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Remote Clinical Data Scientist Jobs in Decatur, GA

Clinical Project Lead, Oncology

Atlanta, GA ยท Remote

$68K - $232K/yr

In this remote role you will serve as the primary country-level leader for clinical trial delivery ... Ensure delivery of high-quality, compliant data and documentation aligned with ICH-GCP, SOPs, and ...

Clinical Project Lead, Oncology

Atlanta, GA ยท Remote

$68K - $232K/yr

In this remote role you will serve as the primary country-level leader for clinical trial delivery ... Ensure delivery of high-quality, compliant data and documentation aligned with ICH-GCP, SOPs, and ...

Senior Data Engineer 2026 - US,UK

Atlanta, GA ยท On-site +1

$117K - $155K/yr

... data science workflow to drive business results preferred * Consulting experience strongly preferred * Willingness to travel We are actively seeking candidates for full-time, remote work within the ...

Senior Data Engineer 2026 - US,UK

Atlanta, GA ยท On-site +1

$117K - $155K/yr

... data science workflow to drive business results preferred * Consulting experience strongly preferred * Willingness to travel We are actively seeking candidates for full-time, remote work within the ...

Data Architect (Remote)

Atlanta, GA ยท Remote

$65.25 - $84/hr

The Data Architect will work with our customers and internal delivery team to ensure successful ... computer sciences, Information Technology, or equivalent experience. * No visa sponsorship ...

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Showing results 1-20

Remote Clinical Data Scientist information

See Decatur, GA salary details

$36.6K

$119.8K

$191.8K

How much do remote clinical data scientist jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote clinical data scientist in Decatur, GA is $119,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,800.00 per year, depending on experience, location, and employer.

How do Remote Clinical Data Scientists typically collaborate with clinical and research teams despite working off-site?

Remote Clinical Data Scientists often work closely with cross-functional teams, including clinicians, biostatisticians, and data managers, using digital collaboration tools such as video conferencing, shared cloud platforms, and secure data repositories. Regular virtual meetings and clear communication protocols help ensure alignment on project goals, data requirements, and analysis timelines. Building strong relationships remotely may require proactive communication and flexibility, but it also allows for efficient collaboration across multiple time zones and institutions. This structure supports seamless participation in data review meetings, protocol discussions, and results interpretation, fostering an inclusive team environment.

What is a Remote Clinical Data Scientist?

A Remote Clinical Data Scientist is a professional who analyzes and interprets complex clinical data related to healthcare studies, treatments, and outcomes, while working from a remote location. They use statistical methods, programming languages, and data management tools to ensure the quality and integrity of clinical trial data. Their work supports clinical research, drug development, and regulatory submissions by providing crucial insights and data-driven recommendations. Remote Clinical Data Scientists often collaborate with clinical teams, biostatisticians, and regulatory professionals using digital communication tools.

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

To thrive as a Remote Clinical Data Scientist, you need expertise in biostatistics, clinical research methods, data analysis, and typically a graduate degree in a related field. Proficiency in statistical programming languages like R or Python, knowledge of clinical trial data management systems, and familiarity with regulatory requirements such as CDISC standards are essential. Exceptional communication, problem-solving abilities, and attention to detail help you collaborate across multidisciplinary teams and ensure data integrity. These skills ensure accurate interpretation of clinical data, support regulatory compliance, and drive successful outcomes in remote healthcare research environments.
What job categories do people searching Remote Clinical Data Scientist jobs in Decatur, GA look for? The top searched job categories for Remote Clinical Data Scientist jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Remote Clinical Data Scientist jobs? Cities near Decatur, GA with the most Remote Clinical Data Scientist job openings:
Infographic showing various Remote Clinical Data Scientist job openings in Decatur, GA as of June 2026, with employment types broken down into 2% As Needed, 81% Full Time, and 17% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,834 per year, or $57.6 per hour.
Senior Healthcare Data Analyst

