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Weekend Science Jobs in Maine (NOW HIRING)

Northeastern University

Data Scientist

Portland, ME · On-site

Required : • Master's degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field. • 0-2 years of industry, research, or applied project experience in ...

EnviroLogix

Associate Scientist

Portland, ME

$60K - $72K/yr

Join EnviroLogix and you'll be a part of a team that is pushing diagnostic boundaries forward in the life science laboratories, grain markets and the food supply chain. We value the diverse knowledge ...

EnviroLogix, Inc.

Associate Scientist

Portland, ME · On-site

Join EnviroLogix and you'll be a part of a team that is pushing diagnostic boundaries forward in the life science laboratories, grain markets and the food supply chain. We value the diverse knowledge ...

Northeastern University

Data Scientist

Portland, ME · On-site

The role focuses on supporting the development and delivery of AI and data science solutions, involving data analysis, feature engineering, model development, and collaboration with senior ...

Elanco

Quality Control Clinical Scientist

Winslow, ME · On-site

Quality Control Clinical Scientist (Avian/Poultry Testing) As a Quality Control Clinical Scientist ... Weekend and holiday work required; must be comfortable working in indoor/outdoor environments and ...

Compunnel

Data Scientist/ AI Engineer

Westbrook, ME · On-site

Collaborate with veterinary subject matter experts to translate domain questions into reproducible data science workflows. Develop explainable AI models to support clinical decision-making and trust ...

New

Td

Data Scientist - FCRM

Lewiston, ME · On-site

$96K - $155K/yr

Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience ...

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Weekend Science information

See Maine salary details

$27.6K

$53.4K

$88.1K

How much do weekend science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for weekend science in Maine is $53,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,200.00 and $62,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Weekend Science position, and why are they important?

To excel in a Weekend Science role, candidates typically need a strong background in biological, chemical, or physical sciences, often supported by a relevant degree or laboratory experience. Familiarity with laboratory equipment, data analysis software, and common safety protocols is essential. Strong attention to detail, communication, and problem-solving skills are important soft skills for this position. These abilities ensure safe, efficient, and accurate completion of experiments and collaboration within the team during weekend shifts.

What are the typical responsibilities and work schedules for someone in a Weekend Science position?

Weekend Science professionals are often responsible for conducting experiments, recording data, and maintaining laboratory equipment during weekend shifts. Schedules usually involve working part-time on Saturdays and Sundays, often as part of a rotating team to ensure research continuity. You may collaborate closely with weekday staff through detailed handover notes, so clear communication and documentation are important. This setup allows for extended research hours, supporting projects that require ongoing monitoring or time-sensitive work, and can be ideal for students or those seeking flexible employment in the sciences.

What is a Weekend Science?

A Weekend Science job typically involves scientific research, laboratory work, or technical support that takes place on weekends. These roles are common in industries like healthcare, research institutions, and environmental monitoring, where experiments or operations continue beyond standard work hours. Responsibilities may include conducting experiments, analyzing data, maintaining equipment, or assisting with ongoing projects. Weekend Science jobs can be ideal for students, part-time workers, or professionals looking to supplement their income while contributing to scientific advancements.

What are the most commonly searched types of Science jobs in Maine? The most popular types of Science jobs in Maine are:
Weekend Science jobs near you
Infographic showing various Weekend Science job openings in Maine as of August 2026, with employment types broken down into 10% As Needed, 74% Full Time, and 16% Part Time. Highlights an 91% In-person, 6% Hybrid, and 3% Remote job distribution, with an average salary of $53,433 per year, or $25.7 per hour.

Data Scientist

Northeastern University

Portland, ME • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Northeastern University is seeking a Data Scientist for its AI Solutions Hub at the Roux Institute in Portland, Maine. This role is designed for early-career data scientists to contribute to the development and delivery of AI and data science solutions across various industries while gaining exposure to production systems and modern AI practices.
Responsibilities:
• Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
• Train, evaluate, and compare machine learning models under supervision.
• Assist with model validation, performance monitoring, and documentation.
• Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
Qualifications:
Required:
• Master’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
• 0–2 years of industry, research, or applied project experience in data science or machine learning.
• Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
• Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
• Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
• Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
• Working knowledge of SQL and relational databases.
• Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
• Awareness of ethical AI principles including fairness, transparency, and responsible model use.
• Willingness to follow established governance, documentation, and review practices.
• Strong curiosity and motivation to learn new tools, techniques, and AI methods.
• Openness to feedback and mentorship.
• Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
• Proactive attitude and willingness to take increasing responsibility over time.
Preferred:
• Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Understanding of software development best practices such as version control (Git) and Agile workflows.
Company:
Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. Founded in 1898, the company is headquartered in Boston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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