Job Description:

We are seeking a highly skilled Data Scientist to lead a pivotal public health research initiative that utilizes an artificial intelligence-driven methodology for community contact tracing and exposure notification. This innovative project is designed specifically to bolster disease control measures within medical facilities. You will be leveraging existing electronic health record data and advanced cloud computing resources to automate and improve the tracking of patient-provider interactions while predicting potential pathogen spread within healthcare environments. Your expertise will be essential in developing synthetic, time-sensitive electronic health records and implementing robust privacy-preserving mechanisms. This role requires a deep understanding of statistical methods and machine learning algorithms to create predictive models that enhance public health outcomes.

IT Languages:

• Python
• R
• SQL

In this role, you will engage in a variety of tasks aimed at advancing our understanding and capabilities in public health data science.:

Utilize an open-source patient data generation tool to create synthetic electronic health records that simulate patient interactions while evaluating privacy mechanisms;; Automate the tracking of patient-provider interactions using EHR data to develop a dynamic graph representing potential transmission pathways;; Implement tokenization techniques to facilitate data analysis while ensuring the protection of patient and provider privacy;; Apply Graph Modeling and Learning Linked Prediction to devise predictive models for the transmission of infectious diseases;; Employ unsupervised learning methods to train and refine predictive models effectively;; Develop advanced analytics to assign risk scores based on established risk thresholds;; Lead the creation of an alert system predicated on defined risk scores with the capability to reverse tokenization under policy and human oversight

Spoken Languages:

• English

Skillset:

• Statistical methods
• Machine learning algorithms
• Data visualization techniques
• Synthetic-data generation
• Predictive modeling
• Graph Neural Network
• Privacy tokenization
• Numerical solutions for differential equations
• Docker
• AWS

Soft Skills:

• Leadership
• Communication
• Problem-solving
• Team collaboration

Qualifications:

• PhD in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, Public Health, Epidemiology, Biostatistics, or related fields
• Master’s degree with significant research contributions may be considered

Years of Experience:

6

Location:

United States

Job Benefits:

• Competitive salary
• Flexible working hours
• Remote work options
• Professional development opportunities
• Health and wellness programs

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• Our company fosters a collaborative and innovative environment where team members are encouraged to contribute ideas and solutions that impact public health positively. We value diversity, inclusivity, and the continuous pursuit of knowledge and improvement.

Opportunities For Advancement:

• Leadership roles in data science, Opportunities to lead interdisciplinary research projects, Potential for publication in scientific journals, Networking opportunities with public health officials

Visa Sponsorship:

Available