Experienced Full Stack Data Scientist – Real-World Evidence (RWE) and Clinical Data Science

Are you a highly skilled data scientist with a passion for leveraging advanced analytics and technologies to drive business growth and improve patient outcomes? Do you have a strong background in data analysis, machine learning, and statistical modeling? If so, we invite you to join blithequark's Clinical Data Science team as a Data Scientist – RWE, where you will play a critical role in producing Real-World Evidence (RWE) to support biopharmaceutical RWE and medical trial requests.

About blithequark

blithequark is a leading healthcare company with a rich history of caring for communities. As part of blithequark Boots Alliance, Inc., we are committed to creating more joyful lives through better health. With over 170 years of experience, we operate nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, serving nearly 10 million customers every day. Our pharmacists play a vital role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that promote equitable access to care for the nation's medically underserved populations.

Job Responsibilities

As a Data Scientist – RWE, you will be responsible for producing high-quality, actionable insights from real-world data to support biopharmaceutical RWE and medical trial requests. Your key responsibilities will include:

• Developing and implementing advanced analytics and statistical models to analyze large datasets and identify trends and patterns
• Collaborating with cross-functional teams to design and execute studies, including data collection, analysis, and interpretation
• Developing and maintaining data visualizations and reports to communicate findings to stakeholders
• Ensuring high-quality, rigorous, and easily interpretable deliverables from RWE research and analyses
• Building dashboards, analytics, and reports for internal and external consumption
• Conducting due diligence on new real-world data companies and performing RWD quality checks to inform investment decisions

Key Skills and Qualifications

To be successful in this role, you will need:

• A Bachelor's degree or higher in a quantitative or computational field, such as computer science, mathematics, statistics, or engineering
• At least 4 years of experience in a quantitative or computational function, with a strong background in data analysis, machine learning, and statistical modeling
• Proficiency in programming languages such as R, Python, or SQL
• Experience with data visualization tools such as Tableau, Power BI, Alteryx, Spotfire, or other BI intelligence tools
• Knowledge of common statistical testing methods, including generalized linear models, classification and regression trees, decision trees, unsupervised learning, time series analysis, and survival analysis
• Experience processing large datasets from diverse data sources
• Experience working with covered patient health data
• Familiarity with at least one of the following: EMR/Health IT, disease registries, and claims databases

Preferred Qualifications

While not required, the following qualifications are highly desirable:

• A Ph.D. or Master's degree in a field such as statistics, biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field
• Expertise in EMR/Health IT, disease registries, and claims databases
• Familiarity with medical data standards, clinical terminologies, and managed vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
• Experience with Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence research or clinical trials (e.g., ISO, MDD/MDR, CFR)
• Experience working with alternative data sources and alternative methods of data collection, particularly those enabled by technology systems and/or solutions
• Experience with experimental design, Bayesian modeling, sequential data, computational statistics
• Understanding of data and systems learning techniques, ability to maintain self-learning of technical and non-technical skills

Benefits

As a valued member of our team, you will enjoy a comprehensive benefits package, including:

• Company-paid life insurance
• Medical, prescription drugs, dental, and vision coverage
• Retirement savings plan (401(k))
• Employee stock purchase plan
• Paid time off (PTO)
• Holidays
• Paid parental leave (PPL)
• Transportation benefit plan
• Employee store discount
• Voluntary life and personal accident insurance

How to Apply

If you are a motivated and detail-oriented data scientist with a passion for leveraging advanced analytics and technologies to drive business growth and improve patient outcomes, we encourage you to apply for this exciting opportunity. Please visit our website to submit your application and join our team of dedicated professionals at blithequark. Apply for this job