analytic data engineer

data engineer (associate) Jobs in Chicago

data engineer (associate)

data engineer (manager)

data scientist (associate) Jobs in Chicago

data scientist (associate)

data scientist (manager)

data scientist manager

Huron Consulting Group

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Science Manager to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team&mdash;sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.<br>
<br>
This isn't a reporting role or a dashboard factory&mdash;you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.<br>
<br>
The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data&mdash;all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Lead and mentor junior data scientists and analysts&mdash;provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team.</li><li>
Manage complex multi-workstream analytics projects&mdash;oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor.</li><li>
Design and execute end-to-end data science workflows&mdash;from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible.</li><li>
Lead development of both traditional statistical and modern AI-powered analyses&mdash;including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis.</li><li>
Build predictive and prescriptive models that drive business decisions&mdash;customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises.</li><li>
Translate complex analytical findings into actionable insights&mdash;create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions.</li><li>
Serve as a trusted advisor to clients&mdash;build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value.</li><li>
Contribute to practice development&mdash;participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
5+ years of hands-on experience conducting data science and advanced analytics&mdash;not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact.</li><li>
Experience leading and developing technical teams&mdash;including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent.</li><li>
Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks.</li><li>
Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions.</li><li>
Experience with deep learning and modern neural architectures&mdash;understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows.</li><li>
Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance.</li><li>
Exceptional communication and data storytelling skills&mdash;ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable.</li><li>
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in experimental design, A/B testing, and causal inference methodologies&mdash;including propensity score matching, difference-in-differences, or instrumental variables.</li><li>
Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures&mdash;including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications.</li><li>
Experience building AI-assisted analytical workflows&mdash;leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data.</li><li>
Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts.</li><li>
Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc.</li><li>
Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications.</li><li>
Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new domain to master and a new problem to crack.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions&mdash;pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes.</div><div>
A team that thinks deeply. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles.</div><div></div><div>
Position Level</div>
Manager<div></div><div>
Country</div>
United States of America</div>

Data Scientist (Manager)

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Scientist to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll conduct advanced analytics and build predictive models that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
This isn't a reporting role or a dashboard factory&mdash;you'll own the full analytics lifecycle from hypothesis formulation through insight delivery. You'll work on problems that matter: experimental designs that validate business strategies, predictive models that surface hidden patterns in complex data, and analytical workflows that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.<br>
<br>
The variety is real. In your first year, you might conduct customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an anomaly detection model for a utility company's operational data. If you thrive on rigorous analysis, clear communication of complex findings, and rapid iteration, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Design and execute end-to-end data science workflows&mdash;from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible.</li><li>
Develop both traditional statistical and modern AI-powered analyses&mdash;including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis.</li><li>
Build predictive and prescriptive models that drive business decisions&mdash;customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises.</li><li>
Rapidly build interactive data stories and applications&mdash;deliver insights through compelling visualizations and user-friendly interfaces that stakeholders can explore.</li><li>
Translate complex analytical findings into actionable insights&mdash;create compelling data narratives, develop presentation-ready deliverables, and communicate technical results to non-technical stakeholders in ways that drive decisions.</li><li>
Collaborate directly with clients and senior team members&mdash;understand business problems, formulate the right analytical questions, and contribute to insights that create measurable value.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
2+ years of hands-on experience conducting data science and advanced analytics&mdash;not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact.</li><li>
Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing clean, reproducible code, not just notebooks.</li><li>
Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, and understanding of when different approaches are appropriate for different questions.</li><li>
Experience with deep learning and modern neural architectures&mdash;understanding of transformer models, embeddings, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods.</li><li>
Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can write efficient queries.</li><li>
Strong visualization and rapid data application development skills&mdash;proficiency with programmatic visualization libraries (Plotly, Altair) and AI-assisted rapid application development using Cursor, Lovable, v0, or similar tools. You can quickly build interactive data interfaces that bring analyses to life.</li><li>
Ability to communicate technical concepts to non-technical stakeholders and work effectively with cross-functional teams. Strong data storytelling skills are essential.</li><li>
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in experimental design, A/B testing, and causal inference methodologies&mdash;including propensity score matching, difference-in-differences, or instrumental variables.</li><li>
Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures&mdash;including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications.</li><li>
Experience building AI-assisted analytical workflows&mdash;leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data.</li><li>
Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro), or uncertainty quantification in business contexts.</li><li>
Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications.</li><li>
Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new domain to master and a new problem to crack.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions&mdash;pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes.</div><div>
A team that thinks deeply. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior roles.</div><div></div><div>
Position Level</div>
Associate<div></div><div>
Country</div>
United States of America</div>

