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Internship Marine Data Science Jobs (NOW HIRING)

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

AstraZeneca

Scientist, Data Science

Waltham, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

  • Retirement

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

  • Retirement

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

LLNL

Data Science Engineer

Livermore, CA

$121K - $154K/yr

  • Retirement

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

TransUnion

Data Science Platform Developer

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own data science requirements and tracking, working to identify strategies and opportunities to ... interns on a project basis, as needed. * Participate in interviewing and evaluation of new talent ...

Trans Union LLC

Data Science Platform Developer

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

O wn data science requirements and tracking , working to identify strategies and opportunities to ... manage research interns on a project basis, as needed. * P articipate in interviewing and ...

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Internship Marine Data Science information

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How much do internship marine data science jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for internship marine data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship in Marine Data Science, and why are they important?

To thrive as an Internship Marine Data Science, you generally need a background in marine science, mathematics, or data science, with proficiency in statistical analysis and data interpretation. Familiarity with programming languages like Python or R, GIS software, and experience handling large datasets are commonly required, and coursework or certifications in these areas are beneficial. Strong analytical thinking, attention to detail, and effective communication skills help interns stand out when collaborating with multidisciplinary teams and presenting findings. These skills ensure accurate data analysis, meaningful insights, and successful contributions to marine research projects.

What is the difference between Internship Marine Data Science vs Marine Data Analyst?

AspectInternship Marine Data ScienceMarine Data Analyst
Required CredentialsTypically pursuing or recent graduate in Marine Science, Data Science, or related fieldsBachelor's or Master's in Marine Science, Data Analysis, or related disciplines
Work EnvironmentInternship programs, research labs, marine research vessels, environmental agenciesEnvironmental agencies, research institutions, maritime companies, consulting firms
Employer & Industry UsageEntry-level, training-focused, often part of academic or research projectsFull-time or part-time roles, applied data analysis in marine contexts

Internship Marine Data Science is an entry-level, training-focused position for students or recent graduates gaining practical experience. Marine Data Analysts are more experienced professionals performing ongoing data analysis tasks in marine industries. The internship provides foundational skills, while the analyst role involves applying those skills in real-world projects.

What types of projects and collaborations can an intern in Marine Data Science expect to work on during their internship?

As a Marine Data Science intern, you will typically work on projects involving the collection, analysis, and visualization of oceanographic or environmental datasets. These projects often require collaboration with marine biologists, oceanographers, and data engineers, allowing you to contribute to multidisciplinary teams addressing real-world marine challenges. Expect to participate in tasks such as processing satellite data, developing predictive models, or creating data dashboards. This hands-on experience helps interns build both technical and scientific communication skills, while gaining insight into the workflow of marine research organizations.

What is an internship in Marine Data Science?

An Internship in Marine Data Science is a temporary position, usually aimed at students or recent graduates, that provides hands-on experience in analyzing and interpreting data related to marine environments. Interns may work with oceanographic datasets, develop models to study marine ecosystems, or use data visualization tools to communicate findings. This role helps interns develop technical skills in programming, statistics, and marine science, while also gaining a better understanding of real-world applications in research, conservation, or industry. Internships can be offered by universities, research institutes, government agencies, or private companies involved in marine science.
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Internship Marine Data Science jobs near you
Infographic showing various Internship Marine Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Scientist, Data Science

AstraZeneca

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

22nd of 86 rated pharmaceutical

Job description

We are seeking a highly motivated Scientist to join a newly formed, dynamic team within early oncology R&D. The successful candidate will leverage their data science expertise in mining large datasets to drive our efforts in target identification, mechanism of action (MOA) studies, and biomarker strategy development, with a particular focus on analyses related to the function and aging of the immune system.
At AstraZeneca, you'll have the opportunity to make a significant impact on the future of healthcare while working in a collaborative environment at the cutting edge of research. The ideal candidate will thrive in this setting, contributing to our growth trajectory as we build our evolving team.
Key Responsibilities:
  • Execute and Maintain Pipelines: Process and analyze large-scale biobank datasets, human population data, and in-vitro biological data using established analysis pipelines.

