Experienced Data Scientist for Remote Real-World Evidence Research at blithequark

Unlock the Power of Data Science with blithequark

At blithequark, we're revolutionizing the healthcare industry through innovative data science solutions. As a leader in the retail pharmacy and healthcare sectors, we're committed to creating better lives through improved health outcomes. Our team is dedicated to harnessing the potential of real-world evidence (RWE) to inform decision-making and drive business growth. We're seeking an experienced Data Scientist to join our Scientific Affairs team and contribute to the development of cutting-edge analytics and data-driven insights.

Job Summary

As a Data Scientist at blithequark, you'll play a critical role in producing high-quality RWE through advanced analytics and innovative processes. You'll work closely with cross-functional teams to design and execute statistical analyses, develop data visualizations, and drive business outcomes. This is an exceptional opportunity to leverage your technical expertise and passion for data science to make a meaningful impact in the healthcare industry.

Key Responsibilities

• Develop and maintain standardized, analysis-ready patient cohorts from in-house data assets or certified systems, and interpret results to inform business decisions
• Collaborate with the blithequark Clinical Trial team to provide actionable insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests
• Design, develop, and maintain integrated data lakes for future analysis and broader team consumption
• Perform data mining and statistical analysis to identify new insights concerning patient populations and treatment outcomes
• Support the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to address clinical questions from biopharmaceutical companies
• Collaborate on the design and execution of outcomes research studies
• Ensure high-quality, rigorous, and easily interpretable deliverables from RWE research and analyses
• Build dashboards, analytics, and reports for internal and external consumption
• Conduct due diligence on new real-world data sources and power RWD quality assessments to inform investment decisions

Essential Qualifications

To succeed in this role, you'll need:

• A Bachelor's degree or graduate degree in a quantitative or computational field
• At least 4 years of experience in a quantitative or computational role
• 4 years of experience in R, Python, or SQL
• Experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational studies with healthcare data
• Knowledge of common statistical testing techniques, including generalized linear models, classification and discrimination, decision trees, unsupervised learning, time series analysis, and survival analysis
• Experience processing large data from diverse data sources
• Experience handling protected patient health information
• Knowledge of at least one business intelligence tool, such as Tableau, Power BI, Alteryx, or Spotfire

Preferred Qualifications

To take your application to the next level, consider the following preferred qualifications:

• A Ph.D. or Master's degree in a field such as statistics/biostatistics, computer science, mathematics, systems engineering, or biomedical engineering
• Expertise in EMR/Health IT, disease registries, and insurance claims databases
• Knowledge of clinical data standards, medical terminologies, and controlled 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
• Experience working with alternative data sources and alternative methods of clinical data collection, particularly those enabled by technology platforms and/or solutions
• Experience with experimental design, Bayesian modeling, sequential data, and computational statistics
• Understanding of machine learning techniques and the ability to maintain self-learning of technical and non-technical skills

What We Offer

At blithequark, we're committed to providing a comprehensive benefits package that supports your overall well-being and career growth. Our benefits include:

• Company-paid life insurance
• Medical, prescription, 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

Why Join blithequark?

At blithequark, we're passionate about harnessing the power of data science to drive business outcomes and improve healthcare outcomes. As a Data Scientist on our team, you'll have the opportunity to:

• Work on cutting-edge projects that leverage advanced analytics and innovative processes
• Collaborate with cross-functional teams to drive business outcomes
• Develop and maintain a high level of technical expertise in data science and analytics
• Contribute to the development of real-world evidence and data-driven insights that inform decision-making
• Enjoy a comprehensive benefits package and opportunities for career growth and development

Ready to Take the Next Step?

If you're a motivated and experienced Data Scientist looking to make a meaningful impact in the healthcare industry, we encourage you to apply for this exciting opportunity at blithequark. With a strong foundation in data science and a passion for driving business outcomes, you'll be well-positioned to succeed in this role and contribute to the company's continued growth and success.

Don't miss this chance to join our team and shape the future of healthcare through data-driven insights.