Data Scientist (Associate)

Conagra Brands

<div>
 Reporting to the R&amp;D Manager, this role will give you the opportunity to bring bold ideas to life as part of Conagra&rsquo;s Center for Food Design (CFD) in downtown Chicago. You will be immersed in a vibrant, open-office culture surrounded by cutting-edge culinary kitchens, pilot plant capabilities, and specialized labs for baking, salty, and meat snacks. As an Associate Food Scientist for Salty Snacks, you will help shape the future of our Salty Snacks portfolio through innovative product development, flavor exploration, and cross-functional collaboration. This is a fantastic opportunity to grow your career in food science while making a real impact on the snacks people love.
 <br/>
 <br/>
 Your Impact
 <br/>
 <br/>
 <ul>
  <li>
   Create new salty snack products from concept through commercialization, with a focus on seasoning application and flavor innovation.
  </li>
  <li>
   Design and execute plant trials and product start-ups, ensuring smooth transitions from lab to production.
  </li>
  <li>
   Present your work to senior leadership through engaging product cuttings and tastings.
  </li>
  <li>
   Collaborate with cross-functional teams including packaging, processing, labeling, brand, finance, procurement, and legal to bring new products to market.
  </li>
  <li>
   Conduct experiments, analyze results, and maintain accurate documentation using our online specification and recipe/formula tools.
  </li>
  <li>
   Work hands-on with bench and pilot plant equipment to test and refine product concepts.
  </li>
  <li>
   Support business continuity and cost savings initiatives through thoughtful product design.
  </li>
  <li>
   Maintain a clean, organized, and safe workspace, including equipment and surface sanitation.
  </li>
  <li>
   Travel up to 30% to manufacturing facilities, where you&rsquo;ll gain exposure to production environments and processes.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Your Experience
 <br/>
 <br/>
 <ul>
  <li>
   BS in Food Science or a related field required.
  </li>
  <li>
   1+ years of relevant work or internship experience preferred.
  </li>
  <li>
   Knowledge of ingredient functionality; seasoning application experience is a plus.
  </li>
  <li>
   Experience in food product design, formulation, process design, product scale-up, plant testing, and commercialization.
  </li>
  <li>
   A proactive, self-starting mindset with strong problem-solving skills.
  </li>
  <li>
   Skilled at managing multiple projects and tasks with efficiency and focus.
  </li>
  <li>
   Comfortable working in manufacturing environments with varying conditions (noise, heat, cold, wet surfaces).
  </li>
  <li>
   Open to food tasting and exposure to all food allergens.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 You will be onsite 4 days a week.
 <br/>
 <br/>
 Relocation is available for this position. Preference given to local candidates, if applicable.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 Pay Range:$59,000-$78,000
 <br/>
 <br/>
 <em>
  The annual salary listed above is the expected offering for this position. An employee&rsquo;s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees&rsquo; equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.
  <br/>
  <br/>
 </em>
 <strong>
  Our Benefits
  <br/>
  <br/>
 </strong>
 We care about your total well-being and will support you with the following, subject to your location and role:
 <br/>
 <br/>
 <ul>
  <li>
   Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
  </li>
  <li>
   Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan
  </li>
  <li>
   Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement
  </li>
  <li>
   Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Company
  <br/>
  <br/>
 </strong>
 At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions &ndash; within our people and our iconic brands like Birds Eye &reg;, Slim Jim&reg; and Reddi-Wip&reg;.
 <br/>
 <br/>
 Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.
 <br/>
 <br/>
 Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.
 <br/>
 <br/>
</div>


