience, education, budget, internal equity, specialty and training. Why AMPLIFII Medical, dental and vision coverage Paid time off and paid holidays Health Savings account (HSA) and Flexible Spending accounts, including dependent care options. 401(K) with matching for eligible employees Work-Life balance-No nights, no weekend and no major holidays Employee Assistance Program (EAP) Employee discount programs on top local attractions Competitive wages AMPLIFII conducts background checks, including criminal history, education, license and certification. AMPLIFII is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to any characteristic protected by law. AMPLIFII complies with the Americans with Disabilities Act, providing reasonable accommodations as needed. Health and Safety commitment: To ensure the safety of our patients, staff, and communities, all new hires at AMPLIFII must receive an annual flu shot or provide an exemption, as well as undergo tuberculosis screening and testing. Application submission closing date: Applicants will be considered until the position is filled.

Job Description L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Sr. Specialist, Electrical Engineering - FPGA/ASIC Hardware Engineer Job Code: 46813 Job Location: Cincinnati, Ohio Job Schedule: 4/10 Job Description: As a Hardware Engineer at L3Harris you will be responsible for architecture, design and development of next generation Electronic Safe and Arm Devices utilizing the latest state of the art technologies.The ideal candidate for this role would share our passion for creating and innovating newtechnologies in a highly dynamic, fast-paced environment. We are looking for highly talented, motivated, and versatile engineers that can create the next generation fuzing solutions. ASIC / FPGA designs will include various sensor interfaces, sequence verification, A/D and D/A interfaces, communication protocols, state machines, timer chains, etc. used in Electronic Safe and Arm Devices (Fuzes) for DOD weapon systems. Microsemi / Actel is our targeted FPGA and QuestaSim is our simulation tool. The primary responsibilities will focus on Verilog FPGA design, System Verilog UVM verification and C# based microcontroller development. Essential Functions: Analysis of the requirements, architecture definition, design and debug of FPGA and associated hardware and microcontroller products and associated firmware. Developing Verilog HDL targeting Antifuse and enhanced Flash FPGA's. Performing effective analysis of functional issues or performance profiling with the hardware and firmware in test environments or target host systems. Contribute to process improvements to ensure hardware-firmware quality and time-to-market. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Preferred Additional Skills: Knowledge using Verilog for Logic Design. Programming experience in C for embedded systems, including development of algorithms, manipulation of data structures, and implementing highly optimized code. Experience with lab tools: Logic Analyzers, oscilloscopes, JTAG/ICE debuggers and protocol analyzers Familiar with hardware, software and firmware development methodologies to ensure quality and time-to-market (design verification, code reviews, unit testing, prototyping and product testing). Familiar working with code version control repository tools, such as Subversion (SVN), GIT or TFS. Digital Design practices and principles, logic design and architecture and experience with HDL's (i.e Verilog, VHDL). Knowledge using SystemVerilog for verification with AVM, VMM, OVM, or UVM a plus Developing C# source code targeting Bare-Metal Microcontroller Development. Good English knowledge (speech and writing); Be action-oriented and organized; Ability to handle short notice needs/requests L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

Job Description About the role DataAnnotation is looking for experienced computational biologists and bioinformaticians to evaluate how frontier AI models handle real biological data analysis: differential expression, variant interpretation, single cell workflows, multiomics integration, statistical genetics. You bring the judgment to know when a result is real. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic analysis tasks drawn from your own practice, such as a QC and interpretation exercise on an RNA seq count matrix, a variant prioritization report, a batch effect diagnosis, or a pipeline audit, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic computational biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (count matrices, sample sheets and metadata, VCFs, pipeline logs and QC output, reference annotations, analysis notebooks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the analysis report, annotated table, figure set, or notebook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct analysis must contain, such as the right normalization, the right multiple testing correction and the right biological reading, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: batch effects and confounders ignored, wrong statistical test or uncorrected p values, misused reference or annotation version, silently dropped samples, fabricated results, code that does not do what the narrative claims, and off brief interpretation of the ask. Contribute across genomics and variant interpretation, bulk and single cell transcriptomics, proteomics and multiomics, statistical and population genetics, and machine learning applied to biology, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on analyzing real biological data in industry, an academic lab, or a research institute (lab or institute time counted after undergraduate education). You write, debug, and can explain your own analysis code in Python and/or R (strong proficiency in both preferred, at least one required). Depth of experience in at least one of: genomics and variant interpretation; bulk or single cell transcriptomics; proteomics, metabolomics, or multiomics integration; population and statistical genetics; machine learning applied to biology; clinical genomics; metagenomics or phylogenetics. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a genomics specialist who also understands transcriptomics pipelines and how machine learning is applied to biological data), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have independently owned a multistep analysis end to end, from raw or messy data, through cleaning and processing, to a final interpretation, rather than picking up a clean dataset mid pipeline. Familiar with reproducible research practices (notebooks, scripts, version control, workflow tools). You can judge whether a result is real and say what it means: normalization choices, batch effects and confounding, multiple testing correction, statistical power, and biological interpretation. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include biostatistics, computer science, or statistics when paired with substantial biological data experience. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.

