4,054 Patient Data jobs in the United States

Transform healthcare with us.

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring-working alongside leading health systems to drive real change.

This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.

Join us in shaping the future of healthcare.

Job Summary:

Qualified Health is seeking a Senior Healthcare Data Analyst to serve as the critical bridge between clinical concepts and technical data implementation. In this role, you'll combine deep healthcare domain expertise with analytical rigor to design and implement data mappings that ensure our AI platform accurately represents clinical reality. You'll work directly with health system partners to understand their data structures, develop comprehensive quality frameworks, and translate complex clinical workflows into standardized data models that power our platform's intelligence.
Key Responsibilities:

• Clinical Concept Mapping: Translate complex clinical concepts and workflows into explicit data element mappings across diverse source systems, ensuring semantic accuracy and clinical validity
• Query Development: Design and implement sophisticated SQL queries that conform source data to our Qualified Data Model while preserving clinical meaning and context
• Data Quality Leadership: Develop, maintain, and execute comprehensive QC checklists and validation frameworks to ensure data integrity across all clinical domains
• Client Partnership: Work directly with health system data teams, clinical informaticists, and IT departments to understand source schemas, reconcile mapping discrepancies, and optimize data extraction processes
• Schema Reconciliation: Lead technical discussions with customer teams to resolve data mapping conflicts, standardize terminology, and ensure consistent interpretation of clinical data elements
• Documentation & Standards: Create detailed mapping documentation, maintain data dictionaries, and establish standardized approaches for clinical data interpretation across EHR systems
• Cross-functional Collaboration: Partner with data engineers, clinical advisors, and product teams to ensure technical implementations align with clinical requirements and regulatory standards
• Continuous Improvement: Monitor data quality metrics, identify systematic issues, and recommend process improvements to enhance data accuracy and completeness
• Training & Knowledge Transfer: Develop training materials and conduct sessions for both internal teams and client organizations on proper data mapping and quality validation techniques

Required Qualifications:

• 5+ years of experience in healthcare data analysis with demonstrated expertise in clinical data mapping and EHR data structures
• Deep clinical domain knowledge including understanding of clinical workflows, medical terminology, and healthcare delivery processes
• Advanced SQL proficiency with experience writing complex queries against healthcare databases and EHR systems
• EHR Systems Expertise: Hands-on experience with major EHR platforms (Epic, Cerner, AllScripts, or others) and understanding of their underlying data models
• Healthcare Data Standards: Working knowledge of FHIR, HL7, ICD-10, CPT, SNOMED, and other clinical coding systems
• Data Quality Experience: Proven track record developing and implementing data validation frameworks and quality assurance processes
• Client-facing Skills: Strong ability to work directly with health system stakeholders, translate technical concepts for clinical audiences, and manage complex data reconciliation projects
• Problem-solving Capabilities: Demonstrated ability to troubleshoot complex data mapping issues and develop creative solutions for non-standard data formats
• Communication Skills: Excellent written and verbal communication with ability to document complex mappings and present findings to varied technical and clinical audiences
• Bachelor's degree in Health Informatics, Healthcare Administration, Data Science, or related field

Desirable Skills:

• Clinical Background : Clinical training, HIM certification, or formal healthcare informatics education
• FHIR Implementation Experience : Hands-on experience with FHIR mapping and transformation projects
• Epic Certification : Cogito, Caboodle, Clarity, or Chronicles training and certification
• Regulatory Knowledge : Understanding of HIPAA, HITECH, and healthcare data governance requirements
• Analytics Tools : Proficiency in Python, R, Tableau, or similar analytical platforms
• Project Management : Experience leading cross-functional data mapping initiatives
• Master's degree in relevant field
• Professional certifications in health informatics (RHIA, CHPS, or similar)

Technical Environment:

You'll work with healthcare data from diverse sources including:

• Epic (Clarity, Chronicles, FHIR APIs)
• Cerner, AllScripts, and other major EHR platforms
• Claims data (CMS, commercial payers)
• Clinical registries and specialty systems
• FHIR R4 and legacy HL7 formats

Impact & Growth Opportunity:

As a Senior Healthcare Data Analyst at Qualified Health, you'll directly influence how our AI platform interprets and leverages clinical data from major health systems. Your expertise in clinical data mapping will be fundamental to ensuring our platform delivers accurate, meaningful insights that improve patient care. This role offers significant growth potential as we expand across diverse healthcare organizations and clinical use cases.

