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Data Science Associate Jobs in Oregon (NOW HIRING)

Data Governance is where people, process and technology come together to enable OHSU to leverage ... Associate's degree in computer science, a related field, or a clinical field and seven years of ...

Data Governance is where people, process and technology come together to enable OHSU to leverage ... Associate's degree in computer science, a related field, or a clinical field and seven years of ...

Data Governance is where people, process and technology come together to enable OHSU to leverage ... Associate's degree in computer science, a related field, or a clinical field and seven years of ...

OR · On-site

$114K - $137K/yr

Associate Director - Data Engineering & Platform, Real-World Data (RWD)POSITION SUMMARY Natera is ... QUALIFICATIONS * Bachelor's, Master's or PhD degree in Computer Science, Engineering ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Senior Data Analyst - Epic

Odell, OR · On-site

$88K - $111K/yr

Montefiore associates speak 60+ languages. As Montefiore has built paths to deliver lifesaving ... Bachelor's or master's degree in Health Informatics, Information Systems, Computer Science, Healt ...

AI Solutions Architect

Portland, OR · On-site

$66.75 - $88/hr

... Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into account the wide range of factors that are considered in making compensation ...

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Data Science Associate information

See Oregon salary details

$60.8K

$71.9K

$136.4K

How much do data science associate jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science associate in Oregon is $71,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $62,900.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

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 Associate jobs in Oregon? For Data Science Associate jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Oregon look for? The top searched job categories for Data Science Associate jobs in Oregon are:
Infographic showing various Data Science Associate job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $71,936 per year, or $34.6 per hour.
Associate Director, Clinical Science - Inflammation and Immunology

Associate Director, Clinical Science - Inflammation and Immunology

Arcus Biosciences

On-site, Remote

$200K - $210K/yr

Full-time

Re-posted 16 days ago


Job description

Summary

The Associate Director, Clinical Science will be a key contributor to the scientific, clinical, and operational scope of clinical development programs in both inflammation/immunology and oncology, with an emphasis on program-specific activities. The Associate Director, Clinical Science will help drive the design, planning, and implementation of study protocols for assigned investigational products and will play a key role in supporting related regulatory activities.  This role will work on cross-functional study management teams for the design, execution, and monitoring of clinical trials, as well as data interpretation and communication to both internal and external stakeholders. This individual may also help support internal process improvement initiatives within the clinical department.

Responsibilities

  • Partner with cross-functional study-level teams to help drive the conduct of our early clinical studies in inflammation, with potential to also work on oncology studies. These activities include operational feasibility, data management deliverables, preparation of meeting materials, communication plans, safety monitoring, preparation of status update reports, and study close-out activities.
  • Analyze clinical trial data, including gathering, analyzing, reviewing, interpreting, and providing preliminary assessments. Assist in communicating a clear overview of trial results to program teams.
  • Perform safety/efficacy data reviews. Will be responsible for assessing issues relating to protocol conduct and/or individual subject safety.
  • Support senior team members with medical monitoring reports, safety reviews, site interactions, and reviewing TFLs.
  • Provide organizational support for Data Monitoring Committees and other applicable data review committees, including operationalizing the charter, preparing updates and data reviews, execution of meetings and adjudications, and communication of synthesized data reports.
  • Author clinical protocol synopsis, and contribute to authoring of clinical study protocols, clinical study reports, IBs, ICFs, training documents, and other clinical and regulatory documents.
  • Interact with internal and external stakeholders (study sites, vendors, committees, etc.) in support of clinical trial objectives; responds to or triages questions for appropriate escalations.
  • Write and/or review collaborative abstracts, posters, and content for scientific meetings, conferences, and publications.
  • Support publication strategy execution including collaboration with investigators, KOLs, medical affairs and other internal/external stakeholders.
  • Present at investigator meetings and site initiation visits.
  • Conduct literature reviews as needed.
  • Line management of junior clinical scientists.

Qualifications

  • PhD degree in health science field, PharmD, MD or non-US equivalent, or other relevant advanced degree in a health science field.
  • 5+ years of experience at a pharmaceutical, CRO or biotechnology company as a clinical scientist or related role.
  • Experience in inflammation and/or immunology clinical trials required
  • Experience with data analysis and interpretation as an understanding of safety and pharmacovigilance principles required.
  • Ability to think innovatively, and tactically with an interest in clinical research and drug development.
  • Demonstrated ability to evaluate, interpret and present complex scientific data (preclinical, clinical, translational) to inform scientific hypotheses and development strategy.
  • Working knowledge of biostatistics, GCP, and regulatory requirements for clinical studies.
  • Must be willing and possess the expertise to work effectively in a fast-paced, team-based matrix environment as well as the ability to function independently as appropriate. Flexible to accommodate changes in team and project needs.
  • Ability to handle multiple projects at a time and have a strong attention to detail while understanding the higher-level strategy.
  • Excellent interpersonal, verbal, and written communication skills.
  • Ability to make independent, timely and appropriate decisions.

 This role can be based at our Hayward or Brisbane, CA location (preferred) or can be remote based. The anticipated salary range for fully qualified candidates applying for this position is $200,000 - $210,000 USD annually. This salary range is an estimate of what we reasonably expect to pay for this posted position. The actual salary may vary based on various factors including, without limitation, individual education, experience, tenure, skills and abilities, internal equity and alignment with market data. In addition to a competitive market-based salary, Arcus offers the opportunity to participate in stock programs, a performance-based bonus, and a comprehensive benefits package. Additional information about our total rewards program can be found here: https://arcusbio.com/careers. 

Must possess mobility to work in a standard office setting and use standard office equipment, including a computer; vision to read printed materials and a computer screen; and hearing and speech to communicate in person, before groups, and over the telephone. This is primarily a sedentary office classification although standing in work areas and walking between work areas may be required. Finger dexterity is needed to access, enter, and retrieve data using a computer keyboard, mouse, or calculator, and to operate standard office equipment. Positions in this classification occasionally bend, stoop, kneel, reach, push, and pull drawers open and closed to retrieve and file information. Employees must possess the ability to lift, carry, push, and pull materials and objects weighing up to 25 pounds. 

Arcus Biosciences is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Arcus is committed to the principle of equal employment opportunity for all employees and does not discriminate based on race, religion, color, sex, gender identify, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other legally protected status. EOE/AA/Vets 

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