Array Elsevier Journal Indexing Jobs in Usa

LUXE Interiors + Design is the definitive voice of the luxury residential design industry. For more than 20 years, we’ve served as a trusted bridge between brands, design professionals and the most affluent homeowners in America’s premier markets.

We tell stories that inspire, spark meaningful relationships and connect the design community—from local visionaries to national icons. We deliver compelling multimedia content and immersive experiences that elevate brands across the luxury design landscape. We don’t just showcase beautiful homes; we transform inspiration into thoughtful brand moments that drive lasting impact.

Role Overview

We are hiring a Homes Editor that will be responsible for cultivating and expanding Chicago's network of luxury interior designers and architects, developing strong, long-term relationships that bring top-tier talent into LUXE’s ecosystem. This role involves sourcing, acquiring, and shaping compelling home features for each market’s six annual issues. Success requires proactive research, on-the-ground scouting, and long-lead project planning, all grounded in trusted partnerships with design professionals. The ideal candidate is deeply connected, highly motivated, and passionate about high-end residential design.

The Homes Editor reports to the Editor-in-Chief and works closely with the Managing Editor to coordinate day-to-day priorities, project timelines, assignments, and deadlines. Regular check-ins ensure smooth execution from feature conception through publication.

Key Responsibilities

• Source, acquire, and develop high-quality home features for print and digital publication
• Write feature stories on a monthly basis and contribute Front of Book content as needed
• Represent LUXE at regional design events and host gatherings to strengthen brand engagement
• Assign, manage, and edit freelance writers, including oversight of contracts and deadlines
• Edit, fact-check, and compile resources, captions, and supporting materials for stories
• Collaborate with Managing Editor during production through Edit Reads and review cycles
• Cultivate strong professional relationships with architects, designers, builders, and publicists
• Maintain an up-to-date database of design professionals and future prospects
• Distribute feature PDFs promptly after publication
• Support digital content initiatives and other editorial projects as assigned

Who You Are

• A proactive, self-starting editor with strong journalistic instincts
• Passionate and knowledgeable about high-end residential design
• Highly organized, able to manage multiple stories and projects simultaneously
• Excellent writer, editor, and communicator
• Collaborative team player who also thrives independently
• Deadline-driven, detail-oriented, and meticulous in project execution

Qualifications

• 5+ years of relevant experience in journalism, editorial, PR, or related fields
• Exceptional writing and editing skills
• Strong understanding of interior design and luxury residential markets
• Proven ability to build and maintain professional relationships with designers and architects
• Comfortable working in both team-based and independent environments

This role is 30 hours per week with the ability and willingness to attend evening events, as required.

Clayco - South Bend, IN, United States

Clayco is a full-service, turnkey real estate development, master planning, architecture, engineering, and construction firm that safely delivers clients across North America the highest quality solutions on time, on budget, and above and beyond expectations. With $7.6 billion in revenue for 2024, Clayco specializes in the \"art and science of building,\" providing fast track, efficient solutions for industrial, commercial, institutional, and residential related building projects.

The Scheduling And Planning Manager builds and maintains the project schedule and the different baselines in accordance with Clayco's policies, owner requirements, and the on-going analysis of the network logic and validation as it complies with the intent of the project team. Cost and resource loading including the Clayco metrics and general conditions is required on all project schedules so, all report generation and cash flows will be a critical element of the role.

Periodic progress updates of in-progress schedules. Collection of all pertinent data required to update the schedule. The Scheduler is responsible for collection of update data from multiple sources, including the Project Manager, Superintendent, and Owners Representatives and subcontractors. All update data shall be approved by the Project Manager prior to incorporation into the schedule.

Maintenance of Project Schedule Baselines. Maintains Project Schedule Baselines in accordance with Clayco's policy regarding Baselines and any additional requirements the Owner's contracts may include.

Periodic Performance Report Generation. Generation of project specific Performance Reports as well as Clayco Standard reports, including but not limited to: Critical Activities Report, Baseline Deviation Report, Earned Value Performance Index Report and Project Cash Flow Report.

Cost and Resource Loading of Schedules. Required at a minimum on all Clayco projects to include the Clayco Metrics Resource Set for project staff and General Conditions. As required by the project, updating cost and resource actuals may be required as part of the periodic progress update process.

Network Logic Analysis and Validation. On-going analysis of the network logic and validation that it complies with the intent of the project team and that it complies with the Clayco Standard Guidelines for network logic. The network logic on-going analysis shall also include removal of extraneous and superfluous dependencies that may cause errors in calculating total float and criticality.

Assist in preparation of Monthly Schedule Reporting. Preparation of the required reports for the project and shall include assisting with the draft of the Monthly Schedule Narrative.