Associate Food Scientist, Salty Snacks

Northwestern Medicine

<div>
 At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better health care, no matter where you work within the Northwestern Medicine system. We pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, our goal is to take care of our employees. Ready to join our quest for better?
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 The
 <strong>
  Medical Laboratory Scientist
 </strong>
 reflects the mission, vision, and values of NM, adheres to the organization&rsquo;s Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards.
 <br/>
 <br/>
 A Medical Laboratory Scientist performs test procedures in a clinical laboratory and conveys the results to the physician or designee in an accurate and timely manner for the purpose of patient diagnosis and treatment
 <br/>
 <br/>
 <strong>
  RESPONSIBILITIES:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Technical responsibilities:
  </li>
  <li>
   Performs all aspects of pre-analytic workflow appropriate for the specific laboratory section to ensure orders are entered correctly, specimens collected are appropriate for the test ordered and are correctly processed/transported.
  </li>
  <li>
   Verifies order where necessary
  </li>
  <li>
   Verifies non-patient information (e.g., collection time) according to established protocol.
  </li>
  <li>
   Handles unresolved orders, troubleshoots where needed.
  </li>
  <li>
   Verifies with physicians and/or nurses prior to laboratory information system (LIS) order entry to resolve unclear, duplicate or otherwise ambiguous orders.
  </li>
  <li>
   Verifies specimens for add-on tests are available and acceptable and generates add-on test orders.
  </li>
  <li>
   Recognizes when fraud and abuse compliance issues require adjustments to the test order
  </li>
  <li>
   Collecting, receiving and processing of specimens:
  </li>
  <li>
   Verifies specimens are correctly and completely labeled upon receipt. Evaluates specimens for appropriateness and takes necessary corrective action. Appropriately documents unacceptable specimens and proper notifications as needed.
  </li>
  <li>
   Prioritizes specimen processing based on established priorities.
  </li>
  <li>
   Aliquots specimens according to established protocols.
  </li>
  <li>
   Performs all aspects of analytical testing appropriate for the specific laboratory section,following established written protocols and standard operating procedures (SOP)
  </li>
  <li>
   Maintains test system integrity:
  </li>
  <li>
   Performs preventive maintenance on instruments/equipment in a timely fashion according to defined schedule.
  </li>
  <li>
   Verifies reagents and supplies meet defined acceptability criteria upon receipt and prior to use; takes action to ensure unacceptable items are removed from use.
  </li>
  <li>
   Ensures that sufficient reagents and supplies necessary for test performance are available. Notifies senior staff when minimum inventory level is encountered.
  </li>
  <li>
   Performs and records all necessary quality control (QC) required for test system performance.
  </li>
  <li>
   Evaluates QC results and takes necessary corrective actions according to established protocol.
  </li>
  <li>
   Performs specimen preparation:
  </li>
  <li>
   Performs any necessary pretest specimen preparation according to protocols (e.g., microbiology plating, cell cultures, filtering, extraction, separation, elution, absorption, etc.)
  </li>
  <li>
   Transfers or ships specimens to approved testing locations according to SOPs
  </li>
  <li>
   Performs tests:
  </li>
  <li>
   Prioritizes testing based on assignment or established priorities, completes testing within defined turn-around-times (TAT).
  </li>
  <li>
   Recognizes the need for and follows any age-specific protocols
  </li>
  <li>
   Responds effectively to changes in the workflow by coordinating a simultaneous series of tests when needed or adjusting work to incorporate STAT tests or fluctuations in work volume.
  </li>
  <li>
   Monitors daily workflow and priorities to assure meeting service levels.
  </li>
  <li>
   Performs technical review and interpretation:
  </li>
  <li>
   Reviews results for completeness, correctness, and consistency within defined test system
  </li>
  <li>
   Evaluates test results/reactions and provides accurate interpretations as appropriate to include correlation with, and integration of, other patient data as necessary.
  </li>
  <li>
   Performs visual interpretation/identifications as appropriate.
  </li>
  <li>
   Recognizes unusual test results/interpretations and completes indicated reflex testing or other follow-up actions.
  </li>
  <li>
   Follows established notification protocols for critical values, phone/fax/e-mail results requests, abnormalities.
  </li>
  <li>
   Troubleshoots and solves problems:
  </li>
  <li>
   Recognizes test system performance problems and takes necessary corrective actions
  </li>
  <li>
   Recognizes when unresolved problems need to be escalated and takes necessary follow-up action.
  </li>
  <li>
   Prints pending logs and follows-up to ensure pending tests are completed or cancelled when appropriate.
  </li>
  <li>
   Post-test specimen storage:
  </li>
  <li>
   Stores specimens and related materials (blood, slides, tissues, etc.) according to protocols for location and duration.
  </li>
  <li>
   Retrieves specimen and related materials when needed
