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Internship Evidence Synthesis Jobs (NOW HIRING)

Astera Labs

Performance Engineer

San Jose, CA · On-site

... both synthetic benchmarks and real inference workloads. * Real Workload Analysis & Fabric ... We welcome both recent graduates with strong, directly relevant project, research, or internship ...

Astera Labs

Performance Engineer

San Jose, CA · On-site

... both synthetic benchmarks and real inference workloads. * Real Workload Analysis & Fabric ... We welcome both recent graduates with strong, directly relevant project, research, or internship ...

LINQ

Associate Product Manager

Denver, CO · On-site

What We're Looking For * 4 or more years of professional experience with meaningful internship ... Evidence of shipping something - a project, a process improvement, a prototype - that required you ...

Artefact

Senior, AI & Data Consulting

Manhattan, NY · On-site

Use AI tools daily across your work: analysis, synthesis, writing, and quality checking - with the ... Oversee and mentor entry-level consultants and interns. What We're Looking For * 3-5 years of ...

Artefact

Senior, AI & Data Consulting

Manhattan, NY · On-site

Use AI tools daily across your work: analysis, synthesis, writing, and quality checking - with the ... Oversee and mentor entry-level consultants and interns. What We're Looking For * 3-5 years of ...

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Internship Evidence Synthesis information

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How much do internship evidence synthesis jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for internship evidence synthesis in the United States is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Evidence Synthesis vs Research Assistant?

AspectInternship Evidence SynthesisResearch Assistant
CredentialsTypically requires coursework or background in research methods, evidence-based practice, or related fieldsOften requires a bachelor's degree in a relevant field; some roles prefer research experience
Work EnvironmentUsually in academic, healthcare, or research institutions focusing on evidence reviewIn labs, universities, or research organizations assisting with data collection and analysis
Employer & IndustryAcademic institutions, healthcare organizations, research agenciesUniversities, research institutes, healthcare facilities
Common Search & ComparisonInternship Evidence Synthesis vs Research Assistant

The main difference is that Internship Evidence Synthesis focuses on reviewing and synthesizing existing research evidence, often as part of an internship program. In contrast, Research Assistants typically support data collection and analysis for ongoing research projects. Both roles require research-related skills but differ in scope and responsibilities.

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Internship Evidence Synthesis jobs near you
Infographic showing various Internship Evidence Synthesis job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 63% Physical, 2% Hybrid, and 35% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

Campus Graduate Full-Time Senior Associate - 2027 Digital Product Management, Enterprise Technology

Manhattan, NY • On-site

American Express
See more jobs at American Expressexternal

$89K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago

American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

Job description


At American Express, we empower future product leaders to learn, innovate, and make an impact from day one. As a Sr. Associate Digital Product Management in Enterprise Technology Services, you'll join a full-time graduate program and contribute to product and platform initiatives that help shape seamless customer and colleague experiences.
Product Management sits at the intersection of business, technology, data, design, delivery, and customer experience. In this role, you will help frame customer and colleague problems, translate insights into product opportunities, define success measures, support prioritization, evaluate potential solutions, and collaborate with cross-functional partners to build technology products that create measurable value.
Responsibilities
Responsibilities & What Type of Work to Expect
  • Partner with Product Managers, Engineers, Designers, Data Analysts, Architects, and business stakeholders to support product strategy, discovery, roadmap planning, and product decision-making.
  • Help frame customer or colleague problems, define opportunities, develop hypotheses, and document product requirements, user stories, acceptance criteria, and solution concepts.
  • Conduct customer discovery, stakeholder engagement, user research, usability testing, and synthesis of qualitative and quantitative insights to inform product decisions.
  • Support prioritization by evaluating customer value, business value, technical feasibility, risk, effort, and evidence from product, customer, operational, and business data.
  • Help define product outcomes, KPIs, success measures, dashboards, launch measurement, and post-launch learning plans in partnership with product and analytics teams.
  • Analyze customer, product, operational, and business data to identify trends, insights, opportunities, and recommendations that improve customer or colleague experiences.
  • Collaborate across product, engineering, design, analytics, risk, security, operations, finance, and business teams to explore product concepts, prototypes, APIs, platform capabilities, roadmap tradeoffs, and implementation considerations.
  • Evaluate how AI or automation could improve a customer journey, colleague experience, internal product, analytics practice, documentation workflow, or team process while applying responsible AI and human-in-the-loop practices.

Qualifications
Minimum Qualifications
  • Must have earned a Master's degree in Business, Information Systems, Computer Science, Engineering, Business Analytics, Product Management, Economics, or another relevant field before the full-time start date.
  • Students must have a graduation date between December 2026 and June 2027.
  • Demonstrated interest in technology, product management, digital products, customer experience, AI-enabled products, data-informed decision-making, or enterprise platform concepts.
  • Strong analytical and problem-solving skills with the ability to interpret data, evaluate information, identify patterns, form hypotheses, and develop clear recommendations.
  • Strong written and verbal communication skills with the ability to explain ideas, product decisions, insights, risks, and recommendations clearly to technical and non-technical audiences.
  • Ability to collaborate effectively within cross-functional teams and build strong working relationships with partners and stakeholders.
  • Experience through coursework, projects, internships, research, student organizations, or extracurricular activities that demonstrate leadership, organization, customer focus, product-oriented thinking, data literacy, or technical fluency.

Preferred Qualifications
  • Interest in product management, technology strategy, digital products, customer experience, payments, data analytics, AI, or emerging technologies.
  • Familiarity with Agile, Lean, Scrum, Kanban, product roadmaps, user stories, backlog prioritization, sprint planning, demos, retrospectives, prioritization discussions, risk awareness, or delivery metrics.
  • Exposure to customer research, design thinking, user-centered design, usability testing, journey mapping, product experimentation, launch measurement, post-launch learning, or accessibility practices.
  • Familiarity with technical product concepts, APIs, platform products, data flows, system integrations, SDLC practices, implementation considerations, change management, or release management.
  • Experience using customer insights, dashboards, KPIs, experimentation, product metrics, operational insights, or quantitative and qualitative evidence to support evidence-based product decisions.
  • Interest in AI-enabled product management practices, including generative AI, intelligent automation, AI-assisted discovery or analysis, product analytics, responsible AI usage, and human-in-the-loop validation.
  • Experience using productivity, collaboration, analytics, design, product management, or project management tools such as Jira, Confluence, Figma, Miro, Excel, PowerPoint, Tableau, Power BI, or similar platforms.
  • Demonstrated curiosity, ownership, resilience, learning agility, customer focus, technical fluency, data literacy, and passion for building technology products that create meaningful customer and business value.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
About Us
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
About the Team
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
  • Competitive base salaries
  • Bonus incentives
  • 6% Company Match on retirement savings plan
  • Free financial coaching and financial well-being support
  • Comprehensive medical, dental, vision, life insurance, and disability benefits
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the "Know Your Rights" poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.
The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

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