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Associate In Science Jobs in Alabama (NOW HIRING)

In a complex and rapidly evolving pharmaceutical landscape, our work is measured by one outcome ... OR an associate's degree with 8+ years of work experience * OR a high school diploma (or equivalent ...

In a complex and rapidly evolving pharmaceutical landscape, our work is measured by one outcome ... OR an associate's degree with 8+ years of work experience * OR a high school diploma (or equivalent ...

Associate's degree in Science or equivalent post-secondary education required. Must be a graduate of an accredited diagnostic radiography program. * Licensure: A.R.R.T. registered and current State ...

Associate's degree in Science or equivalent post-secondary education required. Must be a graduate of an accredited diagnostic radiography program. * Licensure: A.R.R.T. registered and current State ...

Posting Details Position Information Posting Number SF2409P Position Title Postdoctoral Associate ... Ph.D. in Engineering, Physics, Materials Science, or a closely related field. * Demonstrated ...

RESEARCHER

Birmingham, AL · On-site

$65K/yr

General Responsibilities As a Researcher, you will play a key role in driving scientific discovery ... Associate's degree in related field and four (4) years of related experience required or High ...

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Associate In Science information

See Alabama salary details

$9

$18

$30

How much do associate in science jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for associate in science in Alabama is $18.01, according to ZipRecruiter salary data. Most workers in this role earn between $13.51 and $18.75 per hour, depending on experience, location, and employer.

What is the difference between Associate In Science vs Medical Laboratory Technician?

AspectAssociate In ScienceMedical Laboratory Technician
CredentialsTypically an associate degree in science or related fieldAssociate degree in medical laboratory technology or similar
Work EnvironmentClassroom, laboratory, research settingsHospitals, clinics, diagnostic labs
Industry UsageBroadly used across science and healthcare fieldsSpecific to medical laboratory work
Search/Comparison IntentUnderstanding educational pathways and career optionsJob roles, certifications, and responsibilities in labs

Both degrees involve science education, but an Associate In Science provides a broader academic foundation, while a Medical Laboratory Technician focuses specifically on laboratory skills for healthcare settings.

What can I do with just an Associate's in science?

An Associate in Science degree prepares graduates for entry-level positions in fields such as healthcare, laboratory work, technical support, and environmental science. It can also serve as a foundation for transferring to a bachelor's program or obtaining certifications in areas like medical assisting or laboratory technology.

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

To thrive as an Associate in Science, you need a strong grasp of foundational scientific concepts, analytical skills, and typically an Associate of Science degree from an accredited institution. Familiarity with laboratory equipment, scientific software (such as Excel or SPSS), and data analysis tools is often required. Attention to detail, problem-solving abilities, and effective teamwork are valuable soft skills in this role. These competencies ensure accurate scientific work, efficient collaboration, and readiness for further study or advancement in technical careers.

What is an Associate in Science degree?

An Associate in Science (AS) is a two-year undergraduate degree typically offered by community colleges and some universities. This degree focuses on science, technology, engineering, and mathematics (STEM) fields and provides foundational knowledge for students who wish to enter the workforce or transfer to a four-year institution to pursue a bachelor's degree. The curriculum usually includes general education courses as well as courses specific to the student's area of interest, such as biology, chemistry, or computer science.

What is the highest paid Associate's degree?

The highest paid associate's degrees are often in fields like nursing (ADN or RN), dental hygiene, and computer technology, with salaries varying based on location and experience. Nursing, in particular, tends to offer higher starting salaries and earning potential compared to other associate-level degrees.

Is an Associate's in science as useful?

An Associate in Science degree provides foundational knowledge and skills that can lead to entry-level positions in fields such as healthcare, technology, and engineering. It also serves as a stepping stone for further education, like a bachelor's degree, which can enhance job prospects and earning potential.

What types of roles and projects can an Associate in Science expect to work on within a research or laboratory setting?

