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Remote Science Jobs in Decatur, GA (NOW HIRING)

Relativity

Senior Applied Scientist

Atlanta, GA · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

LivaNova

Medical Science Liaison - Southeast

Atlanta, GA · On-site +1

$170K - $200K/yr

The Medical Science Liaison (MSL) establishes and maintains peer-to-peer relationships with health care providers, medical and scientific experts, and key opinion leaders (KOLs), and provides ...

LivaNova

Medical Science Liaison - Southeast

Atlanta, GA · On-site +1

$170K - $200K/yr

The Medical Science Liaison (MSL) establishes and maintains peer-to-peer relationships with health care providers, medical and scientific experts, and key opinion leaders (KOLs), and provides ...

ConstructConnect

Data Scientist I

Atlanta, GA · On-site +1

Experience with a range of data science techniques including clustering, machine learning, and ... Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.

Emory University

Fully Remote Abdominal Radiologist

Atlanta, GA · On-site +1

$311.40K - $389.20K/yr

Emory University School of Medicine's Department of Radiology and Imaging Sciences is committed to ... This is a fully remote position and will include interpretation of CT, MR, ultrasound, and ...

Charter Global

Data Scientist

Atlanta, GA · Remote

... and remote resources to get the job done - consistently Here is the Job details: Title: Data ... Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred 5 ...

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All JobsRemote Science JobsRemote Science Jobs in Decatur, GA

Remote Science information

See Decatur, GA salary details

$23.9K

$47.2K

$77.1K

How much do remote science jobs pay per year?

As of May 30, 2026, the average yearly pay for remote science in Decatur, GA is $47,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,600.00 and $50,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are some common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What are remote science jobs?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

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

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What are the most commonly searched types of Science jobs in Decatur, GA? The most popular types of Science jobs in Decatur, GA are:
What are popular job titles related to Remote Science jobs in Decatur, GA? For Remote Science jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Remote Science jobs in Decatur, GA look for? The top searched job categories for Remote Science jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Remote Science jobs? Cities near Decatur, GA with the most Remote Science job openings:
Remote Science jobs near you
Infographic showing various Remote Science job openings in Decatur, GA as of May 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 50% Physical, 3% Hybrid, and 47% Remote job distribution, with an average salary of $47,246 per year, or $22.7 per hour.
Corporate Director, Data Science & AI Engineering

Corporate Director, Data Science & AI Engineering

Emory Healthcare

Atlanta, GA • On-site, Remote

Full-time

Posted 13 days ago

Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 207 frontline employees who took The Breakroom Quiz

158th of 864 rated healthcare providers

Job description

Be inspired.  Be rewarded. Belong. At Emory Healthcare. 

At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be.  We provide: 

  • Comprehensive health benefits that start day 1 
  • Student Loan Repayment Assistance & Reimbursement Programs 
  • Family-focused benefits  
  • Wellness incentives 
  • Ongoing mentorship, development, and leadership programs  
  • And more  

Ideally seeking an Atlanta based candidate able to visit our Atlanta based office, but may consider remote options in the following locations:  applicants residing in or able to relocate to the following states are eligible for hire: Alabama, Arkansas, Florida, Georgia, Illinois, Louisiana, Michigan, New Hampshire, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, and Wisconsin


Emory Healthcare (EHC) — Georgia's most comprehensive academic health system — is investing boldly in its AI-powered data future. As we modernize our enterprise data platform on Microsoft Fabric and scale AI capabilities across clinical, research, and operational domains, we are searching for an exceptional leader to serve as Corporate Director, Data Science & AI Engineering.
Dual reporting to the Chief Data & Analytics Officer (CDAO) and the Chief AI Officer (CAIO), this role is the connective tissue between enterprise strategy and AI/ML execution. You will own the data science management vision, lead a multidisciplinary team that includes AI Engineers and Data Scientists, and serve as the primary architect of how Emory Healthcare harnesses advanced machine learning, generative AI, and large-scale analytics to improve patient outcomes and institutional performance.
This is not a theoretical strategy role. We expect our Director to be equally fluent in designing data Science and AI  frameworks, deploying ML models into production, overseeing LLMOps pipelines, and translating complex analytical findings into boardroom-ready strategy — all within a dynamic, mission-driven health system environment.
 
RESPONSIBILITIES:
 
Below is a comprehensive list of the areas this person will be leading:
AI & Machine Learning Operations

  • Provide strategic direction for the design, deployment, and lifecycle management of ML and AI models across clinical and operational use cases.

  • Establish and mature MLOps and LLMOps practices — including model versioning, monitoring, drift detection, and responsible AI guardrails — in collaboration with AI Engineers.

