Engineering Structures Scimago Jobs in Everett Middlesex County Ma Remote

With a passion for life

Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers - and to save more lives, we need team players, forward thinkers, and game changers.

Are you looking for an inspiring career? You just found it.

Paragonix Technologies markets organ transportation devices that safeguard organs during the journey between donor and recipient patients. Our devices incorporate clinically proven and medically trusted hypothermic preservation techniques in a novel suspension system to provide unprecedented physical and thermal protection. Our product portfolio spans cardiac, thoracic, and abdominal preservation devices to improve donor organ quality and extend donor organ transport time. Paragonix also markets transplant services and organ screeningto the transplant community.

Position Overview: The Design Quality Engineer will play a crucial role in ensuring the quality and compliance of Paragonix's medical device products throughout the design and development lifecycle. The successful candidate will collaborate closely with cross-functional teams, including R&D, manufacturing, regulatory affairs, and quality assurance, to drive excellence in design control processes.

Primary responsibilities/authority will include:

• 
  
• Design Control Compliance: Implement and maintain design control processes in accordance with applicable regulatory standards (e.g., ISO 13485, ISO 14971, FDA QSR, MDR) to ensure the development of safe and effective medical devices.
  
• Risk Management: Lead and contribute to risk management activities throughout the design process, including the identification, assessment, and mitigation of potential risks. Work closely with the R&D team to integrate risk management into the design process.
  
• Failure Analysis: Assist in Post-Market Surveillance (PMS) initiatives, including failure investigation, record review, and data trending.
  
• Quality Planning: Develop and execute quality plans for new product development projects, outlining quality objectives, deliverables, and verification/validation activities.
  
• Design Input and Output:
  
  • 
    
  • Review and approve design inputs to ensure they are clear, complete, and aligned with user needs and regulatory requirements.
    
  • Validate that design outputs meet the specified design input requirements.
    
  
  
  
• Change Control: Manage design changes by assessing their impact on product quality, ensuring proper documentation, and obtaining necessary approvals.
  
• Verification and Validation:
  
  • 
    
  • Develop and execute protocols for design verification and validation strategies and acceptance criteria.
    
  • Collaborate with testing teams to ensure thorough testing of product designs.
    
  
  
  
• Collaboration: Work closely with cross-functional teams, including R&D, manufacturing, regulatory affairs, and quality assurance, to facilitate effective communication and collaboration throughout the product development process.
  
• Regulatory Compliance: Stay abreast of relevant regulations and standards and ensure that product designs comply with applicable requirements. Support regulatory submissions as needed.
  
• Continuous Improvement: Identify opportunities for process improvements within the design control system and contribute to the development and implementation of best practices.
  

Required Qualifications:

• 
  
• Bachelor's degree in engineering or a related field; advanced degree preferred.
  
• Minimum of 1-3 years of experience in a quality engineering role in the medical device industry.
  
• In-depth knowledge of design control processes, risk management, and quality management systems (ISO 13485, ISO 14971, FDA QSR).
  
• Strong technical skills related to product quality including VOE translation to Design Specs, Human Factors, CTQ Cascades, Design Characterization, Verification / Validation, Test Method Validation, Process Validation, Inspection Techniques and Statistics.
  
• Strong understanding of regulatory requirements for medical devices (FDA, EU MDR, etc.).
  
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across functions.
  
• DFSS or DMAIC Black Belt Certified, ASQ Certified Quality Engineer (CQE) or Certified Quality Auditor (CQA) certification is a plus.
  

Other Requirements:

• 
  
• Electrical and mechanical background strongly preferred.
  
• Experience creating and analyzing charts in Minitab, JMP, or equivalent software a plus.
  
• Knowledge of Six Sigma, Lean, SPC, ASQ and/or ISO process controls a plus.
  
• Computer proficiency in MS office (specifically Excel).
  
• Effective verbal and excellent technical writing skills.
  
• Excels at generating and maintaining organized and accurate records.
  
• Excellent oral and written communication skills in English.
  
• Able to travel domestically and internationally as required (

This isn't a traditional AppSec role. It sits right at the intersection of AI-driven development, SaaS security, and financial-grade risk management—and they need someone who can help shape how security evolves alongside modern engineering.

