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About the Company

The Firm is a Long Island-based boutique litigation firm specializing in insurance defense, provider disputes, and No-Fault / PIP litigation. The firm combines deep technical expertise with a collaborative culture, delivering exceptional client service across high-volume and complex matters.

About the Role

We are seeking a No-Fault / PIP Litigation Paralegal with prior experience in No-Fault litigation. The ideal candidate can start immediately, requiring minimal training beyond the firm’s systems. This role provides exposure to a full spectrum of litigation tasks, from discovery and drafting to trial and arbitration support.

Responsibilities

• Manage litigation files from intake through trial and arbitration, ensuring deadlines are met.
• Draft pleadings, motions, discovery requests/responses, arbitration submissions, and provider claims.
• Collect, organize, and summarize medical records, billing statements, and discovery documents.
• Analyze fee schedules, coding disputes, and coverage issues to assist attorneys in case strategy.
• Coordinate filings via NYSCEF and arbitration systems; monitor deadlines and procedural compliance.
• Communicate with clients, providers, experts, and opposing counsel as directed.
• Assist attorneys with trial and arbitration preparation, including exhibits and binders.
• Develop and maintain templates, checklists, and workflow improvements for the team.

Qualifications

• 2+ years of No-Fault / PIP litigation experience
• Paralegal certificate or equivalent experience.
• Proficiency in Microsoft Office, PDF editing, case management software, and NYSCEF.
• Strong organizational, analytical, and communication skills.
• Ability to work independently in a fast-paced, high-volume environment.

Required Skills

Proficiency in Microsoft Office, PDF editing, case management software, and NYSCEF.

Preferred Skills

Strong organizational, analytical, and communication skills.

Pay range and compensation package

$50,000-$100,000, annually (commensurate with experience)

Equal Opportunity Statement

The Firm is committed to diversity and inclusivity in the workplace.

About the Role:

The Legal Assistant plays a crucial role on the Litigation Team in the Indianapolis Office by performing a variety of tasks to support attorneys representing corporate clients in a fast-paced federal court litigation practice.

Minimum Qualifications:

• Associate's degree or equivalent work experience.
• Proficiency in Microsoft Office Suite.
• Strong organizational skills and attention to detail.

Preferred Qualifications

• Two to four years of experience working in a law firm or legal department.
• Familiarity with legal terminology and procedures.
• Working knowledge of i-Manage or other document management system.

Responsibilities:

• Prepare drafts of legal documents, including pleadings, discovery requests and responses, motions, orders, subpoenas, documents for production and draft correspondence to opposing counsel and courts.
• Interpret Court Orders, Federal and Local Rules of Procedure and Judge’s Preferences
• Work with documents in PDF format and edit PDF documents.
• File documents in federal and state courts and mail documents when necessary.
• Calendar deadlines and ensure compliance with deadlines.
• Maintain and organize case files in i-Manage, ensuring all documents are up-to-date and accessible.
• Communicate with attorneys and paralegals to facilitate case progress.
• Schedule appointments, and coordinate meetings.

Skills:

The required skills, such as proficiency in Microsoft Office Suite, are utilized daily to create, revise and manage legal documents. Strong organizational skills are essential for prioritizing and completing tasks based on court deadlines and ensuring compliance with the Firm’s procedures and the clients’ needs in a busy litigation environment. Attention to detail is paramount when drafting and filing or serving legal documents and preparing legal correspondence. Preferred skills, such as familiarity with legal terminology, enhance the Legal Assistant's ability to communicate effectively with attorneys and understand the litigation process, how to prioritize tasks and when to ask questions. Overall, a combination of technical proficiency and legal knowledge will enable the Legal Assistant to contribute significantly to the Team’s success.

Physical Requirements:

Prolonged periods of sitting at a desk and working on a computer.

Must be able to lift up to 15 pounds at times.

Benefits:

• Competitive compensation

• Comprehensive benefits package, including medical, dental, and vision

• HSA and FSA plans

• 401(k) Plan

• Firm provided life insurance

• Firm paid long-term disability coverage

• Year-end bonuses and referral fee incentives

• 8 Paid Holidays, and PTO

Our Metrowest retail client is looking for a Presentation Designer to start on Monday 03/09 for an immediate full time two week contract; in this role you'll be working on gathering documentation for a client training--

They are looking for a presentation designer that is good with organizing information for the presentation, and maybe to assist with the look and order of things for the guide as well. Ideally this will be in Keynote, but Powerpoint will work as well.

