data science intern

AuraNex Solutions

Company DescriptionAuraNex Solutions is a technology-driven company specializing in AI-powered systems, SaaS platforms, and automation solutions designed to solve real-world business challenges. Focused on innovation and efficiency, AuraNex combines modern software engineering and advanced technologies to develop scalable solutions that enhance productivity and support data-driven decision-making. The company works closely with startups and businesses to transform ideas into functional digital products, including custom software, web applications, and intelligent automation systems. With a commitment to quality and long-term collaboration, AuraNex Solutions empowers organizations to thrive in today&rsquo;s evolving digital environment.Role DescriptionThis is a full-time, on-site role based in Abbottabad District for an Artificial Intelligence Intern. The intern will support the design, development, and implementation of machine learning models, assist in analyzing large datasets to derive actionable insights, and collaborate with the team to create AI-driven solutions. Additional responsibilities include testing and debugging code, preparing progress reports, and contributing to innovative AI research and applications.Qualifications<ul><li>Strong foundation in Computer Science and Analytical Skills</li><li>Proficiency in Data Science and familiarity with Machine Learning frameworks</li><li>Experience or coursework in Programming, with knowledge of languages such as Python, R, or Java</li><li>Ability to conduct research, experiment, and apply new AI methods</li><li>Strong problem-solving skills and attention to detail</li><li>Team-oriented mindset with effective communication and collaboration capabilities</li><li>Enthusiasm for AI technologies and innovation</li><li>Pursuing or recently completed a degree in Computer Science, Data Science, or a related field</li></ul>Job Types: Full-time, Internship, Fresher Contract length: 3-6 monthsWork Location: Remote

AI Intern

Henkel

<div><div><h4 class="jobSectionHeader">About this Position
</h4>As a Digital Engineer Intern, you will support Henkel&rsquo;s digital transformation initiatives by contributing to the development, implementation, and optimization of digital engineering solutions. You will collaborate with cross-functional teams across Engineering, IT, Operations, and Data Analytics to enhance processes, improve system performance, and drive data-driven decision-making. This internship offers hands-on exposure to real-world digital engineering projects within a global industrial environment, enabling you to build practical skills while contributing to impactful business outcomes. 
 
<h4 class="jobSectionHeader">What you&acute;ll do
</h4>
<h4 class="jobSectionHeader">What makes you a good fit</h4><ul><li>
Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Engineering (Digital, Industrial, Electrical, Mechanical), Computer Science, Data Science, or a related field</li><li>
Basic knowledge of digital technologies such as automation systems, data analytics, cloud platforms, or IoT
 
Programming or scripting experience (e.g., Python, SQL, MATLAB, or similar) is a plus</li><li>
Familiarity with engineering tools, databases, or data visualization software is an advantage</li><li>
Strong analytical and problem-solving skills</li><li>
Ability to work both independently and collaboratively within a team environment</li><li>
Good communication skills in English; additional languages are a plus</li></ul>
At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.</div></div>

Digital Intern Riyadh, KSA

Netflix

<div>
 At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what&rsquo;s next.
 
 
 
 
 The Analytics Engineering Teams
 
 
 
 
 Analytics Engineering interns will be fully embedded within teams that build tools and services essential for scaling the Netflix application platform to a massive device ecosystem. These teams leverage innovation and scale to drive value on screen and support efficient operational execution. Interns will work on deriving actionable insights from data to ensure high-quality standards, measure product feature reliability, assess device ecosystem health, and enhance engineering operational efficiency. This role involves heavy reliance on cross-functional partnerships, collaborating with software engineers and product managers to enable data collection, improve metric fidelity, and develop technical data products and intelligence systems.
 
 
 
 
 Who Are You?
 
 
 
 
 You are a curious, collaborative, resourceful, and motivated student who is eager to learn from a team of senior engineers. You possess a passion for problem-solving and are comfortable tackling complex, open-ended challenges using data-driven solutions.
 