Schedule Development. Developing schedules from the ground up for both proposals and construction projects. Development of both types of schedules shall be a team effort.

Bachelor's Degree in Engineering, Construction, or related major is required.

6-10 years of scheduling experience.

Data Center experience.

Recent expertise and a proven knowledge of Primavera P-6 scheduling management system.

Project Management experience working for general contractor preferred.

Strong computer skills, including proficiency in Microsoft Project, Word, Excel, and Outlook and willingness to regularly update skills.

Knowledge in BIM and how it relates to scheduling and sequencing is preferred.

Ability to travel and move depending on project locations. Excellent communication skills, both oral and written.

Excellent listening skills with attention to detail.

Excellent and efficient quality of work.

Highly entrepreneurial, hardworking, and self-motivated, with the ability to work equally well on own as well as in a team environment.

Ability to walk the job site, climb ladders, and multi floor scaffolding.

Ability to lift objects at least 30lbs.

This position will service our clients in the Midwest region.

Our clients and projects are nationwide Travel will be required

No other builder can offer the collaborative design-build approach that Clayco does.

We work on creative, complex, award-winning, high-profile jobs.

The pace is fast!

This position is classified as a safety-sensitive role in accordance with applicable state and federal laws. Candidates selected for this position will be subject to a comprehensive background check, which includes mandatory drug testing.

2025 Best Places to Work St. Louis Business Journal, Los Angeles Business Journal, and Phoenix Business Journal.

2025 ENR Midwest Midwest Contractor (#1).

2025 ENR Top 100 Design-Build Firms Design-Build Contractor (Top 5).

2025 ENR Top 100 Green Contractors Green Contractor (Top 3).

2025 ENR Top 25 Data Center Builders - Data Center Contractor (Top 3).

Discretionary Annual Bonus: Subject to company and individual performance.

Comprehensive Benefits Package Including: Medical, dental and vision plans, 401k, generous PTO and paid company holidays, employee assistance program, flexible spending accounts, life insurance, disability coverage, learning & development programs and more!

The salary range for this position considers a wide range of factors in making compensation decisions including but not limited to: Education, qualifications, skills, training, experience, certifications, internal equity, and location. Compensation decisions are dependent on the facts and circumstances of each case.

We're seeking a detail-oriented Paralegal or experienced Legal Secretary for a short-term project to organize and digitize approximately 5+ boxes of legal documents. The engagement involves scanning, indexing, and creating an organized digital and physical file system. Ideal for a legal operations professional who is process-minded, discrete, and comfortable handling confidential materials.

Revised Key Responsibilities:

• Inventory and triage documents by opening boxes, reviewing contents, and organizing materials by matter, date, custodian, or document type.
• Organize physical files by creating or updating folders, applying labels, and arranging files into a clear structure; re-boxing and archiving materials as needed.
• Digitize documents through high‑volume scanning, ensuring pages are captured clearly, in the correct order, and properly oriented.
• Apply consistent file naming and indexing conventions to create an organized and searchable digital folder system.
• Conduct quality control checks to verify that scanned files are complete, legible, and free of duplicates, and rescan materials when necessary.
• Use OCR tools to ensure PDFs are searchable and easy to navigate, including combining or separating documents and adding bookmarks where appropriate.
• Maintain a simple tracking log to document what was reviewed, scanned, indexed, and stored.
• Handle all confidential and sensitive documents with discretion and in accordance with privacy and legal guidelines.
• Assist with light administrative or legal secretary tasks, such as data entry, preparing file indexes, printing, copying, labeling, or coordinating pickups/drop‑offs.

Qualifications

• Paralegal certification or equivalent paralegal experience is preferred, though experienced legal secretaries with relevant skills will also be considered.
• Experience handling legal document management, scanning, filing, and general document control in either a law firm or an in‑house legal department.
• Proficiency with scanners (including ADF equipment), Adobe Acrobat or similar PDF software, OCR tools, and basic platforms such as Microsoft Office, SharePoint, Box, or Google Drive.
• Strong organizational skills, attention to detail, and the ability to maintain consistent naming conventions and a methodical approach to indexing and quality control.
• Ability to handle sensitive and confidential materials discreetly and professionally.
• Capacity to lift up to 30 pounds to move, organize, and re‑box files as needed.
• Availability to work on‑site for the full duration of the 1–3 week project.

AI Ethics Specialist, Standards, Measurement & Governance | Just Horizons Alliance

Join us to define the standards that hold AI systems accountable.

