ZipRecruiter

Log In

1

Data Science Jobs in Remote, OR (NOW HIRING)

Bausch+Lomb Companies Inc.

Director, Clinical Development

OR · On-site

$75K - $102K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provide scientific oversight throughout study conduct, including ongoing medical/scientific data review, adjudication of major protocol deviations, and safety signal evaluation. * When serving in ...

Data Analysis Inc.

Lead IAM Engineer - Remote

OR · Remote

$125K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or related technical ... Company Description Data Analysis Inc (DAI) is the parent company of a global group of privately ...

Roseburg

Quality Technician II

Riddle, OR · On-site

$16.50 - $22/hr

Educate team members on basic descriptive statistics with relationship to data distribution * Use ... Associate degree in Forest Products, Engineering, Wood Science or related scientific field, or ...

Roseburg Forest Products

Quality Technician II

Riddle, OR · On-site

$16.50 - $22/hr

Educate team members on basic descriptive statistics with relationship to data distribution * Use ... Associate degree in Forest Products, Engineering, Wood Science or related scientific field, or ...

Dynamic Solutions Technology LLC

JIRA Engineer

OR · On-site +1

$49.50 - $64.75/hr

Assess the current Jira Data Center setup, including projects, workflows, custom fields, and user ... Bachelor's degree in information technology, Computer Science, Software Engineering or related ...

Syniti

Sr. Manager, Technical Program

OR · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking ... Master's degree in Computer Science, Engineering, Business, or related field or equivalent ...

Syniti

Sr. Manager, Technical Program

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking ... Master's degree in Computer Science, Engineering, Business, or related field or equivalent ...

Bausch+Lomb Companies Inc.

Research Fellow, Pharma Toxicology

OR · Remote

$150K - $200K/yr

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Oversee the generation, interpretation, and communication of essential nonclinical data to enable ... Author, review, and approve technical documents and scientific reports as needed to support ...

Bausch + Lomb

Research Fellow, Pharma Toxicology

OR · On-site +1

$150K - $200K/yr

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Oversee the generation, interpretation, and communication of essential nonclinical data to enable ... Author, review, and approve technical documents and scientific reports as needed to support ...

previous page

Showing results 41-60

All JobsData Science JobsData Science Jobs in Remote, OR

Data Science information

See Remote, OR salary details

$37.5K

$122.6K

$196.3K

How much do data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science in Remote, OR is $122,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,900.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Remote, OR?

The most popular types of Data Science jobs in Remote, OR are:

What are popular job titles related to Data Science jobs in Remote, OR?

For Data Science jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Remote, OR look for?

The top searched job categories for Data Science jobs in Remote, OR are:

What cities near Remote, OR are hiring for Data Science jobs?

Cities near Remote, OR with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $122,617 per year, or $59 per hour.

Briya- Business Development Representative (BDR)

