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Biomedical Informatics Jobs in Sandy Springs, GA

Post Doctoral Fellow

Atlanta, GA

$47.70K - $64.70K/yr

The Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning ...

Post Doctoral Fellow

Atlanta, GA

$47.70K - $64.70K/yr

The Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning ...

Post Doctoral Fellow

Atlanta, GA · On-site

$47.70K - $64.70K/yr

The Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning ...

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Biomedical Informatics information

See Sandy Springs, GA salary details

$15

$28

$38

How much do biomedical informatics jobs pay per hour?

As of May 28, 2026, the average hourly pay for biomedical informatics in Sandy Springs, GA is $28.32, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $31.97 per hour, depending on experience, location, and employer.

What is a Biomedical Informatics job?

A Biomedical Informatics job involves applying computational techniques, data analysis, and information systems to improve healthcare, biomedical research, and patient care. Professionals in this field work on managing and analyzing medical data, developing health informatics tools, and optimizing electronic health records. They may collaborate with clinicians, researchers, and IT specialists to enhance decision-making and streamline healthcare processes. Roles vary from data scientists and bioinformaticians to health IT specialists and clinical informaticians.

What are the key skills and qualifications needed to thrive in the Biomedical Informatics position, and why are they important?

To thrive in Biomedical Informatics, you need a strong background in healthcare, computer science, and data analytics, typically with an advanced degree in a related field. Familiarity with programming languages like Python or R, experience with electronic health records (EHRs), and knowledge of standards such as HL7 or FHIR are often required, as are certifications like AMIA Health Informatics Certification. Excellent problem-solving, communication, and teamwork skills help distinguish top candidates in collaborative, interdisciplinary environments. These skills are crucial for transforming complex health data into actionable insights that drive improvements in patient care and healthcare systems.

What are the typical daily responsibilities of someone working in Biomedical Informatics?

Professionals in Biomedical Informatics spend their days analyzing and managing healthcare data, designing or optimizing data systems, and collaborating with clinicians, IT staff, and researchers to implement technology solutions. Tasks often include developing algorithms to improve clinical workflows, ensuring data integrity and security, and facilitating the integration of health information systems. Much of the work involves translating clinical needs into technical requirements and interpreting data-driven results to help guide decision-making in healthcare settings. This role often requires continuous learning to keep pace with advancements in both medical science and information technology.
What cities near Sandy Springs, GA are hiring for Biomedical Informatics jobs? Cities near Sandy Springs, GA with the most Biomedical Informatics job openings:
Infographic showing various Biomedical Informatics job openings in Sandy Springs, GA as of May 2026, with employment types broken down into 75% Full Time, 18% Part Time, 1% Temporary, and 6% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $58,906 per year, or $28.3 per hour.
Lead Research Informatics Analyst - Winship Cancer Institute

Lead Research Informatics Analyst - Winship Cancer Institute

Emory University

Atlanta, GA • On-site

Full-time

Posted 14 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

Discover Your Career at Emory University
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.
Description
The Winship Data and Technology Applications Shared Resource seeks a highly motivated Research Informatics Analyst to support cancer-focused translational, clinical, and population research across the Winship Cancer Institute. This position serves as a key component of the shared resource infrastructure, providing centralized informatics and analytic expertise to investigators conducting cancer research across discovery, translational, and clinical domains.
The Research Informatics Analyst will function as a collaborative partner to investigators, clinicians, data scientists, and IT/informatics teams, delivering high-quality analytic, data integration, and feasibility assessment support across diverse project portfolios. The role enables investigators to effectively leverage complex and heterogeneous research datasets to support hypothesis generation, study design, cohort identification, and data-driven discovery in alignment with precision oncology and cancer outcomes research efforts.
The ideal candidate will bring substantial experience working with complex clinical and research datasets, including genomics and molecular profiling data, and will contribute to project feasibility analyses, aggregate-level reporting, and the development of reproducible, well-documented analytic workflows. This position operates within a regulated research environment and requires familiarity with data governance, privacy, regulatory requirements, and best practices that ensure rigor, transparency, and responsible data use.
As part of a centralized shared resource, the Research Informatics Analyst is expected to balance technical depth with a strong service-oriented mindset, supporting multiple concurrent projects while collaborating across interdisciplinary teams. The successful candidate will contribute to the sustainability, impact, and scientific value of the shared resource by advancing standardized approaches, scalable informatics solutions, and reproducible analytic practices that drive high-quality cancer research.
KEY RESPONSIBILITIES:
  • Leads efforts to ensure informatics systems support and advance the research objectives and mission of Emory University.
  • Works directly with researchers to document, analyze, and translate their needs into technical designs and informatics solutions.
  • Utilizes standard software requirements and design practices to document informatics solutions to support a wide range of research activities across the university.
  • Leads project team from concept to closeout phase.
  • Applies biomedical informatics technical standards, methodologies, and principles to research-specific program needs, objectives, and outcomes.
  • Manages, from a client business perspective, related systems projects.
  • Ensures a high level of client satisfaction by monitoring the delivery of ongoing information systems to the enterprise.
  • Performs related responsibilities as required.

ADDITIONAL JOB DETAILS:
  • Provide informatics and analytic support for cancer research studies, including clinical trials, translational research, and population-based analyses.
  • Access, integrate, clean, and analyze complex datasets from multiple sources, including clinical, molecular, genomic, and research data systems.
  • Partner with investigators to assess project feasibility, interpret research protocols, and translate eligibility criteria into analytic and informatics workflows.
  • Respond to ad hoc analytic requests and generate aggregate-level summaries, reports, and visualizations to support research and operational decision-making.
  • Collaborate with multidisciplinary teams across technical, clinical, and research domains to ensure accurate data interpretation and timely project delivery.
  • Apply best practices for data quality, documentation, reproducibility, and governance within a regulated research environment.
  • Support additional non-genomic informatics and analytic activities as assigned.
  • Process, interpret, and integrate oncology genomic data - including NGS panel results, somatic variant calls, IHC/biomarker outputs, and liquid biopsy data from vendors such as Caris Life Sciences and Guardant - into research and clinical trial workflows.

MINIMUM QUALIFICATIONS:
  • A bachelor's degree and seven years of experience in information technology or an equivalent combination of education, training and experience.
  • Five years working within a health, research, or academic institution preferred.
  • Knowledge of data and information systems standards relevant to the field of biomedical informatics and health systems.

PREFERRED QUALIFICATIONS:
  • Master's degree in informatics, data science, public health, computer science, biology, biostatistics, or a related field, or an equivalent combination of education and experience.
  • Demonstrated experience working with research or clinical datasets in an academic or healthcare setting.
  • Experience working with oncology genomics or molecular profiling data, including NGS, IHC, biomarkers, variants, and associated clinical metadata.
  • Familiarity with Caris/Guardant, cBioPortal, TCGA/dbGaP workflows.
  • Experience supporting project feasibility assessments, responding to ad hoc analytic requests, and generating aggregate-level summary outputs.
  • Ability to read, interpret, and apply research protocols and eligibility criteria to analytic and informatics workflows.
  • Familiarity with research data governance, regulatory requirements, and best practices for documentation and reproducibility.
  • Demonstrated genomics/NGS experience, SQL/Python/R proficiency
  • SAS, cloud (AWS), project management, deidentification practices

NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University location as needed and at times, on short notice. Emory reserves the right to change this status with notice to employee.
Additional Details
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 University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

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