 
 
 
 Must-Haves
 
 
 
 
 <ul>
 <li>
 Currently enrolled in a full-time accredited academic program (M.S., or Ph.D.) in Computer Science, Engineering, Data Science, or a related technical field graduating in December 2026, Summer 2027 or later.
 </li>
 <ul>
 <li>
 To be intern-eligible, you must be returning to school for one semester or quarter post-Summer internship.
 </li>
 </ul>
 <li>
 Hands-on keyboard experience with data analysis.
 </li>
 <li>
 High proficiency in the standard data science tech stack.
 </li>
 <li>
 Experience leveraging distributed systems for large-scale data processing.
 </li>
 <li>
 Proficiency in SQL.
 </li>
 <li>
 Experienced in Python or Java.
 </li>
 <li>
 Hands-on experience building intuitive schemas and data models for datasets
 </li>
 <li>
 Excellent communication and collaboration skills.
 
 </li>
 </ul>
 
 Nice-to-Haves
 
 
 
 <ul>
 <li>
 Experience leveraging statistical inference and machine learning models to present actionable insights.
 </li>
 <li>
 Working knowledge of data visualization tools (e.g., Tableau, Plotly, Matplotlib).
 </li>
 <li>
 Ability to convey complex data insights to stakeholders of varying technical backgrounds.
 </li>
 <li>
 A positive attitude that welcomes opportunities to give and receive candid feedback.
 </li>
 <li>
 A tendency to perceive ambiguity as an opportunity to explore possibilities.
 </li>
 <li>
 Excitement about security or complex problem domains
 
 
 </li>
 </ul>
 
 
 What You'll Do
 
 
 
 
 
 Responsibilities
 
 
 
 As an Analytics Engineering Intern, you will have the opportunity to take ownership of an end-to-end analytics project or tool. Your responsibilities will typically include:
 
 
 <ul>
 <li>
 Designing, building, and maintaining data pipelines to collect, process, and analyze large and complex data sets from various sources.
 </li>
 <li>
 Defining foundational data models and working toward the productization of the final analytical tool.
 </li>
 <li>
 Analyzing request patterns, identifying new signals, performing anomaly detection, and recommending adjustments based on quantified impact.
 </li>
 <li>
 Creating insightful data visualizations and dashboards using tools like Tableau to help stakeholders easily understand and act upon data.
 </li>
 <li>
 Collaborating with engineers during the development process to gather feedback and iterate on design improvements.
 </li>
 <li>
 Communicating key insights and developing dashboards to cascade them to a wide range of stakeholders across the organization.
 
 
 </li>
 </ul>
 
 
 The Summer Internship
 
 
 
 
 At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture. The overall market range for Netflix Internships is typically $40/hour - $110/hour. This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here. Internships are typically 12 weeks long. Conditions permitting, our summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.
 
 
 Our culture is unique, and we live by our values. For more information on what it's like to work at Netflix, please take a look at our culture memo.
 
 
 Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
 
 
 Netflix is a unique culture and environment. Learn more here.
 
 
 Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
 
 
 We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
 
 
 Job is open for no less than 7 days and will be removed when the position is filled.
</div>