Team8

OR • On-site, Remote

Full-time

Re-posted 2 days ago

Job description

Description
About Briya Health:
Briya Health is transforming how healthcare organizations and life sciences companies access and leverage data to accelerate research and improve patient outcomes. Through its advanced data network and interoperability platform, Briya enables secure, scalable access to real-world data (RWD) and supports the generation of real-world evidence (RWE) to drive innovation across clinical research and drug development.
Position Overview:
Briya Health is seeking a highly motivated Business Development Representative (BDR) to drive pipeline growth primarily across pharmaceutical and biotech organizations, with a focus on teams supporting Phase III and IV clinical trials, post-market research, and real-world evidence initiatives. This role will also interface with academic medical centers and health systems as key data partners, but the primary focus is engaging life sciences stakeholders responsible for clinical development, HEOR, and data strategy. The ideal candidate is comfortable operating in complex, data-driven environments and can engage stakeholders across clinical, research, and commercial functions.
Key Responsibilities:
  • Identify and engage target accounts across pharmaceutical and biotech companies, with emphasis on Phase III & IV clinical programs, HEOR, and RWE teams
  • Prospect into key buyer personas including clinical development, medical affairs, HEOR, real-world evidence, and data strategy leaders
  • Support engagement with academic medical centers and health systems as critical data sources and research partners
  • Develop and deliver compelling customer narratives that map Briya's capabilities to specific clinical and research challenges (e.g., trial feasibility delays, fragmented patient journeys, slow hypothesis testing)
  • Use industry-specific use cases to anchor outbound engagement (e.g., accelerating cohort design, improving patient recruitment, enabling post- market insights)
  • Execute targeted outbound strategies (calls, email, LinkedIn, conferences, and industry events) tailored to life sciences audiences
  • Work with marketing to fully understand the schedule of conferences Briya is participating at and leverage these events as key events for targeted outreach
  • Articulate Briya Health's value in enabling scalable access to real-world data (RWD) for clinical development, regulatory, and commercialization use cases
  • Qualify opportunities by understanding pharma-specific use cases such as trial feasibility, patient recruitment, post-market surveillance, and outcomes research
  • Map complex accounts and navigate multi-stakeholder environments across both life sciences and provider organizations
  • Partner with Account Executives to build account strategies and progress opportunities through early-stage pipeline
  • Maintain accurate pipeline tracking and activity reporting in CRM(HubSpot) system
  • Meet or exceed defined MBOs, including pipeline generation and qualified meeting targets.

Requirements
2-5 years of experience in a BDR/SDR or business development role within life sciences, healthcare IT, or clinical research organizations (CROs)
  • Strong understanding of the pharmaceutical and biotech landscape, including clinical development phases (with emphasis on Phase III & IV)
  • Familiarity with real-world data (RWD) and its role in supporting clinical trials and evidence generation
  • Experience engaging stakeholders within pharma/biotech organizations or CROs
  • Working knowledge of EMR/EHR systems and how clinical data is generated and leveraged for research
  • Ability to lead with customer problems and communicate concise, outcome-driven narratives
  • Comfort engaging in consultative, insight-led conversations vs. transactional outreach
  • Proven success in outbound prospecting and pipeline generation in complex sales environments
  • Excellent communication skills with the ability to translate technical/data concepts into business value
  • Highly organized, self-motivated, and comfortable navigating ambiguity What We Offer
  • Opportunity to work at the forefront of real-world data and evidence generation in life sciences
  • Collaborative, mission-driven culture focused on accelerating clinical research and improving patient outcomes
  • Significant opportunity for career growth within a rapidly scaling organization

Job responsibilities
  • Identify and engage target accounts across pharmaceutical and biotech companies, with emphasis on Phase III & IV clinical programs, HEOR, and RWE teams
  • Prospect into key buyer personas including clinical development, medical affairs, HEOR, real-world evidence, and data strategy leaders
  • Support engagement with academic medical centers and health systems as critical data sources and research partners
  • Develop and deliver compelling customer narratives that map Briya's capabilities to specific clinical and research challenges (e.g., trial feasibility delays, fragmented patient journeys, slow hypothesis testing)
  • Use industry-specific use cases to anchor outbound engagement (e.g., accelerating cohort design, improving patient recruitment, enabling post- market insights)
  • Execute targeted outbound strategies (calls, email, LinkedIn, conferences, and industry events) tailored to life sciences audiences
  • Work with marketing to fully understand the schedule of conferences Briya is participating at and leverage these events as key events for targeted outreach
  • Articulate Briya Health's value in enabling scalable access to real-world data (RWD) for clinical development, regulatory, and commercialization use cases
  • Qualify opportunities by understanding pharma-specific use cases such as trial feasibility, patient recruitment, post-market surveillance, and outcomes research
  • Map complex accounts and navigate multi-stakeholder environments across both life sciences and provider organizations
  • Partner with Account Executives to build account strategies and progress opportunities through early-stage pipeline
  • Maintain accurate pipeline tracking and activity reporting in CRM(HubSpot) system
  • Meet or exceed defined MBOs, including pipeline generation and qualified meeting targets.

Job benefits
  • Opportunity to work at the forefront of real-world data and evidence generation in life sciences
  • Collaborative, mission-driven culture focused on accelerating clinical research and improving patient outcomes
  • Significant opportunity for career growth within a rapidly scaling organization

Apply