Why Join Qualified Health?

This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.

Our Commitment to Diversity

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Pay & Benefits: The pay range for this role is between $120,000 and $160,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

**12521BR**
**Title:**
Sr. Manager, Clinical Data Management
**Job Description:**
The Senior Manager, CDM oversees clinical data management activities across multiple studies from study start-up through study closure. This includes prioritizing projects in support of corporate goals and objectives and developing and/or enhancing data management processes to ensure complete, accurate, high quality clinical data and adhering to Good Clinical Practices and FDA regulations. Job duties:
+ Develop and implement SOPs to ensure GCP/ICH compliance for data management, database operations, clinical report writing, case report forms, and associated procedures.
+ Participate on corporate global clinical research teams ensuring that colleagues are updated on all relevant issues.
+ Assist in budget planning and resource allocation as it relates to data management.
+ Develop and implement clinical trial database, including CRF development and all aspects of data management.
+ Manage, plan, and coordinate the activities of the data management team members.
+ Oversee data management vendors, ensuring requirements are met and consistent.
+ Audit data management vendors, as appropriate.
+ Assure regulatory compliance of vendors with company SOPs, FDA and ICH guidelines and other applicable regulations and guidelines.
+ Review and approve CDM documentation such as eCRF specifications, eCRF completion guidelines, annotated CRFs, data validation specifications, data transfer agreements and data management plans.
+ Review study documents, e.g. clinical study protocols, statistical analysis plans, Mock Tables, Figures and Listings (TFL) shells.
+ Participate in the development of EDC User Acceptance Test (UAT) and custom report specifications as needed.
+ Plan, manage and coordinate all data management activities to ensure consistency of clinical data process across studies.
+ Work collaboratively with biostatistics, programming and other functions to meet project deliverables and timelines for clinical data acquisition, quality checking and reporting. Contribute to activities supporting audits & inspection readiness and regulatory inspections.
+ Performs additional responsibilities as assigned.
Salary Range
$140,500-$84,500 Financial compensation packages may be higher or lower than what is listed, and will ultimately depend on factors including relevant experience, internal equity, skillset, knowledge, geography, education, business needs and market demand
**Auto req ID:**
12521BR
**Location MV:**
Aliso Viejo, California, USA
**Department Name:**
807-CONFIDENCE
**Qualifications:**
1. Bachelor's degree in Science, Computer Science, or equivalent combination of training and experience.
2. Minimum seven (7) years of clinical data- management experience in the pharmaceutical, device or CRO setting.
3. Previous supervisory experience.
4. Proven ability to prioritize and manage multiple tasks with conflicting deadlines in support of corporate goals and objectives.
5. Experience reviewing study planning documents such as Edit Check Specs, UAT scripts, Data Management Plans, Data Transfer Plans.
**Desired Qualifications**
1. Well organized, analytical and self-confident person.
2. Solid experience in developing, implementing, and validating data management systems and Electronic Data Capture (EDC).
3. Strong communication skills and interpersonal skills, ability to coach and mentor.
4. Knowledgeable in GCP standards, FDA and ICH guidelines, and recommended CDM Best Practices.
5. Hands-on extensive knowledge and experience with development, validation, execution, maintenance, documentation, and archival of clinical data targeted for regulatory submission.
6. Able to work independently, as well as part of a team.
EEO
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law.
Fair Chance Ordinance
If you are applying to perform work for Terumo Neuro in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here a list of all material job duties of the specific job position which Terumo Neuro reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
Terumo Neuro will consider for employment qualified job applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance.
**External-Facing Title:**
Sr. Manager, Clinical Data Management
**Posting Country:**
US - United States
**Salary Range:**
140,500- 184,500 Financial compensation packages may be higher or lower than what is listed, and will ultimately depend on factors including relevant experience, internal equity, skillset, knowledge, geography, education, business needs and market demand
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law.