  </li>
  <li>
   Post-analytical responsibilities:
  </li>
  <li>
   Performs all aspects of the post-analytical workflow appropriate for the specific laboratory section to ensure accurate results are reported within established time frames, specimens are retained appropriately, test results and/or current status are available upon inquiry, and billed charges are correct for testing performed.
  </li>
  <li>
   Verifies and reports results:
  </li>
  <li>
   Verifies results according to procedure.
  </li>
  <li>
   Performs computer functions necessary for releasing results.
  </li>
  <li>
   Generates written reports according to established protocol.
  </li>
  <li>
   Reviews electronic or printed reports when applicable, recognizes problems and escalates according to protocol.
  </li>
  <li>
   Amends reports:
  </li>
  <li>
   Corrects erroneous reports and amends reports according to procedure
  </li>
  <li>
   Responds to inquiries:
  </li>
  <li>
   Responds to requests for information according to established protocol for confidentiality and release of information
  </li>
  <li>
   Recognizes when unresolved inquiries need to be escalated and takes action
  </li>
  <li>
   Stores documents and records:
  </li>
  <li>
   Stores documents and records according to established protocol.
  </li>
  <li>
   Charge capture/billing:
  </li>
  <li>
   Performs billing and/or enter credits for tests and services when applicable.
  </li>
  <li>
   Recognizes billing problems and escalates accordingly
  </li>
  <li>
   Universal responsibilities:
  </li>
  <li>
   Ensures quality of operations:
  </li>
  <li>
   Follows written standard operating procedures (SOP).
  </li>
  <li>
   Operates instruments/equipment according to protocol.
  </li>
  <li>
   Uses computers according to established protocol; follows downtime procedures as required.
  </li>
  <li>
   Performs required quality system responsibilities
  </li>
  <li>
   Meets proficiency and competency standards of the department.
  </li>
  <li>
   Participates in the training of new employees and students
  </li>
  <li>
   Performs operational review of new SOPs.
  </li>
  <li>
   Participates in new test development, validations and implementation.
  </li>
  <li>
   Attends at least one personal development session per year
  </li>
  <li>
   Performs other duties as assigned, or as needed, to ensure continued quality operations
  </li>
  <li>
   Ensures safety of operations:
  </li>
  <li>
   Follows all required safety procedures, uses personal protective equipment (PPE) appropriate for tasks performed.
  </li>
  <li>
   Maintains cleans and organized work area
  </li>
  <li>
   Provides service excellence:
  </li>
  <li>
   Answers telephone when needed, using NM telephone etiquette
  </li>
  <li>
   Maintains patient confidentiality including protected health information (PHI)
  </li>
  <li>
   Assists patients, visitors and other contacts whenever need occurs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in Medical Technology, Medical Laboratory Science, Clinical Laboratory Science, Chemistry, Biology, or Allied Health qualifying the applicant to take the American Society for Clinical Pathology (ASCP), or equivalent certification examination.
  </li>
  <li>
   License/Certification and Regulatory Agency
  </li>
  <li>
   General MLS or MT (ASCP) Certification or eligible or
  </li>
  <li>
   Categorical BB, C, H or M (ASCP) Certification or eligible
  </li>
  <li>
   If hired after 1/19/2025 must be ASCP certified (or equivalent certification) within one year of employment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
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 Northwestern Medicine is an equal opportunity employer (disability, VETS) and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status.
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 <strong>
  Background Check
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 Northwestern Medicine conducts a background check that includes criminal history on newly hired team members and, at times, internal transfers. If you are offered a position with us, you will be required to complete an authorization and disclosure form that gives Northwestern Medicine permission to run the background check. Results are evaluated on a case-by-case basis, and we follow all local, state, and federal laws, including the Illinois Health Care Worker Background Check Act.
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  Artificial Intelligence Disclosure
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 Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person.
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  Benefits
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 We offer a wide range of benefits that provide employees with tools and resources to improve their physical, emotional, and financial well-being while providing protection for unexpected life events. Please visit our Benefits section to learn more.
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  Sign-on Bonus Eligibility:
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 Internal employees and rehires who left Northwestern Medicine within 1 year are not eligible for the sign on bonus. Exception: New graduate internal employees seeking their first licensed clinical position at NM may be eligible depending upon the job family.
</div>


