Introduction to blithequark and the Role
blithequark is a leading integrated healthcare, pharmacy, and retail company with a 170-year history of caring for communities. Our purpose is to create more joyful lives through better health. We are seeking an experienced Data Scientist to join our team, focusing on producing Real-World Evidence (RWE) via superior analytics and progressive processes inside the medical trials space. As a Data Scientist at blithequark, you will be a fundamental part of the Scientific Affairs group, driving internal and external decision-making through the application of advanced data technology and era.
Job Responsibilities
In this role, you will conduct state-of-the-art data analysis to assist in addressing critical business questions. Your key responsibilities will include:
- Converting raw data sets into standardized, evaluation-ready patient cohorts from in-house data assets or certified systems, examining and interpreting results, and assisting in shaping analytics strategy
- Partnering with other members of the blithequark Clinical Trial team to deliver actionable insights from real-world, clinical, and other data assets to support biopharmaceutical RWE and clinical trial requests
- Cleaning, transforming, and storing data into an integrated data lake for future analysis and broader team consumption
- Performing data mining and statistical analysis to investigate RWE/RWD to discover new insights concerning patient populations and treatment outcomes
- Supporting the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to address clinical questions from biopharmaceutical companies
- Collaborating on the design and execution of outcomes research studies
- Ensuring high-quality, rigorous, and without-difficulty 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 vendors and powering RWD quality tests to inform investment decisions
Essential Qualifications
To be successful in this role, you will need:
- A Bachelor's degree or graduate degree and a minimum of 4 years of experience in a quantitative or computational role
- 4 years of experience in R, Python, or SQL
- Experience in designing and executing strong and reproducible statistical analyses within the context of epidemiology and observational studies with healthcare data
- Knowledge of common statistical testing methods, including generalized linear models, class 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 of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI intelligence tools
Preferred Qualifications
Preferred candidates will have:
- A Ph.D. or Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field
- Expertise in EMR/Health IT, disease registries, and insurance claims databases
- Expertise in clinical data standards, clinical terminologies, and managed 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 research or clinical trials (e.g., ISO, MDD/MDR, CFR)
- Experience working on alternative data sources and alternative methods of clinical data collection, particularly those enabled by technology systems and/or solutions
- Experience with experimental design, Bayesian modeling, sequential data, computational statistics
- Understanding of machine learning and systems learning techniques, ability to maintain self-learning of technical and non-technical skills
Skills and Competencies
To excel in this role, you will need to possess:
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Ability to work in a fast-paced environment and prioritize multiple tasks
- Strong attention to detail and ability to maintain high-quality work
- Ability to learn and adapt to new technologies and systems
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:
- Ongoing training and development opportunities to enhance your skills and knowledge
- Opportunities to work on diverse projects and collaborate with cross-functional teams
- A supportive and inclusive work environment that encourages innovation and creativity
- Recognition and reward for outstanding performance and contributions
Work Environment and Company Culture
blithequark is a dynamic and innovative company that values diversity, equity, and inclusion. Our company culture is built on:
- A commitment to creating a positive and supportive work environment
- A focus on employee well-being and work-life balance
- A culture of innovation and experimentation
- A dedication to making a positive impact on the communities we serve
Compensation, Perks, and Benefits
As a Data Scientist at blithequark, you will be eligible for:
- A competitive salary of $26-35 per hour
- Company-paid life insurance
- Medical, prescription drugs, dental, and vision benefits
- Retirement savings plan – 401(k)
- Employee stock purchase plan
- Paid time off (PTO) and holidays
- Paid parental leave (PPL)
- Transportation benefit plan
- Employee store discount
- Voluntary life and personal accident insurance
Conclusion
If you are a motivated and experienced Data Scientist looking for a challenging and rewarding role, we encourage you to apply for this opportunity at blithequark. As a member of our team, you will have the chance to make a meaningful impact on the lives of our customers and patients, while also growing and developing your skills and career. Don't miss out on this exciting opportunity to join a leading healthcare company and take your career to the next level. Apply now to become a part of the blithequark team!
Apply Now