**Working with Us**
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .
**Functional Area Description**
Clinical Data Management key focus is to ensure data quality, integrity & completeness of all data types (eCRF and non eCRF) collected in BMS clinical trials from study start to database lock.
**Position Summary**
The Senior Manager, Clinical Data Management is a leadership role considered essential to the sustainability and success of the BMS R&D pipeline. This role may report into Director, Clinical Data Management or Associate Director, Clinical Data Management
This is an office-based in BMS New Jersey locations.
**Position Responsibilities**
Responsibilities will include, but are not limited to:
**Project Management and Leadership**
+ Provides clinical data management leadership within the study team to align on and drive data collection requirements for one or more complex clinical development projects
+ Efficiently plans, coordinates, and delivers complete, high quality and reliable clinical trial data in a timely manner for assigned projects
+ Responsible for end-to-end clinical data management activities and serves as a primary point of contact for internal and external study team members
+ Provides strong quality and project oversight over third party vendor responsible for data management deliverables
+ Takes a leadership role to gather content and integration requirements for EDC and close collaboration with partners supporting other data collection systems (eCOA, External Data, Safety Gateway). Enforces data standard conventions and quality expectations for clinical data per defined processes
+ Authors, reviews/revises DM related study plans including Data Quality Management Plan, Data Validation Plans, Data Review Plan, eCRF Completion Guidelines and other study documents to ensure quality and standardization
+ Chairs Data Quality Review meetings with cross functional study team members to ensure on-going review of trial data currency, quality and completeness
+ Represents DM on cross-functional project teams & submission Teams
+ Lead or support the Health Authority inspections and audits
+ Provides coaching and quality oversight of junior Data Management Leads
**FSP/CRO/Vendor Oversight**
+ May act as core member of the study team and provides FSP/CRO/Vendor oversight for end-to-end Data Management activities, manages data currency throughout the trial, and overall monitoring DM deliverables according to the Service Level Agreement (SLA)
**Continuous improvement initiatives**
+ Provides the relevant support and input to continuous improvement activities within clinical data management
+ Provides support for CAPA implementation as required
**Degree/ Experience Requirements**
+ Bachelor's Degree required with an advanced degree preferred
+ At least 5 years of relevant industry experience. Project management certification (e.g. PMP) is desirable.
**Key Competency Requirements**
+ Able to work collaboratively on multi-disciplinary project teams and develop productive relationships with external vendors
+ Sound knowledge of Clinical Drug Development Process, FDA/ICH guidelines and industry standard practices regarding data management
+ Strong knowledge and experience of EDC systems (Medidata RAVE preferred); demonstrated knowledge of Microsoft Office skills and well versed in industry trends and emerging technologies supporting data collection
+ Strong project management; Exhibits expertise in metrics analysis and reporting methodologies
+ Excellent oral and written communication skills. Communicate effectively with senior management and cross-functional teams
+ Knowledge of submission requirements, (e.g. New Drug Application (NDA)/Biologics License Application (BLA)/Market Authorization Application (MAA))
**Travel Required:** 5-10% Industry Conferences, Investigator Meetings, Regulatory Inspections (as needed)
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
**Compensation Overview:**
Madison - Giralda - NJ - US: $143,590 - $73,998
Princeton - NJ - US: 143,590 - 173,998
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.
**Uniquely Interesting Work, Life-changing Careers**
With a single vision as inspiring as Transforming patients' lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
**On-site Protocol**
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit careers.bms.com/ ( eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
**Company:** Bristol-Myers Squibb
**Req Number:** R
**Updated:** :45:27.747 UTC
**Location:** Madison-NJ
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.

