Verana Health Logo

Verana Health

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

Posted 22 Days Ago
Be an Early Applicant
Remote
150K-175K Annually
Senior level
Remote
150K-175K Annually
Senior level
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.
The summary above was generated by AI

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 supporting a technical infrastructure that enables scalable, reproducible research and developing code for life science companies to support commercial projects applying real-world data across the clinical development cycle. Direct experience working with ophthalmology or urology clinical data is considered a plus.

You will be embedded within Analytic Solutions, which resides in the Data & Science department. This group helps to guide 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 learning, collaboration, and rigorous scientific research, the Data & Science team strives to improve patient care by innovating at the intersection of real-world, 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 Responsibilities:

Verana Health is looking for a Senior Quantitative Scientist with a background in Engineering, Data Science, Science, Math, Statistics or related skills working specifically in observational data, and 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

  • Experience writing readable code for analyses using observational data to create real-world evidence

  • Be the technical lead in driving plans fundamental to the team's infrastructure best practices, including GitHub, coding requirements, and analytic workflows

  • Influence what important areas to invest in that promote scalable technical processes by framing the business impact

  • Work experience on commercial retrospective clinical studies using EHR real-world data through responsibilities such as creation of statistical analysis plans, implementation of analyses, development of algorithms to support research objectives, and/or writing of publications

  • Collaborate with teams (e.g., Commercial/Sales, Product, Medical, Engineering/Technology) 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 completing research studies for life sciences

  • Balance important requirements that produce high-quality, reproducible research while promoting a pragmatic approach

  • Advanced skills with data analytics tools, such as SQL, Python, Pyspark, AWS, Git, and 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

  • Work with cross-functional teams

  • Deliver internal/external presentations

    Benefits:

    • We provide 100% health, vision, and dental coverage for employees 
    • 401K Match
    • Flexible vacation plans 
    • $700 learning and wellness annual stipend 
    • $25/wk in Doordash credit 
    • Headspace meditation app access

#LI-REMOTE

Pay ranges may vary for market conditions, location, and experience.

National Pay Range

$150,000$175,000 USD

Top Skills

AWS
Databricks
Git
Pyspark
Python
SQL

Similar Jobs

2 Hours Ago
Remote
Hybrid
2 Locations
176K-201K Annually
Senior level
176K-201K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead the development of data management tools by collaborating across Agile teams, utilizing cloud technologies, and mentoring engineers to support large-scale applications in a remote environment.
Top Skills: AWSCassandraEmrGCPGurobiHadoopHiveJavaKafkaLinuxMapreduceAzureMongodbMySQLPythonRedshiftScalaSnowflakeSparkSQLUnix
3 Hours Ago
Remote
USA
167K-197K Annually
Senior level
167K-197K Annually
Senior level
Cloud • Fintech • Cryptocurrency • NFT • Web3
Lead insights into quality assurance and knowledge management functions, improving customer experiences through metrics, analytics, and data-driven decision making.
Top Skills: AWSLookerPythonQuicksightSQLTableau
7 Hours Ago
Easy Apply
Remote
United States
Easy Apply
108K-163K Annually
Senior level
108K-163K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
As a Senior Data Operations Manager, you will enhance CRM data practices, lead market mapping projects, and collaborate with cross-functional teams to support sales and marketing efforts.
Top Skills: Data Enrichment SourcesData Management ToolsDatabricksSalesforceSQL

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account