Job Description Join Our Team as an Onsite Support - Field Service Specialist! Are you passionate about delivering exceptional onsite support and ensuring seamless IT operations? Join us as an Onsite Support - Field Service expert and be the backbone of our client locations, providing top-notch service and support. The Role The Onsite Support - Field Service role manages day-to-day onsite end-user support delivery across one or more client locations. The role owns delivery of IMAC requests, break-fix incidents, and infrastructure project support, and is accountable for SLA attainment and customer satisfaction. Pay Rate Transparency Pay Range: $40000 - $45000 / annum. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). What You'll Do Monitor team queues in the ITSM tool; assign, balance, and re-prioritize work based on impact, urgency, and SLA. Coordinate VIP and executive support, critical incidents, and site outages. Balance BAU tickets against project work so neither breaches commitments. Escalate and coordinate with Service Desk, L3 resolver groups, network, server, and vendor teams. Own fulfillment of Install, Move, Add, and Change requests for end-user devices and peripherals. Deliver and set up computers, peripherals, and software for end users. Image computers using bootable USB media and deploy them to end users. Oversee device refresh and redeployment across sites. Ensure accurate asset tagging, CMDB updates, and asset lifecycle records for every IMAC action. Take Level 1 and Level 2 calls and walk-ups from end users and log them in ServiceDesk Plus; resolve issues ranging from password resets to hardware and software troubleshooting. Provide desk-side support when issues require hands-on troubleshooting. Ensure timely resolution of desktop, laptop, printer, mobile, AV, and peripheral incidents. Escalate issues to the appropriate ServiceDesk Plus resolver groups. Coordinate with vendor technicians to repair hardware under warranty; manage spare-parts inventory. Drive problem management for recurring issues and implement permanent fixes. Manage user and computer assets using Active Directory, Microsoft System Center Configuration Manager (SCCM), ManageEngine, CrowdStrike, and Okta. Manage surplus out-of-warranty equipment: wipe hard drives, remove computer objects from the network, and prepare equipment for sale on GovDeals. Manage Webex accounts for Medicaid call center users. Plan onsite support for infrastructure projects: hardware refresh, OS and application migrations, office moves, network cutovers, and site build-outs. Participate in project planning, provide effort estimates and resource plans, and report progress against milestones. Coordinate after-hours and weekend change windows following the change management process. Ensure adherence to ITIL processes: incident, request, change, problem, asset, and knowledge management. Maintain site SOPs, runbooks, and knowledge articles; drive ticket quality audits. Identify continual service improvement and automation opportunities to reduce onsite effort. Ensure compliance with security, safety, and data-handling policies. What You Bring 2-4 years in IT end-user / field services support. Working knowledge of incident, request, change, problem, and asset management. Hands-on experience with ITSM tools such as ManageEngine ServiceDesk Plus, ServiceNow, or BMC Remedy/Helix, including queue management, dashboards, and reporting. Strong technical background in Windows and macOS endpoints, M365, Active Directory / Entra ID, Okta, CrowdStrike, Webex, printers, mobile devices, and basic networking. Working knowledge of endpoint management tools such as SCCM/MECM, ManageEngine, Intune, or JAMF, including imaging with bootable USB media. Demonstrated ability to manage competing priorities, SLAs, and escalations under pressure. Excellent communication and stakeholder management skills with end users, VIPs, and client leadership. Valid driver's license and ability to travel between sites; ability to lift up to 50 lbs. Why Work With Us Be part of a dynamic team that values innovation and collaboration. Opportunities for professional growth and development. Work in a supportive environment where your contributions are recognized. Equal Employment Opportunity Pyramid Consulting, Inc. / Hoonr provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. By applying to our jobs, you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Job Description About the role DataAnnotation is looking for experienced computational biologists and bioinformaticians to evaluate how frontier AI models handle real biological data analysis: differential expression, variant interpretation, single cell workflows, multiomics integration, statistical genetics. You bring the judgment to know when a result is real. