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ProcDNA Tech Stack

Analytics and data platforms for life sciences commercial and clinical operations

Business Consulting and Services South San Francisco, California 201–500 employees Founded 2020 Privately Held
procdna.com LinkedIn

ProcDNA is a life sciences consulting firm built around a proprietary analytics product suite (Auxo) and a data engineering practice. The tech stack is dominated by legacy analytics tools (SAS, Alteryx, Tableau) paired with modern cloud (Snowflake, Databricks, Azure Data Factory) and Veeva systems—a telling mix that reflects both pharma incumbency and active migration toward cloud-native architectures. Hiring velocity is accelerating with a 33-person data team anchoring the org, while active projects span patient journey mapping, line-of-therapy analytics, and enterprise cloud deployments, signaling a shift from consulting-only toward scaled product delivery.

Tech Stack 104 technologies

Core StackPython Tableau SAS Salesforce AWS Java C# Apache Spark PySpark Azure Data Factory Databricks Informatica Apache Airflow Snowflake Redshift VBA Alteryx Azure GCP Unix shell Perl Azkaban Apache Hive Veeva Systems Veeva CRM Veeva Vault Veeva Align Veeva Network Salesforce CLI Veeva+73 more

What ProcDNA Is Building

◆Challenges

  • Improving patient outcomes
  • Complex data management
  • Data integration from multiple sources
  • Optimizing marketing investments
  • Healthcare industry challenges
  • Regulatory compliance in pharma
  • Integrating claims and emr data
  • Patient journey mapping
  • Building scalable cloud-native systems
  • Delivering large-scale data platforms

▲Active Projects

  • Line-of-therapy analytics
  • Enterprise bi and reporting solutions
  • Patient journey visualization
  • Tailored healthcare analytics solutions
  • Build advanced analytics tools for healthcare and pharma
  • Lightweight analytical tools for mmm
  • Enterprise salesforce solutions across data cloud, health cloud, crm, and life sciences cloud
  • Patient journey mapping
  • Architect cloud-native systems
  • Deliver large-scale data platforms

Hiring Activity

Accelerating60 roles · 30 in 30d

Department

Data
33
Engineering
10
Marketing
2
Sales
2
Support
2
Consulting
1
Healthcare
1
HR
1

Seniority

Mid
19
Senior
17
Lead
10
Director
5
Junior
2
Intern
1

Notable leadership hires: Analytics Lead, Engagement Lead, Technology Director, Marketing Mix Lead

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About ProcDNA

ProcDNA advises life sciences organizations on commercial and clinical analytics, with 430+ professionals across eight offices. The firm operates a dual-revenue model: consulting services (Commercial Excellence, Medical Excellence, Marketing Operations, Competitive Intelligence) and Auxo, a proprietary platform for HCP 360 solutions and HCP/KOL engagement. The engineering and data footprint—70% of hiring activity—reflects both the scale of customer data integration work (claims, EMR, multi-source ingestion) and the build-out of cloud-native analytics infrastructure. Core pain points center on healthcare data complexity, regulatory compliance, and optimizing marketing ROI across fragmented source systems.

HeadquartersSouth San Francisco, California
Company Size201–500 employees
Founded2020
Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does ProcDNA use?

ProcDNA's primary tools include SAS, Alteryx, and Tableau for analytics; Salesforce and Veeva systems (CRM, Vault, Align, Network) for pharma workflows; and cloud platforms (Snowflake, Databricks, Azure Data Factory, AWS, GCP) for data pipelines and warehousing.

What is ProcDNA working on?

Active projects include line-of-therapy analytics, patient journey visualization, enterprise BI solutions, cloud-native system architecture, large-scale data platforms, and Salesforce implementations across Health Cloud and Life Sciences Cloud.

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How this profile is built

ProcDNA's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.