**Working with Us**
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .
**Functional Area Description**
Clinical Data Management key focus is to ensure data quality, integrity & completeness of all data types (eCRF and non eCRF) collected in BMS clinical trials from study start to database lock.
**Position Summary**
The Senior Manager, Clinical Data Management is a leadership role considered essential to the sustainability and success of the BMS R&D pipeline. This role may report into Director, Clinical Data Management or Associate Director, Clinical Data Management
This is an office-based in BMS New Jersey locations.
**Position Responsibilities**
Responsibilities will include, but are not limited to:
**Project Management and Leadership**
+ Provides clinical data management leadership within the study team to align on and drive data collection requirements for one or more complex clinical development projects
+ Efficiently plans, coordinates, and delivers complete, high quality and reliable clinical trial data in a timely manner for assigned projects
+ Responsible for end-to-end clinical data management activities and serves as a primary point of contact for internal and external study team members
+ Provides strong quality and project oversight over third party vendor responsible for data management deliverables
+ Takes a leadership role to gather content and integration requirements for EDC and close collaboration with partners supporting other data collection systems (eCOA, External Data, Safety Gateway). Enforces data standard conventions and quality expectations for clinical data per defined processes
+ Authors, reviews/revises DM related study plans including Data Quality Management Plan, Data Validation Plans, Data Review Plan, eCRF Completion Guidelines and other study documents to ensure quality and standardization
+ Chairs Data Quality Review meetings with cross functional study team members to ensure on-going review of trial data currency, quality and completeness
+ Represents DM on cross-functional project teams & submission Teams
+ Lead or support the Health Authority inspections and audits
+ Provides coaching and quality oversight of junior Data Management Leads
**FSP/CRO/Vendor Oversight**
+ May act as core member of the study team and provides FSP/CRO/Vendor oversight for end-to-end Data Management activities, manages data currency throughout the trial, and overall monitoring DM deliverables according to the Service Level Agreement (SLA)
**Continuous improvement initiatives**
+ Provides the relevant support and input to continuous improvement activities within clinical data management
+ Provides support for CAPA implementation as required
**Degree/ Experience Requirements**
+ Bachelor's Degree required with an advanced degree preferred
+ At least 5 years of relevant industry experience. Project management certification (e.g. PMP) is desirable.
**Key Competency Requirements**
+ Able to work collaboratively on multi-disciplinary project teams and develop productive relationships with external vendors
+ Sound knowledge of Clinical Drug Development Process, FDA/ICH guidelines and industry standard practices regarding data management
+ Strong knowledge and experience of EDC systems (Medidata RAVE preferred); demonstrated knowledge of Microsoft Office skills and well versed in industry trends and emerging technologies supporting data collection
+ Strong project management; Exhibits expertise in metrics analysis and reporting methodologies
+ Excellent oral and written communication skills. Communicate effectively with senior management and cross-functional teams
+ Knowledge of submission requirements, (e.g. New Drug Application (NDA)/Biologics License Application (BLA)/Market Authorization Application (MAA))
**Travel Required:** 5-10% Industry Conferences, Investigator Meetings, Regulatory Inspections (as needed)
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
**Compensation Overview:**
Madison - Giralda - NJ - US: $143,590 - $73,998
Princeton - NJ - US: 143,590 - 173,998
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.
**Uniquely Interesting Work, Life-changing Careers**
With a single vision as inspiring as Transforming patients' lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
**On-site Protocol**
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit careers.bms.com/ ( eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
**Company:** Bristol-Myers Squibb
**Req Number:** R
**Updated:** :45:27.747 UTC
**Location:** Madison-NJ
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.

Job Opportunity At Memorial Hermann

At Memorial Hermann, we pursue a common goal of delivering high quality, efficient care while creating exceptional experiences for every member of our community. When we say every member of our community, that includes our employees. We know that when our employees feel cared for, heard and valued, they are inspired to create moments that exceed expectations, while prioritizing safety, compassion, personalization and efficiency. If you want to advance your career and contribute to our vision of creating healthier communities, now and for generations to come, we want you to be a part of our team.

Job Description

Position is responsible for analyzing complex and unstructured healthcare data sets using advanced statistical methods for use in data driven decision making. The candidate is responsible for supporting a cross-functional team and providing in-depth data insights for complex healthcare problems that can be approached with advanced analytic techniques. They should also collect, explore, and extract insights from structured and unstructured data for performance and quality improvement in a healthcare setting. The ideal candidate should have experience with the EPIC EMR system. They should also have the ability to write complex SQL queries, design Tableau dashboards, and have knowledge of other visualization platforms such as Microsoft Power BI. Knowledge of healthcare comparative analytics platforms such as Vizient, Leapfrog, or US News and World Report is preferred.

