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Bioinformatics Phd Jobs in Oregon (NOW HIRING)

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 ...

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 ...

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 ...

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Bioinformatics Phd information

See Oregon salary details

$62.9K

$99.9K

$158.1K

How much do bioinformatics phd jobs pay per year?

As of Jul 30, 2026, the average yearly pay for bioinformatics phd in Oregon is $99,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,400.00 and $136,900.00 per year, depending on experience, location, and employer.

What can I do with a bioinformatics PhD?

A bioinformatics PhD prepares individuals for research and development roles in academia, biotech, and pharmaceutical industries, focusing on analyzing biological data using computational tools and programming languages like Python or R. Graduates often work as bioinformatics scientists, data analysts, or computational biologists, contributing to genomics, personalized medicine, and drug discovery projects. Advanced knowledge of algorithms, statistical methods, and biological databases is essential for these positions.

What are typical projects or responsibilities for someone in a Bioinformatics PhD role?

In a Bioinformatics PhD role, you may be tasked with designing and implementing computational analyses to interpret large-scale genomic or proteomic data, developing new algorithms or pipelines, and contributing to manuscripts or research publications. Collaboration with experimental biologists, clinicians, and fellow data scientists is common, requiring you to translate complex biological questions into computational approaches and communicate results effectively. On a daily basis, you might analyze sequencing data, troubleshoot code, manage data workflows, and help mentor junior researchers or students. These responsibilities offer dynamic opportunities to make a significant impact in advancing biological research and medical innovation.

Is bioinformatics a high paying job?

Bioinformatics PhDs often earn competitive salaries, especially in biotech, pharmaceutical, and research sectors, with median salaries typically higher than many other science roles. Salary levels depend on experience, location, and industry, with advanced skills in programming, data analysis, and biological sciences increasing earning potential.

Is AI going to replace bioinformatics?

Bioinformatics PhDs utilize AI and machine learning tools to analyze biological data, but AI is designed to augment rather than replace human expertise. Professionals in this field interpret complex data, develop algorithms, and validate results, making their role essential despite advances in AI technology.

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

A successful Bioinformatics PhD possesses advanced knowledge in computational biology, statistics, genomics, and a doctoral degree in bioinformatics or a closely related field. Familiarity with programming languages such as Python or R, experience with bioinformatics databases, and use of tools like BLAST, Galaxy, or Bioconductor are commonly expected. Strong analytical thinking, effective communication, and collaborative skills are highly valued in this field. These skills enable bioinformatics professionals to analyze complex biological data, work efficiently within multidisciplinary teams, and drive meaningful scientific discoveries.

What is a Bioinformatics PhD job?

A Bioinformatics PhD job involves conducting research and developing computational tools to analyze biological data, such as genomics, proteomics, and clinical datasets. Professionals in this role work at the intersection of biology, computer science, and mathematics to derive meaningful insights from complex biological information. They may work in academia, pharmaceutical companies, biotechnology firms, or healthcare institutions, contributing to advancements in medicine, drug discovery, and personalized healthcare. Essential skills include programming, statistical analysis, machine learning, and a deep understanding of molecular biology.

Is it worth getting a PhD in bioinformatics?

A PhD in bioinformatics prepares individuals for research, data analysis, and development of computational tools in the field, often leading to academic, industry, or healthcare roles. It provides advanced skills in programming, statistics, and biology, but requires significant time and effort with variable job prospects depending on the sector and experience level.
What are popular job titles related to Bioinformatics Phd jobs in Oregon? For Bioinformatics Phd jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Bioinformatics Phd jobs? Cities in Oregon with the most Bioinformatics Phd job openings:
Infographic showing various Bioinformatics Phd job openings in Oregon as of July 2026, with employment types broken down into 83% Full Time, 9% Part Time, 2% Temporary, and 6% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $99,886 per year, or $48 per hour.

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Re-posted 5 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

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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Employment Type: OTHER

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