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

Deloitte

AI Data Engineer - Manager

Portland, OR

$121K - $145K/yr

You will manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML ... Build tools and capabilities that assist with data ingestion, feature engineering, data management ...

Portland General Electric

Meteorologist

Tualatin, OR · On-site

... data scientists, project managers, engineering, operations, analysts and leadership to develop data driven solutions for weather, climate, and risk assessment models * Assist with managing PGE ...

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All JobsData Science JobsData Science Assistant JobsData Science Assistant Jobs in Portland, OR

Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

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

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data science assistants can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is not a barrier if you develop the necessary competencies and stay current with industry trends.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

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

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What is a data scientist assistant?

A data scientist assistant supports data scientists by collecting, cleaning, and analyzing data, often using tools like Python or R. They help prepare reports, build models, and may need knowledge of statistics and data visualization to contribute effectively to data projects.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret results, develop models, and make strategic decisions. Data scientists are increasingly required to work alongside AI tools, focusing on complex problem-solving, model development, and domain expertise. Continuous learning and proficiency in programming languages like Python and tools such as machine learning frameworks remain essential for the role.

Which is better, DS or CS?

For a Data Science Assistant role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes algorithms, programming, and software development. The choice depends on the specific job requirements and your career goals, but familiarity with programming languages like Python or R and understanding of data tools are essential in both fields.
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Data Science Assistant jobs near you
Postdoctoral Scholar

Postdoctoral Scholar

Oregon Health & Science University

Portland, OR

Full-time

Posted 22 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

149th 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: FULL_TIME

What Oregon Health & Science University employees say

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About Oregon Health & Science University

Sourced by ZipRecruiter

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

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