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Entry Level Researcher Jobs in Maine (NOW HIRING)

Bartlett Tree Experts

Arborist Ground Person

ME · On-site

This is a unique entry-level opportunity to develop your career in arboriculture through hands-on ... Research Laboratories in Charlotte, NC To find out more about what life is like at Bartlett, check ...

Veterans Health Administration

Registered Nurse

Togus, ME · On-site

$38K - $228K/yr

... research training experiences to satisfy program or degree requirements or receiving VA Health ... Credit for foreign nursing education higher that associate degree/entry level requires a formal ...

Veterans Health Administration

Registered Nurse

Augusta, ME · On-site

$38K - $228K/yr

... research training experiences to satisfy program or degree requirements or receiving VA Health ... Credit for foreign nursing education higher that associate degree/entry level requires a formal ...

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All JobsResearcher JobsEntry Level Researcher JobsEntry Level Researcher Jobs in Maine

Entry Level Researcher information

See Maine salary details

$29K

$109.5K

$159.3K

How much do entry level researcher jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level researcher in Maine is $109,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $149,100.00 per year, depending on experience, location, and employer.

What does an entry level researcher do?

An Entry Level Researcher assists with collecting, analyzing, and interpreting data under the supervision of senior researchers. They may conduct literature reviews, help design experiments or surveys, and organize research materials. Their role is essential in supporting the research process, ensuring accurate data collection, and contributing to reports or publications. This position is often a starting point for those interested in a research career in academic, corporate, or governmental settings.

What types of projects do entry level researchers typically work on, and how are their responsibilities structured within a research team?

Entry level researchers often assist with data collection, literature reviews, and preliminary data analysis under the guidance of senior team members. They are usually assigned specific tasks within larger projects, such as conducting experiments, managing databases, or preparing reports. Collaboration is key, as entry level researchers frequently work alongside experienced researchers and support staff, allowing them to learn industry best practices and gradually take on more complex responsibilities. This structure provides excellent opportunities for mentorship and skill development within a collaborative team environment.

What are the key skills and qualifications needed to thrive as an entry level researcher, and why are they important?

To thrive as an Entry Level Researcher, you need strong analytical thinking, attention to detail, and a relevant bachelor's degree in a field like science, social science, or humanities. Familiarity with data analysis tools such as Excel, SPSS, or qualitative coding software, as well as experience with literature review databases, is typically required. Effective communication, curiosity, and problem-solving skills help you stand out by enabling clear reporting and creative investigation. These skills are crucial for delivering accurate, insightful research findings that support organizational goals and further knowledge in your field.

What is the difference between Entry Level Researcher vs Research Assistant?

AspectEntry Level ResearcherResearch Assistant
Required CredentialsBachelor's degree often in related fieldBachelor's degree or ongoing education in similar field
Work EnvironmentIndependent or team-based research projects, labs, or fieldworkSupporting research activities, data collection, lab work
Employer & Industry UsageUniversities, research institutes, private companiesUniversities, labs, government agencies
Common Search & ComparisonEntry Level Researcher vs Research Assistant

The main difference between an Entry Level Researcher and a Research Assistant lies in their roles and responsibilities. Entry Level Researchers often work independently on specific projects, requiring a bachelor's degree and some research experience. Research Assistants typically support senior researchers by handling data collection and lab tasks. Both roles are common in academic and research settings, but the Entry Level Researcher position may involve more independent work and project management.

What jobs can I do if I like research?

Entry level researchers can pursue roles such as research assistant, data analyst, or market researcher, which involve collecting and analyzing data, often requiring skills in Excel, statistical software, or research methodologies. These positions are common in academia, government, and private sectors and may require strong attention to detail and good communication skills.
More about Entry Level Researcher jobs

What are the most commonly searched types of Researcher jobs in Maine?

The most popular types of Researcher jobs in Maine are:

What are popular job titles related to Entry Level Researcher jobs in Maine?

For Entry Level Researcher jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Entry Level Researcher jobs in Maine look for?

The top searched job categories for Entry Level Researcher jobs in Maine are:

Entry Level Researcher jobs near you
Infographic showing various Entry Level Researcher job openings in Maine as of August 2026, with employment types broken down into 79% Full Time, 12% Temporary, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $109,505 per year, or $52.6 per hour.

Jr. Data Scientist 00021

West Coast Consulting LLC

Westbrook, ME • On-site

Other

Medical, Life

Re-posted 13 days ago

Job description

Job Description
Hybrid -Westbrook, ME
Job Description:
The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution. We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning.
What you can expect:
Develop classification and clustering models on tabular data to support hematology analyzer capabilities
Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist
Partner with senior team members to understand requirements, explore data, and validate model performance
Document your work clearly so it can be reviewed, reproduced, and built upon by the team
Deploy your solutions to edge hardware
What you need to succeed:
0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count)
Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy)
Solid foundation in statistics, machine learning, and algorithms
Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results
Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model
A growth mindset and willingness to learn from more senior team members
Ability to communicate analyses and results clearly to your immediate team
Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus
Nice to have:
Exposure to deploying ML models on resource-constrained or edge hardware
Familiarity with model optimization techniques (quantization, ONNX, TFLite)
Experience with version control (Git) and collaborative software development practices
Experience modeling data for medical, diagnostic or life sciences applications

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