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Python Healthcare Jobs in Houston, TX (NOW HIRING)

Fuze Health

Data Engineer

Texas City, TX

$140K - $175K/yr

At Fuze Health, we put patients first and tirelessly address the most pressing needs in healthcare. ... Experienced in SQL-based and python data manipulation with large datasets * Thrive in a dynamic ...

Tech Firefly

Principal Full Stack Engineer

Houston, TX · On-site

$128K - $172K/yr

Previous experience within the Healthcare sector is highly preferred. * Expert-level knowledge of Java Microservices and Python. * Hands-on experience with Google Cloud Platform (Google Cloud ...

SynergenX Health Holdings LLC

Data Engineer II

Houston, TX · On-site

$130K - $145K/yr

Monday-Friday | Fully Onsite Build the Future of Healthcare Data SynergenX Health is transforming ... Build reusable Python frameworks for automation, orchestration, and data transformation. * Support ...

SynergenX

Junior Data Engineer

Houston, TX · On-site

$110K - $125K/yr

Develop basic automation using Python. * Assist with API integrations and data imports. * Document ... Azure DevOps (Preferred) Preferred Experience * Healthcare data * Enterprise reporting * Data ...

Fuze Health

Staff Software Engineer

Texas City, TX

By blending deep technical expertise in Ruby on Rails, Python, PostgreSQL, and AWS with a strong understanding of healthcare systems, you will directly influence how millions of patients access vital ...

ACCLiiVE

Azure Data Engr

Houston, TX · On-site

$52.50 - $65.25/hr

Azure Data Factory (ADF) Azure Databricks Python Spark SQL & PySpark Azure Synapse, Azure SQL ... Gas, Utilities, Healthcare and many more. Acclive is focused on providing customer centric ...

Gainwell Technologies LLC

Expert AI Engineer

Houston, TX · On-site

$147K - $210K/yr

Data Engineering & Processing - Work with large healthcare datasets, performing data preprocessing ... Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. * Strong problem ...

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How much do python healthcare jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python healthcare in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on in a Python Healthcare role?

As a Python Healthcare professional, you may work on projects such as developing data pipelines to handle electronic health records, creating algorithms to analyze patient data, building machine learning models for clinical predictions, or implementing interoperable healthcare applications. You'll often be part of interdisciplinary teams, collaborating with data scientists, clinicians, and IT specialists to translate healthcare needs into effective technical solutions. On a typical day, you might clean and preprocess large datasets, write and optimize Python scripts, and troubleshoot software integration issues. Gaining hands-on experience with healthcare datasets and championing data privacy are also key aspects of the role, making it both challenging and rewarding.

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

To thrive in a Python Healthcare role, you need strong programming skills in Python, knowledge of healthcare data standards (like HL7 or FHIR), and experience with data analysis or machine learning, often supported by a degree in computer science, health informatics, or a related field. Familiarity with databases, cloud platforms, and healthcare information systems, as well as certifications in health IT or analytics, are commonly required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with clinical and technical teams. These skills are crucial for developing reliable solutions that improve patient outcomes and streamline healthcare operations.

What is a Python Healthcare job?

A Python Healthcare job involves using Python programming to develop software solutions in the healthcare industry. This can include data analysis, automation, electronic health record (EHR) management, medical imaging, and AI-driven diagnostics. Professionals in this field work with healthcare data, ensuring compliance with regulations like HIPAA while improving efficiency and patient outcomes. They may collaborate with data scientists, medical professionals, and IT teams to create innovative healthcare tools and applications.

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Research Scientist II - Health and Clinical Outcomes Research

Research Scientist II - Health and Clinical Outcomes Research

UTMB Health

Galveston, TX • On-site

Other

Re-posted 11 days ago

UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

265th of 882 rated healthcare providers

Job description

DEPT MARKETING STATEMENT:

UTMB's new Center for Health and Clinical Outcomes Research (H-COR) seeks Research Scientists to advance decision-grade evidence from real-world data to study and understand human health. H-COR leverages Epic EHR (Clarity/Caboodle and Cosmos), TriNetX, Medicare and other administrative data. H-COR has an interest in pairing outcomes research with secure, principled integration of high-dimensional modalities (e.g., transcriptomics, proteomics, pathogen genomics). Also of interest is the utilization of novel data sources including those derived from social media, mobile phones, wearables, and other digital sources. Researchers at H-COR collaborate across all five UTMB schools

JOB DESCRIPTION:     
Conducts innovative scientific investigation by developing theories and devising scientific methods and procedures to apply scientific principles, theories and research in projects related to the mission of UTMB. Committed to the discovery of new innovative biomedical and health services knowledge leading to increasingly effective and accessible health care. Assures competence as a fully trained scientist in a specific discipline or area of expertise. 


ESSENTIAL JOB FUNCTIONS:

  • Leading and contributing to high-impact health and clinical outcomes research 
  • Planning and performing advanced data analyses using UTMB's exceptional data infrastructure, with particular emphasis on electronic health record (EHR) data including EPIC, EPIC Cosmos, TriNetX, and Medicare administrative datasets
  • Building transparent cohort definitions and phenotypes using ICD-10/PCS, CPT/HCPCS, LOINC, and RxNorm
  • Implementing modern causal-inference strategies (e.g., target-trial emulation, robust confounding control, time-to-event and longitudinal models, principled handling of missingness, falsification and sensitivity analyses)
  • Collaborating across UTMB's schools on defined research programs
  • Contributing to abstracts, manuscripts, and grant applications as PI/Co-I or key personnel
  • Integrating clinical timelines with multi-omics and other high-dimensional data while preserving clinical interpretability and privacy
  • Presenting research at professional meetings and conferences
  • Participating in H-COR's monthly works-in-progress seminars


MINIMUM QUALIFICATIONS:
Ph. D, M.D, D.O., or D.V.M in related field and one year of related experience.


PREFERRED QUALIFICATIONS: 

  • PhD or equivalent doctoral degree in a relevant discipline (health services research, epidemiology, biostatistics, data science, computer science, or a closely related field) 
  • A track record in health and clinical outcomes methods 
  • Demonstrated expertise analyzing clinical and population-health data with specific experience in EHR analytics 
  • Proficiency with large healthcare databases (Epic, Epic Cosmos, TriNetX, Medicare) 
  • Fluency in at least two of R, Python, SAS, and SQL 
  • Excellent scientific writing and communication 
  • Evidence of peer-reviewed publications commensurate with career stage 
  • Experience with OMOP and HL7 FHIR data models 
  • Hands-on practice with target-trial emulation and advanced propensity and longitudinal methods 
  • Clinically oriented NLP and time-aware feature extraction 
  • Familiarity with multi-omics data structures and cautious EHR-omics linkage
  • Experience in HPC or cloud settings (e.g., TACC, Azure, AWS) and workflow engines that promote end-to-end reproducibility 
  • Mentorship of analysts or trainees 
  • A record of effective, cross-disciplinary collaboration in an academic health-sciences environment


SALARY:
Commensurate with experience. 

EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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