Analytics Engineering Intern, Summer 2026

PopUp Bagels

<div><div><div>Franchise Development &amp; Construction &ndash; Data Analytics Intern</div><div>
Department: Franchise Development &amp; Construction 
Program Length: 10 Weeks (Summer Internship Program)</div><div>
Location: On-site in Marietta, GA</div><div>
Reports to: Development and Construction Team</div><div>
Role type: Hourly</div>
About PopUp Bagels
PopUp Bagels is not just a bagel company&mdash;we&rsquo;re a cultural movement. Our stores are small, our vibes are loud, and our energy is contagious. From signature neon and iconic bullhorns to our &ldquo;Not Famous but Known&rdquo; mirror, we&rsquo;ve reimagined not just how a bagel is created, but how it&rsquo;s enjoyed: Grip, Rip and Dip! With a cult-like following, massive social presence, and unparalleled collaborations with top companies, partners and Brand Ambassadors PopUp Bagels is defining a new food lifestyle brand.
We keep things simple, but we do them really, really well. And our customers agree.
The Role
The Franchise Data Analytics Intern will support PopUp Bagels&rsquo; corporate Development and Construction teams through data-driven reporting, analysis, and project-based work that helps improve decision-making and execution across new shop openings, timeline builds, and development planning. This intern will gain hands-on experience working with real business data, building dashboards and performance trackers, and translating insights into clear recommendations for cross-functional stakeholders. The ideal candidate is analytical, detail-oriented, and eager to learn how data supports growth in a fast-paced, high-growth franchise environment.<div>
Essential Responsibilities:</div><ul><li>
Assistin collecting, cleaning, organizing, and validatingdevelopment, construction, and new store openingdata from multiple sources (spreadsheets, trackers, internal systems, etc.).</li><li>
Build andmaintainreporting tools and dashboards to support visibility into key milestones, timelines, and project progress.</li><li>
Support weekly and monthly reporting related to pipeline tracking, shop openings, construction status, and project performance, analyzing trends across development and construction timelines.</li><li>
Identifyopportunities to improve data consistency, workflow tracking, and cross-functional reportingand create clear summaries, charts, and insightsfor presenting.</li><li>
Assistindocumenting processes and improving existing trackersand reporting templates for scalability.</li><li>
Participate in team meetings and collaborate with various departmentsand perform project-based deliverables within deadlines.</li></ul><div>
General Internship Program Expectations</div></div><div><ul><li>
Attend intern onboarding sessions,weekly departmentalcheck-ins, and end-of-program presentations.</li><li>
Curiosity and initiative to troubleshoot issues, improve reporting methods, and propose solutions.</li><li>
Communicate progress and ask questions proactively to ensure alignment and learning.</li><li>
Ability to manage multiple tasks, meet deadlines, and prioritize in a fast-paced environment.</li><li>
Comfortable operating in a growing, evolving environment where priorities and needs may shift quickly.</li><li>
Excellent organizational and project management skills with the ability to manage multiple deadlines.</li></ul><div>
Required Education, Experience, and Competencies:</div><ul><li>
Currently enrolled as a Junior or Senior undergraduate student, or graduate student, in one of the following (or a closely related field): Data Science, Computer Science, Statistics, Business Analytics, or Economics</li><li>
Previousinternship, project work, or coursework involving data analysis, reporting, dashboards, or business insights (highly preferred)</li><li>
Experience working with and interpreting large datasets, spreadsheets, or data visualization tools in an academic or professional setting and presenting findings in a clear, concise manner</li><li>
Proficiencyin Microsoft Excel or Google Sheets (pivot tables, formulas, data validation); familiarity with data visualization tools (e.g., Power BI, Tableau, Looker Studio) is a plus</li><li>
Statistical fundamentals:Working knowledge of regression concepts including multicollinearity, heteroskedasticity, R&sup2;, adjusted R&sup2;, p-values, and confidence intervals</li><li>
Data wrangling:Ability to clean, merge, and transform messy datasets (e.g., sales by location, foot traffic, demographic overlays) using tools such as pandas ordplyr; experience constructing and selecting meaningful independent variables (e.g., AUV, daypart mix, trade area demographics, lease commencement dates, proximity to anchor tenants)</li><li>
Geospatial literacy:Familiarity with GIS tools or Python libraries (e.g.,GeoPandas, Folium) to incorporate location-based variables into site evaluation and scoring</li><li>
Data visualization:Ability to create clear analytical outputs such as residual plots, correlation heatmaps, and coefficient charts using tools like Matplotlib, Seaborn, or Tableau, and communicate insights to non-technical stakeholders</li><li>
Spreadsheet fluency:Ability tovalidateanalytical outputs against Excel/Google Sheets and build clean, executive-ready summary tables</li></ul><div>
Location: Based Atlanta, GA or surrounding area and available for 10-week summer intern program between June-July.</div>
Physical Requirements</div><div><ul><li>
Prolonged periods of sitting and working at a computer to complete reports, analysis, and documentation.</li><li>
Ability to occasionally lift and move up to15 pounds(e.g., laptop, materials, supplies) if needed.</li><li>
Ability to travel locally to corporate sites or shops on occasion, ifrequiredforinternshipexposure.</li></ul><div>
Additional Role Note:</div><div>
The duties of this position may change from time to time. PopUp Bagels reserves the right to add or delete duties and responsibilities at the discretion of PopUp Bagels or its managers. This job description is intended to describe the general work level. It is not intended to be all-inclusive.</div>
PopUp Bagels is proud to be an Equal Opportunity Employer. We do not discriminate based on race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under other protected statuses or any other characteristic as protected under applicable federal, state and local law.
We use eVerify to confirm U.S. Employment eligibility</div></div>

