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Health Intelligence Jobs (NOW HIRING)

Client Executive - Remote - Sioux Falls, SD

Stamford, CT · On-site +1

$81K - $110K/yr

Sema4 is a patient-centered health intelligence company founded on the idea that more information, deeper analysis, and increased engagement will improve the diagnosis, treatment, and prevention of ...

Working on the Intelligence Unit is like having a front row seat to the future. There is no team ... Analyze the momentum of digital health startups, tech markets, and competitive dynamics. * Develop ...

Backend Engineer Backend Engineer -- Clinical Data & API Integration Volunteer Role Replenish NutrAI is a menopause health intelligence platform. The full product includes a peer-reviewed chatbot ...

Sema4 is a patient-centered health intelligence company founded on the idea that more information, deeper analysis, and increased engagement will improve the diagnosis, treatment, and prevention of ...

About the Role The Health Intelligence team is at the forefront of integrating modern AI and LLMs into the Oura experience, transforming how members interact with and learn from their data. We are ...

INTELLIGENCE ANALYST Overview: As an Intelligence Analyst, you'll be responsible for providing the ... Key Healthcare Benefits : TRICARE Health Plan : As a member of the U.S. Army, you and your family ...

INTELLIGENCE ANALYST Overview: As an Intelligence Analyst, you'll be responsible for providing the ... Key Healthcare Benefits : TRICARE Health Plan : As a member of the U.S. Army, you and your family ...

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Health Intelligence information

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$45.5K

$104.6K

$144K

How much do health intelligence jobs pay per year?

As of Jun 21, 2026, the average yearly pay for health intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

Are intelligence jobs high paying?

Health intelligence jobs, which involve analyzing health data and supporting healthcare decision-making, tend to offer competitive salaries that increase with experience, education, and certifications such as health informatics or data analysis. These roles often require strong analytical skills and familiarity with health information systems, and salaries can vary based on the organization and location.

What are some entry level jobs in health informatics?

Entry-level jobs in health informatics include roles such as health informatics technician, data analyst, or clinical support specialist. These positions often require basic knowledge of healthcare systems, electronic health records (EHR), and data management tools, and may offer on-the-job training or certification opportunities.

What is the highest paying job in the health industry?

In the health industry, specialized roles such as healthcare executives, anesthesiologists, and surgeons tend to have the highest salaries. These positions require advanced education, extensive experience, and often certification or licensing, with salaries often exceeding $200,000 annually.

What are some common challenges Health Intelligence professionals face when integrating new technologies into healthcare settings?

Health Intelligence professionals often encounter challenges such as ensuring data privacy and compliance with healthcare regulations, integrating new technologies with legacy systems, and fostering collaboration between IT and clinical staff. Navigating the complexities of health data interoperability and managing stakeholder expectations are also common hurdles. Successful professionals in this field stay current with industry standards and prioritize clear communication to bridge technical and clinical perspectives.

What is the difference between Health Intelligence vs Health Data Analyst?

AspectHealth IntelligenceHealth Data Analyst
Required CredentialsBachelor's degree in health informatics, public health, or related field; certifications like Certified Health Data Analyst (CHDA) are commonBachelor's degree in health informatics, statistics, or related field; certifications like CHDA are also common
Work EnvironmentHealthcare organizations, government agencies, research institutionsHospitals, clinics, healthcare companies, research firms
Employer & Industry UsageUsed for strategic planning, policy development, and health trend analysisFocuses on data collection, analysis, and reporting to improve patient outcomes

Health Intelligence professionals analyze health data to inform policy and strategic decisions, while Health Data Analysts focus on collecting and interpreting data to support clinical and operational improvements. Both roles require similar credentials and often work in healthcare settings, but their primary focus differs—strategic insights versus data analysis execution.

What medical careers are in the CIA?

Medical careers in the CIA include roles such as Medical Officer, which involves providing healthcare to agency personnel and conducting medical evaluations. These positions typically require medical degrees, relevant certifications, and security clearances, and may involve working in secure facilities or overseas environments.

