Verana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation – JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings. 

Existing Verana Health investors GV (formerly Google Ventures), Casdin Capital, and Brook Byers also joined the round, as well as notable new investors, including the Merck Global Health Innovation Fund, THVC, and Breyer Capital.

Our team is reinventing how medical research happens with data and technology. This is a company built by and for people who are looking to get out of their comfort zone and try new things, who want to learn and grow quickly, and who seek to be part of a mission-driven team committed to improving patient lives. Our headquarters are located in San Francisco and we have additional offices in Knoxville, TN and New York City with employees working remotely in AZ, CA, FL, GA, IL, MA, NC, NJ, NY, OR, PA, TN, TX, VA, WA, and WI.  All employees are required to have permanent residency in one of these states. Candidates who are willing to relocate are also encouraged to apply.

 We cannot currently sponsor H1-B or OPT visas at this time.

Role Description:

As Verana Health reinvents how research happens with data and technology in the healthcare space, we are growing our Quantitative Sciences team to solve complex real-world problems across multiple therapeutic areas, including urology, ophthalmology, and neurology.  We are looking for a Quantitative Scientist or Senior Quantitative Scientist that will help us build our ML/AI capabilities and work closely with clinical data derived from electronic health records in support of both internally driven research areas as well as commercial projects. We are looking for an individual that is experienced in using modern approaches for clinical signal extraction and interpretation of unstructured clinical notes.

This role will report directly to the Head of Quantitative Sciences. Built on the values of continuous learning, cross-functional collaboration, and rigorous scientific research, the Quantitative Sciences team strives to improve patient care by innovating at the intersection of real world data, clinical context, and methodology with our partners to ensure all available data is being used to in the most efficient, data-driven way possible.

Job Duties and Responsibilities:

Verana Health is looking for a Quantitative Scientist or Senior Quantitative Scientist with a background in health data analytics and experience leveraging ML/AI.

Responsibilities

• Be a hands-on individual contributor on the Quantitative Sciences team with a solid grasp of ML/AI approaches and their respective assumptions
• Work on commercial retrospective clinical studies leveraging real-world data, especially those that require ML/AI, through responsibilities such as creation of statistical analysis plans, implementation of analyses, development of algorithms in support of research objectives, and/or writing of publications
• Develop ML/AI prototypes to generate new clinically meaningful variables from unstructured clinical notes
• Collaborate cross-functionally with teams (e.g., Commercial, Product, Medical, Engineering/Technology, etc.) to translate clinical investigation questions into detailed data analytics requirements for internal and external projects

Basic Requirements:

• Master’s or doctorate in a quantitative discipline (e.g., biostatistics, data science, epidemiology, etc.) or equivalent practical experience
• 3+ years of hands-on experience with messy data (e.g., claims, electronic health records, outcomes data) and analytical methodologies
• Proficiency in frameworks like PyTorch, TensorFlow, and Keras 
• Expertise in ML techniques including NLP, supervised/unsupervised learning, bayesian/frequentist (bio)statistics, neural networks, and linear/nonlinear regression 
• Ability to implement state-of-the-art algorithms in document classification, text analytics, transformers, and neural networks
• Strong familiarity with health data analytics tools, especially SQL, Python, R
• Familiarity with clinical datasets and coding systems such as ICD, CPT, and RxNorm
• Familiarity with pharmaceutical industry’s strategy and business processes, including clinical trials, new drug introduction and clinical operations
• Ability to work effectively with cross-functional teams
• Clear communication skills and able to deliver internal/external presentations
• Ability to prioritize and manage multiple projects with high attention to detail

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