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Remote Taxonomy Jobs in Massachusetts (NOW HIRING)

Martech Platform Data Lead

Westwood, MA · On-site +1

$140K - $183K/yr

Drive data quality, metadata, taxonomy, and attribute standards for customer communications ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

Remote Taxonomy information

What is the difference between Remote Taxonomy vs Remote Data Analyst?

AspectRemote TaxonomyRemote Data Analyst
Required CredentialsKnowledge of taxonomy principles, often a degree in library science, information science, or related fieldsDegree in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentPrimarily focused on organizing and classifying information, often in content management systemsAnalyzing datasets, creating reports, and deriving insights from data
Employer & Industry UsageUsed in content management, library sciences, and information architectureCommon in finance, marketing, healthcare, and tech industries

While both roles involve working with data and information, Remote Taxonomy focuses on organizing and classifying information structures, whereas Remote Data Analysts interpret and analyze data to support decision-making. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Taxonomy jobs in Massachusetts?

The most popular types of Taxonomy jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Taxonomy jobs?

Cities in Massachusetts with the most Remote Taxonomy job openings:

Infographic showing various Remote Taxonomy job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 93% Full Time, 2% Part Time, and 4% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution.

Biology Research Scientist - Remote

Boston, MA • Remote

$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?