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic analysis tasks drawn from your own practice, such as a QC and interpretation exercise on an RNA seq count matrix, a variant prioritization report, a batch effect diagnosis, or a pipeline audit, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic computational biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (count matrices, sample sheets and metadata, VCFs, pipeline logs and QC output, reference annotations, analysis notebooks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the analysis report, annotated table, figure set, or notebook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct analysis must contain, such as the right normalization, the right multiple testing correction and the right biological reading, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: batch effects and confounders ignored, wrong statistical test or uncorrected p values, misused reference or annotation version, silently dropped samples, fabricated results, code that does not do what the narrative claims, and off brief interpretation of the ask. Contribute across genomics and variant interpretation, bulk and single cell transcriptomics, proteomics and multiomics, statistical and population genetics, and machine learning applied to biology, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on analyzing real biological data in industry, an academic lab, or a research institute (lab or institute time counted after undergraduate education). You write, debug, and can explain your own analysis code in Python and/or R (strong proficiency in both preferred, at least one required). Depth of experience in at least one of: genomics and variant interpretation; bulk or single cell transcriptomics; proteomics, metabolomics, or multiomics integration; population and statistical genetics; machine learning applied to biology; clinical genomics; metagenomics or phylogenetics. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a genomics specialist who also understands transcriptomics pipelines and how machine learning is applied to biological data), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have independently owned a multistep analysis end to end, from raw or messy data, through cleaning and processing, to a final interpretation, rather than picking up a clean dataset mid pipeline. Familiar with reproducible research practices (notebooks, scripts, version control, workflow tools). You can judge whether a result is real and say what it means: normalization choices, batch effects and confounding, multiple testing correction, statistical power, and biological interpretation. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include biostatistics, computer science, or statistics when paired with substantial biological data experience. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.

Job Description Senior Applied AI Engineer Compensation: $225,000-$275,000 base + equity Location: New York City 5 days onsite Employment Type: Full-time Join a venture-backed AI startup building production agents for complex decisions where accuracy and trust matter. Our client is developing intelligent systems that bring together fragmented information, uncover meaningful connections, and help users work through demanding, evidence-heavy workflows. The company has paying customers and strong commercial momentum. They're now looking for a Senior Applied AI Engineer to shape agent architecture, strengthen evaluation infrastructure, and help the product perform reliably as usage grows. The Opportunity This is a hands-on engineering role at the intersection of LLM agents, backend systems, and evaluation . You'll own how agents gather context, use tools, move through multi-step tasks, and recover when something goes wrong. You'll also build the evaluation and monitoring systems that help the team understand performance and make sound release decisions. As a senior technical voice on a small team, you'll have significant influence over what gets built and how it works in production. What You'll Do Architect production agents: Design tool use, orchestration, context management, state handling, and guardrails. Own evaluation infrastructure: Build representative datasets, automated graders, evaluation harnesses, and regression tests. Investigate failures: Trace incorrect outputs back to their causes and turn production issues into lasting improvements. Build observability: Track agent behavior, tool calls, task completion, latency, and inference costs. Guide model selection: Compare models and approaches using evidence from realistic tasks. Strengthen backend systems: Build the services, integrations, and data flows that support reliable agent execution. Set technical standards: Help the team make strong decisions around architecture, testing, deployment, and monitoring. What You'll Bring Substantial software engineering experience, including strong production backend ownership . Excellent Python skills and strong debugging, testing, and system design fundamentals. Demonstrable experience architecting and shipping LLM-powered agents into production . Hands-on experience building evaluation datasets, graders, test harnesses, or regression suites. A strong understanding of tool calling, orchestration, retrieval, context management, and failure handling. Experience balancing quality, speed, and cost in live AI systems. Evidence of Staff-level technical leadership while remaining active in code. The ability to take ownership, work through ambiguity, and collaborate closely with a small onsite team. About People In AI People In AI is a specialist recruitment partner connecting exceptional AI, machine learning, and engineering talent with ambitious companies building the next generation of intelligent technology. We work closely with innovative startups and scaling technology businesses to identify opportunities where talented engineers can make a meaningful impact. Interested in setting the technical direction for AI agents used in demanding real-world workflows? We'd love to hear from you.