The situation

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We currently have a first version of the framework that is validated and in use. Now we're investing in the next phase: sharper indicator definitions, stronger construct validity, governance processes that hold up to external scrutiny, and measurements that work across domains from education to healthcare to finance.

This is the first dedicated hire to drive the standards and governance layer end-to-end.

What you'll actually do

Months 1–3: Learn the system

Work through the existing L4 indicator library with Sophia. Understand where definitions need tightening, which constructs require the most interpretation, and how the evaluation engine turns indicators into measurements. Start giving developers working definitions they can implement.

Months 4–6: Build the governance infrastructure

Lead the development of a versioning and change control process for the Index. Define disclosure policies. Formalize internal ethical oversight processes. Collaborate with domain experts in education, healthcare, and finance to validate indicators across contexts.

Months 7–12: Drive the standard

Be the person who gives definitive answers on construct interpretation. Manage the L4 indicator framework as a living, governed document. Represent the methodological rigor of the Index in external conversations with regulators, academics, and the organizations being evaluated.

Why this role is hard

You're working at the frontier of a field that does not have settled answers. There is no ISO standard for AI ethics measurement. The frameworks you're building will be contested by academics, challenged by the AI companies being evaluated, and scrutinized by regulators. You need to make defensible decisions under genuine uncertainty, document your reasoning clearly, and communicate it to people who will disagree.

The daily work involves uncomfortable specifics. What does \"sexually explicit content\" mean when an LLM is used in a youth education context—a tutoring app, a storytelling tool, an educational assistant? Where exactly is the boundary? You have to define it in terms a developer can implement and an auditor can verify.

The pace is weeks, not semesters.

You're probably the right person if

You've taken an abstract ethical principle and turned it into something a developer could build or a compliance team could audit

You understand NIST AI RMF or the EU AI Act at a working level — not awareness, but enough to argue about the details

You have external credibility in the field: publications, recognised work, advisory roles, or a title that carries weight

KYC, compliance, or governance experience is part of your background alongside ethics expertise

You work at the pace of decisions, not the pace of studies

You can hold a substantive conversation with a software developer about API behaviour and with a philosopher about construct validity — on the same day

You can read an inter-rater reliability methodology and understand what it means for your indicator definitions

You're probably not the right fit if

Your background is purely academic ethics — you've written and published but never operationalized anything

You need months of research before committing to a position on a specific indicator definition

You're primarily a communicator or writer about AI ethics rather than a practitioner of governance

You're based on the West Coast US or don't work in East Coast US or Western Europe time zones

You see \"working with developers\" as someone else's job

Hard Skills

These are the domain and technical capabilities you need going in — or need to be able to build up fast. You don't need to be an engineer. But you do need to learn quickly, including using AI tools to close knowledge gaps on the fly.

• NIST AI RMF and EU AI Act — working-level knowledge, not awareness. Enough to argue about the details and identify where a specific AI system fails to comply
• Construct operationalization — demonstrated experience translating an abstract ethical principle into a bounded, testable indicator that someone else can use
• Governance documentation — writing versioning policies, change control frameworks, and disclosure protocols that other people actually use day to day
• AI evaluation methodology — familiarity with how AI systems are benchmarked, where measurement goes wrong, and what validity means in a scientific context
• Basic technical literacy — able to read API documentation, understand what a model endpoint does.
• Statistical reliability concepts — inter-rater reliability, aggregation methods, and what it means for a measurement to be valid versus merely reliable
• KYC or compliance frameworks — experience building governance processes that have real enforcement teeth, not just principles documents that no one is held to

What you get

The role: Work directly with Sophia Zitman (AIEI Team Lead) as the person who owns the methodological integrity of the AI Ethics Index. Direct daily collaboration with the development team.

The comp: $110,000

The team: Small, split between ethicists and engineers. Interview panel: Janet Kang and Sophia Zitman.

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones strongly preferred. Deliberate, rigorous culture.

The upside: You'll have built the governance foundation of what may become the globally referenced standard for AI ethics measurement. That is a genuinely consequential body of work.

Senior Developer, AI Evaluation & Cloud Infrastructure | Just Horizons Alliance

Join us to build the technical foundation for AI accountability.

The Role

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We need a senior engineer to own the technical infrastructure end-to-end: learn what exists, close critical gaps, and build something that lasts.

The evaluation methodology is validated and in use. We're now at the stage where the systems need to mature alongside the research. This is the first dedicated infrastructure hire for this work, and you'll shape how it scales.

What You'll Do

Months 1–3: Learn the System

Map the current architecture with Sophia Zitman (AIEI Team Lead). Understand the evaluation methodology, the data flows, and the infrastructure that supports them. Identify what needs to evolve for multi-domain benchmarking—reproducibility, security posture, test coverage, deployment pipeline. Begin implementing the highest-priority improvements.

