Introduction to blithequark and the Industry
blithequark is a leading organization in the private sector, dedicated to leveraging cutting-edge technology and innovative methodologies to drive business growth and improvement. The healthcare industry, in particular, is experiencing a significant transformation, with a growing emphasis on data-driven decision-making and real-world evidence (RWE) analysis. As a pioneer in this field, blithequark is seeking a highly skilled and motivated Data Scientist to join its team, working on a part-time basis, to contribute to the development of RWE and drive business success.
Job Summary
The successful candidate will be responsible for creating genuine proof (RWE) through advanced analysis and innovative methodologies in the clinical trials space. As a key member of the Scientific Issues team, the Data Scientist will play a crucial role in influencing internal and external decision-making through the use of creative data science and technology. This is an exceptional opportunity for a talented professional to lead sophisticated data analysis, address critical business questions, and shape the future of blithequark's RWE capabilities.
Key Responsibilities
- Mine raw data sets to deliver normalized, analysis-ready patient partners from in-house data resources or licensed platforms
- Analyze and interpret results, and help shape analysis strategy
- Collaborate with other members of the blithequark Clinical Trial team to deliver meaningful insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests
- Clean, transform, and store data into a unified data lake for future analysis and broader team use
- Perform data mining and statistical analysis to analyze RWE/RWD and discover new insights regarding patient populations and treatment outcomes
- Support the development of real-world data, analysis, and platform capabilities, applying advanced analytics and tools to resolve scientific questions from biopharmaceutical companies
- Collaborate on the design and execution of outcomes research studies
- Ensure high-quality, comprehensive, and readily interpretable predictions from RWE studies and analyses
- Build dashboards, analysis, and reports for internal and external use
- Conduct a reasonable level of effort on new real-world data suppliers, vendors, and drive RWD quality evaluations to inform project decisions
Essential Qualifications
To be considered for this exciting opportunity, candidates must possess:
- 2 years of experience with R, Python, or SQL
- Experience in designing and executing effective and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data
- Knowledge of common statistical testing methods, including generalized linear models, clustering and classification, decision trees, solo learning, time series analysis, and survival analysis
- Experience handling large data from multiple data sources
- Experience handling protected patient health information
- Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools
Preferred Qualifications
While not essential, the following qualifications are highly desirable:
- Expertise in EMR/Health IT, disease libraries, and insurance claims databases
- Proficiency in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
- Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR)
- Experience handling alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and/or arrangements
- Experience with trial design, Bayesian modeling, sequential data, computational statistics
- Understanding of statistical and machine learning techniques, ability to continue self-learning of technical and non-technical skills
Career Growth Opportunities and Learning Benefits
At blithequark, we are committed to the growth and development of our employees. As a Data Scientist, you will have access to a range of training and development opportunities, including:
- Professional development programs to enhance your skills and knowledge
- Opportunities to work on high-impact projects and collaborate with cross-functional teams
- Access to cutting-edge technologies and tools
- A culture that encourages innovation, creativity, and experimentation
Work Environment and Company Culture
blithequark is a dynamic and innovative organization that values its employees and recognizes the importance of a positive work-life balance. As a part-time Data Scientist, you will enjoy:
- A flexible and remote work arrangement, allowing you to work from the comfort of your own home
- A collaborative and supportive team environment, with regular virtual meetings and check-ins
- A culture that prioritizes employee well-being, with access to wellness programs and resources
- A range of social and networking opportunities, including virtual events and team-building activities
Compensation, Perks, and Benefits
blithequark offers a competitive compensation package, including:
- A hourly rate of $27 per hour
- A range of benefits, including health insurance, retirement savings, and paid time off
- Access to exclusive discounts and perks, including technology and software discounts
- A recognition and reward program, acknowledging and rewarding outstanding performance and contributions
Conclusion
If you are a motivated and talented Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity at blithequark. With its commitment to innovation, employee growth, and well-being, blithequark is the perfect place to take your career to the next level. Don't miss out on this chance to join a dynamic and forward-thinking organization and contribute to the development of real-world evidence and data-driven decision-making. Apply now and become a part of the blithequark team!
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