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What are the key skills and qualifications needed to thrive as a Research Intern, and why are they important?

To thrive as a Research Intern, you need strong analytical abilities, attention to detail, and foundational knowledge in your field of study, often supported by enrollment in a relevant degree program. Familiarity with data analysis software (such as SPSS, R, or Excel), literature databases, and sometimes laboratory equipment or programming languages is typically required. Effective communication, curiosity, and time management are vital soft skills that help interns collaborate and contribute meaningfully to research projects. These competencies are important for producing accurate findings, supporting team objectives, and gaining valuable hands-on experience in research environments.

What are some typical challenges a Research Intern might encounter when starting out, and how can they be addressed?

Research Interns often face challenges such as adapting to new research methodologies, managing multiple tasks with tight deadlines, and learning to navigate academic or corporate research environments. To address these, it's helpful to proactively communicate with your supervisor for clear expectations, seek mentorship from experienced team members, and utilize organizational tools to track assignments. Embracing a collaborative mindset and asking questions early on can also ease the transition and foster professional growth.

What are research interns?

Research interns are individuals, often students or recent graduates, who work temporarily in a research setting to gain practical experience and contribute to ongoing projects. They assist with tasks such as data collection, analysis, literature reviews, and sometimes experimental work under the supervision of experienced researchers. Research internships are valuable opportunities for interns to develop relevant skills, broaden their academic or professional networks, and explore potential career paths in research or academia.

What is the difference between Research Intern vs Research Assistant?

AspectResearch InternResearch Assistant
Required CredentialsTypically students or recent graduates; some internships may require coursework in the fieldOften students or early-career professionals; may require some relevant coursework or experience
Work EnvironmentTemporary, project-based; often in academic, government, or corporate settingsMore consistent, ongoing support roles in labs or research teams
Employer & Industry UsageCommon in universities, research institutes, and corporate R&D departmentsPrimarily in academic labs, research institutions, and industry R&D teams

Research Interns typically are students or recent graduates gaining initial experience through temporary roles, while Research Assistants are more involved in ongoing research projects, often with some prior coursework or experience. Both roles support research activities but differ mainly in duration and level of responsibility.

What are the most popular categories at Msd?
Infographic showing various Research Intern job openings at Msd in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 88% Physical, 7% Hybrid, and 5% Remote job distribution.
Intern - MSD DAQ Modernization

Intern - MSD DAQ Modernization

SLAC National Accelerator Laboratory

Menlo Park, CA • On-site

Full-time

Posted 14 days ago


Job description

SLAC Job Postings
Position Overview:
Stanford Synchrotron Radiation Lightsource (SSRL), a SLAC National Accelerator Laboratory Science Directorate at Stanford University, is a national scientific user facility. SLAC has an active program in the field of Microelectronics through its active participation in several initiatives related to the Department of Energy. The following are the expectations of the job. The summer internship will consist of developing AI-guided automation tools to enable autonomous x-ray characterization of thin films relevant to non-volatile memory. The intern should have a good grasp of science concepts and some background in programming, preferably in Python.
The student will work closely with members of a team involved in the growth and characterization of new classes of ferroelectric and oxide semiconducting materials towards the end goal of lower energy consumption electronic devices. One of the primary characterization techniques used will be synchrotron x-ray diffraction (XRD) carried out at SSRL. This project would involve creating a system where the results of XRD analysis are used to adjust parameters of the XRD experiment. For instance, if the analysis reveals a weak signal, the system could automatically increase the exposure time or adjust the sample position. This would require an interface between the data analysis software and the control software of the XRD instrument. Students could design a basic control loop where the software would make an initial measurement, analyze the data, and then adjust parameters and repeat the measurement based on the initial analysis.
In this position the student will have the opportunity to gain valuable hands-on experience by working to bridge their knowledge of basic physics principles with new perspectives in thinking about using ML algorithms towards solving real world problems and gain work experience.
Your specific responsibilities include:
  • Conduct data analysis to ascertain the quality and verity of data, in partnership with the mentor.
  • Feature extraction from data to guide next experimental steps
  • Develop machine learning (ML) models to predict the next data collection step
  • Program the bluesky data acquisition system to automate data collection
  • Prepare reports and scientific publications outlining the advances under the aegis of the mentor.
Opportunities and Benefits:
  • Great resume builder for someone seeking practical experience in a scientific and research environment
  • Opportunity to become more closely connected to the Stanford/SLAC scientific community, as the intern will be working with both students and staff from many different discipline
  • Opportunity to learn about SLAC and exposure to the work environment in a research and user facility
  • Opportunity to work with engineers, scientists and technical staff on cutting-edge technologies
Note: This is an hourly, non-benefits eligible temporary-nonexempt student position (work at 50% full-time equivalent or more), not to exceed 980 hours in six consecutive months Eligible applicants must be at least 18 years of age, currently enrolled in an educational program or recently graduated, and have US work authorization
To be successful in this position you will bring:
  • Pursuing a Bachelor's degree in a science, engineering or equivalent discipline.
  • Some prior experience at Python programming would be beneficial.
  • Strong communication skills.
  • Ability to work in a collaborative environment.
  • Passionate about innovative solutions for Science & Engineering problems .
SLAC Employee Competencies:
  • Effective Decisions: Uses job knowledge and solid judgment to make quality decisions in a timely manner.
  • Self-Development: Pursues a variety of venues and opportunities to continue learning and developing.
  • Dependability: Can be counted on to deliver results with a sense of personal responsibility for expected outcomes.
  • Initiative: Pursues work and interactions proactively with optimism, positive energy, and motivation to move things forward.
  • Adaptability: Flexes as needed when change occurs, maintains an open outlook while adjusting and accommodating changes.
  • Communication: Ensures effective information flow to various audiences and creates and delivers clear, appropriate written, spoken, presented messages.
  • Relationships: Builds relationships to foster trust, collaboration, and a positive climate to achieve common goals.
Physical requirements and Working conditions:
  • Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
  • Given the nature of this position, SLAC will require onsite work.
Work standards:
  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for environment, safety and security; communicates related concerns; uses and promotes safe behaviors based on training and lessons learned. Meets the applicable roles and responsibilities as described in the ESH Manual, Chapter 1¿General Policy and Responsibilities :http://wwwgroup.slac.stanford.edu/esh/eshmanual/pdfs/ESHch01.pdf
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu
  • As a national laboratory, SLAC National Accelerator Laboratory is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require employees to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
  • Classification Title : SLAC Intern Students [Undergraduate Level III]
  • Job code : 0901
  • Employment Duration : 10 weeks
The expected pay range for this position is $ 27.48 - $ 30.63 per hour.
SLAC National Accelerator Laboratory/Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
At SLAC/Stanford, base pay represents only one aspect of the comprehensive rewards package.