Months 4–6: Build for Scale

Architect the infrastructure to support the next phase of the Index. CI/CD that maintains stability as the system grows. IAM and secret management built for a production environment. Experiment tracking that makes every evaluation run auditable. Documentation that enables the research team to work independently.

Months 7–12: Expand

Multi-domain benchmarking across education, healthcare, finance, and other sectors. Reproducibility standards that meet external scientific scrutiny. A system the research team can extend without engineering support for every change. At this point, the infrastructure should be stable enough that you're focused on capability, not maintenance.

Why This Role Is Difficult

This is infrastructure for a scientific standard, not a product feature.

Correctness and delivery both matter. A bug in the evaluation engine doesn't break a feature, instead it invalidates a measurement. A flawed pipeline doesn't slow things down, it compromises the credibility of the research. At the same time, methodology that never runs in production has no impact. The role requires both rigor and momentum.

You're translating between disciplines. Your stakeholders are researchers, ethicists, and governance specialists. You'll need to take concepts like \"operationalizing an ethical construct\" and turn them into data models and pipelines. This is a translation problem as much as an engineering problem.

The work is novel. There's no existing system to reference. The AI Ethics Index is defining what rigorous AI evaluation looks like. You'll be making architectural decisions in areas where best practices don't yet exist.

You'll have full ownership. This is not a role where you're executing someone else's technical vision. You're setting the direction. That means autonomy, but it also means accountability.

You're probably the right person if

You've built evaluation systems or data pipelines that other people depended on for correctness, not just uptime

You're comfortable with GCP and have deployed containerized workloads in a real production context

You've worked with LLM APIs and understand their reliability and reproducibility characteristics

You can read a paper about measurement methodology and turn it into a working data structure

You build for durability. Your code is still running 18 months later because you thought about the next person

You've worked somewhere between 5 and 50 people and you're comfortable being the person who figures things out without a playbook

You find working on AI ethics infrastructure more interesting than building another e-commerce checkout flow

You're probably not the right fit if

Enterprise environments make up most of your experience. This is not a large-team context

You need clearly defined requirements before you can start. The requirements here evolve through conversation with ethicists

You're based on the West Coast US or expect West Coast US working hours

You mainly build user-facing APIs and features — this is systems and infrastructure work

You're looking for a high-growth startup where shipping speed is everything. This is a scientific organization. Correctness is everything.

Hard Skills

These are the technical capabilities you need going in — or need to be able to build up fast using an AI coding agent. We're not looking for someone who ticks every box. We're looking for someone who closes gaps quickly and knows how to learn.

• Python — strong enough to design systems architecture and reason about failure modes, even if you work with AI assistance for implementation details
• Google Cloud Platform — specifically Cloud Run, IAM design, secret management, and containerized workload deployment in a real production context
• API and model documentation — able to read, write, and navigate API specs and model documentation fluently; you know how to figure out how a system behaves from its documentation without needing someone to walk you through it
• Structured step-by-step reasoning — when you hit a complex problem, you decompose it immediately and visibly into logical steps; you don't disappear into your head and come back with an answer, you think out loud and in sequence, which makes collaboration with the ethics and research team possible
• LLM API integration — understanding the reliability, reproducibility, and failure characteristics of external model endpoints
• Data pipeline architecture — building evaluation or measurement systems where correctness is non-negotiable, not just data-moving
• Experiment tracking and reproducibility standards — always looking to improve the evaluation pipeline; you understand what needs to be tracked, why reproducibility matters scientifically, and you find the right approach for the context without being dogmatic about tooling
• Statistical reliability concepts — enough to understand what inter-rater reliability means for evaluation output and why reproducibility matters scientifically

What you get

The role: You'll work directly with Sophia Zitman (AIEI Team Lead) as the technical backbone of the AI Ethics Index. Full engineering ownership of the evaluation engine.

The comp: Base salary $110,000.

The team: Small, split between ethicists and engineers. You will interview with Janet Kang (Executive Director) and Sophia Zitman (AIEI Team Lead).

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones. Collaborative but autonomous — Sophia won't micromanage, but she will hold you to a high standard of systems thinking.

The upside: You'll have built the technical foundation of what may become the globally referenced standard for AI system evaluation. That's a meaningful line on any CV — and a genuinely hard thing to have done.

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

• 
  
• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

• 
  
• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

• 
  
• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

• 
  
• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.
  

Heartland Express is an award-winning industry leader for on-time service. We hire the best truck drivers in the industry. Our truck drivers are some of safest, most experienced drivers on the road today. We're looking for drivers to join our fleet to help us service some of the top shippers in America. Join our team and know you're amongst the best the industry has to offer!