Medical Laboratory Scientist - Microbiology, Full-Time, Evenings

<div>Posting Description:
<div><b>
Aon is looking for a Health &amp; Benefits Consultant - Data Warehouse Implementation Manager</b></div><div></div><div><br>
As part of an industry-leading team, you will help empower results for our clients by supporting our health solutions practice in delivering innovative and effective solutions based on Data &amp; Analytics in Atlanta, GA, or Chicago IL or in close proximity to any Aon office in the US.</div><p></p><p><b><br>
Aon is in the business of better decisions</b></p><p></p><p><br>
At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.</p><p><br>
</p><p>As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.</p><p><br>
</p><p><b>What the day will look like</b></p><ul><li>
Implementation and Project Management of Aon&rsquo;s Health Analytics Intelligence Data Warehouse services, including</li><li>
Data Warehouse Project Management and Operational support</li><li>
Work with Aon clients, client team members, and Aon&rsquo;s data warehouse vendor partners to support clients&rsquo; investments in data warehousing including supporting client implementations, data quality assurance, ad hoc requests, and user support.</li><li>
Ensure trackers and issue logs are maintained and up to date. Coordinate with vendor partners and internal partners to facilitate start to finish issue resolution.</li><li>
Support Aon legal processes, by managing sign-off process, execution and storage/maintenance requirements for legal agreements on a client specific and global basis</li><li>
Lead and assist with coordination and creation of team process documentation.</li><li>
Support data structure review and decision process for both platform wide and client specific needs</li><li>
Manage data warehouse vendor through multiple concurrent client implementations, helping define and streamline implementation and production release processes and procedures</li><li>
Lead and support specific large-scale, complex client implementations as needed</li><li>
Assist with defining data warehouse-based data acquisition, development, and analytic best practices and demonstrating the value of our data warehouse platform</li><li>
Support sales and demo</li></ul><p></p><p><b><br>
Skills and experience that will lead to success</b></p><p></p><p><b><br>
Required Experience</b></p><ul><li>
Minimum of 2 years of data management experience or equivalent manipulating large sets of health-related data</li><li>
Minimum of 2 years of Project Management experience as a Project Coordinator, Project Manager, or Equivalent</li><li>
Specific knowledge and experience with healthcare data claims</li><li>
Experience with employer healthcare data &ndash; Benefits Administrator eligibility, medical, drug, and, etc.</li></ul><div></div><div><b><br>
Education</b></div><ul><li>
Bachelor&rsquo;s degree in relevant discipline or equivalent years of industry experience</li></ul><div></div><div><b><br>
Preferred Experience</b></div><ul><li>
3-5+ years of Healthcare related Data Management and Project Management experience</li><li>
CAPM or PMP Certification</li><li>
Experience using data warehouse decision support tools such as IBM/Truven, Cotiviti, HDMS, Artemis, Springbuk, Cedar Gate or similar platforms</li><li>
Experience implementing major carrier provided health data feeds and troubleshooting data quality issues</li><li>
Program and wellness point solution data and data acquisition experience</li></ul><p></p><p><b><br>
Pay Transparency Laws:</b></p><p></p><div><br>
The salary range for this position (intended for U.S. applicants) is $96,000 - $145,000 annually. The actual salary will vary based on applicant&rsquo;s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant&rsquo;s geographic location.<br>
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This position is eligible to participate in one of Aon&rsquo;s annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan.</div><p></p><p><b><br>
How we support our colleagues</b></p><p><br>
</p><p>In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two &ldquo;Global Wellbeing Days&rdquo; each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well.</p><p></p><p><br>
Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.</p><p></p><p><br>
Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.</p><p><br>
</p><div>Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply.</div><div></div><div><br>
We are committed to providing equal employment opportunities and fostering an inclusive workplace. If you require accommodations during the application or interview process, please let us know. You can request accommodations by emailing us at ReasonableAccommodations@Aon.com or your recruiter. We will work with you to meet your needs and ensure a fair and equitable experience.</div><div></div><div><br>
For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances.</div><div></div><div><b><i><br>
Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate.</i></b></div><div></div><p><br>
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.</p><div><b><br>
A summary of all the benefits offered for this position:</b></div><div></div><div><br>
Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon&rsquo;s discretion; medical, dental and vision insurance, various types of leaves of absence, paid time off, including 12 paid holidays throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts, employee and dependent life insurance and supplemental life and AD&amp;D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies.</div><p></p><p><br>
</p><p><b>#LI-HP1</b></p><p><b>
#LI-HYBRID</b></p></div><p></p>

