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Data Science Associate Jobs in Oregon (NOW HIRING)

POSITION SUMMARY: We are seeking an Associate Director, Clinical Science to architect trial ... This clinical leadership role shapes the data validation pipeline for our cell-free DNA (cfDNA ...

As an Associate Product Manager on this team, you'll execute product strategy across Consumer Apps ... You'll collaborate closely with Product, Engineering, Data Science, CRM, and UX/Design to test ...

As an Associate Product Manager on this team, you'll execute product strategy across Consumer Apps ... You'll collaborate closely with Product, Engineering, Data Science, CRM, and UX/Design to test ...

OR · On-site

$114K - $137K/yr

You will collaborate closely with data scientists, analytics engineers, and cross-functional ... Databricks certifications - Associate/Professional * AWS Certified Solutions Architect - Associate ...

Communications Associate

Eugene, OR · On-site

$22.84 - $34.70/hr

CAS School of Computer & Data Sciences Classification: Public Info Representative 1 Appointment ... The Associate creates, identifies, writes, edits, and publishes content to promote public awareness ...

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Communications Associate

Eugene, OR · On-site

$22.84 - $34.70/hr

CAS School of Computer & Data Sciences Classification: Public Info Representative 1 Appointment ... The Associate creates, identifies, writes, edits, and publishes content to promote public awareness ...

Senior Data Architect

Odell, OR

$69 - $92.25/hr

Montefiore associates speak 60+ languages. As Montefiore has built paths to deliver lifesaving ... Collaborate with Data Scientists and ML Engineers to operationalize AI models at scale. Help ensure ...

Ability to troubleshoot data science workloads * Actively participate within the Cloudera community ... Mentor associates, participate in creation and maintenance of enablement materials across the team

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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 Jun 18, 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?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

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 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 is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

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

Associate Director, Clinical Science

Natera

OR

Other

Posted 13 days ago


Natera rating

7.7

Company rating: 7.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

48th of 103 rated laboratories


Job description

POSITION SUMMARY:

We are seeking an Associate Director, Clinical Science to architect trial strategies and protocol execution for our oncology biobanking studies and specimen repositories. This clinical leadership role shapes the data validation pipeline for our cell-free DNA (cfDNA) technology, transforming population-scale genomic profiles into standard-of-care screening benchmarks. Reporting directly to Neda Huseinovic, Senior Director of Clinical Science, you will lead the strategic alignment and tactical delivery of complex biobanking clinical protocols. Operating with an active builder mindset, this position co-develops clinical program strategy and drives collaborative execution across clinical operations, biostatistics, and translational data science teams, directly managing the clinical scientists embedded within the biobanking workstream.

PRIMARY RESPONSIBILITIES:

Trial Strategy and Protocol Architecture

  • Design robust clinical study concepts, specifying overall design parameters, sample-size logic, schedules of assessments, trial objectives, clinical endpoints, and patient eligibility criteria
  • Lead clinical development activities and protocol design for oncology biobanking studies and biospecimen repository portfolios
  • Collaborate cross-functionally to author clinical study protocols, informed consent documents (ICFs), and technical amendments for internal governance review
  • Deliver technical protocol validation training to internal teams and contract research organizations (CROs), and guide case report form (CRF) layout configurations
  • Ensure study manuals conform directly to protocol specifications and engage primary clinical investigators during initial trial design phases

Data Interrogation and Cross-Functional Alignment

  • Synthesize protocol requirements from investigators, clinical partners, and regulatory bodies, resolving conflicting operational priorities by anchoring team alignment strictly in data
  • Partner across cross-functional technical teams to execute clinical programs within exact scope, regulatory compliance, budget, and timeline boundaries
  • Serve as the authoritative clinical science representative across technical milestones and external clinical collaborations
  • Lead the development of trial execution timelines and deliver unvarnished study status updates to senior leadership
  • Lead rigorous clinical data review loops to interrogate biospecimen and clinical datasets, anchoring trial data cleanliness directly in empirical scientific evidence
  • Collaborate with data management teams to write Data Review Plans, track trial outliers, and audit CRF schemas to confirm absolute data fidelity

Scientific Stakeholder Management

  • Formulate structured advisory boards, steering committees, and investigator meetings, including the production and delivery of technical evidence presentations
  • Advance corporate clinical research pipelines by evaluating both sponsored protocols and investigator-initiated study designs
  • Align with cross-functional leadership to pressure-test trial design parameters against long-term development milestones and commercial targets
  • Establish strategic relationships with key opinion leaders (KOLs), academic consortiums, and active trial enrollment sites to advance personalized oncology diagnostics
  • Partner with Medical Directors and cross-departmental project leads to translate raw trial evidence into technical data sheets, abstracts, and peer-reviewed manuscripts

People and Operations Leadership

  • Mentor and develop junior clinical science personnel, implementing process optimizations across team structures, tools, and shared resources
  • Manage direct reports supporting biobanking initiatives, taking explicit accountability for hiring, training, developing, and retaining staff talent
  • Execute structured competitive intelligence assessments to map the oncology diagnostics landscape and evaluate emerging industry methodologies
  • Maintain deep clinical competency across relevant therapeutic domains, oncology biomarkers, next-generation sequencing, and cell-free genomic testing variations
  • Manage trial portfolios in absolute compliance with HIPAA, protected health information (PHI) privacy requirements, and corporate security guidelines
  • Independently isolate trial execution bottlenecks and take full ownership to close operational gaps

QUALIFICATIONS:

  • Advanced degree in Life Sciences (PhD, MD, PharmD, MS, RN, or equivalent scientific or clinical credential) required
  • 8 or more years of clinical development experience within the pharmaceutical, biotechnology, or diagnostic industry, with a dedicated focus on oncology trials
  • Deep understanding of oncology molecular diagnostics, companion diagnostics (CDx), liquid biopsy performance metrics, minimal residual disease (MRD) validation pipelines, or biospecimen repository frameworks
  • Proven track record driving clinical data review workflows, trial data cleaning cycles, protocol development, randomized controlled trials (RCTs), and technical data reporting
  • Sound foundational knowledge of FDA regulations, In Vitro Diagnostics (IVD) standards, global health authority trial benchmarks, and Good Clinical Practice (GCP) guidelines
  • Documented experience directly managing scientific staff and building matrixed trial delivery structures

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Technical analytical skills with a proven track record of isolating trial variance and executing target-driven data solutions
  • Fast learner with the capability to master complex cfDNA platforms, bioinformatics workflows, and molecular assays rapidly
  • Precise written and verbal communication styles with strict attention to raw data detail and clinical trial parameter boundaries
  • Proven capability to drive independent portfolios while executing cross-functional objectives within matrixed study teams
  • High-growth builder mindset with the capability to balance scientific rigor, operational speed, and trial resource constraints under tight timelines
  • Utilize cloud-based productivity infrastructure to maintain high operational speed in a fast-evolving molecular diagnostics environment

Physical Demands and Work Environment

  • Modern office or home office environment with reliable, secure internet access infrastructure
  • Standard requirements for computer operation, telephone communications, and continuous review of complex scientific data files
  • Flexibility to engage with clinical collaborators and study teams across international, global time zones
  • Ability to engage in work-related international and domestic travel up to 25% to manage site performance and support conference execution

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