Job Details for truck drivers running in the Texas and surrounding states:

* Salary: $50,000 - $68,000 per year - Average is $52,000 per year

* Average Weekly Pay: $1,074 a week (Top Earner made $1,251 per week)

* Average Miles: 2000+ per week

* Home expectations - home weekly

Truck Driver Bonuses include

* Additional $.01 to $.03 per mile Safety Bonus paid quarterly

Benefits of Joining Heartland Express:

* Latest Kenworth, Freightliner & International Tractors

* We buy new and keep it while under warrantee to have better uptime for you to keep rolling.

* We have shops across the country to service your truck

* Our trucks run 68 MPH

* All Dry Van Freight

* 48 State Operating Area

* Drop & Hook

* No Touch Freight

* Paid Orientation/Training

* Detention pay is $20 per hour

* Breakdown Pay

* Newly Remodeled Coast-to-Coast Terminal Facilities

* Clean Driver Facilities -

* Free Showers

* Free Laundry

* TV, Food and much more

* Truck Driver Appreciation events at all our terminals throughout the year with food, prizes, and giveaways, with management and vendors there to get our driver's feedback and show that our driver are who really makes Heartland Express what we are.

* Assigned Driver Manager who will help you and Heartland be a success

Heartland Express is committed to success for our drivers, employees, and customers. We have been around since 1978 as one of the most profitable companies in the industry. We are here for you now and in the future. You will have a place to call home, a family to help you achieve your goals, and a place you can be proud to be a part of.

Apply today to join our team!

Pay Range: 5 per_year, General Benefits: Full Health, Dental, Vision, Life Insurance, Accidental Death and Dismemberment, Long-Term and Short-Term Disability, Hospital Indemnity, and Critical Illness Coverage Care packages with prescription benefits (Single, Employee and Spouse, Employee and Children, Family). Flex Spending accounts. 401(k) with company match, Paid Vacation, Driver Bonuses - Additional $.01 to $.03 per mile Safety Bonus paid quarterly. Paid Orientation/Training

Qualifications:

* Class A CDL

* 12 months of tractor-trailer driving experience

* 21 Years of Age

* Good work history and MVR

* Safety First Attitude, With a Proven Driving Record

LeadFlex Job ID: 523494

External ID: 97880-TX76055

Post Date: 09/15/2025

APPLY NOW CALL (855) 921-1176

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Title: HYBRID HIM Team Lead (Boston, MA)

Responsibilities/ Job Duties:

• Assign, prioritize, and monitor daily EHR processing tasks to ensure timely completion of document indexing and record management.
• Provide day-to-day guidance, operational direction, and support to up to 5 staff members.
• Train new employees, identify knowledge gaps, and support ongoing staff education related to EPIC systems and workflows.
• Perform regular audits of document indexing and record accuracy to maintain high standards of documentation quality.
• Ensure staff follow departmental policies, health information management standards, and regulatory requirements.
• Assist staff in resolving system issues related to EHR platforms, document management systems, and fax ingestion processes.
• Research charts flagged for duplicate MRNs (medical records numbers) and coordinate next steps with EMPI staff to maintain patient identity integrity.
• Monitor staff productivity, queue volumes, and turnaround times; prepare reports and recommend workflow improvements.
• Identify operational challenges and communicate issues with recommended solutions to HIS and Information Systems leadership.
• Provide leadership coverage and maintain continuity of EHR processing operations in the absence of the HIS Operations Manager.

Minimum Education and Experience Requirements:

• 3+ years of experience in HIM / medical records
• Knowledge of medical records processing, document indexing
• EMR experience, EPIC preferred
• Strong computer proficiency

Schedule/ Shift:

Monday - Friday

8am - 4:30pm or 8:30am - 5pm

Benefits:

• Paid Sick Leave (Medix provides paid sick leave according to state and local sick leave ordinances)
• Health Benefits / Dental / Vision (Medix Offers 6 different health plans: 3 Major Medical Plans, 2 Fixed Indemnity Plans (Standard and Preferred), and 1 Minimum Essential Coverage (MEC) Plan. Eligibility for health benefits is based on verifying that an average of 30 hours per week during the first 4 weeks of the work assignment has been met. If you meet eligibility requirements and take action to enroll, you will be covered no earlier than 60 days into your assignment, depending on plan selection(s).)
• 401k (eligible on the first 401k open enrollment date following 6 consecutive months on assignment. 401k Open Enrollment dates are 1/1, 4/1, 7/1, and 10/1)
• Short Term Disability Insurance
• Term Life Insurance Plan