Why this role stands out:

• Ownership of AppSec across 20+ SaaS applications in a highly regulated financial environment
• Direct involvement in securing AI-assisted development (Copilot, Cursor, Codex)
• Hands-on with AI-powered pentesting tools + modern SAST/DAST pipelines
• Opportunity to define secure AI coding guardrails (this is a big focus area for them)
• High collaboration with engineering, risk, and compliance—this is a true partner role, not a silo

What they're looking for:

• Strong background in application security + secure SDLC (SAST, DAST, SCA)
• Experience with code review (Python, C#, Java, or JavaScript)
• Exposure to AI-driven development environments and their security implications
• Ability to balance technical risk with business impact (this is key in their environment)
• Bonus if you've worked with SSPM tools or SaaS security at scale

• Location: Boston (4 days onsite)

Sr. Project Manager

Location: Boston, MA (candidates must already reside in Massachusetts, preferably in the Boston area)

Schedule: 100% onsite at the main office or hospital project sites

Travel:

40–60% travel within approximately one hour of the main office to various hospital project sites. Mileage reimbursement provided.

Compensation

• $128K–$155K base salary
• Discretionary annual bonus
• $452/month vehicle allowance
• $80/month phone allowance

Overview

Large hospital construction project within the Boston metro area, consisting of multiple project sites.

Required Experience

• 8+ years of project management experience with a mechanical subcontractor
• Experience managing hospital construction projects valued at $5M+ (other commercial project types will not be considered)
• Strong experience managing subcontractors, vendors, budgets, and client relationships

Education

Bachelor’s degree in Construction Management, Engineering, Architecture, or related field.

Equivalent HVAC or plumbing field experience may be considered.

Preferred Certifications

• PMP (Project Management Professional) – PMI
• Procore Certified
• OSHA 30, CPR, and First Aid (preferred)

Key Responsibilities

• Oversee all aspects of project delivery including financial management, subcontractors, vendors, and client relationships
• Maintain job site safety through safety planning, JHA approvals, toolbox talks, and site walks
• Manage project budgets and contract delivery types (GMP, Lump Sum, or Concession Agreement)
• Ensure contract compliance including insurance, reporting, scheduling, and energy savings requirements
• Oversee Procore project setup, including change management and document control
• Negotiate and execute vendor purchase orders and subcontracts
• Lead project handoff meetings and ensure alignment on project goals and client expectations
• Oversee site utilization planning with emphasis on safety, cleanliness, and access control
• Establish and manage the project baseline schedule and milestone tracking
• Lead monthly project reporting, cost reviews, and risk mitigation planning
• Ensure execution of the project quality assurance plan
• Manage change processes including RFIs, drawing revisions, and client directives
• Lead project meetings and distribute agendas and minutes
• Build and maintain relationships with subcontractors, vendors, and clients
• Manage and mentor Project Managers

Qualifications

• 8+ years of relevant experience
• Ability to manage multiple priorities and resolve project challenges effectively
• Proficiency with Microsoft Office and Procore

Benefits

• Medical, dental, and vision insurance
• 401(k) with company match (100% of the first 3%, 50% of the next 2%)
• 120 hours PTO and 9 paid holidays
• Mileage reimbursement and monthly vehicle allowance.

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.
  

Job Title - Embedded Software Engineer (CIP / EtherNet/IP)

Location - Boston, MA, USA – Onsite (Relocation Available)

Employment Type - Contract / Full-time

About the Role

We are seeking a skilled Embedded Software Engineer with strong expertise in CIP (Common Industrial Protocol) and EtherNet/IP to support the development of industrial communication solutions. This role involves working on embedded systems, protocol stack integration, and real-time communication within industrial environments.

The ideal candidate will have hands-on experience in embedded C/C++ development, industrial networking protocols, and device-level integration, with a strong focus on interoperability and compliance standards.

Key Responsibilities

• Develop and maintain embedded software solutions using C/C++ for industrial devices

• Implement and integrate CIP / EtherNet/IP protocol stacks for Adapter or Scanner devices

• Work with RTOS environments such as FreeRTOS, ThreadX, or similar platforms

• Integrate and optimize TCP/IP stacks and Ethernet drivers for embedded systems

• Perform debugging and troubleshooting using tools such as Wireshark

• Ensure compliance with ODVA standards and support interoperability testing

• Collaborate with cross-functional teams to design, test, and validate embedded solutions

• Participate in system-level testing, validation, and performance optimization

Mandatory Skills & Qualifications

• 5–10 years of experience in embedded software development

• Strong hands-on experience with CIP / EtherNet/IP protocols

• Experience in protocol stack integration (Adapter or Scanner)

• Proficiency in C and C++ programming for embedded systems

• Experience working with RTOS platforms (FreeRTOS, ThreadX, etc.)

