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Computer Science Data Jobs in Portland, OR (NOW HIRING)

Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required. * Master's Degree in Technology, Analytics, or Business ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

AI and Data Science Engineer III

Portland, OR · On-site

$121K - $145K/yr

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science) * 4+ years of experience in data science, analytics, or a related field - with direct experience in ...

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Computer Science Data information

What are some common challenges faced by professionals working in computer science data roles, and how can they be addressed?

Professionals in computer science data roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and keeping up with rapidly evolving technologies. Collaboration with cross-functional teams is essential, as data professionals frequently work with engineers, analysts, and business stakeholders to interpret data and deliver actionable insights. To address these challenges, it's important to invest in continuous learning, leverage automation tools for data cleaning, and maintain clear communication channels within the team.

What is the difference between Computer Science Data vs Data Analyst?

AspectComputer Science DataData Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentSoftware development, data engineering, algorithm designData interpretation, reporting, visualization
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, marketing, healthcare
Common Search & ComparisonOften compared for data handling and programming skillsCompared for data interpretation and business insights

Computer Science Data professionals focus on developing algorithms, managing data systems, and building software solutions. Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are the key skills and qualifications needed to thrive as a Data Scientist in Computer Science, and why are they important?

To thrive as a Data Scientist in Computer Science, you need strong analytical skills, proficiency in statistics, and a solid background in programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools like Python, R, SQL, and machine learning frameworks, as well as certifications such as AWS Certified Data Analytics or Google Data Engineer, are highly valuable. Excellent problem-solving abilities, communication skills, and curiosity help you interpret data insights and explain findings to non-technical stakeholders. These skills ensure you can extract actionable insights from complex data, drive business decisions, and collaborate effectively within multidisciplinary teams.

What is computer science data?

Computer science data refers to the information that is processed, analyzed, and utilized within the field of computer science. This data can include anything from raw numbers and text to images, audio, and video, and is often used in programming, machine learning, artificial intelligence, databases, and data analysis. Understanding how to collect, store, structure, and interpret data is a fundamental skill for computer scientists and is crucial for solving real-world problems using technology.
Postdoctoral Scholar

Other

Posted 26 days ago


Oregon Health & Science University rating

8.0

Company rating: 8.0 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

150th of 537 rated colleges and universities


Job description

Department Overview

A postdoctoral researcher position is available in the Division of Informatics, Clinical Epidemiology and Translational Data Science (DICE) in the OHSU Department of Medicine. The Medical Informatics Training Grant (T15) is funded by the National Library of Medicine (NLM) and supports learning and research in biomedical informatics and data science. OHSU is one of 16 educational institutions in the United States offering an educational curriculum funded by the T15 grant. By providing a structured research experience under faculty mentorship, the program prepares postdoctoral fellows to undertake independent biomedical informatics research in the academic community or to assume leadership positions in a growing number of hospital and/or commercial efforts in biomedical informatics.

Fellows engage in a rigorous and dynamic program of study - though they survey the field broadly during their fellowship, they also focus on and complete a significant research project that is presented in both oral and written form. The core competency of graduates from the OHSU NLM training program is to use informatics theory and applications to conduct research that utilizes data, information and IT to improve individual health, health care, public health, and/or biomedical research. In addition, graduates should be able to make scientific contributions to fields related to informatics, including, but not limited to, medicine, nursing, public health, other health professions, computer science, data science, library and information science, cognitive science, and organizational and management science.

The postdoctoral fellow will be mentored by the T15 Program Director, Dr. Vishnu Mohan, or his designate.

Initial appointment is for one year; the opportunity to extend by another year will be dependent on successful renewal of the T15 grant. All postdoctoral positions are customized to the level of experience of the trainee and the programmatic work expected of them.

Function/Duties of Position

Research design and conduct

  • Under faculty mentorship, design and perform experiments in informatics areas of study

Data analysis and record keeping

  • Perform complex data analysis, normalization and interpretation on experimental/performance results generated using functional informatics and relevant techniques/protocols. 
  • Use computer software to input and manage data for future analysis. 
  • Maintain accurate and detailed records of all experimental procedures, data collection and analysis performed. 

Training and presentations

  • Maintain high level of professional expertise through familiarity with current literature.
  • Attend and present technical status reports at group meetings and seminars. 
  • Give oral presentations of research findings at scientific conferences

Grant writing and publications

  • Prepare results for publication in scientific journals and presentations at seminars.
  • Able to independently prepare and submit grant applications and assist mentors with these activities. 
Required Qualifications
  • Completed PhD, MD, DDS or equivalent doctoral degree. 
Preferred Qualifications
  • Demonstrated ability to learn new and innovative concepts in Informatics. Strong organizational and multitasking skills are critical. The successful candidate must be able to work well independently and assume responsibility for specific phases of research projects. Strong written and verbal communication skills and the ability to work well with team members are essential. Strong problem-solving skills and creative thinking are essential. Ability to work independently; willingness to serve as a positive and professional role model.  
Additional Details
  • This is a hybrid position with primary office location on OHSU campus. 
  • Applicants must be able to stand or sit for long periods of time; able to bend, reach, lift and carry up to 25 lbs; have the ability to utilize computer equipment, multi-line phones, pagers, intercom system, and office equipment.
Why apply to OHSU?We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.eduEmployment Type: OTHER

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About Oregon Health & Science University

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Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887