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Dna Analyst Intern Jobs in Minnesota (NOW HIRING)

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Dna Analyst Intern information

What does a DNA analyst intern do?

A DNA Analyst Intern assists in the analysis and interpretation of DNA samples in a laboratory setting, typically under the supervision of experienced forensic scientists. Responsibilities often include preparing samples, conducting PCR amplification, running electrophoresis, and maintaining detailed records of procedures and results. Interns may also help with equipment maintenance and data entry, gaining hands-on experience with forensic techniques and laboratory protocols. This role provides valuable exposure to the workflow of forensic DNA analysis and helps interns develop skills needed for a career in forensic science.

What are some common challenges faced by DNA analyst interns during their internship?

DNA Analyst Interns often encounter challenges such as adapting to the strict protocols and high accuracy standards required in forensic laboratories. They may also need to quickly learn specialized software for DNA analysis and develop strong attention to detail when handling sensitive biological samples. Effective communication with senior analysts and lab technicians is crucial, as interns frequently collaborate on ongoing cases and research projects. Overcoming the steep learning curve and managing multiple tasks simultaneously are common but rewarding aspects of the internship experience.

What are the key skills and qualifications needed to thrive as a DNA analyst intern, and why are they important?

To thrive as a DNA Analyst Intern, you need a background in biology, chemistry, or forensic science, often supported by relevant coursework or laboratory experience. Familiarity with laboratory equipment, PCR techniques, DNA sequencing software, and chain-of-custody protocols is typically required. Attention to detail, analytical thinking, and effective communication are essential soft skills for handling sensitive data and collaborating with team members. These skills and qualities are vital for ensuring accurate, reliable DNA analysis and maintaining the integrity of forensic investigations.

What is the difference between Dna Analyst Intern vs Dna Laboratory Technician?

AspectDna Analyst InternDna Laboratory Technician
CredentialsTypically pursuing or holding a bachelor's degree in biology, genetics, or related fieldUsually has an associate's degree or relevant certification in laboratory techniques
Work EnvironmentInternship setting, often in research labs or forensic labs, supervised by senior staffFull-time laboratory setting, performing routine DNA testing and analysis
ResponsibilitiesAssisting with DNA extraction, data entry, and learning analytical techniquesPreparing samples, running tests, maintaining lab equipment

The main difference between a Dna Analyst Intern and a Dna Laboratory Technician lies in experience and responsibilities. Interns are in training, assisting with tasks under supervision, while technicians perform routine lab work independently. Both roles are essential in DNA analysis workflows, but the technician role typically requires more hands-on experience and certification.

How do I become a DNA analyst?

To become a DNA analyst, typically a bachelor's degree in biology, chemistry, or forensic science is required. Gaining experience with laboratory techniques, DNA analysis tools, and certifications such as the ASCLD-LAB accreditation can improve job prospects. Some positions may require advanced degrees or specialized training in forensic genetics.

Is it hard to get a job as a DNA analyst?

Securing a position as a DNA analyst can be competitive due to specialized skills required, such as knowledge of molecular biology, forensic techniques, and laboratory procedures. Relevant education, certifications, and experience with DNA analysis tools like PCR and electrophoresis can improve job prospects, but entry-level roles may be accessible with appropriate training and internships.

Is there a demand for DNA analyst interns?

There is a growing demand for DNA analyst interns as forensic laboratories and research institutions expand their genetic analysis capabilities. Internships in this field often require knowledge of molecular biology, laboratory skills, and familiarity with DNA analysis tools such as PCR and sequencing technologies. Opportunities are available in government agencies, private labs, and academic research settings.

What are popular job titles related to Dna Analyst Intern jobs in Minnesota?

For Dna Analyst Intern jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Dna Analyst Intern jobs in Minnesota look for?

The top searched job categories for Dna Analyst Intern jobs in Minnesota are:

What cities in Minnesota are hiring for Dna Analyst Intern jobs?

Cities in Minnesota with the most Dna Analyst Intern job openings:

Dna Analyst Intern jobs near you
Infographic showing various Dna Analyst Intern job openings in Minnesota as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, and 8% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution.

Robotics - Data Science Intern / Co-op - 2026

SupportFinity™

Virginia, MN • On-site

$80 - $120/hr

Other

Medical, Retirement

Posted 9 days ago

Job description

Robotics - Data Science Intern / Co-op - 2026

Are you passionate about data science? Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable research and projects in a collaborative team environment? Do you want to see your science solutions directly impact millions of customers worldwide?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.

We're looking for current Master's and PhD students with a passion for robotic research and applications to join us as Robotics Data Scientist Intern/Co-ops in 2026. Our robotics teams are looking for students with a specialization in robotics, data science, computer vision, large language models, visual language models, statistics, machine learning, causal inference, deep learning, artificial intelligence, applied generative AI, operations research, data analysis, predictive modeling, and more.

By applying to this role, you will be considered for Robotics Data Science Intern/Co-op (2026) opportunities across various robotics teams at Amazon with different research focus. Internship positions are available for multiple locations, durations (3 to 6+ months), and year‑round start dates.

Responsibilities
  • Design and implement state‑of‑the‑art solutions for never‑before‑solved problems.
  • Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the customer experience.
  • Partner with technology and product leaders to solve business problems using scientific approaches.
  • Build new tools and invent business insights that surprise and delight customers.
  • Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes.
  • Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors.
  • Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.
Team

Learn more about Amazon Robotics and our initiatives at Amazon Robotics and Amazon Million Robots AI Foundation Model.

Basic Qualifications
  • 18 years of age or older.
  • Currently enrolled in a Master's or PhD program in Data Science, Mathematics, Statistics, Computer Science, Robotics, Engineering, Machine Learning, Computer Vision, Operations Research, or a related quantitative field.
  • Eligible for and available for a full‑time (40 hours per week) internship based out of the assigned office location for the whole duration of the internship/co‑op.
  • At least one year of relevant academic research or industry experience within relevant science disciplines such as machine learning, applied statistics, computer vision, optimization, or related fields.
  • At least one year of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication.
  • At least one year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB).
Preferred Qualifications
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
  • Excellent communication skills with the ability to explain complex technical concepts to a non‑technical audience, while also efficiently interacting with deeply technical peers.
  • Understanding of data engineering and business intelligence.
  • Quantitative and qualitative data analysis experience with demonstrated impact on a business, a track record of creative problem‑solving, and the desire to create and build new processes.
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Experience with natural language processing (NLP) and working with large language models.
  • Experience with causal inference modeling.
  • Experience with A/B testing and data wrangling.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

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