Health Solutions Consultant - Data Warehouse Implementation Manager

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Engineering Manager to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll lead the design, development, and delivery of data infrastructure that powers intelligent systems across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team&mdash;sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.<br>
<br>
This isn't a maintenance role or a ticket queue&mdash;you'll own the full data lifecycle from source integration through analytics-ready delivery, while leading and developing a team of data engineers. You'll build systems that matter: real-time data architectures that feed mission-critical ML models, transformation layers that turn messy enterprise data into trusted datasets, and orchestration systems that ensure reliability at scale. Our clients are Fortune 500 companies looking for partners who can engineer and lead, not just advise.<br>
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The variety is real. In your first year, you might lead a lakehouse implementation for a global manufacturer's IoT data, oversee a real-time streaming architecture for a financial services firm's trading analytics, and architect a data mesh strategy for a utility company's distribution systems&mdash;all while developing the next generation of data engineering talent at Huron. If you thrive on solving complex data challenges, shipping production systems, and building high-performing teams, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Lead and mentor junior data engineers&mdash;provide technical guidance, conduct code reviews, and support professional development. Foster a culture of continuous learning and high-quality engineering practices within the team.</li><li>
Manage complex multi-workstream data engineering projects&mdash;oversee project planning, resource allocation, and delivery timelines. Ensure projects meet quality standards and client expectations while maintaining technical excellence.</li><li>
Design and architect end-to-end data solutions&mdash;from source extraction and ingestion through transformation, quality validation, and delivery. Make key technical decisions and own the overall data architecture.</li><li>
Lead development of modern data transformation layers using dbt&mdash;implementing modular SQL models, testing frameworks, documentation, and CI/CD practices that ensure data quality and maintainability at scale.</li><li>
Architect lakehouse solutions using open table formats (Delta Lake, Apache Iceberg) on Microsoft Fabric, Snowflake, and Databricks&mdash;designing schemas, optimizing performance, and implementing governance frameworks.</li><li>
Establish DataOps best practices&mdash;define and implement CI/CD pipelines for data assets, data quality monitoring, observability, lineage tracking, and automated testing standards to ensure data infrastructure remains reliable in production.</li><li>
Serve as a trusted advisor to clients&mdash;build long-standing partnerships, understand business problems, translate data requirements into technical solutions, and communicate architecture decisions to both technical and executive audiences.</li><li>
Contribute to business development&mdash;participate in business development activities, develop reusable assets and methodologies, and help shape the technical direction of Huron's data engineering capabilities.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
5+ years of hands-on experience building and deploying data pipelines in production&mdash;not just ad-hoc queries and exports. You've built ETL/ELT systems that run reliably, scale, and are maintained over time.</li><li>
Experience leading and developing technical teams&mdash;including coaching, mentorship, code review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent.</li><li>