  • Champion the integration of Generative AI and large language model (LLM) capabilities into EHC workflows, identifying high-value use cases and ensuring safe, governed deployment.
  • Partner with the CDAO and CAIO Offices and Emory Digital/OIT to build a scalable, cloud-native ML infrastructure on Microsoft Fabric and Azure, enabling rapid experimentation and production-grade AI delivery.
Data & Advanced Analytics Strategy

  • Collaborate with the Corp Director AI Strategy, Corp Director Data Engineering, and Data & AI Governance Manager to obtain a deep understanding of stakeholder data needs across the Health System and translate those needs into a cohesive, institution-wide executable Data & AI Models.

  • Catalog existing data shortcomings, establish common definitions, and lead initiatives to reduce reporting redundancies and increase data access, sharing, and consumption.

  • Drive advanced analytics initiatives — including predictive modeling, NLP, and population health analytics — that directly inform strategic fundraising, clinical operations, and resource planning.

  • Proactively mine all data sources for untapped opportunities; surface patterns through data modeling that enhance EHC's Digital Data & Analytics roadmap.

Data and AI Governance & Management

  • Design and implement comprehensive data/AI governance policies, data quality frameworks, and data standards in collaboration with Emory partners.

  • Own data lifecycle management strategy: ingestion, transformation, quality, archiving, and retention across structured and unstructured datasets.

  • Work with legal, compliance, and IT to ensure data privacy (HIPAA, GDPR), ethical AI use, and responsible data stewardship practices are embedded in all programs.

  • Lead the modernization of shared data management and analytics architecture, facilitating joint collaborations that leverage Fabric-based shared infrastructure and resources.

Team Leadership & Cross-Functional Collaboration

  • Recruit, develop, and lead a high-performing team of AI Engineers and Data Scientists within the CDAO and CAIO Offices.

  • Cultivate collegial partnerships with Emory University research, IT, and academic groups to build consensus and drive shared AI/data initiatives.

  • Collaborate with external organizations to source and leverage third-party data assets that augment institutional analytics capabilities.

  • Present complex data findings, AI model outputs, and strategic recommendations to senior leadership, boards, and clinical decision-makers with clarity and conviction.

 
PREFERRED QUALIFICATIONS:
  • Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field; advanced degree (PhD) strongly preferred.
  • 10+ years of progressive experience in data science, advanced analytics, or AI/ML leadership — with at least 3 years managing technical teams in an enterprise environment.
  • Demonstrated expertise in machine learning lifecycle management (MLOps): model development, deployment, monitoring, and governance at scale.
  • Hands-on experience with cloud-native data platforms; Microsoft Fabric, Azure ML, or equivalent modern data lakehouse/warehouse architectures.
  • Proficiency in business intelligence and data visualization (Power BI strongly preferred); experience with APIs, Python/R, and large-scale SQL-based analytics.
  • Strong understanding of data governance, ethical use of Data/AI, and privacy regulations (HIPAA experience is a significant plus).
  • Exceptional executive communication skills — ability to synthesize technical complexity into strategic narrative for C-suite and Board-level audiences.
  • Proven ability to lead cross-functional, matrixed teams and collaborate effectively with both business users and technical engineering teams.
  • Experience with Generative AI / Large Language Model (LLM) deployment: prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and LLMOps.
  • Background in healthcare or life sciences data — including clinical data models (FHIR, HL7, OMOP) and EHR analytics.
  • Experience with Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Real-Time Intelligence, Fabric AI/Copilot) in a production enterprise setting.
  • Familiarity with responsible AI frameworks, bias detection, explainability (XAI), and AI ethics policy development.
  • Experience building and scaling data science and ML platforms in regulated or academic health environments.
  • Certification in cloud platforms (Azure, AWS, GCP), data governance frameworks (DAMA-DMBOK), or AI/ML (Google ML, AWS ML Specialty, etc.).
 
MINIMUM QUALIFICATIONS:
  • Bachelor's degree in data science, engineering, statistics, analytics or related areas, and ten years of related experience, OR an equivalent combination of experience, education, and training.
  • Knowledge about health, research, and/or academic programs.
  • Excellent communication skills and experience presenting findings to decision-makers.
  • Ability to collaborate with senior leadership, work effectively and independently on multiple priorities with strict deliverable dates.
  • Experience working with both business users and technical development teams. Experience with APIs, business intelligence, and data visualization tools (experience WebGIS, RShiny, and/or Microsoft Power BI highly preferred).
  • Experience with Cloud environment and services.
  • Familiarity with data protection and privacy, data ethics, and data governance issues.
  • Strong, demonstrated skills in writing and presentation of findings and analyses.
  • Experience working with large structured and unstructured datasets and telling a compelling story that tracks to value.

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.

Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare’s Human Resources at careers@emoryhealthcare.org. Please note that one week's advance notice is preferred.

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