• Strong understanding of TCP/IP networking and Ethernet driver integration

• Must have experience with ODVA compliance and interoperability testing

• Experience using Wireshark or similar tools for debugging network communication

Preferred Skills

• Experience working in industrial automation or embedded device engineering environments

• Familiarity with real-time communication systems and industrial networking standards

• Strong problem-solving and troubleshooting capabilities

Why Join Us

• Work with cutting-edge technologies in a collaborative environment

• Professional growth opportunities and training support

• Inclusive, equitable, and respectful workplace culture

About NetworkPedia

NetworkPedia is a certified women-owned technology and talent solutions company, providing IT infrastructure, cybersecurity, managed services, and specialized recruitment across North Americas and beyond. Our mission is to empower organizations with secure, scalable, and innovative technology while building inclusive teams that reflect the communities we serve.

As a trusted partner, we deliver expertise across networking, cloud, IT service management, and security operations, along with staffing solutions for niche technology roles. We are committed to diversity, equity, and inclusion (DEI) in all our hiring practices and ensure that our opportunities are open to all qualified applicants, without discrimination on the basis of age, gender, race, ethnicity, religion, sexual orientation, or disability.

How to Apply

Apply directly via LinkedIn Easy Apply. All applications are routed to our central recruitment email id -

Title: Lead Software Engineer - AI Application Platform

Mode of interview 1 round in person

Location: Must be in Charlotte, NC to work Hybrid Model

Main Skill set: Python, AI and Angular

Description:

Lead Software Engineer - AI Application Platform

The Opportunity

We are seeking a Lead Software Engineer to guide the architectural development and execution of the client, a sophisticated AI-powered application generation platform. This role suits a proven technical leader with deep, hands-on expertise across the full software stack who finds enabling a team to build better software deeply satisfying.

You will shape critical systems, mentor senior and junior developers through complex technical decisions, conduct rigorous code reviews across multiple technology domains, and directly influence the platform's trajectory through strategic engineering leadership.

This is for someone who:

• Engages thoughtfully when a junior developer asks targeted architectural questions—because you see an opportunity to shape how someone thinks about systems
• Takes time to explain subtle type-safety issues in code review, understanding that feedback is a teaching moment
• Can present architecture clearly to executives and confidently explain both what we're building and why it matters
• Finds more energy in the code your team ships than in the code you write individually
• Has proven depth across the full stack and a track record of developing engineers into stronger contributors

This is not a single-language codebase. The role requires the ability to make informed decisions on TypeScript design patterns, Python FastAPI architecture, AWS security posture, and Terraform state management in context with one another.

The Platform Challenge

The client is fundamentally a Platform-as-a-Service (PaaS) for dynamic application generation. This differs from building a traditional SaaS product. Rather than building one application, you're building infrastructure that enables users to build their own applications.

What this means architecturally:

• Dynamic Content Generation at Scale: Unlike traditional development where code is fixed, AppGen generates JSON form schemas, validation rules, and UI layouts on demand. The FormBuilder component doesn't know what fields will exist until runtime. The layout engine renders user-designed screens from configuration, not hardcoded templates.
• Multi-Tenant Isolation & Data Segregation: Each user gets their own generated app, potentially deployed to their own AWS environment. The architecture must account for data isolation, namespace management, and cross-tenant security considerations.
• User-Defined Data Structures: Traditional applications are built with predetermined database schemas. AppGen works differently—form structures, field types, and validation rules emerge from user conversations with Claude. This brings engineering challenges: How do you safely execute validation logic that users define? When users modify existing forms that have thousands of submissions, how do you maintain backward compatibility? How do you version schemas?
• Content Rendering, Not Code Generation: Unlike traditional no-code platforms where users drag-and-drop to build, AppGen uses AI instead. Users chat with Claude, Claude generates a form schema, and your platform renders that schema reliably across diverse field types, validation patterns, and workflows. The system renders configurations for immediate use, rather than generating code for later deployment.

