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Postdoc Data Science Remote Jobs in Tennessee (NOW HIRING)

General Motors

Senior AI/ML Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...

Premise Health

Epic Solutions Architect - Remote

Brentwood, TN · On-site +1

$59.50 - $78.50/hr

This is a Full Time, remote, Epic Solutions Architect role. What You'll Do * Partner with Member ... data science, reporting and analytics, or economics. * Requires minimum three (3) years' experience ...

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Postdoc Data Science Remote information

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What is a Postdoc Data Science Remote position?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

What are the key skills and qualifications needed to thrive as a Postdoc Data Science Remote, and why are they important?

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote Postdoc Data Scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.
What are popular job titles related to Postdoc Data Science Remote jobs in Tennessee? For Postdoc Data Science Remote jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Postdoc Data Science Remote jobs in Tennessee look for? The top searched job categories for Postdoc Data Science Remote jobs in Tennessee are:
What cities in Tennessee are hiring for Postdoc Data Science Remote jobs? Cities in Tennessee with the most Postdoc Data Science Remote job openings:
Postdoc Data Science Remote jobs near you
Infographic showing various Postdoc Data Science Remote job openings in Tennessee as of May 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.
Manager of Data Engineering & Architecture - Hybrid / Remote

Manager of Data Engineering & Architecture - Hybrid / Remote

Surgery Partners

Brentwood, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Surgery Partners rating

7.5

Company rating: 7.5 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

221st of 869 rated healthcare providers

Job description

  • Hybrid for candidates in Nashville and surrounding areas.
  • Remote option available for candidates outside of surrounding areas.

Key Responsibilities
Leadership & Team Development
  • Lead, mentor, and develop a team of data, architectural engineers across onshore and offshore resources
  • Support workforce planning, hiring, onboarding, coaching, and performance management
  • Foster a culture of accountability, continuous improvement, and technical excellence

Data Platform & Architecture
  • Provide architectural direction for the enterprise data warehouse and data lake, ensuring alignment with healthcare data standards and regulatory requirements (e.g., HIPAA)
  • Design and optimize scalable, secure data pipelines using Azure Databricks, Apache Spark, and Azure-native data services
  • Guide integration of data from multiple healthcare sources, including EMRs, claims systems, and patient portals
  • Ensure solutions are designed for scalability, reliability, cost efficiency, and long-term maintainability

Delivery & Collaboration
  • Partner with clinical, operational, analytics, and IT teams to deliver trusted, self-service data and insights
  • Oversee strategic data initiatives and projects, ensuring alignment with business priorities and organizational goals
  • Promote and institutionalize Agile and iterative development practices within the data engineering organization

Governance, Quality & Compliance
  • Establish and enforce data governance, privacy, security, and quality standards across platforms and pipelines
  • Ensure compliant handling of healthcare data, including PHI, in accordance with HIPAA and internal policies
  • Support data stewardship, documentation, and auditability across the data ecosystem

Innovation & Strategy
  • Stay current with industry trends in data engineering, process automation, cloud platforms, DataOps, and MLOps
  • Identify opportunities to modernize tooling, architecture, and delivery practices to improve outcomes and efficiency
  • Contribute to long-term data and analytics strategy and roadmap development

Required Qualifications
  • Bachelor's or master's degree in computer science, Computer Engineering, Information Systems, or a related field (or equivalent experience)
  • 5+ years of experience in data engineering, automation or related technical roles
  • 3+ years of experience in leadership or people management capacity
  • Strong background in SQL, data modeling, and ETL/ELT development
  • Hands-on experience with Azure Databricks, including:

    • Building Spark-based data pipelines
    • Managing cluster performance and cost optimization
    • Integrating with Azure Data Factory and Azure Data Lake Storage

  • Deep understanding of Azure cloud architecture and healthcare-specific data challenges
  • Proven ability to design and architect data and analytics solutions across project, product, and program levels

Preferred Qualifications
  • Familiarity with healthcare data formats and standards such as HL7, FHIR, and claims data
  • Experience with BI and analytics tools such as Power BI, Tableau, or Sigma
  • Strong communication skills with the ability to collaborate effectively across technical and non-technical stakeholders
  • Experience operating in regulated environments with a focus on security, privacy, and compliance

Benefits:
  • Comprehensive health, dental, and vision insurance
  • Health Savings Account with an employer contribution
  • Life Insurance
  • PTO
  • 401(k) retirement plan with a company match
  • And more!

ENVIRONMENTAL/WORKING CONDITIONS: Normal busy office environment with much telephone work. Possible long hours as needed. The description is intended to provide only basic guidelines for meeting job requirements. Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.
*If you are viewing this role on a job board such as Indeed.com or LinkedIn, please know that pay bands are auto assigned and may not reflect the true pay band within the organization.
*No Recruiters Please
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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