Minimum Qualifications

Education: Masters degree with minimum of five (5) years professional experience is required; Professional experience in medical informatics, healthcare information technology/finance/revenue cycle data management, or EHR data management is preferred; In lieu of Masters degree, 10+ years of relevant professional experience may be substituted

Licenses/Certifications: (None)

Experience / Knowledge / Skills:

• Performs research, analysis, and modeling on organizational data
• Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions. Provides findings and analysis for use in decision making
• Handles moderately complex issues and problems, and refers more complex issues to higher-level staff
• Possesses solid working knowledge of subject matter; May provide leadership, coaching, and/or mentoring to subordinate group
• Strong programming skills in addition to working knowledge and experience of statistical analysis tools
• Demonstrated problem solving, analytical reasoning and decision-making skills
• Demonstrates ability to identify and seek needed information to perform problem/situation analysis
• Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources
• Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required
• Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines
• Understanding of database management tools
• Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques
• Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences
• Ability to work under minimal supervision in a fast-paced multidisciplinary environment
• Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues
• Superior customer service in the form of first-rate work product and project management
• Strong ability to manage challenging client situations
• Strong ability to troubleshoot and recommend solutions
• Strong ability to translate complex information for a wide range of stakeholders
• Effective oral and written communication skills

Principal Accountabilities

• Work collaboratively with cross-functional teams to draw insight and intelligence from large datasets and electronic medical records.
• Provide in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools.
• Lead and manage the data management of CCR-related reporting sources, including data schemas, data architecture, data quality, data security, data governance, data extraction, and loading and transforming from multiple resources.
• Develop and test hypotheses and communicate findings in clear, precise and actionable manner to project and leadership teams.
• Respond to CCR-related data requests and create ad-hoc queries to support projects and planning.
• Work closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes.
• Assist with the evaluation of data analytic vendors and tools.
• Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service.
• Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff.
• Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann's service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.
• Other duties as assigned.

Job DescriptionJob DescriptionAbout the Client

Our client is a rapidly growing technology company at the intersection of healthcare and artificial intelligence. Founded by a team of industry veterans and academic leaders, this organization is on a mission to make high-quality clinical data more accessible for innovation in AI-driven healthcare. They are building a next- platform to support the development, training, and validation of responsible AI models with a strong emphasis on data quality and patient safety.

About the Role

The company is looking for a skilled Data Scientist to help shape, validate, and refine large-scale healthcare datasets for use in clinical research and AI product development. This role plays a crucial part in harmonizing complex, multimodal data from diverse healthcare environments into usable, well-documented formats for clinical and AI teams.

Responsibilities

• Design and maintain robust data transformation pipelines using tools such as dbt and Snowflake, prioritizing data integrity and transparency.

• Normalize and integrate various types of clinical data—including structured records, unstructured notes, imaging, and more—into a unified ontological model.

• Collaborate with engineering teams to optimize de-identification and ETL workflows from multiple cloud-hosted healthcare data sources.

• Partner with NLP experts to develop methods for extracting structured clinical information from text-based sources.

• Apply CI/CD and version control best practices within analytics codebases.

• Translate complex research and modeling requirements into scalable data engineering solutions in collaboration with technical stakeholders and external partners.

Requirements

Required:

• At least 3 years of experience in analytics or data engineering.

• Strong proficiency with SQL and dbt.

• Bachelor's degree in a technical or quantitative field.

• Hands-on experience with cloud platforms (especially Snowflake and/or AWS).

• Competency in Python for data wrangling and feature .

• Familiarity with AI/ML workflows and deployment pipelines.

• Commitment to clean, modular, and well-documented code using software engineering best practices.

• Comfort working in a dynamic, fast-paced startup setting.

• Clear communication skills and the ability to advocate for robust data practices.

• Passion for advancing healthcare through trustworthy and scalable data infrastructure.

:

• Experience with healthcare data standards such as HL7, FHIR, or DICOM.

• Background in academic medical research.