Senior Healthcare Data Analyst

Imagine Staffing Technology

Atlanta, GA โ€ข Remote

$150K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Job Title: Senior Medical Economics Analyst
Location: Remote (Atlanta, GA preferred)
Hire Type: Direct Hire
Pay Range: $150,000 - $160,000 Base Salary + 10% Bonus + Equity Participation
Work Model: Remote Preferred | Atlanta-Based Candidates Preferred
Schedule: Monday โ€“ Friday, Standard Business Hours
Recruiter Contact: Samantha Marranca | 716-256-1271 | smarranca@imaginestaffing.net
Nature & Scope:
Positional Overview
Our client is seeking a highly analytical and business-minded Senior Medical Economics Analyst to support the continued evolution of its healthcare analytics and predictive insights capabilities.
This is a newly created position reporting into senior leadership and will play a critical role in helping the organization transition from retrospective healthcare reporting toward forward-looking predictive analytics and strategic healthcare insights. The successful candidate will leverage healthcare economics expertise, advanced analytics, statistical methodologies, and consultative problem-solving to support executive leadership, client-facing teams, provider organizations, and value-based healthcare initiatives.
The ideal candidate will possess deep experience working with healthcare claims and population health data, demonstrate strong predictive modeling capabilities, and have the ability to transform complex healthcare data into actionable business recommendations.
This role offers the opportunity to directly influence organizational strategy, support executive decision-making, and contribute to innovative healthcare solutions focused on improving patient outcomes while reducing healthcare costs.
Role & Responsibility:
Tasks That Will Lead To Your Success
  • Analyze large-scale healthcare datasets to identify trends, risks, opportunities, and performance drivers
  • Evaluate provider performance, utilization patterns, referral behaviors, quality outcomes, and healthcare costs
  • Conduct healthcare economics analyses including:
    • PMPM (Per Member Per Month) analysis
    • Utilization trend analysis
    • Cost decomposition analysis
    • Medical cost economics evaluations
    • Quality and performance measurement
  • Perform risk-adjusted financial and utilization analyses across Commercial, Medicare Advantage, and Medicaid populations
  • Analyze longitudinal healthcare performance across multiple reporting periods
Predictive Analytics & Statistical Modeling
  • Design, develop, and operationalize predictive analytics solutions
  • Build and maintain statistical models to identify future healthcare risks and opportunities
  • Develop probability-based models supporting:
    • Population health initiatives
    • Patient risk stratification
    • Utilization forecasting
    • Cost prediction
    • Quality outcome measurement
  • Apply methodologies such as:
    • Logistic regression
    • Risk adjustment
    • Difference-in-differences analysis
    • Credibility weighting
    • Benchmarking methodologies
    • Performance normalization techniques
  • Support the organization's transition toward proactive, forward-looking healthcare insights
Data Management & Technical Analysis
  • Write advanced SQL queries to extract, transform, and analyze healthcare data
  • Create episode-level, provider-level, and member-level datasets
  • Leverage healthcare claims, enrollment, provider, and risk-adjustment data sources
  • Utilize SQL, Tableau, Excel, and Python to develop analytical solutions
  • Normalize healthcare data to account for demographic, reimbursement, geographic, and population changes
  • Ensure analytical methodologies produce accurate, meaningful, and actionable results
Strategic Consulting & Business Partnership
  • Partner with executive leadership, client success teams, sales leadership, providers, and customers to address complex business questions
  • Translate analytical findings into clear business recommendations
  • Serve as a consultative resource by identifying additional insights beyond the original request
  • Present findings to technical and non-technical audiences
  • Help stakeholders understand both the "what" and the "why" behind healthcare performance trends
  • Recommend strategic actions based on analytical findings
Value-Based Care & Program Evaluation
  • Support evaluation and optimization of value-based care programs
  • Analyze episode-of-care performance and specialty care utilization
  • Assist with pricing validation and reconciliation methodologies
  • Support network optimization and care management initiatives
  • Evaluate financial and quality outcomes across multiple healthcare populations
  • Develop frameworks supporting value-based pricing and performance measurement
Skills & Experience
Qualifications That Will Help You Thrive
Required Experience
  • Bachelorโ€™s Degree in Healthcare Analytics, Statistics, Mathematics, Economics, Actuarial Science, Data Science, Computer Science, Public Health, or related STEM discipline
  • 5+ years of healthcare analytics, medical economics, population health, healthcare consulting, payer, or health plan experience
  • Advanced SQL expertise with demonstrated experience analyzing large healthcare datasets
  • Strong healthcare economics background including medical cost analysis, utilization analysis, and performance measurement
  • Experience working with:
    • Medical Claims Data
    • Enrollment & Eligibility Data
    • Provider Data
    • Healthcare Performance Data
    • Value-Based Care Programs
  • Experience developing predictive analytics and statistical models
  • Strong analytical storytelling and consultative communication skills
  • Ability to independently manage complex projects and shifting priorities
Preferred Experience
  • Master's Degree in a quantitative discipline
  • Actuarial credentials (ASA, FSA) or actuarial experience
  • Biostatistics experience within healthcare environments
  • Experience supporting payer or health plan organizations
  • Population health analytics experience
  • Value-based care and episode-of-care experience
  • Advanced predictive modeling expertise
  • Python or R programming experience
  • Tableau development experience
  • Experience presenting findings to executive leadership and external stakeholders
Team & Environment
  • Reports directly to senior healthcare analytics leadership
  • Small, highly collaborative analytics team
  • Significant visibility with executive leadership
  • Opportunity to influence organizational strategy
  • Fast-paced environment with changing priorities
  • High level of autonomy and ownership
  • Exposure to leadership teams, provider organizations, customers, sales leadership, and client success stakeholders
Compensation & Benefits
Compensation
  • Base Salary: $150,000 โ€“ $160,000
  • Annual Bonus Opportunity (~10%)
  • Stock Option / Equity Participation
Benefits
  • Company-paid Medical, Dental, and Vision Coverage (select plans)
  • Annual HSA Contribution (~$1,740)
  • 401(k) with Company Match
  • Unlimited PTO
  • Company-Paid Life Insurance
  • Company-Paid Short-Term & Long-Term Disability
  • Employee Assistance Program
  • Professional Development Support
Why Join This Opportunity?
This is an opportunity to help shape the future of healthcare analytics within a growing organization focused on healthcare economics, predictive insights, and value-based care initiatives. You'll have direct exposure to executive leadership, meaningful ownership over strategic initiatives, and the ability to drive measurable impact across healthcare cost, quality, and patient outcomes.
Unlike larger organizations where analytics teams are highly specialized, this role offers broad influence, visibility, and the opportunity to build innovative solutions that directly affect business strategy and client success.