Strong SQL and Python programming skills with deep experience in PySpark for distributed data processing. SQL for analytics and data modeling; Python/PySpark for pipeline development and large-scale transformations.</li><li>
Experience building data pipelines that serve AI/ML systems, including feature engineering workflows, vector embeddings for retrieval-augmented generation (RAG), and data quality frameworks that ensure model reproducibility. Familiarity with emerging agent integration standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent), and the ability to design data services and APIs that can be discovered and consumed by autonomous AI agents.</li><li>
Experience with modern data transformation tools, dbt particularly. You understand modular SQL development, testing, documentation practices, and how to implement these at scale across teams.</li><li>
Experience with cloud data platforms and lakehouse architectures&mdash;Snowflake, Databricks, Microsoft Fabric, and familiarity with open table formats (Delta Lake, Apache Iceberg). We're platform-flexible but Microsoft-preferred.</li><li>
Proficiency with workflow orchestration tools such as Apache Airflow, Dagster, Prefect, or Microsoft Data Factory. You understand DAGs, scheduling, dependency management, and how to design reliable orchestration at scale.</li><li>
Solid foundation in data modeling concepts: dimensional modeling, data vault, normalization/denormalization, and understanding of when different approaches are appropriate for different use cases.</li><li>
Excellent communication and client management skills&mdash;ability to communicate technical concepts to non-technical stakeholders, lead client meetings, and build trusted relationships with executive audiences.</li><li>
Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in building data infrastructure for ML/AI systems&mdash;feature stores (Feast, Databricks Feature Store), training data pipelines, vector databases for RAG/LLM workloads, or model serving architectures.</li><li>
Experience with real-time and streaming data architectures using Kafka, Spark Streaming, Flink, or Azure Event Hubs, including CDC patterns for data synchronization.</li><li>
Familiarity with MCP (Model Context Protocol), A2A (Agent-to-Agent), or similar standards for AI system data integration.</li><li>
Experience with data quality and observability frameworks such as Great Expectations, Soda, Monte Carlo, or dbt tests at enterprise scale.</li><li>
Knowledge of data governance, cataloging, and lineage tools (Unity Catalog, Purview, Alation, or similar).</li><li>
Experience with high-performance Python data tools such as Polars or DuckDB for efficient data processing.</li><li>
Cloud certifications (Snowflake SnowPro, Databricks Data Engineer, Azure Data Engineer, or AWS Data Analytics).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Contributions to open-source data engineering projects or active participation in the dbt/data community.</li><li>
Master's degree or PhD in a technical field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and data architectures that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new data ecosystem to master and a new platform to ship.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in data infrastructure. The pipelines you build will power real decisions&mdash;the ML models that drive production schedules, the dashboards that inform pricing strategies, the data products that enable self-service analytics. You'll see your work become the foundation others build on.</div><div>
A team that builds. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We write code, build pipelines, and deploy platforms. You'll work alongside engineers and data scientists who understand the craft and push each other to improve.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles.</div><div></div><div>
Position Level</div>
Manager<div></div><div>
Country</div>
United States of America</div>

