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Data Science International Remote Jobs in Kentucky

VP Engineering and R&D - AI Startup

Louisville, KY ยท 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 ...

VP Engineering and R&D - AI Startup

Louisville, KY ยท 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 ...

Business Manager

Louisville, KY ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in business, Supply Chain, Analytics, Data Science, or a similar field is ... Ability and willingness to travel up to 50% of the time, including potential for international ...

Senior Insider Threat Engineer

Louisville, KY ยท On-site +1

$110K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree or higher in Cybersecurity, Information Technology, Data Science, or related ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Senior Insider Threat Engineer

Louisville, KY ยท On-site +1

$110K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree or higher in Cybersecurity, Information Technology, Data Science, or related ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Senior Insider Threat Engineer

Louisville, KY ยท On-site +1

$110K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree or higher in Cybersecurity, Information Technology, Data Science, or related ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

... International Organization for Standardization 27001, Sarbanes-Oxley, General Data Protection ... Master's degree in Computer Science, Cyber Security, Information Security, Engineering, or ...

Showing results 21-40

Data Science International Remote information

What is the difference between Data Science International Remote vs Data Analyst International Remote?

AspectData Science International RemoteData Analyst International Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Statistics, Mathematics, or related fields; basic data analysis skills
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, focused on data reporting and visualization tasks
Employer & Industry UsageTech, finance, healthcare, and consulting firmsBusiness, marketing, finance, and retail sectors

Data Science International Remote involves advanced analytics, machine learning, and programming, while Data Analyst International Remote focuses on data reporting, visualization, and basic analysis. Both roles are remote and in demand across various industries, but Data Science typically requires more technical skills and higher qualifications.

What are some common challenges faced by data scientists working in an international remote setting?

Data scientists working internationally and remotely often encounter challenges such as collaborating across time zones, which can make real-time communication and meetings difficult. Additionally, remote work may require extra effort to stay aligned with team goals, maintain effective data sharing, and ensure data privacy and compliance with various countries' regulations. Building strong relationships with colleagues may also take more intentional communication and proactive engagement. However, many companies support remote data scientists with robust collaboration tools and flexible work schedules to help mitigate these challenges.

What are the key skills and qualifications needed to thrive as a data scientist working internationally and remotely?

To excel as a Data Scientist in an international remote role, you need strong expertise in statistics, data analysis, and programming languages such as Python or R, typically backed by a degree in computer science, statistics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and cloud-based platforms like AWS or Google Cloud is essential, and certifications in these areas can be advantageous. Outstanding communication, self-motivation, and cross-cultural collaboration skills help you effectively share insights and work with diverse teams across time zones. These competencies ensure you can independently deliver impactful data solutions while adapting to global team dynamics and remote work challenges.

What is a data science international remote job?

A Data Science International Remote job involves analyzing and interpreting complex data sets to help organizations make data-driven decisions, while working from a location outside the employer's country. This role typically requires strong skills in statistics, programming, and data visualization, and may involve collaborating with global teams across different time zones. Remote data scientists often use tools like Python, R, and SQL, and must be adept at communicating insights clearly to both technical and non-technical stakeholders. The international aspect adds the opportunity for cross-cultural collaboration and exposure to diverse data challenges.

What are popular job titles related to Data Science International Remote jobs in Kentucky?

For Data Science International Remote jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Data Science International Remote jobs in Kentucky look for?

The top searched job categories for Data Science International Remote jobs in Kentucky are:

What cities in Kentucky are hiring for Data Science International Remote jobs?

Cities in Kentucky with the most Data Science International Remote job openings:

Cheminformatics Specialist - Remote

micro1 AI

Louisville, KY โ€ข Remote

$80 - $110/hr

Part-time

Posted 16 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 customerโ€™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 โ€” 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, Schrรถdinger, 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.