Primary Responsibilities:

• Create and update content-heavy presentations
• Interpret complex information and translate them into easily digestible graphs, charts, and infographics
• Review and apply brand standards to presentations
• Be an expert plotting charts and graphs
• Design and interpret in PPT or Keynote fluently
• Make requested changes to existing creative work submitted into the Design Studio
• Understand and interpret markups on pdfs
• Quick turn-arounds, meet tight SLAs
• Use existing branded templates to execute creative requests
• Ensure all designs meet brand standards
• Collaborate closely with art directors, designers and writers to help execute marketing materials
• Provide image retouching when needed
• Make various formats of supplied artwork (PDFs, JPEGs, PNGs, etc.)
• Follow production schedules to ensure tasks are being completed on time
• Archiving and maintenance of old files
• Keep up-to-date on latest technology trends

About This Position

Glenair, Inc. ( ) is a leading U.S.-based manufacturer of interconnect solutions (connectors, wire & cable, cable harnesses, accessories, flex circuits and fiber optics) for the defense, aerospace, and rugged-commercial industries. Glenair products are the first choice for applications operating in harsh environments where failure is not an option.

We are growing our Northern California Sales Team and seek qualified and motivated candidates to manage existing business while also identifying new growth opportunities. Territory includes the San Francisco Peninsula, South Bay, and East Bay areas. Customer industries span commercial aviation, space, defense, oil & gas, and maritime.

Responsibilities

• Serve as the primary point of contact for assigned customer accounts.
• Identify new business opportunities and develop an understanding of program details and key stakeholders.
• Respond to customer inquiries in a timely manner and maximize in-person interactions.
• Coordinate program management between Glenair and customer.
• Maintain a strong technical understanding of Glenair’s extensive and growing product portfolio.
• Regular local travel (~2–4 days per week) for face-to-face customer visits.
• Occasional distant travel (~2–4 trips per year) to Glenair headquarters in Southern California

Qualifications

• 2+ years of experience in technical hardware sales, preferably within the aerospace interconnect industry.
• U.S. citizen located in the San Francisco Bay Area.
• Strong aptitude for solving technical problems.
• Ability to work autonomously and manage day-to-day activities with minimal supervision.
• Proficiency with Microsoft Office 365 suite of products.
• Cultural alignment with Glenair’s guiding principles ( )

Compensation

• Competitive base + commission pay structure.
• Medical/Dental/Vision benefits.
• Reimbursement for travel expenses, phone and internet.
• 401(k) with employer match.
• Ample paid vacation.

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)
• Hands-on experience with NLP applied to unstructured text
• Experience working with LLMs, including:
• Prompting strategies
• Fine-tuning for classification or extraction tasks
• Model evaluation and error analysis
• Experience designing or consuming annotation pipelines and labeled datasets
• Familiarity with structured prediction problems (multi-label classification, ranking, or probabilistic inference)
• Ability to reason about and mitigate model bias, label noise, and false positives
• Strong understanding of production ML systems (versioning, monitoring, iteration)
• Experience working with sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

OTHER SKILLS and ABILITIES:

• Hands-on experience with Azure AI services, Azure Machine Learning, OpenAI on Azure, and Microsoft Foundry
• Experience with clinical NLP libraries (scispaCy, medspaCy, cTAKES)
• Familiarity with RAG architectures for grounding model decisions
• Experience with weak supervision or noisy-label learning
• Knowledge of temporal reasoning or longitudinal modeling
• Exposure to knowledge graphs or ontology-driven systems
• Familiarity with healthcare vocabularies and ontologies:
• ICD-10
• SNOMED CT
• RxNorm (or similar)
• Understanding of clinical documentation structure (HPI, Assessment & Plan, medications, etc.)

EXPERIENCE:

• Bachelor’s Degree in related field
• 2-4+ years of experience in software engineering, machine learning, or applied NLP
• Demonstrated experience taking ML systems from prototype to production
• Experience collaborating with non-technical domain experts (e.g., medical coders, clinicians)

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

• Competitive health benefits
• Retirement savings plans
• Performance incentives
• Professional development opportunities
• PTO
• 401k

• Lead onboarding, implementation, and ongoing management of insurance programs with MGAs
• Build and maintain strong MGA relationships; monitor performance, compliance, and contractual adherence
• Oversee program agreements, regulatory filings, rate approvals, and form development
• Conduct quantitative and qualitative program reviews, including financial performance, risk assessment, and ROI analysis
• Define program structures and coordinate cross-functionally with product, actuarial, underwriting, IT, and accounting teams
• Track, analyze, and report program and claims performance to senior leadership, supporting audits and special projects as needed
• Bachelor’s degree in Business, Insurance, Risk Management, or a related field (MBA a bonus).
• 5+ years of experience in insurance program management, MGA operations, or a related field.
• Expertise in program implementation, regulatory compliance, and contract management.
• Technical: Advanced Excel skills (charts, tables, formulas), accounting knowledge, and data analytics expertise.
• Analytical: Strong quantitative and qualitative evaluation capabilities.
• Excellent communication and organizational skills for cross-departmental collaboration.
• Familiarity with statistical reporting, Schedule F penalties, and compliance standards.
• Ability to manage complex data sets, contracts, and program-specific requirements.

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