As an Associate in Science working in a research or laboratory environment, you can expect to be involved in a variety of tasks, such as assisting with experiments, collecting and analyzing data, and maintaining lab equipment. You'll often collaborate closely with senior scientists and lab technicians, contributing to ongoing research projects or product development initiatives. This position offers hands-on experience with scientific methods and technology, and it can serve as a stepping stone to more specialized roles or advanced studies. The work environment is typically team-oriented and fast-paced, providing opportunities to learn new techniques and build a strong professional network.

What professions make 200,000 a year without a degree?

While most high-paying jobs typically require advanced degrees, some professions such as commercial pilots, real estate brokers, and certain sales managers can earn $200,000 or more annually through experience, commissions, or bonuses. Skilled trades like elevator installers or power plant operators may also reach high income levels with specialized training and certifications, often without a traditional college degree.
What cities in Alabama are hiring for Associate In Science jobs? Cities in Alabama with the most Associate In Science job openings:
Infographic showing various Associate In Science job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 61% Full Time, 32% Part Time, 1% Temporary, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $37,458 per year, or $18 per hour.
Associate Data Scientist - Corporate & Institutional Banking

Associate Data Scientist - Corporate & Institutional Banking

PNC Bank

Birmingham, AL • On-site

$55K - $55K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 340 frontline employees who took The Breakroom Quiz

78th of 145 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Associate Data Scientist within PNC's Corporate & Institutional Banking organization, you will be based in Pittsburgh, or Philadelphia, PA; Cleveland, OH; Birmingham, AL; Houston, TX; or Charlotte, NC.
Job Summary:
PNC is seeking an Associate Data Scientist to join the Corporate and Institutional Banking (C&IB) team. In this role, you will partner with senior data scientists, business stakeholders, and engineering teams to explore data, perform analysis, and support the development and delivery of analytical solutions to address business problems and support C&IB growth objectives. The team's work spans key business verticals including Sales, Credit and Underwriting, and Operations, providing opportunities to build foundational experience applying analytics across the full lifecycle of client engagement and operational decision-making.
The ideal candidate has strong analytical problem-solving skills, foundational experience in data analysis and machine learning, and is eager to learn how to translate business needs into scalable analytical solutions under guidance.
Key Responsibilities:
Use Python or R to explore data, perform analysis, and contribute to prototyping analytical approaches within established workflows.
Support the development, validation, and monitoring of interpretable machine learning models using sound statistical and modeling techniques.
Contributes to the delivery of analytical solutions from prototype through testing and deployment, working closely with senior team members and engineering partners.
Support communication across business, product, and engineering teams by helping gather requirements and clearly explain analytical work and results.
Assist in defining and tracking performance metrics to measure solution effectiveness.
Actively learn and adopt best practices in model development, code quality, and production deployment.
Required Experience & Skills:
1-2 years of relevant professional experience in data science, analytics, or a related field (including internships/co-ops), or equivalent academic experience.
Proficiency in Python or R.
Strong SQL skills and experience working with large datasets.
Exposure to big data tools (e.g. Spark).
Familiarity with Git or version control concepts.
Machine Learning: Foundational understanding of machine learning concepts, including feature engineering and basic model evaluation.
Generative AI: Exposure to Generative AI concepts and tools.
Exposure to delivery artifacts such as business requirements, user stories, or test cases.
Experience supporting testing or validation of analytical solutions.
Ability to design and develop dashboards to communicate, visualize, and monitor analytical results using Python or R-based frameworks (e.g. R Shiny, Dash, Flask)
Preferred Experience & Skills:
Exposure to business domains such as credit, accounting, or financial operations.
Familiarity with underwriting concepts or a willingness to learn them on the job.
Interest in working across multiple business areas
Education:
Bachelor's degree in a quantitative field (Computer Science, Data Science, Machine Learning, Mathematics, Statistics)PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Supports the team with analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
  • Participates in the data gathering, data processing and data mining of large and complex datasets.
  • Supports the team in developing algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes.
  • Assists with analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.
  • May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelors (Required)CertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $75,000.00 - $150,000.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 06/15/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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