Data Engineer (Manager)

Glanbia Nutritionals

<div><p>Glanbia is a better nutrition company, home to consumer brands and ingredients that help people around the world feel strong, nourished, and to perform well at any age. Our wide range of dairy and functional proteins offer superior functional properties and excellent nutritional support. US Cheese, together with our joint venture partner, is the leading supplier and marketer of American-style cheddar cheese in the US. Our global ingredient solutions business creates better, healthier and smarter nutritional and functional ingredients for healthy lifestyles.</p><p><b>
Market Intelligence Manager</b></p><p><b>
Job Summary:</b><br>
At Glanbia&rsquo;s Marketing &amp; Insights Center of Excellence, the Market Intelligence Manager plays a key role in surfacing and synthesizing external intelligence to support business growth. From managing vendor relationships and industry resources to producing actionable insights and insightful communications, this role serves as a connective tissue between the outside world and internal intelligence.</p><p></p><p><br>
You are a natural curator of information, a strategic communicator, and a proactive collaborator who thrives on translating trends, data, and research into B2B insights that matter. You will work cross-functionally across Marketing, Product Management, and Commercial teams and will own the execution of key intelligence assets such as internal newsletters and thought leadership support.</p><p></p><p><b><br>
Responsibilities:
</b></p><ul><li>Manage secondary supplier partnerships (e.g., Mintel, Innova, GlobalData), including tracking usage, organizing vendor updates, managing contract administration, and facilitating onboarding or training for internal teams</li><li>
Lead development of Glanbia&rsquo;s internal market intelligence newsletter, distilling industry trends, consumer behavior insights, product innovation, and competitive movement into a monthly, high-value digest for key stakeholders</li><li>
Serve as gatekeeper and coordinator for inbound insights requests, assessing needs and identifying the best resources to deliver relevant, timely responses</li><li>
Conduct competitive market assessments, distilling not only what competitors are doing, but where early signals of traction and momentum are emerging across regions</li><li>
Conduct desk research and leverage primary and syndicated/secondary sources to build reports on market sizing, category performance, and consumer trends</li><li>
Support blog content development for external-facing thought leadership by curating data and insights aligned to strategic themes and planned content calendar</li><li>
Build and maintain a library of evergreen insights content (e.g., category decks, trend reports, and the Insights Reference Library)</li><li>
Serve as an internal expert on syndicated research platforms and industry tools, supporting the team in accessing and interpreting information</li></ul><p></p><p><b><br>
Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Marketing, Business, Market Research, Communication or a related field</li><li>
7+ years of experience in category management, market research, insights, or related roles</li><li>
Strong working knowledge of secondary data platforms such as Mintel, Innova, Euromonitor, or equivalent</li><li>
Proficiency in Microsoft Office Suite (especially PowerPoint and Excel)</li></ul><p></p><p><br>
Whether you want to build muscle, reach peak performance or eat more protein-rich foods we have a product to match. Apply now and make a difference in the world of health and wellness! Glanbia provides a reasonable range of compensation for roles; the annual salary for this role is $90,000 - $100,000 plus an annual bonus. This range may not be applicable to other locations and targeted salary is midpoint of range. Factors that could be used to determine your actual salary may include your specific skills, years of experience and comparison to current employees already in this role.</p><p><br>
</p><p></p><p>At Glanbia, we celebrate diversity, because we know that our individual strengths make us stronger together. We welcome and encourage interest from a wide variety of candidates, and we will give your application consideration, without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.</p><p></p><p><br>
At Glanbia our culture will celebrate individuality, knowing that together we are more.</p></div>

Market Intelligence Manager

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