Description
Who We Are
Claritas Rx is a digital health venture that brings clarity to the challenges of specialty biopharmaceutical products in the marketplace. In today’s highly complex specialty networks, our mission is to illuminate the patient experience beyond the clinical trial. Claritas Rx leverages a proprietary technology platform and deep manufacturer expertise to automate and integrate channel, commercial, and clinical data and help biopharmaceutical companies generate actionable business insights. Our work uncovers the real-world variables impacting patient access, duration of therapy, and other metrics key to commercial success, making a real impact on patient healthcare.
The Position
Claritas Rx has a nimble Silicon Valley start-up culture. We are looking to build a strong team of domain experts that can help scale a premier channel management solution. At Claritas Rx, Data Scientists work with our Customer Success and product teams to design, build, and deploy advanced analytics models to support our product and customers’ business needs. Data Scientists also support Customer Success in analytics consulting engagements and develop custom features. Claritas Data Scientists perform a range of activities that include data analytics, model building, presentation and delivery of results. Our Data Scientists are active advisors to both our customers and our product team: they are data curious, enjoy analytical problem solving, are learning-oriented and enjoy coaching and collaborating with other team members to solve a variety of business problems.
The ideal candidate for this position is a self-starter, intellectually curious, result-oriented and thrives in a fast-paced entrepreneurial environment. Key Accountabilities
- In collaboration with the Customer Success team, perform data analysis and reporting, create visualizations and presentations to answer business questions and support analytical consulting revenue
- Collaborate with Customer Success and Product teams to productize and deploy analytical features and tools to enhance product value and meet customer needs.
- Learn and apply existing Department data science tools, methodologies, and processes to analyze and answer business questions
- With some guidance from Manager or senior team members, complete work independently within reasonable timeline; Take initiatives to perform quality check to ensure the accuracy and completeness of work deliverables
- Follow Department protocols and best practices in completing tasks and duties
- Contribute to the development of cutting-edge analytics solutions for our platform; leverage data science technologies, including machine learning, to build or improve patient journey predictive analytics tools and models
- Maintain and improve core analytical data models and data science algorithms
- Proactively research and study new techniques and tools to resolve challenges and improve outcomes.
Required Qualifications
- BS in Data Science, Mathematics, Statistics, Business Analytics, Engineering, Operations Research, or other STEM fields, with 0-2 years’ experience in analytics or data science function at pharma/biotech manufacturer, health tech start-up, or technology company
- Able to apply statistical programming language such as Python and SQL to analyze large volumes of data to derive insights and produce data visualizations.
- Strong academic background in statistical concepts and methodologies, including but not limited to: statistical distribution, A/B testing, experimental design, hypothesis testing.
- Strong academic background in statistical modeling methods and techniques, including logistic regression, multivariate linear regression, variable feature selection.
- Solid understanding about relational data; able to exam, clean and transform datasets programmatically using Python and/or SQL for subsequent analysis and modeling.
- Good written and oral communication, able to clearly explain work process and logic to peers and supervisors clearly
- Strong problem-solving skills and drive for success
Additional Preferred Skills and Experience
- Academic background in computer science
EducationRequired: BS in Data Science, Mathematics, Engineering, Operations Research, Statistics, Business Analytics or other STEM fields.
Join Us
We are seeking to add new expertise and perspective to our strong team of experienced professionals. We aspire to a culture of accelerated professional development through, shared learning and collaboration; a respectful and fun work environment; and employee empowerment through the effective use of technology and tools. In addition to our great environment, we offer a salary between $75,000 and $110,000, benefits package and the opportunity to make a significant impact on a first-in-industry digital health solution. Please send a cover letter along with your resume when applying to the position of interest. Claritas Rx embraces diversity, equality, and transparency. We are committed to building a team that comprises a variety of backgrounds, perspectives, and talents. We believe the more inclusive we are, the better we are.Email careers@claritasrx.com
