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Data Curation Jobs in Connecticut (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Stamford, CT · 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

Hartford, CT · 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 ...

Factset

Senior Media Analyst

Norwalk, CT · On-site

$88K - $116K/yr

Take control of our data products, utilizing human-in-the-loop data curation and validation software to ensure our products evolve with changing standards and reporting requirements, while also ...

Pfizer

Senior ML/AI Cheminformatics Scientist

Groton, CT · On-site

$93K - $156K/yr

Collaborate with cross-functional teams to integrate computational approaches into curation and analysis workflows * Maintain best practices in data integrity, reproducibility, and documentation of ...

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Data Curation information

See Connecticut salary details

$10

$44

$71

How much do data curation jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data curation in Connecticut is $44.98, according to ZipRecruiter salary data. Most workers in this role earn between $29.91 and $59.11 per hour, depending on experience, location, and employer.

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.

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 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 most commonly searched types of Data Curation jobs in Connecticut? The most popular types of Data Curation jobs in Connecticut are:
What are popular job titles related to Data Curation jobs in Connecticut? For Data Curation jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Curation jobs in Connecticut look for? The top searched job categories for Data Curation jobs in Connecticut are:
Data Curation jobs near you
Infographic showing various Data Curation job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $93,566 per year, or $45 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Waterbury, CT • On-site, Remote

$90 - $120/hr

Part-time

Posted 10 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer 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 annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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