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Datasets Jobs in Phoenix, AZ (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Scottsdale, AZ · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Glendale, AZ · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Assa Abloy

Senior Data Analytics Engineer

Phoenix, AZ · On-site

Design and own curated analytics datasets and reusable dimensional models that become a "single source of truth" across the functional domains in scope. * Establish and enforce consistent KPI ...

LanceSoft, Inc.

Data Analyst

Phoenix, AZ · On-site

Analyze large and complex datasets to identify trends, issues, and opportunities for improvement. * Develop and maintain data reports, dashboards, graphs, and longitudinal flowcharts. * Perform ...

Purple Drive

Power BI Developer

Phoenix, AZ

Build intuitive interactive visualizations that translate complex datasets into actionable business insights. * Develop advanced DAX calculations and business logic; use Power Query / M for ...

Talent Groups

Data Analyst

Phoenix, AZ · On-site

You will work with large and complex datasets, identify trends and data-quality issues, develop reports/visualizations, and provide analytical and technical support to business stakeholders. Key ...

S R INTERNATIONAL INC

Business Analyst

Phoenix, AZ · On-site

Ability to analyze large and complex datasets * Strong analytical and problem-solving skills * Excellent written and verbal communication * Ability to communicate complex information to non-technical ...

Deloitte

Data Engineer II

Tempe, AZ · On-site

$109K - $131K/yr

Develop transformation layers and curated datasets in Snowflake, including dimensional/data product modeling for analytics and downstream applications. * Implement orchestration and workflow ...

YO AI Labs

Medical Coder - Remote

Phoenix, AZ · Remote

$50 - $80/hr

In this role, you will review and annotate medical records, evaluate coding accuracy, and provide expert feedback to support the development of high-quality medical datasets. No prior AI experience ...

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All JobsDatasets JobsDatasets Jobs in Phoenix, AZ

Datasets information

What is the difference between Datasets vs Data Analysts?

AspectDatasetsData Analysts
Required credentialsNone specific; often familiarity with data formats and toolsBachelor's degree in data-related fields; skills in data analysis tools
Work environmentData repositories, databases, data warehousesOffice settings, data analysis software, reporting tools
Employer and industry usageUsed by data analysts, data scientists, and database managersUsed by business teams, data analysts, and decision-makers
Common search and comparison intentUnderstanding data sources and structuresInterpreting data, generating reports, making decisions

Datasets are collections of raw data used as sources for analysis, while Data Analysts interpret and analyze these datasets to generate insights and support decision-making. Datasets serve as the foundational data, whereas Data Analysts apply skills to extract value from them.

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Infographic showing various Datasets job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Bioinformatics Software Engineer

micro1 AI

Scottsdale, AZ • Remote

$80 - $110/hr

Part-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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