Franchise Dev & Const. Data Analytics Intern

Deeva Inc

We are a growing grocery &amp; gourmet foods company that has been in business for over 30 years. We are a national brand reaching millions of consumers across the U.S. with our spices, flours, beans, lentils, oils, and more. Our products are sold both online and through grocery retail channels nationwide.We operate in an entrepreneurial environment where ideas move quickly and interns are treated as real contributors&mdash;not observers or paper pushers. You will work directly with executives and leadership on meaningful business problems with real-world impact.We want to start an AI-first initiative across the company&mdash;and we are looking for sharp, motivated students to help lead it.The RoleThis is not a traditional internship.As an AI Summer Intern, you will:<ul><li>Work directly with company executives to identify real business problems AI can solve</li><li>Help educate leadership and teams on practical AI tools and workflows</li><li>Design and prototype AI-driven solutions across areas such as:</li><li>Sales &amp; demand forecasting</li><li>Customer insights &amp; marketing automation</li><li>Internal productivity automation</li><li>Own a summer-long AI project with measurable business impact</li><li>Present your work directly to leadership at the end of the internship</li></ul>You will be expected to think like a builder, experiment quickly, and communicate clearly with non-technical stakeholders.What You&rsquo;ll Learn<ul><li>How AI is actually applied inside a real consumer goods business</li><li>How executives think about operations, growth, and efficiency</li><li>How to turn AI tools into real production workflows (not just prototypes)</li><li>How to work cross-functionally in a fast-paced entrepreneurial company</li></ul>Who We&rsquo;re Looking ForWe are looking for exceptional students who are:<ul><li>Strong in computer science, data science, engineering, AI/ML, or related fields. Bonus if also experienced in business related fields.</li><li>Comfortable with AI tools (ChatGPT, APIs, automation tools, or machine learning concepts)</li><li>Curious, resourceful, and able to independently explore solutions</li><li>Strong communicators who can explain technical ideas simply</li><li>Excited to work directly with executives and solve real business problems</li></ul>Bonus if you have:<ul><li>Experience building AI apps, automation workflows, or data projects</li><li>Familiarity with Python, APIs, or data tools</li><li>Startup or entrepreneurial experience</li></ul>Pay: $15.00 - $30.00 per hourWork Location: In person

AI Summer Intern Wanted in Houston (Executive AI Program)

CRDF Global

<div>Job Description: 
Job Title: AI Intern
Location : Arlington, United States;
Department : Information Technology
Pay Rates : Hourly, based on location 

Position Summary
We are seeking motivated and curious AI Interns to support the design, testing, and implementation of artificial intelligence initiatives across business functions. Interns will be embedded within IT and business functions to identify, scope, and build AI use cases across our Microsoft 365 ecosystem and SaaS platforms including Costpoint, Deltek Talent, Salesforce, Paycom, and Concur &mdash; gaining real-world experience on production systems from day one. 

Key Responsibilities
<ul><li>Partner with designated business function leads and IT mentors to identify, document, and prioritize artificial intelligence opportunities across Microsoft 365 (Teams, SharePoint, Outlook, Excel), Power Platform, and SaaS platforms including Costpoint, Deltek Talent, Salesforce, Paycom, and Concur</li>
<li>Conduct research on emerging AI technologies and industry best practices
</li><li>Design, test, and refine prompts and AI workflows using Microsoft 365 Copilot, Copilot Studio, OpenAI (ChatGPT), Google Gemini, Anthropic Claude, and other approved generative AI tools to augment business processes</li>
<li>Analyze data and prepare insights to support decision-making
</li><li>Document processes, solutions, and user guides for implemented automations
</li><li>Collaborate with assigned IT mentor and business function sponsor to gather requirements and validate solutions</li></ul> 

