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Data Curation Jobs in Illinois (NOW HIRING)

IMC

Quantitative Researcher - Data Curation

Chicago, IL · On-site

The ideal candidate will have deep experience curating and analyzing a broad range of trading-related data sources-including traditional market data, fundamental datasets, and other vendor-supplied ...

IMC

Quantitative Researcher - Data Curation

Chicago, IL · On-site

$250K - $300K/yr

The ideal candidate will have deep experience curating and analyzing a broad range of trading-related data sources-including traditional market data, fundamental datasets, and other vendor-supplied ...

Amgen, Inc.

Data Management Manager

Deerfield, IL · On-site

$142K/yr

Implement end to end data curation processes for Amgen's new and existing PSP (Patient Support Programs) and SP (Specialty Pharmacies) data sources; Implement linking of first and third-party patient ...

Amgen

Data Management Manager

Deerfield, IL · On-site +1

$142K/yr

Implement end to end data curation processes for Amgen's new and existing PSP (Patient Support Programs) and SP (Specialty Pharmacies) data sources; Implement linking of first and third-party patient ...

micro1 AI

Cheminformatics Specialist - Remote

Joliet, IL · On-site +1

$90 - $120/hr

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

micro1 AI

Cheminformatics Specialist - Remote

Chicago, IL · On-site +1

$90 - $120/hr

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

micro1 AI

Cheminformatics Specialist - Remote

Rockford, IL · On-site +1

$90 - $120/hr

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

micro1 AI

Computational Biologist - AI Reviewer

Elgin, IL · On-site +1

$90 - $120/hr

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

micro1 AI

Computational Biologist - AI Reviewer

Aurora, IL · On-site +1

$90 - $120/hr

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

micro1 AI

Cheminformatics Specialist - Remote

Peoria, IL · On-site +1

$90 - $120/hr

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

micro1 AI

Cheminformatics Specialist - Remote

Elgin, IL · On-site +1

$90 - $120/hr

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

micro1 AI

Cheminformatics Specialist - Remote

Aurora, IL · On-site +1

$90 - $120/hr

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

micro1 AI

Computational Biologist - AI Reviewer

Joliet, IL · On-site +1

$90 - $120/hr

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

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Data Curation information

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How much do data curation jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for data curation in Illinois is $39.33, according to ZipRecruiter salary data. Most workers in this role earn between $26.16 and $51.68 per hour, depending on experience, location, and employer.

What is a data curation?

A Data Curation job involves collecting, organizing, maintaining, and ensuring the quality of data for accuracy and accessibility. Data curators clean and structure datasets, manage metadata, and ensure compliance with data governance standards. They work closely with data scientists, analysts, and engineers to support data-driven decision-making. This role is essential in industries like research, healthcare, finance, and technology, where high-quality data is crucial for insights and innovation.

What are the key skills and qualifications needed to thrive in data curation, and why are they important?

To excel in Data Curation, you need a strong background in data management, information science, and database technologies, often supported by a degree in a related field. Familiarity with data wrangling tools, metadata standards, programming languages (such as Python or R), and data management systems is highly valuable. Attention to detail, analytical thinking, and collaborative communication are standout soft skills in this position. These abilities ensure data integrity, usability, and accessibility, which are essential for supporting robust decision-making and research outcomes.

What are some typical challenges faced by professionals in data curation roles?

Professionals in Data Curation often manage large, complex datasets from diverse sources, which can present challenges in ensuring consistency, accuracy, and proper documentation. They may encounter incomplete or poorly formatted data that requires significant cleaning and standardization. Collaborating with researchers, data engineers, and subject matter experts is common to clarify requirements and maintain data integrity. Staying current with evolving data standards and technologies is also key to success, making adaptability important in daily work.

How do you become a data curator?

To become a data curator, you typically need a bachelor's degree in a related field such as information science, computer science, or data management. Gaining experience with data organization, metadata standards, and tools like database management systems or data cleaning software is important, along with developing strong analytical and attention-to-detail skills.

Is a data curator a good job?

A data curator manages and organizes data sets to ensure quality, consistency, and accessibility, often using tools like databases and data management software. It is a growing field with opportunities in industries such as healthcare, finance, and technology, and typically requires strong attention to detail and knowledge of data standards. The role can offer stable employment and the chance to develop specialized skills in data management.

What does a data curator do?

A data curator is responsible for organizing, maintaining, and ensuring the quality of data within a database or repository. They select relevant data, apply standards for consistency, and often use tools like data management software to prepare data for analysis or sharing.

What are the most commonly searched types of Data Curation jobs in Illinois?

The most popular types of Data Curation jobs in Illinois are:

What are popular job titles related to Data Curation jobs in Illinois?

For Data Curation jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Data Curation jobs in Illinois look for?

The top searched job categories for Data Curation jobs in Illinois are:

Data Curation jobs near you
Infographic showing various Data Curation job openings in Illinois as of August 2026, with employment types broken down into 75% Full Time, 15% Part Time, and 10% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $81,808 per year, or $39.3 per hour.

Quantitative Researcher - Data Curation

Chicago, IL • On-site

IMC
See more jobs at IMCexternal

Full-time

Re-posted 8 days ago

Job description

We are seeking a highly analytical and detail-oriented Quantitative Researcher to join our dynamic research team. The ideal candidate will have deep experience curating and analyzing a broad range of trading-related data sources-including traditional market data, fundamental datasets, and other vendor-supplied information. This role will contribute to the development of innovative trading strategies, support data-driven decision-making, and collaborate closely with trading, technology, and data acquisition teams.

Key Responsibilities:

  • Curate, cleanse, and validate large volumes of market data, focusing on US equity and equity options
  • Integrate, preprocess, and evaluate fundamental & alternative data sources
  • Work closely with data acquisition & global data team to assess data quality
  • Build and maintain robust data pipelines for research and live trading environments
  • Perform data analysis ad statistical modeling to identify patterns and inefficiencies in the market
  • Ensure the accuracy, completeness, and timeliness of datasets used in quantitative modeling.
  • Document research processes, data provenance, and results with high standards of clarity and reproducibility
  • Collaborate with software engineers and traders to translate research into production-grade models and tools
  • Conduct quantitative research and analysis to support and enhance trading strategies 

Required Skills & Experience:

  • 3+ years of experience in a quantitative research or data-focused role in financial markets, ideally in a systematic trading environment
  • Proven experience working with a diverse range of trading and financial data
  • Must have previous knowledge of options markets and experience working with options data
  • Hands-on experience integrating and analyzing non-market data sources is a plus
  • Strong understanding of data vendor landscape
  • Advanced proficiency in Python
  • Experience with databases (SQL) and handling large datasets efficiently
  • Familiarity with real-time data systems and tick-level data processing
  • Familiarity with statistical and machine learning techniques
  • Exceptional attention to detail and a systematic approach to problem-solving
  • Strong written and verbal communication skills

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