Experience that directly transfers:

• You've contributed to or led development of low-code/no-code platforms (visual builders, workflow engines, configuration-driven systems)
• You've worked on SaaS platforms with multi-tenant architecture and understand isolation strategies, rate limiting, and per-customer customization
• You've built dynamic rendering systems that handle unknown/arbitrary schemas at runtime
• You've addressed the unique challenges of treating data configurations as user-created content (form builders, report designers, automation workflows)
• You understand the difference between platform infrastructure and applications built on that infrastructure—and the architectural implications of each

Core Responsibilities

1. Technical Architecture & Systems Thinking (40%)

• Shape architectural decisions across the full stack: How should the component layer handle dynamically generated forms? What's the right approach to validate complex cross-field dependencies in the FormBuilder? What separation of concerns makes sense between the Generator Lambda and the Parent Backend?
• Guide architecture discussions: Help senior developers think through design trade-offs. Should we use NgRx or Angular signals for this feature? When does a new Lambda function become worthwhile given cold-start costs?
• Identify and address system-wide bottlenecks: Work across layers to improve performance. Explore Lambda cold-start optimization, RDS query efficiency, and DynamoDB access patterns.
• Establish patterns and guide consistency: Define coding conventions that work across Python, TypeScript, and Terraform. Help new team members understand the reasoning behind architectural choices.
• What this looks like in practice: You're able to justify architectural decisions with technical reasoning. When someone questions an approach, you can explain the trade-offs you considered. You can write code in multiple languages to validate an approach if needed.

2. Code Review & Technical Guidance (30%)

• Full-stack PR reviews: Review Python FastAPI endpoints and Angular components with equal depth, understanding how they interact.
• Deep technical review: Catch issues thoughtful code review can surface:
• RxJS Observable lifecycle and potential memory patterns in Angular
• Query efficiency and data loading patterns in SQLAlchemy
• Terraform module organization and state management implications
• Type safety and TypeScript coverage gaps
• AWS security and IAM configurations
• Educational feedback: Your code reviews help the team learn. When you identify an issue, reviewees understand not just what changed, but how to think about similar problems in the future.
• Define quality expectations: Work with the team to establish what \"production-ready\" means for this platform and support consistent application of those standards.
• What this requires: Experience reviewing code across teams and multiple languages. You know how to write feedback that resonates—clear, constructive, and focused on helping people improve.

3. Mentorship & Team Development (20%)

• Expand specialist capabilities: Help backend specialists learn to contribute to the forms-engine. Support frontend experts in understanding FastAPI patterns.
• Accelerate junior developers: Pair on complex problems. Explain the reasoning behind patterns like DataState. Connect architectural choices to implementation details and performance implications.
• Identify and address gaps: Recognize when someone is struggling with a technology and provide targeted support—training, pair programming, or guidance through architectural decisions.
• Create growth opportunities: Stretch the team into new areas. A backend engineer working on their first Terraform contribution. A frontend specialist implementing an AWS Lambda authorizer.
• What this requires: Genuine investment in people's growth. You've walked developers through major transitions (generalist to specialist, specialist to full-stack, or into new technology areas). You understand that team strength grows when individuals expand their capabilities.

4. Stakeholder Communication & Technical Leadership (10%)

• Explain to diverse audiences: Translate architectural choices and trade-offs for product managers, executives, and business stakeholders. Connect \"optimizing DynamoDB queries\" to \"improving form submission latency by 30%.\"
• Shape technical direction: Contribute the engineering perspective on feasibility, risk, and what unlocks future capabilities.
• Support release confidence: You understand the code changes, comprehend the risks, and know what to monitor. You can stand behind releases.

Required Qualifications

Technical Skills

Frontend (Production Experience)

• 5+ years of Angular (including handling version migrations, optimizing change detection, and guiding teams through reactive patterns)
• Strong TypeScript skills with generics, discriminated unions, and strict mode
• RxJS depth: You understand hot vs. cold observables, unsubscription patterns, and can identify potential memory issues in reviews
• NgRx state management: You've designed stores at scale, optimized selectors, and evaluated architectural implications
• CSS Grid & Responsive Design: You can assess component hierarchy and layout decisions
• Material Design: You've worked within it and know when and how to extend it

Backend (Production Experience)

• 5+ years of Python (async/await, type hints, data modeling)
• FastAPI production experience: session management, dependency injection, middleware
• SQL and ORMs (SQLAlchemy): You write efficient queries and review them critically
• AWS services: Understanding of Lambda behavior, IAM least-privilege patterns, VPC networking
• REST API design: Versioning, error handling, idempotency
• Testing frameworks: pytest, testing st

*Securian Financial Groups internal position title isInfrastructure Consultant.