• Visualization experience using tools like Tableau, Power BI, Hex, or Python libraries.

• Exposure to integrating LLM tools and frameworks (e.g., RAG, agent workflows) within analytics pipelines.

Benefits & Why Join

• Competitive compensation package: base salary in the $145K–$160K range plus equity.

• Opportunity to work at the forefront of AI and healthcare innovation.

• Collaborative and mission-driven team environment.

• Flexibility to work remotely or from the company’s office in New York.

• A chance to make a real-world impact by shaping the future of clinical AI and healthcare research.

Job DescriptionJob DescriptionAbout the Client

Our client is a rapidly growing technology company at the intersection of healthcare and artificial intelligence. Founded by a team of industry veterans and academic leaders, this organization is on a mission to make high-quality clinical data more accessible for innovation in AI-driven healthcare. They are building a next- platform to support the development, training, and validation of responsible AI models with a strong emphasis on data quality and patient safety.

About the Role

The company is looking for a skilled Data Scientist to help shape, validate, and refine large-scale healthcare datasets for use in clinical research and AI product development. This role plays a crucial part in harmonizing complex, multimodal data from diverse healthcare environments into usable, well-documented formats for clinical and AI teams.

Responsibilities

• Design and maintain robust data transformation pipelines using tools such as dbt and Snowflake, prioritizing data integrity and transparency.

• Normalize and integrate various types of clinical data—including structured records, unstructured notes, imaging, and more—into a unified ontological model.

• Collaborate with engineering teams to optimize de-identification and ETL workflows from multiple cloud-hosted healthcare data sources.

• Partner with NLP experts to develop methods for extracting structured clinical information from text-based sources.

• Apply CI/CD and version control best practices within analytics codebases.

• Translate complex research and modeling requirements into scalable data engineering solutions in collaboration with technical stakeholders and external partners.

Requirements

Required:

• At least 3 years of experience in analytics or data engineering.

• Strong proficiency with SQL and dbt.

• Bachelor's degree in a technical or quantitative field.

• Hands-on experience with cloud platforms (especially Snowflake and/or AWS).

• Competency in Python for data wrangling and feature .

• Familiarity with AI/ML workflows and deployment pipelines.

• Commitment to clean, modular, and well-documented code using software engineering best practices.

• Comfort working in a dynamic, fast-paced startup setting.

• Clear communication skills and the ability to advocate for robust data practices.

• Passion for advancing healthcare through trustworthy and scalable data infrastructure.

:

• Experience with healthcare data standards such as HL7, FHIR, or DICOM.

• Background in academic medical research.

• Visualization experience using tools like Tableau, Power BI, Hex, or Python libraries.

• Exposure to integrating LLM tools and frameworks (e.g., RAG, agent workflows) within analytics pipelines.

Benefits & Why Join

• Competitive compensation package: base salary in the $145K–$160K range plus equity.

• Opportunity to work at the forefront of AI and healthcare innovation.

• Collaborative and mission-driven team environment.

• Flexibility to work remotely or from the company’s office in New York.

• A chance to make a real-world impact by shaping the future of clinical AI and healthcare research.

Job DescriptionJob DescriptionAbout the Client

Our client is a rapidly growing technology company at the intersection of healthcare and artificial intelligence. Founded by a team of industry veterans and academic leaders, this organization is on a mission to make high-quality clinical data more accessible for innovation in AI-driven healthcare. They are building a next- platform to support the development, training, and validation of responsible AI models with a strong emphasis on data quality and patient safety.

About the Role

The company is looking for a skilled Data Scientist to help shape, validate, and refine large-scale healthcare datasets for use in clinical research and AI product development. This role plays a crucial part in harmonizing complex, multimodal data from diverse healthcare environments into usable, well-documented formats for clinical and AI teams.

Responsibilities

• Design and maintain robust data transformation pipelines using tools such as dbt and Snowflake, prioritizing data integrity and transparency.

• Normalize and integrate various types of clinical data—including structured records, unstructured notes, imaging, and more—into a unified ontological model.

• Collaborate with engineering teams to optimize de-identification and ETL workflows from multiple cloud-hosted healthcare data sources.

