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Entry Level Data Science Jobs in Oregon (NOW HIRING)

... in life science molecular research, in applied and pharma applications, in microscopy and ... Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department.

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Home Energy Technician

Bend, OR · On-site

$27.97/hr

Dive into an entry-level role where you'll receive comprehensive on-the-job training. You'll ... Tasks include evaluating homes for energy usage and possible improvements, data entry and ...

Home Energy Technician

Bend, OR · On-site

$27.97/hr

Dive into an entry-level role where you'll receive comprehensive on-the-job training. You'll ... Tasks include evaluating homes for energy usage and possible improvements, data entry and ...

Pharmaceutical Field Sales Representative

Portland, OR · On-site

$21.25 - $29.25/hr

This is an excellent entry-level role in the healthcare and pharmaceutical industries. The team ... with data, science, and technology to deliver bespoke engagement solutions that help clients ...

We are seeking an entry-level, analytically-oriented Associate Project Manager to join our team ... Assisting with creating the UAT plan, developing test scripts, coordinating data setup, and ...

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Entry Level Data Science information

See Oregon salary details

$11

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How much do entry level data science jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for entry level data science in Oregon is $20.14, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $22.60 per hour, depending on experience, location, and employer.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
What are the most commonly searched types of Data Science jobs in Oregon? The most popular types of Data Science jobs in Oregon are:
What are popular job titles related to Entry Level Data Science jobs in Oregon? For Entry Level Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Oregon look for? The top searched job categories for Entry Level Data Science jobs in Oregon are:
What cities in Oregon are hiring for Entry Level Data Science jobs? Cities in Oregon with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Oregon as of June 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $41,900 per year, or $20.1 per hour.
Title Scientist, Bioinformatics

Other

Medical, Dental, Life, Retirement, PTO

Posted 10 days ago


Bruker rating

7.4

Company rating: 7.4 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

Scientist, Bioinformatics
Job Locations US-Remote | US-MO-St. Louis
Posted Date 4 weeks ago(5/26/2026 3:43 PM)
Req. # 2026-19291
Job Location : Location US-Remote
Job Post Information* : External Company Name Bruker
Job Post Information* : External Company URL https://www.bruker.com/
Additional Job Locations US-MO-St. Louis
Type Employee
Full Time/Part Time Full Time
Telecommute Yes
Overview

Bruker is enabling scientists to make breakthrough discoveries and develop new applications that improve the quality of human life. Bruker's high-performance scientific instruments and high-value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular, and microscopic levels. In close cooperation with our customers, Bruker is enabling innovation, improved productivity and customer success in life science molecular research, in applied and pharma applications, in microscopy and nanoanalysis, and in industrial applications, as well as in cell biology, preclinical imaging, clinical phenomics and proteomics research and clinical microbiology.


Today, worldwide more than 11000 employees are working on this permanent challenge at over 90 locations on all continents. Bruker continues to build upon its extensive range of products and solutions, its broad base of installed systems and a strong reputation among its customers. Being one of the world's leading analytical instrumentation companies, Bruker is strongly committed to further fully meeting its customers' needs as well as continuing to develop state-of-the-art technologies and innovative solutions for today's analytical questions.

Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group in St. Louis, Missouri. We are committed to providing cutting-edge Spatial Biology products and services to the academic, biotech and biopharma sectors. Our team of dedicated scientists is passionate about Spatial Biology and recognizes its potential to transform our understanding and eventual diagnosis of disease. We offer competitive salaries, comprehensive benefits, and a collaborative and stimulating research environment.

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department. The successful candidate will work with their Bioinformatic team leader to establish Bioinformatic data analysis solutions for our CellScapeTM platform. The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid background in bioinformatics, image analysis and will already understand Spatial Biology. Experience in microscopy and/or histology is desirable but not a precondition.

In your role as a Bioinformatician, you will be given responsibility and ownership of your analysis projects. You will work on assignments that are complex in nature and require considerable judgment and initiative to solve problems. You will have room to maneuver and to execute your responsibilities creatively and effectively. Throughout your tenure you will be tasked with diverse projects, and you will need to be agile and flexible as you maneuver the complexities of each new problem. You will be expected to work reliably and to take on responsibility for the timely delivery of results. At any time, you should be ready to pivot as directives and roadmaps are aligned with a dynamic customer base.

This role reports to our Senior Bioinformatician and does not include management of direct reports. This role does not have wetlab responsibilities.

Responsibilities

Responsibilities may include, but are not limited to:

Design, build, and maintain bioinformatics tools, libraries, and databases analyzing Spatial Proteomics / mIF data.
Analyze and interpret large, complex biological datasets - including spatial proteomics and single-cell data - to support discovery of new drugs, therapies, and biologically meaningful patterns.
Evaluate, test, and improve existing internal software solutions, and partner with software teams during active development cycles.
Work cross-functionally with wetlab and software teams to critically evaluate data from multiplex biomarker assays and translate scientific needs into analysis solutions.
Communicate findings to scientists, researchers, and stakeholders through clear written reports and presentations.
Challenge the status quo by engaging in constructive critique of established practices and proposing better alternatives.
Deliver projects and milestones on time, keeping leadership informed through routine progress updates.
May participate in travel to conferences and tradeshows.

Qualifications

Requires a PhD with extensive bioinformatic analysis background
Strong fluency in Python (required); working knowledge of R, MATLAB, or comparable scientific computing environments is a plus.
Industry experience is not required
Demonstrated ability to design and write clean, reusable functions, modules, and analysis pipelines - not just notebook-style scripting.
Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and deployment), particularly applied to imaging or single-cell data.
Ability to communicate, educate and engage wet lab scientists
Excellent collaboration and interpersonal skills

At Bruker, base salary is part of our total compensation. The estimated base salary range for this full-time position is between $86,500 and $153,500 provides an opportunity to progress as you grow and develop within a role. The base salary for the role will depend on several job-related factors, including, but not limited to education, training, experience, the geographic location of the successful candidate, skills, competencies, job-related knowledge and travel requirements for this position. Full-time employees may also be eligible for a performance-related incentive in addition to a full range of benefits including 401(k) with company match, an employee stock purchase plan, medical and dental plans, life insurance, short-term and long-term disability insurance, employee assistance program and paid time off including vacation, sick time and holidays, and more.

Bruker is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and

other legally protected characteristics.

Certain positions at Bruker require compliance with export control laws and as a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions.

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