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Clinical Informatics Analyst Jobs in Connecticut

SEMA4

Scientist- Bioinformatics R&D -REMOTE

Stamford, CT · On-site +1

... clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs. QUALIFICATIONS * PhD in Bioinformatics, Biomedical Informatics ...

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All JobsClinical Informatics Analyst JobsClinical Informatics Analyst Jobs in Connecticut

Clinical Informatics Analyst information

See Connecticut salary details

$40.4K

$81.4K

$118.9K

How much do clinical informatics analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for clinical informatics analyst in Connecticut is $81,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $95,100.00 per year, depending on experience, location, and employer.

What is a clinical informatics analyst?

A Clinical Informatics Analyst is a healthcare professional who specializes in managing and analyzing health information systems and data to improve patient care and operational efficiency. They bridge the gap between clinical staff and IT departments by ensuring that electronic health records (EHRs) and other digital tools are optimized and effectively used. Their responsibilities often include data analysis, workflow optimization, system implementation, and user training. By leveraging technology, Clinical Informatics Analysts help healthcare organizations enhance patient outcomes, comply with regulations, and streamline processes.

What do clinical informatics analysts do?

Clinical informatics analysts evaluate and optimize healthcare information systems to improve patient care and operational efficiency. They analyze data, develop workflows, and implement electronic health record (EHR) solutions, often using tools like SQL and healthcare standards such as HL7. Strong analytical skills and knowledge of healthcare processes are essential for this role.

What are the key skills and qualifications needed to thrive as a clinical informatics analyst, and why are they important?

To thrive as a Clinical Informatics Analyst, you need a solid background in healthcare, data analysis, and informatics, often supported by a degree in health informatics, information systems, or a related field. Familiarity with electronic health record (EHR) systems, data visualization tools, and certifications like Registered Health Information Administrator (RHIA) or Certified Professional in Healthcare Information and Management Systems (CPHIMS) is typically required. Strong analytical thinking, problem-solving, and communication skills help bridge the gap between clinical staff and IT professionals. These competencies are vital for optimizing healthcare technology, supporting clinical workflows, and improving patient outcomes.

What is the difference between Clinical Informatics Analyst vs Healthcare Data Analyst?

AspectClinical Informatics AnalystHealthcare Data Analyst
Required CredentialsBachelor's degree in health informatics, healthcare, or related field; certifications like CPHIMS are commonBachelor's degree in health informatics, data science, or related; certifications like Certified Health Data Analyst (CHDA) are common
Work EnvironmentHospitals, clinics, healthcare organizations, focusing on clinical systemsHealthcare organizations, research institutions, focusing on data analysis and reporting
Employer & Industry UsageUsed in clinical settings to optimize health IT systemsUsed across healthcare sectors for data-driven decision making

The Clinical Informatics Analyst primarily focuses on implementing and optimizing clinical information systems within healthcare settings, while the Healthcare Data Analyst emphasizes analyzing healthcare data to support decision-making. Both roles require similar educational backgrounds and certifications but differ in their core focus and work environment.

How does a clinical informatics analyst collaborate with healthcare providers to improve patient care workflows?

Clinical Informatics Analysts work closely with physicians, nurses, and other clinical staff to understand their workflow challenges and identify opportunities for improvement. They act as a bridge between IT teams and healthcare providers, translating clinical needs into technical solutions, such as optimizing electronic health record (EHR) systems or implementing data-driven decision support tools. Regular meetings, feedback sessions, and on-site training are common, ensuring that technology enhancements align with clinical best practices and ultimately improve patient care. This collaborative environment often leads to a visible impact on the efficiency and quality of healthcare delivery.

What can I do with a clinical informatics analyst degree?

A clinical informatics analyst degree prepares individuals to analyze healthcare data, optimize electronic health record systems, and improve clinical workflows. Graduates can work in hospitals, healthcare organizations, or health IT companies, often utilizing tools like data analytics software and requiring knowledge of healthcare regulations. The role typically involves problem-solving, data management, and collaboration with clinical staff.
What are popular job titles related to Clinical Informatics Analyst jobs in Connecticut? For Clinical Informatics Analyst jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Clinical Informatics Analyst jobs in Connecticut look for? The top searched job categories for Clinical Informatics Analyst jobs in Connecticut are:
What cities in Connecticut are hiring for Clinical Informatics Analyst jobs? Cities in Connecticut with the most Clinical Informatics Analyst job openings:
Clinical Informatics Analyst jobs near you
Infographic showing various Clinical Informatics Analyst job openings in Connecticut as of August 2026, with employment types broken down into 2% As Needed, 72% Full Time, 16% Part Time, 3% Temporary, and 7% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $81,439 per year, or $39.2 per hour.

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT • On-site, Remote

Full-time

Re-posted 2 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

Apply