• Partner with NLP experts to develop methods for extracting structured clinical information from text-based sources.

• Apply CI/CD and version control best practices within analytics codebases.

• Translate complex research and modeling requirements into scalable data engineering solutions in collaboration with technical stakeholders and external partners.

Requirements

Required:

• At least 3 years of experience in analytics or data engineering.

• Strong proficiency with SQL and dbt.

• Bachelor's degree in a technical or quantitative field.

• Hands-on experience with cloud platforms (especially Snowflake and/or AWS).

• Competency in Python for data wrangling and feature .

• Familiarity with AI/ML workflows and deployment pipelines.

• Commitment to clean, modular, and well-documented code using software engineering best practices.

• Comfort working in a dynamic, fast-paced startup setting.

• Clear communication skills and the ability to advocate for robust data practices.

• Passion for advancing healthcare through trustworthy and scalable data infrastructure.

:

• Experience with healthcare data standards such as HL7, FHIR, or DICOM.

• Background in academic medical research.

• Visualization experience using tools like Tableau, Power BI, Hex, or Python libraries.

• Exposure to integrating LLM tools and frameworks (e.g., RAG, agent workflows) within analytics pipelines.

Benefits & Why Join

• Competitive compensation package: base salary in the $145K–$160K range plus equity.

• Opportunity to work at the forefront of AI and healthcare innovation.

• Collaborative and mission-driven team environment.

• Flexibility to work remotely or from the company’s office in New York.

• A chance to make a real-world impact by shaping the future of clinical AI and healthcare research.

Job DescriptionJob DescriptionAbout the Client

Our client is a rapidly growing technology company at the intersection of healthcare and artificial intelligence. Founded by a team of industry veterans and academic leaders, this organization is on a mission to make high-quality clinical data more accessible for innovation in AI-driven healthcare. They are building a next- platform to support the development, training, and validation of responsible AI models with a strong emphasis on data quality and patient safety.

About the Role

The company is looking for a skilled Data Scientist to help shape, validate, and refine large-scale healthcare datasets for use in clinical research and AI product development. This role plays a crucial part in harmonizing complex, multimodal data from diverse healthcare environments into usable, well-documented formats for clinical and AI teams.

Responsibilities

• Design and maintain robust data transformation pipelines using tools such as dbt and Snowflake, prioritizing data integrity and transparency.

• Normalize and integrate various types of clinical data—including structured records, unstructured notes, imaging, and more—into a unified ontological model.

• Collaborate with engineering teams to optimize de-identification and ETL workflows from multiple cloud-hosted healthcare data sources.

• Partner with NLP experts to develop methods for extracting structured clinical information from text-based sources.

• Apply CI/CD and version control best practices within analytics codebases.

• Translate complex research and modeling requirements into scalable data engineering solutions in collaboration with technical stakeholders and external partners.

Requirements

Required:

• At least 3 years of experience in analytics or data engineering.

• Strong proficiency with SQL and dbt.

• Bachelor's degree in a technical or quantitative field.

• Hands-on experience with cloud platforms (especially Snowflake and/or AWS).

• Competency in Python for data wrangling and feature .

• Familiarity with AI/ML workflows and deployment pipelines.

• Commitment to clean, modular, and well-documented code using software engineering best practices.

• Comfort working in a dynamic, fast-paced startup setting.

• Clear communication skills and the ability to advocate for robust data practices.

• Passion for advancing healthcare through trustworthy and scalable data infrastructure.

:

• Experience with healthcare data standards such as HL7, FHIR, or DICOM.

• Background in academic medical research.

• Visualization experience using tools like Tableau, Power BI, Hex, or Python libraries.

• Exposure to integrating LLM tools and frameworks (e.g., RAG, agent workflows) within analytics pipelines.

Benefits & Why Join

• Competitive compensation package: base salary in the $145K–$160K range plus equity.

• Opportunity to work at the forefront of AI and healthcare innovation.

• Collaborative and mission-driven team environment.

• Flexibility to work remotely or from the company’s office in New York.

• A chance to make a real-world impact by shaping the future of clinical AI and healthcare research.