Cultural Requirements:
<ul><li>Trust</li></ul>
 o Must operate to the highest standards of ethics and integrity
 o Be accountable for performance to goals and objective of the position as set by leadership
o Be a reliable member of the team that the organization can count on
<ul><li>Teamwork</li></ul>
 o Treat all people in a respectful and supportive manner
 o Work collaboratively with others
 o Be flexible and adaptable to change
<ul><li>Communication
</li></ul>o Seeks to achieve shared understandings when communicating
o Actively listens to others
o Respects and encouraged diverse perspectives
o Shares information openly and willingly 
Qualifications
<ul><li>Currently pursuing a degree in Computer Science, Information Systems, Data Science, Business Analytics, or a related field
</li><li>Interest in AI, automation, or digital transformation
</li><li>Familiarity with Microsoft Power Platform (Power Automate, Power Apps, Power BI) is strongly preferred; experience with Python, SQL, or REST APIs is a plus</li>
<li>Strong problem-solving and analytical skills
</li><li>Excellent communication and organizational skills
</li><li>Ability to work independently and as part of a team</li></ul> 

Preferred
<ul><li>Hands-on experience with generative AI platforms such as Microsoft 365 Copilot, OpenAI (ChatGPT), Google Gemini, or Anthropic Claude in a professional or academic setting</li>
<li>Proficiency in Power BI or comparable data visualization tools; familiarity with SharePoint or Teams as a reporting and communication layer</li></ul></div>

Artificial Intelligence (AI) Intern

Lumeris

<div>Your Future is our Future
At Lumeris, we believe that our greatest achievements are made possible by the talent and commitment of our team members. That's why we are actively seeking talented and collaborative individuals who are passionate about making a difference in the healthcare industry. Join us today as we strive to create a system of care that every doctor wants for their own family and become part of a community that values its people and empowers you to make an impact.<h1 class="jobSectionHeader">
Position:</h1>
Clinical AI Engineering Intern<h1 class="jobSectionHeader">
Position Summary:</h1>
Lumeris is physician-founded, mission-driven, and building the future of primary care. Our platform, Tom, is an agentic AI that works alongside care teams &mdash; automating routine tasks, surfacing the Best Next Action for every patient in real time, and delivering proactive outreach before, during, and after patient visits. Built on billions of clinical data points and over 100 EHR integrations, Tom powers Primary Care as a Service &mdash; helping health systems improve outcomes, reduce burden on physicians, and deliver value-based care at scale. 
 
As an AI/ML Intern at Lumeris, you will work directly on the technical core of Tom &mdash; building and fine-tuning large language models using real-world longitudinal clinical data. The goal: expand Tom&rsquo;s predictive capabilities, with specific targets including 30-day readmission rates and time-to-event modeling. This is not a passive learning experience. You will be an active contributor to a defined, high-impact research initiative running on Google Cloud Platform, working alongside ML engineers, data scientists, and clinical informatics experts. The work is experimental, scientifically rigorous, and directly tied to patient outcomes.
 
