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Science Jobs in Portland, ME (NOW HIRING)

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 ...

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 ...

Data Scientist - FCRM

Portland, 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 ...

Showing results 21-40

Science information

See Portland, ME salary details

$25.1K

$49.5K

$80.8K

How much do science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for science in Portland, ME is $49,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,400.00 and $53,200.00 per year, depending on experience, location, and employer.

What is the difference between Science vs Laboratory Technician?

AspectScienceLaboratory Technician
Required CredentialsBachelor's degree in science or related fieldAssociate's degree or certification in laboratory technology
Work EnvironmentResearch labs, universities, industry research centersClinical, industrial, or research laboratories
Employer & Industry UsageAcademic, research institutions, private companiesHospitals, diagnostic labs, manufacturing plants
Common Search & ComparisonFocuses on research, analysis, and scientific discoveryFocuses on conducting tests, preparing samples, and supporting research

Science professionals typically engage in research, experimentation, and analysis within labs or academic settings, often requiring advanced degrees. Laboratory Technicians support these efforts by performing tests, preparing samples, and maintaining lab equipment, usually with technical certifications. Both roles are essential in scientific and industrial environments, but their responsibilities and educational requirements differ significantly.

What are some careers in science?

Careers in science include roles such as research scientist, laboratory technician, environmental scientist, biologist, chemist, physicist, and data analyst. These positions often require strong analytical skills, knowledge of scientific methods, and proficiency with specialized tools or laboratory equipment.

What are science jobs?

Science jobs encompass a wide range of careers that involve researching, analyzing, and applying scientific principles to solve problems and advance knowledge. These roles can be found in various fields such as biology, chemistry, physics, environmental science, and more. Science professionals may work in laboratories, research institutions, academia, industry, or government agencies, often focusing on experimentation, data analysis, and innovation. Their work contributes to technological advancements, public health, environmental protection, and education.

What are some common challenges faced by professionals working in scientific research roles?

Professionals in scientific research often encounter challenges such as securing funding for projects, managing tight deadlines for experiments, and adapting to rapidly evolving technologies. Collaboration across multidisciplinary teams is frequent, requiring clear communication and strong project management skills. Additionally, interpreting complex data and publishing results in reputable journals can be demanding but are essential for career progression in the field.

What science careers are in demand?

As technology continues to advance, the demand for science professionals continues to increase. One of the science careers in highest demand is a research technician. A research technician’s duties are to set up, operate, and maintain lab equipment. Another in-demand job is that of a senior researcher. A senior researcher’s responsibilities are to work in a lab and conduct experiments. Other science jobs with significant demand include that of clinical project manager, chief scientific officer, and biotechnology specialist. Chemists, engineers, physicists, geologists, and technical writers are all science jobs currently in high demand.

What are the key skills and qualifications needed to thrive as a scientist, and why are they important?

To thrive as a Scientist, you need a strong background in scientific methodology, data analysis, and subject-specific knowledge, typically supported by at least a bachelor's or master's degree in a science field. Familiarity with laboratory equipment, statistical software, and data management systems is often required, along with relevant certifications depending on specialization. Critical thinking, problem-solving, and effective communication are essential soft skills for designing experiments and sharing findings. These skills ensure accurate research, meaningful discoveries, and clear dissemination of scientific knowledge.
What are the most commonly searched types of Science jobs in Portland, ME? The most popular types of Science jobs in Portland, ME are:
What job categories do people searching Science jobs in Portland, ME look for? The top searched job categories for Science jobs in Portland, ME are:
What cities near Portland, ME are hiring for Science jobs? Cities near Portland, ME with the most Science job openings:
Infographic showing various Science job openings in Portland, ME as of August 2026, with employment types broken down into 3% As Needed, 79% Full Time, 13% Part Time, and 5% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $49,509 per year, or $23.8 per hour.

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Northeastern University is seeking a Data Scientist for a full-time, one-year term appointment at their Roux Institute in Portland, Maine. 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 professionals in the field.
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.
• 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.
Qualifications:
Required:
• Master’s degree (required) or Ph.D. (optional) 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.
• Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
• 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:
• Industry experience is 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.