Job Description About the role DataAnnotation is looking for experienced computational biologists and bioinformaticians to evaluate how frontier AI models handle real biological data analysis: differential expression, variant interpretation, single cell workflows, multiomics integration, statistical genetics. You bring the judgment to know when a result is real. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic analysis tasks drawn from your own practice, such as a QC and interpretation exercise on an RNA seq count matrix, a variant prioritization report, a batch effect diagnosis, or a pipeline audit, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic computational biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (count matrices, sample sheets and metadata, VCFs, pipeline logs and QC output, reference annotations, analysis notebooks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the analysis report, annotated table, figure set, or notebook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct analysis must contain, such as the right normalization, the right multiple testing correction and the right biological reading, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: batch effects and confounders ignored, wrong statistical test or uncorrected p values, misused reference or annotation version, silently dropped samples, fabricated results, code that does not do what the narrative claims, and off brief interpretation of the ask. Contribute across genomics and variant interpretation, bulk and single cell transcriptomics, proteomics and multiomics, statistical and population genetics, and machine learning applied to biology, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on analyzing real biological data in industry, an academic lab, or a research institute (lab or institute time counted after undergraduate education). You write, debug, and can explain your own analysis code in Python and/or R (strong proficiency in both preferred, at least one required). Depth of experience in at least one of: genomics and variant interpretation; bulk or single cell transcriptomics; proteomics, metabolomics, or multiomics integration; population and statistical genetics; machine learning applied to biology; clinical genomics; metagenomics or phylogenetics. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a genomics specialist who also understands transcriptomics pipelines and how machine learning is applied to biological data), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have independently owned a multistep analysis end to end, from raw or messy data, through cleaning and processing, to a final interpretation, rather than picking up a clean dataset mid pipeline. Familiar with reproducible research practices (notebooks, scripts, version control, workflow tools). You can judge whether a result is real and say what it means: normalization choices, batch effects and confounding, multiple testing correction, statistical power, and biological interpretation. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include biostatistics, computer science, or statistics when paired with substantial biological data experience. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.

Job Description About the role DataAnnotation is looking for experienced computational biologists and bioinformaticians to evaluate how frontier AI models handle real biological data analysis: differential expression, variant interpretation, single cell workflows, multiomics integration, statistical genetics. You bring the judgment to know when a result is real. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic analysis tasks drawn from your own practice, such as a QC and interpretation exercise on an RNA seq count matrix, a variant prioritization report, a batch effect diagnosis, or a pipeline audit, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic computational biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (count matrices, sample sheets and metadata, VCFs, pipeline logs and QC output, reference annotations, analysis notebooks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the analysis report, annotated table, figure set, or notebook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct analysis must contain, such as the right normalization, the right multiple testing correction and the right biological reading, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: batch effects and confounders ignored, wrong statistical test or uncorrected p values, misused reference or annotation version, silently dropped samples, fabricated results, code that does not do what the narrative claims, and off brief interpretation of the ask. Contribute across genomics and variant interpretation, bulk and single cell transcriptomics, proteomics and multiomics, statistical and population genetics, and machine learning applied to biology, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on analyzing real biological data in industry, an academic lab, or a research institute (lab or institute time counted after undergraduate education). You write, debug, and can explain your own analysis code in Python and/or R (strong proficiency in both preferred, at least one required). Depth of experience in at least one of: genomics and variant interpretation; bulk or single cell transcriptomics; proteomics, metabolomics, or multiomics integration; population and statistical genetics; machine learning applied to biology; clinical genomics; metagenomics or phylogenetics. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a genomics specialist who also understands transcriptomics pipelines and how machine learning is applied to biological data), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have independently owned a multistep analysis end to end, from raw or messy data, through cleaning and processing, to a final interpretation, rather than picking up a clean dataset mid pipeline. Familiar with reproducible research practices (notebooks, scripts, version control, workflow tools). You can judge whether a result is real and say what it means: normalization choices, batch effects and confounding, multiple testing correction, statistical power, and biological interpretation. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include biostatistics, computer science, or statistics when paired with substantial biological data experience. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.