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Senior Data Scientist
Claritas Rx San Francisco, CA
Full Time | Retail 7 Months Ago
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Claritas Rx is Hiring a Remote Senior Data Scientist

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, Lead 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. Lead Data Scientists also support Customer Success in analytics consulting engagements and develop custom features. Claritas Lead Data Scientists perform a range of activities that include data analytics, model building, presentation and delivery of results. Our Lead 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

  • Own the development and delivery of Department and Company goals in data science domain, fully accountable for project methodology, quality, and impact
  • Define data science project scope, timeline, key milestones, methodologies, and success criteria; drive results with outstanding quality, agility and scalability
  • In collaboration with the Customer Success team, develop and deliver data science consulting projects to drive 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
  • Design and develop cutting-edge analytics solutions for our platform; leverage data science technologies, including machine learning, to build patient journey predictive analytics tools and models 
  • Develop, expand and maintain core analytical data models and data science algorithms
  • Build or adapt innovative solutions to expand core data science assets and capabilities
  • Provide data science thought leadership on complex Department and Company goals, influencing business partners and leaders across functions
  • Mentor or guide junior team members in accomplishing tasks and professional growth

Required Qualifications

  • 7 years experience in analytics or data science function at pharma/biotech manufacturer, health tech start-up, or technology company
  • Proficient in applying Python to analyze large volumes of data to answer business questions, and develop statistical/machine learning models
  • In-depth knowledge and experience with common statistical and machine learning concepts, tools and resources (e.g. statistical distribution, A/B testing, optimization, resampling, probability theory, classification predictive modeling)
  • A creative approach to analytical problem solving and a relentless passion for quality and innovation
  • Excellent written and oral communication
  • Qualification in at least one of the following two domains:
    • [Consulting focus]: ability to construct coherent, concise and polished analytical presentations for complex analyses, and present analyses effectively to influence and inspire internal and external stakeholders
    • [Product focus]: ability to architect, design, and develop production-grade analytical data model and data science code assets to expand scalability and flexibility for our solutions

Additional Preferred Skills and Experience

  • Tableau development experience
  • Familiarity with healthcare data sources (transactional, clinical, behavioral), and the healthcare industry in general
  • Expertise in commercial/clinical analytics
  • Experience in scalable data science infrastructure and technology such as Snowflake, Dask, Ray

Education

Required:

MS in Data Science, Mathematics, Engineering, Operations Research, Statistics or Business Analytics

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 competitive salary and benefits package and the oppotunity 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

Job Summary

JOB TYPE

Full Time

INDUSTRY

Retail

POST DATE

09/26/2022

EXPIRATION DATE

12/12/2022

WEBSITE

claritasrx.com

HEADQUARTERS

SOUTH SAN FRANCISCO, CA

SIZE

25 - 50

FOUNDED

2011

TYPE

Private

CEO

MIKE FITZGIBBONS

REVENUE

<$5M

INDUSTRY

Ancillary Healthcare

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About Claritas Rx

Claritas Rx is a SaaS-based firm that provides data and analytics of specialty and rare disease patients for pharmaceutical companies.

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