Jobs and Careers

Lead Data Scientist - Clinical

Washington, United Statesfull_timeVerifiedPosted 18 Aug 2023

About the role

Company Overview:

CaryRx is seeking a highly skilled and innovative Data Scientist to join our team. As a Data Scientist, you will play a pivotal role in leveraging data-driven insights to transform healthcare accessibility and delivery. You will apply advanced analytical techniques to uncover patterns, generate actionable insights, and drive informed decision-making across various facets of our business. Your expertise will contribute to the optimization of our processes, the enhancement of user experiences, and the overall advancement of our mission.

Position Overview:

Key Responsibilities:

Data Analysis and Modeling:
- Utilize advanced statistical analysis, machine learning, and data mining techniques to extract valuable insights from complex pharmacy-related datasets.
- Develop predictive and prescriptive models focused on medication adherence, patient outcomes, and their impact on healthcare services optimization.
Data Collection and Preparation:
- Gather, cleanse, and preprocess diverse data sources, ensuring data quality and reliability specifically related to medication adherence, patient outcomes, and pharmacy operations.
- Collaborate with data engineers to establish efficient data pipelines tailored to support analysis of pharmacy-centric datasets.
Pattern Recognition and Visualization:
- Identify patterns, trends, and correlations in large datasets, translating findings into visualizations and reports for stakeholders.
- Translate findings into visually compelling reports and visualizations, making insights accessible to non-technical stakeholders.
Predictive Analytics:
- Construct and enhance predictive models that forecast trends in medication adherence, patient health outcomes, and their influence on the broader healthcare landscape.
- Collaborate with cross-functional teams to integrate predictive insights into decision-making processes.
Continuous Improvement:
- Monitor model performance and validity, iterating and refining models as new data becomes available.
- Stay up-to-date with emerging data science methodologies, techniques, and technologies.
Collaboration and Communication:
- Collaborate closely with business analysts, software developers, and other stakeholders to translate data insights into actionable solutions.
- Present findings, recommendations, and insights to both technical and non-technical audiences.

Requirements

Minimum Qualifications:

Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
Proven experience as a Data Scientist or similar role, with a minimum of 3-5 years of relevant experience.
Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (pandas, NumPy, etc.).
Strong understanding of statistical analysis, machine learning algorithms, and data modeling techniques.
Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) to effectively communicate insights.

Preferred Qualifications:

Knowledge of healthcare industry data, electronic health records, and medical informatics.
Experience with big data technologies such as Hadoop, Spark, or distributed computing frameworks.
Strong understanding of natural language processing (NLP) and its applications in healthcare data analysis.
Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and data storage solutions.
Experience with deep learning frameworks (TensorFlow, PyTorch) for complex data modeling tasks.
Solid foundation in experimental design, hypothesis testing, and A/B testing methodologies.
Demonstrated ability to work independently and collaborate effectively in cross-functional teams.

Benefits