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Remote Chemistry Data Science Jobs in Oregon (NOW HIRING)

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

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 ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

IB Chemistry Tutor

OR · Remote

$18 - $40/hr

Guides students through stoichiometric calculations, equilibrium constant problems, organic reaction mechanisms, and data booklet navigation. Emphasizes connecting chemistry to the Nature of Science ...

... sciences research careers. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... data analysis. Guides students through solving heat capacity problems, applying Boltzmann ...

IB Chemistry Tutor

Eugene, OR · Remote

$18 - $40/hr

Guides students through stoichiometric calculations, equilibrium constant problems, organic reaction mechanisms, and data booklet navigation. Emphasizes connecting chemistry to the Nature of Science ...

IB Chemistry Tutor

Portland, OR · Remote

$18 - $40/hr

Guides students through stoichiometric calculations, equilibrium constant problems, organic reaction mechanisms, and data booklet navigation. Emphasizes connecting chemistry to the Nature of Science ...

... sciences research careers. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... data analysis. Guides students through solving heat capacity problems, applying Boltzmann ...

Physical Chemistry Tutor

OR · Remote

$18 - $40/hr

... sciences research careers. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... data analysis. Guides students through solving heat capacity problems, applying Boltzmann ...

AP Chemistry Tutor

OR · Remote

$18 - $40/hr

... data analysis. Emphasizes particulate-level reasoning and mathematical problem-solving, connecting chemistry to pharmaceutical development, environmental science, and materials engineering.

AP Chemistry Tutor

Eugene, OR · Remote

$18 - $40/hr

... data analysis. Emphasizes particulate-level reasoning and mathematical problem-solving, connecting chemistry to pharmaceutical development, environmental science, and materials engineering.

AP Chemistry Tutor

Portland, OR · Remote

$18 - $40/hr

... data analysis. Emphasizes particulate-level reasoning and mathematical problem-solving, connecting chemistry to pharmaceutical development, environmental science, and materials engineering.

... data, multi-step synthesis planning, and stereochemical analysis. Emphasizes mechanistic reasoning over memorization and connects organic chemistry to drug design, polymer science, and biochemistry ...

Organic Chemistry Tutor

Eugene, OR · Remote

$18 - $40/hr

... data, multi-step synthesis planning, and stereochemical analysis. Emphasizes mechanistic reasoning over memorization and connects organic chemistry to drug design, polymer science, and biochemistry ...

Organic Chemistry Tutor

OR · Remote

$18 - $40/hr

... data, multi-step synthesis planning, and stereochemical analysis. Emphasizes mechanistic reasoning over memorization and connects organic chemistry to drug design, polymer science, and biochemistry ...

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Remote Chemistry Data Science information

What is a remote chemistry data scientist?

A Remote Chemistry Data Scientist is a professional who uses data science techniques to analyze and interpret chemical data, all while working remotely. They apply statistical modeling, machine learning, and computational methods to solve problems in chemistry, such as predicting chemical properties or optimizing experiments. These professionals often collaborate with chemists, researchers, and engineers to extract actionable insights from large datasets. Working remotely allows them to perform these tasks from anywhere, using digital communication and collaboration tools.

How do remote chemistry data scientists typically collaborate with laboratory teams and other stakeholders?

Remote Chemistry Data Science professionals often collaborate with laboratory teams and other stakeholders through virtual meetings, cloud-based data sharing platforms, and project management tools. Effective communication is key, as they translate complex data analyses into actionable insights for researchers and management. Regular check-ins, collaborative documentation, and participation in virtual lab discussions help ensure alignment on project goals and timelines. Building strong relationships remotely can be a challenge, but leveraging digital collaboration tools and proactive communication helps maintain productivity and teamwork.

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

To thrive as a Remote Chemistry Data Scientist, you need a strong background in chemistry, data analysis, and statistical modeling, often supported by an advanced degree in chemistry, data science, or related fields. Familiarity with programming languages like Python or R, cheminformatics tools, and data visualization platforms is typically required. Excellent problem-solving, communication, and self-motivation skills help you manage remote work, collaborate with interdisciplinary teams, and explain complex findings clearly. These capabilities are crucial for deriving actionable insights from chemical data and driving innovation in research and industry from a remote setting.

What is the difference between Remote Chemistry Data Science vs Remote Chemical Engineering Data Science?

AspectRemote Chemistry Data ScienceRemote Chemical Engineering Data Science
Required CredentialsBachelor's or Master's in Chemistry, Data Science skillsBachelor's or Master's in Chemical Engineering, Data Science skills
Work EnvironmentResearch labs, pharmaceutical companies, biotech firmsManufacturing plants, process industries, chemical companies
Employer & Industry UsageResearch & development, product formulation, quality controlProcess optimization, safety analysis, plant operations
Common Search & Comparison IntentUnderstanding roles in chemistry-focused data science jobsExploring data science roles in chemical engineering contexts

Remote Chemistry Data Science focuses on applying data analysis to chemical research, product development, and quality control within chemistry-related industries. In contrast, Remote Chemical Engineering Data Science emphasizes process optimization and plant operations in chemical manufacturing. While both roles require data science skills and chemistry or engineering backgrounds, their work environments and industry applications differ significantly.

What are popular job titles related to Remote Chemistry Data Science jobs in Oregon?

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

What cities in Oregon are hiring for Remote Chemistry Data Science jobs?

Cities in Oregon with the most Remote Chemistry Data Science job openings:

Data Scientist

OR • On-site, Remote

Full-time

Re-posted 14 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.