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Remote Healthcare Data Science Jobs in Portland, OR

PeaceHealth

Manager Healthcare Compliance

Vancouver, WA · Remote

$48.52 - $72.78/hr

Description PeaceHealth is seeking a Remote (must reside in OR, WA or AK) Manager Healthcare ... Strong presentation, data analysis, and report creation skills including the ability to report out ...

Varsity Tutors

ACT Science Tutor

Portland, OR · Remote

$18 - $40/hr

... take care of payments. What We Look For In a ACT Science Tutor * Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables, diagrams), research summaries ...

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All JobsHealthcare Data Science JobsRemote Healthcare Data Science JobsRemote Healthcare Data Science Jobs in Portland, OR

Remote Healthcare Data Science information

What is the difference between Remote Healthcare Data Science vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Data ScienceRemote Healthcare Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills; knowledge of healthcare dataDegree in Data Analysis, Statistics, or related; proficiency in data tools; understanding of healthcare data
Work EnvironmentFocus on developing models, algorithms, and predictive analytics in healthcareFocus on interpreting data, generating reports, and supporting decision-making
Employer & Industry UsageUsed by healthcare tech companies, hospitals, research institutionsUsed by healthcare providers, insurance companies, consulting firms

Remote Healthcare Data Science involves building advanced models and algorithms to analyze healthcare data, requiring strong programming and statistical skills. In contrast, Remote Healthcare Data Analysts focus on interpreting data, creating reports, and supporting healthcare decision-making. Both roles are vital in healthcare analytics but differ in technical complexity and responsibilities.

What are some common challenges faced by remote healthcare data scientists, and how can they be addressed?

Remote healthcare data scientists often encounter challenges related to data privacy regulations, fragmented data sources, and effective collaboration with clinical teams. Navigating strict patient confidentiality laws such as HIPAA requires meticulous handling of sensitive information, often necessitating secure remote access solutions. Additionally, integrating data from various electronic health record systems can be complex. To address these challenges, it's important to proactively communicate with IT and compliance teams, use secure data transfer tools, and participate in regular virtual meetings with cross-functional healthcare professionals to ensure alignment and data integrity.

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

To thrive as a Remote Healthcare Data Scientist, you need a strong background in statistics, machine learning, and healthcare analytics, typically supported by a degree in data science, statistics, computer science, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and experience with healthcare data systems such as EHRs or HIPAA-compliant databases are crucial. Strong problem-solving abilities, effective communication, and the capability to work independently are essential soft skills for this remote role. These skills enable professionals to extract actionable insights from complex healthcare data, ensuring data-driven decision-making and improved patient outcomes.

What is a remote healthcare data scientist?

A Remote Healthcare Data Scientist is a professional who analyzes health-related data to extract insights and improve patient outcomes, all while working from a location outside of traditional healthcare settings such as hospitals or clinics. They use statistical analysis, machine learning, and data visualization to interpret large datasets from electronic health records, clinical trials, and other health sources. Remote Healthcare Data Scientists collaborate with healthcare professionals and IT teams to develop predictive models, support research, and enhance decision-making processes, often using secure telecommunication and cloud-based tools. Their work can inform policy, improve care delivery, and support public health initiatives.
What are the most commonly searched types of Healthcare Data Science jobs in Portland, OR? The most popular types of Healthcare Data Science jobs in Portland, OR are:
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What job categories do people searching Remote Healthcare Data Science jobs in Portland, OR look for? The top searched job categories for Remote Healthcare Data Science jobs in Portland, OR are:
What cities near Portland, OR are hiring for Remote Healthcare Data Science jobs? Cities near Portland, OR with the most Remote Healthcare Data Science job openings:
Remote Healthcare Data Science jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Hillsboro, OR • Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply