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Remote Clinical Data Scientist Jobs in Decatur, GA

Medical Writer / Clinical Document Author Location: Remote Job Type: Contractor Pay: $50-$80/hour ... Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Showing results 21-40

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 Aug 20, 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.

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.

How does a remote clinical data scientist 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 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 are popular job titles related to Remote Clinical Data Scientist jobs in Decatur, GA?

For Remote Clinical Data Scientist jobs in Decatur, GA, the most frequently searched job titles are:

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 July 2026, with employment types broken down into 2% As Needed, 74% Full Time, 16% Part Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $119,834 per year, or $57.6 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Sandy Springs, GA • Remote

$90 - $120/hr

Part-time

Posted 23 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.