Sr. Quantitative Scientist, Implementation, Infrastructure Lead (Analytic Solutions)

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in USA
Remote
150K-175K Annually
Senior level
Healthtech • Software
The Role
The Senior Quantitative Scientist will lead analytics initiatives, develop reproducible research frameworks, and collaborate with life science teams to analyze clinical data and improve patient care.
Summary Generated by Built In

As Verana Health reinvents how research happens with data and technology in the healthcare space, we are growing our Data & Science team to solve complex real-world problems across multiple therapeutic areas, including urology and ophthalmology.  We are looking for a Senior Quantitative Scientist with experience in supporting a technical infrastructure that enables scalable, reproducible research and developing code for life science companies in support of commercial projects leveraging real-world data across the clinical development cycle. Direct experience working with ophthalmology and/or urology clinical data is considered a plus.

This role will be embedded within Analytic Solutions, which resides in the Data & Science department. This group helps to drive Verana’s analytic services offering, which includes insight generation and consultative support on data products directly accessed by commercial partners. Built on the values of continuous learning, cross-functional collaboration, and rigorous scientific research, the Data & Science 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 Senior Quantitative Scientist with a background in Engineering, Data Science, Computer Science, Math, Statistics or related skill sets working specifically in observational data, as well as collaborating directly with life science companies.

Responsibilities:

  • Be a hands-on individual contributor on the Data & Science team with a solid grasp of relevant technical approaches (software engineering best practices, healthcare data analytics, programming) and their respective assumptions
  • Highly skilled in writing readable code for analyses leveraging observational data to generate real-world evidence 
  • Serve as the technical lead in driving initiatives fundamental to the team’s infrastructure best practices, including GitHub, coding requirements, and analytic workflows
  • Influence what key areas to invest in that enable scalable technical processes by framing the business impact  
  • Work experience on commercial retrospective clinical studies leveraging EHR real-world data 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
  • Collaborate cross-functionally with teams (e.g., Commercial/Sales, 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., Engineering, Computer Science, Math, Statistics or related field) or equivalent practical experience
  • 5+ years of hands-on experience with messy data (e.g., electronic health records, outcomes data) and analytical methodologies
  • 5+ years working with life science/pharmaceutical/biotechnology organizations and familiarity with providing analytic services to these groups
  • Demonstrated ability to influence a team to adopt best-practices and workflows resulting in higher-quality results and faster turnaround times
  • Experience executing research studies for life sciences
  • Ability to balance key requirements that generate high-quality, reproducible research while enabling a pragmatic approach  
  • Advanced skills with data analytics tools, such as SQL, Python, Pyspark, AWS, Git, Databricks
  • Expert in cloud-based architecture and software development and programming principles 
  • Familiarity with clinical datasets and coding systems such as ICD, CPT, and RxNorm
  • 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

Verana Health is committed to complying with all applicable pay transparency laws and supports equitable pay practices. We pay based on a market-based approach, supported with robust data and in alignment with the compensation of our existing team. We construct our compensation ranges based on the US national average but your pay may vary depending on your location and the cost of living index for that geographic area. In determining an offer, base salary will also be based on experience, qualifications, skills and market conditions.
Please note pay ranges for major metropolitan areas may be different.

National Pay Range

$150,000$175,000 USD

Top Skills

AWS
Databricks
Git
Pyspark
Python
SQL
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The Company
HQ: San Francisco, CA
121 Employees
Hybrid Workplace
Year Founded: 2018

What We Do

Verana Health is a healthcare technology and analytics company entrusted by key medical associations to manage multi-specialty, real-world data at every stage of the analytics process—from entry to evidence. Anchored in ophthalmology, neurology, and urology, the Company acts as a linchpin in the healthcare data ecosystem, making data meaningful and actionable to empower physicians and accelerate research for patients. By curating and applying advanced analytics to real-world clinical data, Verana Health helps life sciences partners enhance evidence generation, reinvent medical research, and drive innovations in specific disease areas.

Why Work With Us

At Verana Health, we have the opportunity to shape the future of medical research by harnessing the power of comprehensive clinical data sets to generate real-world evidence and answer meaningful questions in medicine. This is a company built by and for people who seek to be part of a mission-driven team committed to improving patient lives.

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