 
<ul><li>Applicants must be based in the greater Boston area with ability to travel to Cambridge 3-days per week.</li></ul><h1 class="jobSectionHeader">
Job Description:</h1>
Primary Responsibilities<ul><li> 
LLM Training &amp; Model Development
<ul><li>Fine-tune and train large language models using longitudinal clinical patient data on GCP infrastructure, with a focus on expanding Tom&rsquo;s predictive capabilities.</li><li>
Contribute to the design and experimentation of transformer-based architectures and embedding models aimed at predicting specific clinical outcomes. 
</li><li>Assist in evaluating model performance against defined prediction targets including 30-day readmissions and time-to-event events.</li></ul></li><li> 
Experimentation &amp; Research
<ul><li>Operate in an experiment-driven development environment &mdash; designing tests, iterating on model behavior, tracking results, and documenting findings with scientific rigor. 
</li><li>Explore and apply LLM fine-tuning techniques (e.g., LoRA, PEFT, supervised fine-tuning) appropriate to the clinical data and prediction objectives. 
</li><li>Contribute to the team&rsquo;s working knowledge of embedding models, sequence-based architectures, and clinical data preprocessing.</li></ul></li><li> 
Collaboration &amp; Deliverables 
<ul><li>Work cross-functionally with ML engineers, clinical informatics specialists, and data scientists in a highly collaborative research environment. 
</li><li>Engage with a structured mentorship model &mdash; supported by project mentors and a dedicated technical mentor throughout the engagement. 
</li><li>Prepare and present a formal project deliverable at the conclusion of the internship, summarizing methodology, outcomes, and recommendations.</li></ul></li></ul>
Qualifications<ul><li>
Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Computational Biology, Biomedical Informatics, or a closely related field.</li><li>
Coursework or hands-on experience in machine learning, deep learning, or neural networks.</li><li>
Foundational understanding of how LLMs work, including transformer architectures and model training pipelines.</li><li>
Strong analytical and problem-solving skills with a scientific, experiment-driven mindset.</li><li>
Effective communication skills and ability to work collaboratively in a research-oriented team environment.</li></ul>
Preferred<ul><li>
Experience with LLM fine-tuning techniques (e.g., LoRA, PEFT, instruction tuning, supervised fine-tuning).</li><li>
Familiarity with Google Cloud Platform (GCP) or other cloud environments for ML workloads.</li><li>
Experience with Survival Modeling Techniques</li><li>
Experience with standard medical terminologies like OMOP, FHIR</li><li>
Background in clinical informatics, bioinformatics, or healthcare data.</li><li>
Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers.</li><li>
Prior research experience (academic, industry, or self-directed) &mdash; particularly in applied ML or healthcare AI.</li><li>
Exposure to embedding models, vector databases, or sequence-based modeling.</li><li>
Graduate-level coursework in NLP, deep learning, or biomedical data science is a strong plus.</li></ul><h1 class="jobSectionHeader">
Pay Transparency:</h1>
Factors that may be used to determine your actual pay rate include your specific skills, experience, qualifications, location, and comparison to other employees already in this role. In addition to the base salary, certain roles may qualify for a performance-based incentive and/or equity, with eligibility depending on the position. These rewards are based on a combination of company performance and individual achievements.
The hiring range for this position is:
$54,800.00-$73,250.00
Benefits of working at Lumeris<ul><li>
Medical, Vision and Dental Plans</li><li>
Tax-Advantage Savings Accounts (FSA &amp; HSA)</li><li>
Life Insurance and Disability Insurance</li><li>
Paid Time Off (PTO, Sick Time, Paid Leave, Volunteer &amp; Wellness Days)</li><li>
Employee Assistance Program</li><li>
401k with company match</li><li>
Employee Resource Groups</li><li>
Employee Discount Program</li><li>
Learning and Development Opportunities</li><li>
And much more...</li></ul>
Be part of a team that is changing healthcare!<h1 class="jobSectionHeader">
Member Facing Position:
</h1>No- Not Member or Patient Facing Position<h1 class="jobSectionHeader">
Location:</h1>
Massachusetts<h1 class="jobSectionHeader">
Time Type:</h1>
Full time<h1 class="jobSectionHeader">
Lumeris and its partners are committed to protecting our high-risk members &amp; prospects when conducting business in-person. All personnel who interact with at-risk members or prospects are required to have completed, at a minimum, the initial series of an approved COVID-19 vaccine. If this role has been identified as member-facing, proof of vaccination will be required as a condition of employment.</h1><h1 class="jobSectionHeader">
Disclaimer:</h1><ul><li><h1 class="jobSectionHeader">
The job description describes the general nature and level of work being performed by people assigned to this job and is not intended to be an exhaustive list of all responsibilities, duties and skills required. The physical activities, demands and working conditions represent those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individual with disabilities to perform the essential job duties and responsibilities.</h1></li></ul><h1 class="jobSectionHeader">
Lumeris is an EEO/AA employer M/F/V/D.</h1></div>

Clinical AI Engineering Intern

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