Position Summary:

We are looking for an AWS Dev OpsEngineer with hands-on experience in AWS Tools to help build and maintain cloud infrastructure that supports our data and analytics platforms. This role is ideal for someone with a solid foundation in cloud engineering who is ready to take ownership of infrastructure components and collaborate across teams to deliver scalable, secure, and efficient solutions. Executes projects to research, proof of concept, and implement new solutions. Maintains awareness of trends and technologies to meet new and emerging stakeholder requirements.

Responsibilities include but not limited to:

• Champion the selection of Data and Analytics platforms and tools to be used across the enterprise.
• Engage with users and vendors to execute technology proof of concepts that validate use cases and the value of new solutions.
• Onboard new platforms and tools to ensure solutions are adopted effectively across the organization.
• Collaborate with Data Engineering and Data Science teams to identify tooling gaps and inefficiencies and partner to implement solutions for their needs.
• Build and maintain AWS infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
• Configure and manage core AWS services including EC2, S3, IAM, RDS, Lambda, Glue, Redshift and VPC Networking.
• Support data engineering and analytics teams by provisioning and optimizing cloud resources for data pipelines and analytics workloads.
• Implement monitoring, logging, and alerting solutions using tools like CloudWatch.
• Participate in CI/CD pipeline development and deployment automation.
• Ensure infrastructure security through proper IAM policies, encryption, and network configurations.
• Collaborate with data engineers, data scientists, and solution architects to improve infrastructure design and performance.
• Document infrastructure processes and configurations for operational transparency and team knowledge sharing.
• Ability to work with ambiguity and organize requirements to identify options.
• Ability to build productive relationships and collaborate with partners and stakeholders.
• Proficient in managing and maintaining Linux-based systems, including installation, configuration, performance tuning, and troubleshooting. Experienced with shell scripting, system security, user management, and automation tools to ensure reliable and efficient server operations.

Qualifications:

• 2-5 years of experience in cloud infrastructure engineering, with a focus on AWS.
• Experience working with structured and unstructured data and data storage technology RDS Postgres, S3
• Proficiency in Infrastructure as Code tools (Terraform, CloudFormation, or AWS CDK).
• Experience with AWS services relevant to data and analytics (e.g., Glue, Redshift).
• Familiarity with DevOps tools and practices (e.g., Git, GitHub, CI/CD, Docker).
• Basic scripting skills in Python, Bash, or PowerShell.
• Understanding of cloud networking, security, and cost optimization principles.
• Strong communication and collaboration skills.

Preferred Qualifications:

• AWS certification (e.g., AWS Certified Solutions Architect - Associate, Associate Developer or Associate Machine Learning Engineer).
• Exposure to big data tools and frameworks (e.g., Spark, Hive). Airflow, Control M, Streamsets
• Cloud Data Platforms: Snowflake, AWS Redshift, RDS, Postgres
• Data Governance & Cataloging: Informatica Intelligent Data Management Cloud (IDMC), Cloud Data Governance and Catalog (CDGC)
• Master Data Management: Reltio MDM for authoritative data domains
• AI Enablement: SageMaker, AWS Bedrock, Textract, etc. for AI development, MLflow for model lifecycle management
• Experience working in agile or cross-functional teams.

#LI-Hybrid**This position willhave a hybrid working arrangement, workingin-officefor a minimum of3days aweek.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. Ifyou'reina commutable distance (90 minutes)you'lljoin us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*

Summary

As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.

This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.

You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.

Responsibilities include but are not limited to:

AI Solution Development & Deployment

• Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.

• Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).

Operational Model Support & Optimization

• Monitor model performance, data drift, and operational KPIs.

• Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.

• Establish measurement frameworks to quantify operational impact of deployed solutions.

Data Engineering & Analytical Execution

• Transform structured, semi-structured, and unstructured data into actionable features and insights.

• Perform exploratory analysis and visualization to identify operational improvement opportunities.

• Collaborate with engineering teams to productionize data solutions.

Stakeholder Engagement & Explainability

• Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.

• Communicate complex AI methodologies and results clearly to technical and non-technical audiences.

• Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.

Required Qualifications

• Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.

• Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.

• Experience building operationalized data science solutions (not just prototypes).

• Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.

• Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.

• Strong ethical judgment with a commitment to responsible and unbiased AI development.

Preferred Qualifications

• 2+ years of hands-on experience in data science, applied AI, or machine learning.

• Experience supporting AI solutions in operational or production environments.

• Familiarity with MLOps practices, model governance frameworks, and automation tooling.

• Experience working in regulated industries (financial services preferred).

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

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The Clinical Affairs Manager will provide clinical expertise, insight, and support to clinical end-users, clinical sales specialists, sales team, Regulatory, Engineering, marketing, and other corporate departments on safe and effective use of the Teleflex Medical product portfolio with primary emphasis on the Coronary/Structural Heart franchise. This position will support the appropriate clinical application of the Coronary/Structural Heart franchise via didactic, web-based, and teleconference education, and understanding of these products and best practices. Clinical support will be provided to physicians, nurses, techs, etc., to include support for live cases/proctorships in the therapeutic areas related to focus products. The Clinical Affairs Manager will drive innovation by identifying product attributes necessary to expand into new markets, or capitalize on new clinical applications; identify new, clinically driven product and market opportunities; and perform other related duties as required. Provide support during society engagements, facilitating the exchange of scientific information in close collaboration with CMA leadership and the broader clinical affairs interventional team.

Customer Experience Representing Teleflex in a customer-facing position is a tremendous responsibility and opportunity. All CMA colleagues are expected to perform with the highest levels of professionalism, service, and ethics to strengthen the Teleflex brand and relationship with our customers. Continuous Improvement - Demonstrates initiative and critical thinking to identify, prioritize process and performance gaps. Develops solutions to deliver improved results. Exemplifies continuous improvement thought processes and focus. Culture and Values Exemplifies Teleflex values and ensures a fair, open, and productive climate that is engaging, ethical, and legally compliant. Strives to work effectively across boundaries in a complex matrix environment. Identify and support BU field efforts for the Coronary/Structural Heart franchise through clinical and educational customer needs assessment, product and procedural training, live case coverage, and assist with customer follow-up for ongoing clinical support as needed. Maintain and develop expertise on the Coronary/Structural Heart Interventional product portfolio related to the specific clinical specialty area and expertise. Identify and expand the customer base through professional networking, consultation related to best practices and the appropriate clinical use of Teleflex products, and timely professional follow-up. Support Coronary/Structural Heart educational programs with aligned educational goals and needs of the Interventional Business Unit. Support scientific exchanges of information with medical societies. Pre-conference & in-booth educational programs, meetings with scientific committees, education grant support, and research submissions (in collaboration with the Global Research & Scientific Services team). Off-label support for Teleflex products in accordance with Teleflex policy & local legal regulations

Manage utilization of HCPs in accordance with Teleflex IPPs. Coordinate efforts between cross-functional partners, including Medical Affairs, Global Research & Scientific Services, marketing, and R&D. Coordinate, participate, and manage educational, scientific activities at identified local, regional, and national trade shows/exhibitions. Serve as part of the CMA clinical expert team on product applications and troubleshooting when interfacing with SBU Leadership, Clinical Sales Specialists, and Teleflex team members. Participate as a clinical expert on project teams, committees, and in meetings with various corporate departments to provide guidance as to the clinical perspectives for the Coronary/Structural franchise. Build and support infrastructure for speaker programs supporting Teleflex Academy, webinars, training content, and programs. Coordinate and participate in content development and review of education material as needed by IA BU or CMA. Manage all business-associated administrative tasks and responsibilities to support job-related activities, to include strict adherence to the Teleflex Medical T&E policies and procedures, timely filing of required and/or requested reports, and documentation of activities via approved documents and forms. Adhere to applicable Teleflex IPPs, Teleflex Code of Ethics, and all Company policies, rules, procedures, and housekeeping standards.

Bachelor's degree is required, preferably in clinical, biology, health sciences, or engineering. Procedural experience within Interventional Cardiology and/or Structural Heart Possess a minimum of five years' clinical exposure in the medical field in the Cardiology environment. Medical Device industry supporting Clinical and Medical Affairs, strongly preferred. Proficient in Microsoft Word, Excel, and PowerPoint required; SalesForce experience preferred.