Data Science

Clinical Data Scientist (San Francisco)

Verana Health is looking for an experienced data scientist with a background in health data analytics to help us with data interpretation, cleaning, modeling, queries, and visualization.

Responsibilities

• Work closely with the clinical and technology teams to translate clinical investigation questions into detailed data analytics requirements.
• Implement retrospective clinical studies to generate RWE insights and to answer customer questions.
• Organize clinical data relationships to create a data model and classification hierarchy.
• Examine physician notes and design a model to transform and extract structured data.
• Design visualization reports to represent data analytics results in a meaningful way.

Qualifications

• Strong familiarity with health data analytics tools, especially SQL, Python, Pandas.
• Experience with health data modeling, curation and bio-statistics.
• Familiarity with clinical data sets and coding systems such as ICD, CPT and RxNorm.
• Familiarity with pharmaceutical company business processes, including clinical trials, new drug introduction and clinical operations.
• Ability to work effectively with cross-functional business and technical teams.
• Have excellent drafting, negotiation and very clear communication skills.
• Ability to prioritize and manage multiple projects.
• Ability to manage multiple projects and priorities and attention to detail.

Data Scientist, AI & Data Insights (San Francisco)

In this role, you will work closely with our commercial partners to deliver insights from real world medical data. You must have an appetite for problem solving, an aptitude for framing scientific questions, and a history of delivering high-quality code.

Responsibilities

• Gather requirements for internal and external research projects and products
• Collaborate on multi-disciplinary teams to implement technical solutions for commercial research projects and client-facing products
• Write and maintain code automating data curation tasks on a big data scale
• Create curated datasets and synthetic tables from raw structured and unstructured data for customer deliverables
• Create, maintain, and use scripts segmenting patient populations for analysis
• Define, apply, and interpret machine learning models that describe patient journeys

Requirements

• 5+ years developing and using advanced analytical tools and code*
• 2+ years experience working directly with external stakeholders on data science problems*
• 2+ years implementing production-grade pyspark or python and SQL code
• Proven experience working on cross-functional teams
• History of implementing data curation and ETL tasks
• Good understanding of modern data engineering architectures
• Application-oriented machine learning modeling

Bonus

• Familiarity with medical data types and nomenclatures (e.g., ICD-10, CPT, RxNorm)
• Experience with unstructured data, NLP methods
• Familiarity with clinical research, electronic health record systems/data
• Experience with Spark, AWS

* 3-5 years experience considered if strong experience with at least two of the following bonus skills: healthcare/clinical trial data, ETL, unstructured text analytics, application-oriented regression/boosted tree ML models, big data technologies