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Remote Cigna Data Scientist Jobs in Kentucky (NOW HIRING)

RMS Energy

Technical Data Coordinator

Louisville, KY · Remote

Able to work independently in a remote environment * Willing to travel 25%+ to sites or industry ... science, or a related field * Exposure to data tools like SQL, SAP, or AutoCAD * Experience ...

Toloka

Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia ... Bachelor's or Master's degree in Data Science, ML/AI, Software Engineering, or a related ...

C-Plan.IT

VP Engineering and R&D - AI Startup

Louisville, KY · On-site +1

$172K - $221K/yr

Privately funded, we are a fully remote company with a 100% distributed team allowing us to hire ... Experience managing a team of data scientists and AI researchers and engineers using Agile ...

C-Plan.IT

VP Engineering and R&D - AI Startup

Louisville, KY · Remote

$172K - $221K/yr

Privately funded, we are a fully remote company with a 100% distributed team allowing us to hire ... Experience managing a team of data scientists and AI researchers and engineers using Agile ...

General Motors

Senior Manager, Embodied AI

Frankfort, KY · On-site +1

$296K - $453K/yr

... ML engineers, data scientists and engineers who are passionate about leveraging advanced AI ... Remote/Hybrid: This role is categorized as fully remote or hybrid. Compensation: The compensation ...

New

General Motors

Senior Manager, Embodied AI

Frankfort, KY · On-site +1

$296K - $453K/yr

... ML engineers, data scientists and engineers who are passionate about leveraging advanced AI ... Remote/Hybrid: This role is categorized as fully remote or hybrid. Compensation: The compensation ...

New

Baptist Health

AI Manager

Lexington, KY · Remote

This will be a remote position that requires residency in KY or IN. The AI Manager will play a ... Bachelor's degree in data science, computer science, Engineering, Informatics, Healthcare or ...

Baptist Health

AI Manager

Louisville, KY · Remote

This will be a remote position that requires residency in KY or IN. The AI Manager will play a ... Bachelor's degree in data science, computer science, Engineering, Informatics, Healthcare or ...

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

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All JobsCigna Data Scientist JobsRemote Cigna Data Scientist JobsRemote Cigna Data Scientist Jobs in Kentucky

Remote Cigna Data Scientist information

What does a remote Cigna data scientist do?

A Remote Cigna Data Scientist analyzes large sets of healthcare and insurance-related data to identify trends, build predictive models, and help the company make data-driven decisions. Working remotely, they collaborate with other teams to improve patient outcomes, reduce costs, and enhance customer experiences. Their role often involves using statistical tools, machine learning techniques, and data visualization to turn complex data into actionable insights for the business.

What are the key skills and qualifications needed to thrive as a remote Cigna data scientist?

To thrive as a Remote Cigna Data Scientist, you need a strong background in statistics, data analysis, and programming, typically with a degree in computer science, mathematics, or a related field. Proficiency in tools such as Python, R, SQL, and experience with data visualization platforms and machine learning frameworks is essential. Strong problem-solving, communication, and collaboration skills set candidates apart, especially when working remotely across teams. These competencies are vital for effectively analyzing complex healthcare data, delivering actionable insights, and supporting data-driven decisions in a virtual environment.

What are the typical collaboration methods for remote data scientists at Cigna?

As a remote Data Scientist at Cigna, you will frequently collaborate with cross-functional teams including data engineers, product managers, and business analysts using virtual platforms such as Microsoft Teams and Slack. Regular stand-up meetings, project syncs, and code reviews are standard practices to ensure alignment and transparency. Effective communication and proactive documentation are crucial, as you may work across different time zones. Additionally, you can expect to participate in collaborative problem-solving sessions and share analytical insights through interactive dashboards or presentations.

What is the difference between Remote Cigna Data Scientist vs Remote Cigna Data Analyst?

AspectRemote Cigna Data ScientistRemote Cigna Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related; proficiency in data visualization tools
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData reporting, trend analysis, data cleaning
Employer & Industry UsageHealthcare insurance, health servicesHealthcare insurance, health services

Remote Cigna Data Scientists focus on developing predictive models and advanced analytics, requiring specialized skills in machine learning. Data Analysts handle data reporting and trend analysis, often with less emphasis on complex modeling. Both roles are integral to Cigna's healthcare insurance operations but differ in technical depth and project scope.

What are popular job titles related to Remote Cigna Data Scientist jobs in Kentucky?

For Remote Cigna Data Scientist jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Remote Cigna Data Scientist jobs in Kentucky look for?

The top searched job categories for Remote Cigna Data Scientist jobs in Kentucky are:

What cities in Kentucky are hiring for Remote Cigna Data Scientist jobs?

Cities in Kentucky with the most Remote Cigna Data Scientist job openings:

Remote Cigna Data Scientist jobs near you
Infographic showing various Remote Cigna Data Scientist job openings in Kentucky as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

Louisville, KY • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $110/hr

Part-time

Posted 29 days ago

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.

Apply