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Entry Level Data Scientist Remote Jobs in Seattle, WA

YO AI Labs

Biology Research Scientist - Remote

Seattle, WA · Remote

$50 - $70/hr

Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate ... Scientific Data Interpretation * Evidence-Based Reasoning * Technical Documentation Qualifications

YO AI Labs

Biology Research Scientist - Remote

Seattle, WA · Remote

$50 - $70/hr

Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate ... Scientific Data Interpretation * Evidence-Based Reasoning * Technical Documentation Qualifications

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ... Bachelor's level degree or higher in Computer Science, Engineering, or equivalent practical ...

Ziply Fiber

Data Engineer

Kirkland, WA · Remote

$101K - $142K/yr

Collaborate with data analysts, data scientists, and business stakeholders to understand data needs ... Ability to work independently in a remote environment and collaborate effectively across teams.

New

AAA Washington

Data Analytics Engineer

Bellevue, WA · On-site +1

$129K - $155K/yr

We support hybrid and remote work options for many positions based in our corporate office ... Science, Information Systems, Engineering, or equivalent preferred Experience -- 0-2 years in data ...

AAA Washington

Data Analytics Engineer

Bellevue, WA · On-site +1

$129K - $155K/yr

We support hybrid and remote work options for many positions based in our corporate office ... Science, Information Systems, Engineering, or equivalent preferred Experience -- 0-2 years in data ...

AAA Washington

Data Acquisition Engineer I

Bellevue, WA · On-site +1

$129K - $155K/yr

We support hybrid and remote work options for many positions based in our corporate office ... Science, Information Systems, Engineering, or equivalent preferred Experience -- 0-2 years in data ...

AAA Washington

Data Acquisition Engineer I

Bellevue, WA · On-site +1

$129K - $155K/yr

We support hybrid and remote work options for many positions based in our corporate office ... Science, Information Systems, Engineering, or equivalent preferred Experience -- 0-2 years in data ...

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Entry Level Data Scientist Remote information

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$187.8K

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How much do entry level data scientist remote jobs pay per year?

As of Aug 28, 2026, the average yearly pay for entry level data scientist remote in Seattle, WA is $187,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 per year, depending on experience, location, and employer.

What is an entry level data scientist remote?

An Entry Level Data Scientist (Remote) is a professional who analyzes and interprets complex digital data to help companies make informed decisions, typically working from a location outside of the company's physical office. They use statistical techniques, machine learning, and data visualization tools to uncover insights from large datasets. Entry level positions are designed for individuals with limited professional experience, often recent graduates or those transitioning into the field. Remote roles offer flexibility, enabling employees to work from home or any other location with internet access.

What are the key skills and qualifications needed to thrive as an entry level data scientist remote?

To thrive as an Entry Level Data Scientist (Remote), you need a solid foundation in statistics, programming (especially Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (such as scikit-learn or TensorFlow), as well as experience with data visualization platforms, is often expected. Strong problem-solving skills, self-motivation, and clear communication are crucial for collaborating across teams and working independently in a remote environment. These skills and qualities ensure you can effectively extract insights from data and contribute meaningfully to business decisions, even without direct in-person supervision.

What are some common challenges entry level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulties in understanding team expectations, and staying motivated without in-person supervision. To overcome these, it's helpful to proactively communicate with teammates and supervisors, seek regular feedback, and participate in virtual team meetings or collaborative coding sessions. Leveraging online communities and internal chat channels can also help build connections and access guidance when needed, ensuring continued learning and integration into the team.

Can I get an entry level data scientist remote job with no experience?

Entry level remote data scientist positions typically require some foundational knowledge in programming, statistics, and data analysis tools like Python or R. While prior experience is often preferred, candidates with relevant coursework, certifications, or strong analytical skills can sometimes qualify for entry-level roles without professional experience.

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Entry Level Data Scientist Remote jobs near you
Infographic showing various Entry Level Data Scientist Remote job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $187,795 per year, or $90.3 per hour.

Biology Research Scientist - Remote

Seattle, WA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$50 - $70/hr

Full-time

Posted 4 days ago

Job description

Biology Research Scientist

Job Type: Contractor
Location: Remote
Hours: 10–20 hours/week
Duration: 1–2 months minimum, with likely extension
Start: Immediate

Job Overview

We are seeking experienced Biology Research Scientists to support a project focused on validating protein target assignments against primary scientific sources and UniProt records.

You will review research papers and patents, identify target assignment errors, propose corrected UniProt accessions, and provide concise, evidence-based scientific reasoning.

Key Responsibilities
  • Review primary research papers and patents to verify protein target assignments.
  • Compare target assignments against UniProt and identify discrepancies.
  • Classify target assignment errors using a structured taxonomy.
  • Propose accurate UniProt accessions where assignments are incorrect.
  • Document clear, concise, evidence-grounded reasoning for each determination.
  • Apply expertise in pharmacology, biochemistry, molecular biology, or chemical biology to evaluate target relationships.
Required Skills
  • Protein Target Identification
  • UniProt
  • Primary Literature Review
  • Protein Biochemistry
  • Molecular Biology
  • Pharmacology
  • Binding & Functional Assays
  • Scientific Data Interpretation
  • Evidence-Based Reasoning
  • Technical Documentation
Qualifications
  • BA/BS + 5 years, MS + 2 years, or PhD with relevant industry/drug discovery experience.
  • Background in pharmacology, biochemistry, molecular biology, or chemical biology within biotech, pharma, or CRO environments.
  • Hands-on experience with assays such as SPR, TR-FRET, radioligand binding, kinase assays, or GPCR functional assays.
  • Experience interpreting IC50, Ki, and Kd data.
  • Currently active in a bench-based research, scientist, or associate scientist role.
  • Working knowledge of UniProt or related workflows such as SAR, HTS, target validation, biochemical profiling, or IND-enabling studies.
Nice to Have
  • Experience with ChEMBL, BindingDB, or PubChem.
  • Selectivity profiling or counterscreening experience.
  • Understanding of agonist/antagonist vs. activator/inhibitor distinctions.
Screening Questions
  1. What is your highest relevant degree and how many years of industry research experience do you have?
  2. What is your experience with protein target identification and UniProt?
  3. Which binding or functional assays have you performed hands-on?
  4. Do you have experience interpreting IC50, Ki, or Kd data?
  5. Have you worked with ChEMBL, BindingDB, or PubChem?
  6. Are you currently bench-active in a research or scientist role?
  7. Are you available for 10–20 hours per week with an immediate start?