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Internship Map Analyst Jobs in Boston, MA (NOW HIRING)

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ... fine mapping, colocalization). * Familiarity with machine learning analysis architectures (e.g ...

Medtronic

Principal Manufacturing Engineer

Danvers, MA · On-site

$148K - $184K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply DMAIC (Design, Measure, Analyze, Improve, and Control) problem solving methodologies. Develop ... process maps, within the MES framework. Conduct Installation Qualification, Operational ...

Medtronic

Principal Manufacturing Engineer

Danvers, MA · On-site

$148K - $184K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply DMAIC (Design, Measure, Analyze, Improve, and Control) problem solving methodologies. Develop ... process maps, within the MES framework. Conduct Installation Qualification, Operational ...

Medtronic

Principal Manufacturing Engineer

Danvers, MA · On-site

$148K - $184K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply DMAIC (Design, Measure, Analyze, Improve, and Control) problem solving methodologies. Develop ... process maps, within the MES framework. Conduct Installation Qualification, Operational ...

Amazon

Front-End Engineer, Amazon Robotics

Reading, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

It owns three core areas: warehouse floor management (ASM maps, layout workflows), operations ... updates, algorithm analysis tools). The long-term vision focuses on foundational autonomous ...

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Showing results 21-40

All JobsMap Analyst JobsInternship Map Analyst JobsInternship Map Analyst Jobs in Boston, MA

Internship Map Analyst information

What is the difference between Internship Map Analyst vs Data Analyst?

AspectInternship Map AnalystData Analyst
Required CredentialsTypically pursuing or recent graduate, some internships may require coursework in data or geographyBachelor's degree in data science, statistics, or related field; often requires experience or certifications
Work EnvironmentInternship setting, often part-time or temporary, in corporate or government organizationsFull-time role in various industries like finance, healthcare, or tech
Employer & Industry UsageUsed by organizations to evaluate potential talent and provide training in mapping and spatial analysisUsed across industries for data-driven decision making, reporting, and analysis

The main difference is that an Internship Map Analyst is an entry-level, temporary position focused on learning and supporting mapping projects, while a Data Analyst is a full-time professional role with more responsibilities in analyzing and interpreting data across industries.

What is an internship map analyst?

Internship Map Analysts are interns who specialize in creating, analyzing, and interpreting maps using geographic information systems (GIS) and related tools. They assist in collecting spatial data, producing visual representations, and supporting decision-making processes for various projects, such as urban planning, environmental studies, or business logistics. This role helps interns gain hands-on experience with mapping software, data analysis, and real-world applications of geography. Internship Map Analysts often work under the guidance of senior analysts, contributing to research and project development.

What does an internship map analyst do?

As an Internship Map Analyst, you can expect to work on projects involving data collection, spatial analysis, and the creation of digital maps using GIS software. Typical responsibilities include analyzing geographic data, assisting with the maintenance of spatial databases, and supporting senior analysts with map production for reports or presentations. Your work plays a crucial role in helping the team visualize and interpret spatial trends, which informs decision-making for projects in fields like urban planning, environmental management, or logistics. Collaboration with other analysts, engineers, and project managers is common, providing valuable experience in both technical and teamwork skills.

What are the key skills and qualifications needed to thrive as an internship map analyst?

To thrive as an Internship Map Analyst, you typically need strong analytical skills, geographic information systems (GIS) knowledge, and a background in geography, urban planning, or a related field. Familiarity with GIS software such as ArcGIS or QGIS, as well as data visualization and mapping tools, is commonly required. Attention to detail, effective communication, and problem-solving abilities help differentiate top candidates in this role. These skills are crucial for accurately analyzing spatial data, creating meaningful maps, and supporting decision-making processes.

What are the most commonly searched types of Map Analyst jobs in Boston, MA?

The most popular types of Map Analyst jobs in Boston, MA are:

What are popular job titles related to Internship Map Analyst jobs in Boston, MA?

For Internship Map Analyst jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Internship Map Analyst jobs in Boston, MA look for?

The top searched job categories for Internship Map Analyst jobs in Boston, MA are:

What cities near Boston, MA are hiring for Internship Map Analyst jobs?

Cities near Boston, MA with the most Internship Map Analyst job openings:

Internship Map Analyst jobs near you

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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