Summary

Texas Children's Hospital is on the lookout for a skilled Senior Data Analytics Associate to become a vital part of our dynamic team. In this crucial role, you will take the lead in architecting, crafting, and deploying sophisticated analytical and statistical models, aiming to bolster both clinical outcomes and strategic business decisions. Additionally, your expertise will be instrumental in aiding cutting-edge research endeavors aimed at uncovering novel genes associated with diseases.

Job Duties

• Engineer and refine predictive models and algorithms that will inform clinical choices, guide business strategy, and assist in research initiatives aimed at identifying novel genes associated with diseases. 
• Translate complex data into actionable insights, presenting these findings to key stakeholders through clear and compelling visualizations and presentations.
• Consistently track and assess the efficacy of the predictive models and algorithms, proactively suggesting and implementing enhancements whenever necessary. 
• Remain at the forefront of data science and machine learning advancements, integrating the latest methodologies and innovations to address tangible challenges in the field.
• Delve into extensive datasets, employing advanced statistical methodologies and machine learning algorithms to distill, analyze, and interpret the data. This process involves not just the extraction of meaningful patterns and trends but also the formulation of predictions and the discovery of actionable insights from complex data structures.
• Engage in proactive collaboration with a multidisciplinary team comprising healthcare professionals, research experts, and business executives. The goal of these partnerships is to uncover and seize opportunities where data can be leveraged to yield insights. This collaborative effort entails understanding the unique challenges and objectives of each stakeholder, and then conceptualizing, developing, and implementing tailored data-driven solutions. These solutions aim to optimize clinical outcomes, accelerate research breakthroughs, and drive strategic business initiatives, ultimately leading to informed decision-making and enhanced operational efficiency.

Minimum Qualifications

• Bachelor's degree.  Four years of relevant experience may substitute for degree requirement. 
• Four years of relevant experience.

Preferred Qualifications

• Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.
• At least 3 years of experience in developing and implementing predictive models and algorithms.
• Strong programming skills in Python or R.
• Knowledge of machine learning algorithms, statistical modeling, and data visualization techniques.
• Experience with data analysis tools such as SQL, Tableau, or Power BI.
• Strong communication and collaboration skills.
• Experience working in a healthcare or life sciences environment is a plus.