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Remote Life Science Internship Jobs in Oklahoma (NOW HIRING)

$13 - $17.50/hr

If you love using innovative technology to tackle tough science problems and working in a fast ... As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ...

We recognize the benefits of flexible, remote working arrangements for eligible roles and are ... Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner ...

$27/hr

Novogradac believes in giving our interns a real-life business experience and compensating you well while you're here. Some positions at Novogradac may be open to remote or hybrid work arrangements ...

Are you ready to accelerate your potential and make a real difference within life sciences ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Remote, United States Date Posted: Jun 2, 2026 Employment Type: Full Time Job ID: R-1980 Description Norstella is a premier and critical global life sciences data and AI solutions platform dedicated ...

Remote, United States Date Posted: Jun 2, 2026 Employment Type: Full Time Job ID: R-1980 Description Norstella is a premier and critical global life sciences data and AI solutions platform dedicated ...

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Remote Life Science Internship information

What is a remote life science internship?

A Remote Life Science Internship is a work experience opportunity in the fields of biology, biotechnology, pharmacology, or related life sciences that is completed virtually rather than in a physical office or laboratory. Interns typically work from home and connect with supervisors and colleagues via online platforms. Tasks may include data analysis, literature research, writing reports, or assisting with virtual experiments. This arrangement allows students and recent graduates to gain practical experience and skills relevant to life sciences careers, regardless of their geographic location.

What are the key skills and qualifications needed to thrive as a remote life science intern?

To thrive as a Remote Life Science Intern, you need a foundational understanding of biological sciences, research methodologies, and data analysis, typically supported by enrollment in or completion of a relevant degree program. Familiarity with digital collaboration platforms, statistical software (such as R or SPSS), and literature databases is often expected. Strong communication, self-motivation, and time management skills help interns excel in a remote environment. These abilities enable effective contribution to research projects, ensure productivity without direct supervision, and facilitate collaboration with global teams.

What are some common challenges faced during a remote life science internship and how can I overcome them?

A common challenge in a remote life science internship is limited hands-on laboratory experience, since much of the work is conducted virtually. To overcome this, interns should proactively engage with digital simulations, data analysis projects, and virtual lab meetings to build relevant skills. Effective communication is also key—regularly checking in with mentors and collaborating with team members helps bridge the gap created by physical distance. Staying organized and setting clear goals can further enhance productivity and learning throughout the internship.

What are popular job titles related to Remote Life Science Internship jobs in Oklahoma?

For Remote Life Science Internship jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Remote Life Science Internship jobs in Oklahoma look for?

The top searched job categories for Remote Life Science Internship jobs in Oklahoma are:

What cities in Oklahoma are hiring for Remote Life Science Internship jobs?

Cities in Oklahoma with the most Remote Life Science Internship job openings:

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Internship

Re-posted 24 days ago


Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN