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Ehr Data Integrity Spec Jobs in San Ramon, CA (NOW HIRING)

... data integrity. • Customization of specifications including user interfaces, business object definition and corresponding data structures, functional workflows and custom JAVA modules. • Review ...

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Ehr Data Integrity Spec information

What is an EHR data integrity specialist?

An EHR Data Integrity Specialist is a professional responsible for ensuring the accuracy, consistency, and reliability of electronic health record (EHR) data within healthcare organizations. They review, audit, and correct patient records, monitor data entry processes, and implement best practices to maintain high data quality standards. Their work supports patient safety, regulatory compliance, and effective clinical decision-making by making sure that all health information is complete and correct.

What are the key skills and qualifications needed to thrive as an EHR data integrity specialist?

To thrive as an EHR Data Integrity Specialist, you need a strong background in health information management, data analysis, and a thorough understanding of medical terminology, often supported by a relevant associate or bachelor's degree. Familiarity with electronic health record (EHR) systems like Epic or Cerner, as well as knowledge of data quality tools and regulatory standards such as HIPAA, is essential. Exceptional attention to detail, problem-solving abilities, and effective communication skills help ensure accuracy and facilitate collaboration with clinical and IT teams. These skills are crucial for maintaining accurate patient records, supporting compliance, and ensuring the reliability of critical healthcare data.

What are some common challenges faced by EHR data integrity specialists and how can they effectively address them?

EHR Data Integrity Specialists often encounter challenges such as identifying and correcting data discrepancies, ensuring consistent data entry across multiple systems, and maintaining compliance with regulatory standards. These professionals must stay vigilant for duplicate records, missing information, or incorrect data, which can impact patient care and reporting. Effective communication with clinical and IT teams is crucial to quickly resolve issues and implement best practices for data accuracy. Staying updated on evolving healthcare regulations and participating in ongoing training also helps address these challenges proactively.

What is the difference between Ehr Data Integrity Spec vs Ehr Data Analyst?

AspectEhr Data Integrity SpecEhr Data Analyst
CredentialsTypically requires healthcare IT certifications, data management trainingOften requires data analysis or healthcare informatics degrees
Work EnvironmentHealthcare facilities, IT departments, EHR system teamsHealthcare organizations, data teams, reporting departments
Employer & Industry UsageUsed in hospitals, clinics, healthcare IT companiesEmployed in healthcare, insurance, and health data analysis sectors

The Ehr Data Integrity Spec focuses on maintaining the accuracy and security of EHR data, ensuring compliance with standards. In contrast, the Ehr Data Analyst primarily analyzes healthcare data to generate insights and reports. While both roles require healthcare IT knowledge, the Integrity Specialist emphasizes data quality and security, whereas the Analyst emphasizes data interpretation and reporting.

What job categories do people searching Ehr Data Integrity Spec jobs in San Ramon, CA look for?

The top searched job categories for Ehr Data Integrity Spec jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Ehr Data Integrity Spec jobs?

Cities near San Ramon, CA with the most Ehr Data Integrity Spec job openings:

Infographic showing various Ehr Data Integrity Spec job openings in San Ramon, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Principal Scientist - Data Insights & Hypothesis Design

Redwood City, CA

Full-time

Re-posted 22 days ago


Key responsibilities

  • Conduct rigorous data evaluations, write technical code, and prototype new data offerings within the Tempus Data Model.

  • Translate complex client research objectives into actionable clinico-genomic data strategies and guide how to leverage datasets.

  • Evaluate datasets, perform User Acceptance Testing (UAT), and build data insight reports to support cross-functional teams.


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Principal Scientist - Data Insights & Hypothesis DesignPassionate about precision medicine and advancing the healthcare industry?Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.Position OverviewAs a Principal Scientist on the Data Insights and Hypothesis Design team, you will ensure the scientific coherence of Tempus' multimodal data platform while bridging the gap between complex molecular science and scalable data engineering.This position requires strong computational, statistical, and translational research skills, alongside a deep interest in reproducible science and artificial intelligence. You will serve as a cornerstone for expanding our multi-modal applications beyond our foundational oncology roots, actively spearheading scientific efforts to support emerging, large-scale datasets in neurology (Alzheimer's disease) and Immunology & Inflammation (I&I).Role Focus & Scientific ImpactIn this position, you will act as a highly specialized subject matter expert, anchoring our data strategy with deep domain expertise across multiple therapeutic areas. Your impact will be driven by a balance of hands-on technical execution such as data prototyping and code creation and the strategic delegation of modular tasks to effectively scale projects. While you will work closely with cross-functional teams to support go-to-market strategies with rigorous scientific insights and validation, your primary focus will remain on scientific excellence, enablement, and data integrity.Key Responsibilities
  • Data Evaluation & Prototyping: Conduct rigorous data evaluations, write technical code (SQL, R, Python), and prototype new data offerings within the Tempus Data Model (TDM). Deliver implementation-ready table and column specifications to seamlessly transition initial concepts into scalable, production-grade offerings.
  • Client Alignment & Scientific Advisory: Translate complex client research objectives across the drug discovery and development lifecycle into actionable clinico-genomic data strategies. Ensure seamless alignment between client hypotheses and Tempus capabilities, effectively matching the right datasets to their specific research needs and guiding how to best leverage them.
  • Cross-Functional Subject Matter Expertise: Serve as a core scientific authority across the organization. Evaluate datasets, perform User Acceptance Testing (UAT), and build data insight reports and capability demonstrations that empower various teams with scientifically validated evidence.
  • Cross-Domain Data Oversight: Support the continuous growth and scaling of Tempus' expanding clinical-genomic footprint across diverse disease domains, with an active focus on neurology and Immunology. Bring a holistic, cross-disciplinary view of human biology to profile and validate terabyte-scale datasets, leveraging a proven track record of scientific agility to seamlessly adapt, uncover novel biological patterns, and extract meaningful findings across varying disease areas.
Qualifications
  • Education & Experience: PhD in a quantitative, NGS-related discipline (e.g., Computational Biology, Genetics, Bioinformatics, Systems Biology) with 6+ years of industry experience across precision medicine, translational research, scientific product development, or related commercial and operational areas.
  • Domain Expertise: Deep expertise in at least one of oncology, neurology, or immunology. Additionally strong, demonstrable experience analyzing large-scale clinico-genomic datasets across multiple disease areas.
  • Data Engineering & Scale Architecture: Proven experience collaborating directly with data engineering and platform teams to build large-scale relational databases, design advanced SQL data models, and support the robust infrastructure needed to create and deploy massive, production-grade models.
  • Emerging AI & Foundational Modeling Knowledge: Active, up-to-date expertise with cutting-edge computational modeling, including experience leveraging foundation models, generative AI architectures, and agentic workflows to interpret and navigate complex biological data.
  • Multi-Omic & NGS Modalities: Deep expertise executing multi-omic analyses across a diverse spectrum of high-throughput sequencing applications and biotechnologies, including specialized NGS modalities such as single-cell sequencing, immunomics, metagenomics, and varied sequencing platforms.
  • Translational Impact: Proven experience bringing data to market and translatingscientific analyses into production-grade data products or clinical-facing solutions.
  • Programming: Proficiency in Python and/or R for reproducible scientific analysis, workflow development, and data visualization.
  • Strategic Leadership: Strong cross-functional communication skills with the ability to architect end-to-end execution plans, manage client expectations, and mentor technical peers through structured delegation.
CHI: $150,000-$200,000NYC/SF: $165,000-$225,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.