What are the key skills and qualifications needed to thrive as a Health Intelligence Analyst, and why are they important?

To thrive as a Health Intelligence Analyst, you need strong analytical skills, data interpretation abilities, and a background in public health or epidemiology, often supported by a relevant degree. Proficiency in data analytics tools such as SAS, R, or Python, as well as experience with health information systems, is typically required. Excellent communication, critical thinking, and attention to detail are vital soft skills for translating complex health data into actionable insights. These competencies are crucial for informing public health decisions, identifying health trends, and supporting evidence-based policy making.

What is Health Intelligence?

Health Intelligence refers to the use of data analysis, technology, and strategic insights to improve healthcare outcomes, public health, and operational efficiency within health systems. Professionals in this field gather and analyze health-related data to identify trends, predict outbreaks, and support decision-making for organizations, governments, and healthcare providers. Health Intelligence combines expertise in public health, data science, and informatics to inform policies, optimize resources, and enhance patient care.
More about Health Intelligence jobs
What cities are hiring for Health Intelligence jobs? Cities with the most Health Intelligence job openings:
What states have the most Health Intelligence jobs? States with the most job openings for Health Intelligence jobs include:
Software Engineer II - Bioinformatics R&D - Remote

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT • On-site, Remote

Full-time

Posted 12 days ago


Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
Sema4 is seeking a talented, self-motivated Software Engineer II - Bioinformatics R&D to contribute to cutting-edge translational bioinformatics and clinical product development. As a member of the R&D Bioinformatics department, you will act as a critical member of the Sema4 clinical and research ecosystem focused on innovation, reliability, and quality analysis of high-throughput data at an unprecedented scale. You will use advanced cloud computing technologies to do big data analytics. You will be part of an interdisciplinary team that develops computational methods and pipelines to interpret large-scale human genome and transcriptome sequencing data to understand mutations and mutation processes in cancer and reproductive health and to translate that understanding to clinical utility. You will develop systems for integrating novel informatics and genomics tools and methodologies into clinical products and practices.
RESPONSIBILITIES
  • Carry out software design, coding, testing, debugging, and documentation
  • Automate existing analysis workflows, migrate existing workflows to cloud platforms, and develop new workflows and pipelines for clinical and research projects
  • Develop, implement, and follow best practices in software development, code versioning, software testing, and deployment
  • Collaborate closely with scientists, clinicians, and product managers to design, engineer, and implement analytics pipeline solutions in the Amazon AWS cloud environment
  • Deliver high-quality, well-tested software to the production bioinformatics team for use in clinical products
  • Contribute to bioinformatics research analysis
  • Communicate effectively with collaborators (computational and bioinformatics scientists on R&D and production teams, IT/HPC, clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs
  • Train and provide support for bioinformatics scientists and other team members in internally developed best practices for software development, testing, and software development lifecycle (SDLC) policies

QUALIFICATIONS
  • M.S. in Computer Science, Computer Engineering, Bioinformatics, Computational Biology, or related fields. B.S. plus equivalent experience will be considered
  • 2+ years of post-graduate software development experience
  • Working in a team, self-motivation, ability to manage multiple tasks simultaneously, ability to solve problems independently
  • Possess strong understanding of computer science fundamentals, algorithms, and software engineering best practices
  • Strong coding proficiency in Python and R programming languages or similar. Experience with multiple coding languages such as Java/Scala is preferred.
  • Programming experience in Unix/Linux environment
  • Experience with Docker or similar software container platform
  • Hands-on experience working with NGS and bioinformatics tools will be a plus, especially GATK and WDL and common NGS data formats (VCF, BAM)
  • Experience working with cloud computing infrastructures will be a plus, especially on Amazon AWS and DNAnexus
  • Developing codebases using distributed version control tools (especially Git) and software issue tracking systems (especially Jira)
  • Excellent communication and interpersonal skills needed for working in an interdisciplinary team of scientists, engineers, and clinicians
  • Well-versed in the art of effective technical communication, especially graphical communication, about systems design and high-complexity datasets