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Data Science Assistant Jobs in Oregon (NOW HIRING)

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

OR · On-site

... * Assist on research development projects and data science project plans for clients and internal initiatives * Strive to support team excellence by documenting processes and evangelizing new ...

Overview LMI is seeking a Data Scientist to assist with Army data model, pipeline, and visualization development. This Data Scientist will create data models working from mock visualizations and raw ...

Overview LMI is seeking a Data Scientist to assist with Army data model, pipeline, and visualization development. This Data Scientist will create data models working from mock visualizations and raw ...

Support translation of scientific and analytic data needs into governance artifacts and documentation. * Assist the TPM in tracking governance-related tasks, dependencies, and deliverables.

$54.75 - $71/hr

Ensure data structures support operational analytics and performance monitoring. * Assist in ... Bachelors Degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics ...

... scientific intent. * Work with data engineers to support feature development, data preparation, and analytic dataset construction. * Assist in identifying data quality issues that may impact model ...

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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 and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

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 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

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 do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
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 Data Science Assistant jobs in Oregon? For Data Science Assistant jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Data Science Assistant jobs? Cities in Oregon with the most Data Science Assistant job openings:
Infographic showing various Data Science Assistant job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Assistant/Associate Professor (Computational Biology/Data Science)

Assistant/Associate Professor (Computational Biology/Data Science)

Louisiana State University

On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Assistant/Associate Professor (Computational Biology/Data Science)Position Type:FacultyDepartment:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100))Work Location:A0414 Life Sciences AnnexPay Grade:AcademicJob Description:

Work Location: LSU Campus, Baton Rouge, Louisiana

Position Description: This is a full-time 12-month, tenure-track position with 80% research and 20% teaching appointment focused on computational biology/data science in the Department of Plant Pathology and Crop Physiology. This hire comes at a time when LSU AgCenter and LSU A&M are focusing on strengthening research in data science and precision agriculture and there are many opportunities for collaboration across the university, including the College of Agriculture, College of Science, and the LSU AgCenter's research stations. The position is open to all areas of biology, but the successful candidate is expected to build a research program around hypothesis-driven research that leverages data science to address problems at the intersection of plant pathology and large-scale data analysis. Desirable candidates are those who can actively develop cutting-edge data science methods in informatics, data mining, machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS), statistics, large-scale data visualization, and image analysis. Potential areas of research are broad and include evolutionary biology of plant-pathogen interactions, epidemiology, ecology, statistical modeling, computational biology, genomics, structural biology, experimental design, quantitative genetics, or high-throughput phenotyping. The appointee will teach one undergraduate/introductory course in computational biology/data science each year, develop one advanced graduate-level course in an area of expertise to be taught every other year, and serve as a major advisor and on advisory committees for Ph.D. and M.S. students. Obtaining extramural funding from federal and state agencies, commodity (state and national) research boards, and agro-industries to support the research program will be expected.

Qualification Requirements: A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics, computer science, statistics, breeding, or related field accompanied by appropriate postdoctoral experience (ABD candidates will be considered). Candidates with a strong proficiency in computer programming and big data management are preferred.

Salary and Benefits: Salary will be commensurate with qualifications and experience. The LSU AgCenter has an attractive benefits package with a wide variety of benefit options. Benefits offered include retirement, multiple medical insurance options, supplemental insurances (dental, life, long-term disability, accident, vision, long-term care, etc.), Tax Saver Flexible Benefits Plan (saves tax dollars on some child care and medical expenses), university holidays (14 per year, typically includes a week off at Christmas), generous annual (vacation) and sick leave benefits, Employee Assistance Program, and possible educational leave and tuition exemption for coursework at campuses of the LSU System. Specific benefits depend on job category, percent effort and length of employment.

Date Available: Upon completion of the interview process.

Application Deadline:March 11, 2025or until a suitable candidate is identified.

Application Procedure: Apply online at https://lsu.wd1.myworkdayjobs.com/LSU (or in Workday for internal applicants) by attaching a cover letter, current curriculum vitae, research statement, teaching statement, contact information for 3-5 references, and university transcripts. Please attach application as a single portable document format (PDF). Paper, faxed or e-mailed application materials will not be accepted. Reference letters will be requested at a later date. Questions can be directed to the chair of the search committee:

Dr. Vinson Doyle

Associate Professor

Plant Pathology and Crop Physiology

Phone: 225-578-4052

Email: vdoyle@agcenter.lsu.edu

Website: www.lsuagcenter.com

The LSU Agricultural Center is a statewide campus of the LSU System and provides equal opportunities in programs and employment. An Equal Opportunity Employer.

Additional Job Description:Competencies:NoneSpecial Instructions:Assistant/Associate Professor (Computational Biology/Data Science)Posting Date:February 25, 2025Closing Date (Open Until Filled if No Date Specified):Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - The LSU AgCenter has an attractive benefits package with a wide variety of benefit options. Benefits offered include retirement, multiple medical insurance options, supplemental insurances (dental, life, long-term disability, accident, vision, long-term care, etc.), Tax Saver Flexible Benefits Plan (saves tax dollars on some childcare and medical expenses), university holidays (14 per year), generous annual (vacation) and sick leave benefits, Employee Assistance Program, and possible educational leave and tuition exemption for coursework at campuses of the LSU System. Specific benefits depend on job category, percent effort and length of employment.

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):
About the LSU Agricultural Center:

The LSU AgCenter, is one of eight campuses within the broader LSU enterprise (LSU System). The LSU AgCenter includes the Louisiana Agricultural Experiment Station, which conducts agricultural-based research, and the Louisiana Cooperative Extension Service, which extends the knowledge derived from research to the people of the state. The AgCenter is headquartered in Baton Rouge and has 12 "on campus" academic departments and five regions which are made up of 15 branch research stations and an extension office in each parish. For more information, visit the AgCenter's website at www.lsuagcenter.com.

The LSU Agricultural Center is an Equal Opportunity Employer and SAME Agency:

The LSUAgriculturalCenteris a statewide campus of the LSU System and provides equal opportunities in programs and employment. TheAgCenter is committed to fostering an environment of inclusion, respect, and appreciation of differences in individuals. TheAgCenter is also designated as aState As a Model Employer (SAME)agency and provides assistance to persons needing accommodations or with the accessibility of materials.

HCM Contact Information:

Questions or concerns can be directed to the LSU AgCenter Human Resources Management Office at 225-578-2258 or emailed HRMHelp@agcenter.lsu.edu.