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Remote Genomics Data Scientist Jobs in Oregon (NOW HIRING)

SOSi

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

BECU

Data Scientist

OR · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

YipitData

Data Scientist, Corporate

OR · On-site +1

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ... As Our Corporate Data Scientist, You Will: * Statistical Modeling & Distribution Optimization:

YipitData (Alternative)

Data Scientist, Corporate

OR · On-site +1

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ... As Our Corporate Data Scientist, You Will: * Statistical Modeling & Distribution Optimization:

SOSi

Senior Data Scientist

OR · On-site +1

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Lumen Technologies

Senior Data Scientist

OR · Remote

$84K - $112K/yr

The organization is seeking a Senior Data Scientist who is energized by the opportunity to turn ... Bonus Structure #LI-Remote Requisition #: 342510 Life at Lumen Life at Lumen is human and connected ...

Corvel

Data Scientist II

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136,961 annually Data Scientist II: $121,673 - $167,301 annually This pay range is for the position ...

Honor

Staff Data Scientist

Portland, OR · Remote

About the role: We're looking for Data Scientists to join our team. In this role, you will serve as ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

10x Genomics

Head of Data and Insights Business

OR · On-site +1

This role is based at our headquarters in Pleasanton, CA, but we are open to remote or hybrid work ... Connections with leaders within the AI/ML, life sciences, pharma, or clinical sectors that would ...

Deloitte

Epic Research & Genomics Analyst

Portland, OR · On-site +1

Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ...

Kemper

Director, Data Science Operations

OR · Remote

$160K - $226K/yr

Location(s) Chicago, Illinois, Chicago, Illinois, Remote-AK, Remote-AL, Remote-AR, Remote-AZ ... Lead analytics/data science ETL projects. Lead team. Evaluate organization's tech. needs, create ...

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Remote Genomics Data Scientist information

How does a Remote Genomics Data Scientist typically collaborate with cross-functional research teams?

As a Remote Genomics Data Scientist, collaboration often happens through virtual meetings, shared code repositories, and cloud-based data platforms. You'll regularly interact with bioinformaticians, laboratory scientists, and clinicians to define research questions, interpret genomic data, and ensure data analysis aligns with study goals. Effective communication is key, as you'll translate complex results for non-technical stakeholders and coordinate project timelines across different locations and time zones.

What are the key skills and qualifications needed to thrive as a Remote Genomics Data Scientist, and why are they important?

To thrive as a Remote Genomics Data Scientist, you need a strong background in bioinformatics, statistics, and genomics, typically supported by an advanced degree in a relevant field. Proficiency with programming languages such as Python or R, experience with genomic data analysis tools (e.g., GATK, Bioconductor), and cloud-based data platforms are essential. Excellent problem-solving, communication, and collaboration skills help you interpret complex data and work effectively with interdisciplinary teams. These skills ensure accurate analysis, meaningful insights, and successful remote collaboration on cutting-edge genomics projects.

What is the difference between Remote Genomics Data Scientist vs Remote Bioinformatics Analyst?

AspectRemote Genomics Data ScientistRemote Bioinformatics Analyst
Required CredentialsMaster's or PhD in Genetics, Bioinformatics, or related field; experience with genomics data analysisBachelor's or Master's in Bioinformatics, Biology, or related; familiarity with bioinformatics tools
Work EnvironmentResearch labs, biotech companies, or healthcare organizations focusing on genomicsResearch institutions, healthcare, or biotech firms analyzing biological data
Industry UsagePrimarily in genomics research, personalized medicine, and biotechIn bioinformatics projects across healthcare, agriculture, and research

Remote Genomics Data Scientists focus on analyzing genomic data to uncover biological insights, often requiring advanced degrees and specialized skills. Remote Bioinformatics Analysts handle biological data analysis but may have a broader scope, including various biological datasets. Both roles are vital in biotech and healthcare industries, but the Genomics Data Scientist typically emphasizes genomic-specific expertise.

What is a Remote Genomics Data Scientist?

A Remote Genomics Data Scientist is a professional who analyzes and interprets large-scale genetic data, such as DNA sequencing, using computational and statistical methods, while working from a remote location. Their work often involves using bioinformatics tools and machine learning to identify patterns and insights in genomic datasets. This role supports research in healthcare, pharmaceuticals, and biotechnology, helping to advance personalized medicine and disease understanding. Remote Genomics Data Scientists collaborate with multidisciplinary teams and often communicate findings through reports and visualizations.
What are the most commonly searched types of Genomics Data Scientist jobs in Oregon? The most popular types of Genomics Data Scientist jobs in Oregon are:
What are popular job titles related to Remote Genomics Data Scientist jobs in Oregon? For Remote Genomics Data Scientist jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Genomics Data Scientist jobs in Oregon look for? The top searched job categories for Remote Genomics Data Scientist jobs in Oregon are:
Remote Genomics Data Scientist jobs near you
Infographic showing various Remote Genomics Data Scientist job openings in Oregon as of July 2026, with employment types broken down into 5% Internship, 90% Full Time, and 5% Part Time. Highlights an 100% Remote job distribution.
Data Scientist

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Posted 10 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling.
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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