At the Houston Methodist-Rice Digital Health Institute (DHI), we are revolutionizing healthcare through innovative research and data science. By collaborating with interdisciplinary teams of clinicians, engineers, and researchers, we are creating cutting-edge digital health solutions that transform patient care. The Digital Health Institute is committed to advancing bio-signal processing, risk prediction, precision medicine, computational biology, and much more to improve outcomes for patients worldwide.
As a Research Data Scientist, you will play a pivotal role in this mission, applying your expertise to complex healthcare datasets and driving innovations that directly impact the future of healthcare. If you’re passionate about using data science to improve patient outcomes and eager to contribute to groundbreaking healthcare innovations, this is the perfect role for you.
What You’ll Be Doing:
- Data Analysis & Modeling: Apply advanced data science techniques to healthcare datasets, including EMR, bio-signals, imaging, and computational biology, to derive actionable insights that will inform clinical decisions and research.
- Collaboration: Work alongside clinical teams, engineers, and researchers to co-create predictive models, risk algorithms, and healthcare solutions that can be deployed in real-world clinical settings.
- Scalable Solutions: Contribute to the development of scalable predictive analytics, machine learning models, and other advanced solutions that support precision medicine and personalized healthcare.
- Research Support: Analyze health data and conduct statistical analyses, exploratory data analysis (EDA), and feature engineering to support ongoing clinical and research initiatives.
- Stakeholder Engagement: Translate complex data findings into clear, understandable insights for key stakeholders, including clinicians, hospital administration, and research teams.
- Innovation: Partner with various stakeholders across Houston Methodist and Rice University to ensure the effective application of data science research and its transition into real-world healthcare solutions.
Key Responsibilities:
- Drive the analysis of health care data, applying both basic and advanced statistical methodologies, to extract insights and inform clinical decisions.
- Help implement data-driven solutions that address complex healthcare challenges, such as improving patient outcomes, optimizing hospital operations, and advancing clinical research.
- Ensure the accuracy, consistency, and timeliness of data input and results. Review and resolve discrepancies as they arise.
- Build and maintain relationships with key stakeholders to ensure effective communication of data findings and implementation of actionable insights.
- Collaborate closely with clinicians, researchers, and hospital staff to identify areas for improvement and introduce data-driven solutions that enhance care delivery and clinical outcomes.
Required Qualifications:
- Education: Master’s or Doctoral degree in Computer Science, Clinical Informatics, Public Health, Engineering, or a related field. Alternatively, an MD with experience in computing, informatics, and statistics will also be considered.
- Experience: At least two years of experience in healthcare data analytics and/or database management within a healthcare organization.
- Technical Skills: Strong proficiency in statistical modeling, data analytics, and using tools such as Python, R, SQL, or SAS for data analysis.
- Data Integration: Experience with healthcare data integration in a Health IT environment and a deep understanding of clinical and research databases.
- Communication: Ability to explain complex data insights in a clear, understandable way to non-technical stakeholders, such as clinicians and healthcare administrators.
- Problem-Solving: Strong analytical skills with the ability to tackle difficult problems and translate data into actionable recommendations for the healthcare field.
Preferred Qualifications:
- Health IT & Software: Experience with implementing and managing Health IT software, as well as knowledge of clinical process mapping and healthcare analytics.
- Research Experience: Experience in clinical, research, and/or healthcare administration and a passion for advancing the field of digital health.
Why Join Us?
At Houston Methodist, we offer an inspiring and dynamic environment where you can make a real impact in transforming healthcare. This is your chance to contribute to groundbreaking digital health innovations, collaborate with leading experts in the field, and directly improve patient care.
- Cutting-Edge Research: Work on pioneering projects that are at the forefront of healthcare innovation.
- Interdisciplinary Collaboration: Partner with clinicians, researchers, engineers, and healthcare leaders to shape the future of healthcare.
- Growth Opportunities: Build your career at the intersection of data science and healthcare, with opportunities for learning, mentorship, and development.
Benefits & Perks:
- Comprehensive health benefits, including medical, dental, and vision coverage
- Paid time off and a flexible work schedule
- Retirement plans with employer matching
- Access to continuous learning and professional development resources
- Collaborative work environment that fosters innovation and creativity
Houston Methodist is an Equal Opportunity Employer.
We are committed to building a diverse and inclusive workplace, where people from all backgrounds can thrive. If you're ready to contribute to life-changing healthcare innovations and take the next step in your career, apply today and join us in shaping the future of healthcare through data science