  • Analytical Support: Apply analytical methods and machine learning algorithms to help identify potential therapeutic targets and biomarkers.

  • Cross-Functional Collaboration: Partner with wet-lab scientists to analyze experimental results for target identification and Mechanism of Action (MOA) studies.

  • Data Visualization: Generate high-quality visualizations and reports to communicate findings to the project team.

  • Strategic Contribution: Provide high-quality data and computational insights that contribute to the development of biomarker strategies.

  • Team Participation: Actively participate in team meetings, presenting data-driven insights to help the group meet project milestones.

  • Continuous Learning: Stay current with the latest developments in data science and bioinformatics tools.

Qualifications:
  • Education: Ph.D. in Bioinformatics, Computational Biology, Data Science, Epidemiology, or a related field (0-2 years post-graduate experience); or MS with 2-4 years of experience; or BS with 4+ years of relevant experience.

  • Data Experience: Minimum 2 years of experience working with large-scale biological or population datasets, preferably including experience analyzing immune system aging/function within the context of human and/or mouse data.

  • Coding Proficiency: Strong proficiency in Python or R.

  • Technical Knowledge: Solid understanding of statistical analysis and foundational machine learning techniques.

  • Genomics Foundation: Hands-on experience with NGS data analysis (e.g., RNA-seq, DNA methylation, ChIP-seq, or ATAC-seq).

  • Multi-omics Interest: Experience with, or a strong desire to learn, proteomic data analysis and multi-omic data integration.

  • Operational Skills: Excellent problem-solving skills, attention to detail, and the ability to manage multiple tasks in a fast-paced environment.

  • Communication: Ability to clearly present data and technical workflows to a multidisciplinary team.

Desired Skills and Attributes:
  • Prior experience or familiarity with biomarkers of immune system aging/function.

  • Prior experience or internship in the pharmaceutical or biotechnology industry.

  • Prior experience running large-scale association testing (e.g., genome-wide association studies [GWAS], epigenome-wide association studies [EWAS], proteome-wide association studies).

  • Familiarity with methods in statistical genetics (e.g., Mendelian randomization, fine mapping, colocalization).

  • Familiarity with machine learning analysis architectures (e.g., random forest, gradient boosting, transformers).

  • Familiarity with public biological databases (e.g., GTEx, TCGA), epidemiological cohort data (e.g., TOPMed cohorts), or biobanks (e.g., UK Biobank, FinnGen).

  • Ability to apply integrated generative protein design pipelines - from target-conditioned backbone generation through sequence design to computational fold validation - to support the development of novel therapeutic biologics with optimized specificity and developability properties.

  • Working knowledge of computational histology pipelines incorporating modern deep learning approaches - including self-supervised and weakly supervised learning (MIL, DINO) and histopathology foundation models (e.g. UNI, CONCH) - to enable scalable, label-efficient classification of complex tissue phenotypes.

  • Familiarity or prior experience with agentic AI in the context of analysis code pipeline development and biological analysis.

  • Evidence of scientific contribution through publications, posters, or GitHub repositories.

As AstraZeneca continues to put patients at the forefront of our mission, we are excited for our move to Kendall Square/Cambridge in 2026. Find out more information here: Kendall Square Press Release
Ready to join us on this mission? Apply now!
If you're curious to know more, please contact Bobbi Poole, our Talent Acquisition Partner.
Competitive remuneration and benefits apply
We offer a competitive Total Reward program including a market driven base salary, bonus and long-term incentive. We have a generous paid time off program and a comprehensive benefits package.
The annual base pay for this position ranges from $91,008.80 - $136,513.20. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
Date Posted
06-Aug-2026
Closing Date
29-Aug-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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