ProcDNA Tech Stack

Life sciences analytics and HCP engagement platform for pharma and biotech

Business Consulting and Services South San Francisco, California 201–500 employees Founded 2019 Privately Held

ProcDNA is a 400+ person analytics consulting firm built around Auxo, a proprietary platform for HCP 360 solutions and KOL engagement in life sciences. The tech stack is heavily data-operations focused—SAS, R, Alteryx, SQL, Tableau, plus Veeva's full suite (CRM, Vault, Align, Network) and modern cloud infrastructure (Snowflake, Databricks, Airflow)—reflecting a business structured around commercial forecasting, line-of-therapy analytics, and patient journey mapping. Hiring is data-centric (38 of 82 open roles), signaling expansion of their core analytics delivery and internal platform capabilities rather than sales growth.

Tech Stack 93 technologies

Core StackTableau SAS Salesforce AWS Java C# Apache Spark PySpark Azure Data Factory Databricks Informatica Apache Airflow Snowflake Redshift R Alteryx SQL Excel PowerPoint Azure GCP Perl Azkaban Apache Hive Veeva Systems Veeva CRM Veeva Vault Veeva Align Veeva Network Salesforce CLI+62 more

What ProcDNA Is Building

◆Challenges

Multiple data source integration
Complex data management problems
Data governance challenges
Expanding forecasting practice
Ensure compliance with statutory requirements
Complex data integration
Audit readiness
Gaps in commercial forecasting offerings
Compliance with pharma regulations
Scalable data pipelines

▲Active Projects

End-to-end data management solution projects
Visualization integration project
End-to-end forecasting projects for inline, launch, and pipeline products
Line-of-therapy analytics
Enterprise data processing and bi reporting solutions
Set up forecasting standards, tools, and frameworks
Advanced healthcare analytics tools
Forecasting accelerators
Patient journey mapping
Integrate ai/ml and real-world data into forecasts

Hiring Activity

Accelerating80 roles · 45 in 30d

Department

Data

Engineering

Sales

Support

Design

Research

Consulting

Seniority

Senior

Mid

Lead

Director

Junior

Notable leadership hires: Engagement Lead, Technology Director, Solution Lead, Market Research Lead, Analytics Engagement Lead

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About ProcDNA

ProcDNA advises life sciences companies on commercial strategy, medical excellence, and marketing operations. The firm operates through eight global offices and combines human consulting expertise with Auxo, an in-house analytics platform that helps clients build HCP 360 strategies and optimize KOL/HCP engagement. Core practice areas include forecasting (launch, inline, and pipeline products), line-of-therapy analytics, patient journey mapping, and competitive intelligence. The technology foundation spans traditional analytics tools (SAS, R, Tableau) and modern data platforms (Snowflake, Databricks, Airflow), with deep integration into Veeva's pharma-optimized ecosystem. Founded in 2019, the firm has grown to roughly 400 professionals across the United States and India.

HeadquartersSouth San Francisco, California

Company Size201–500 employees

Founded2019

Hiring MarketsUnited States, India

Frequently Asked Questions

What tech stack does ProcDNA use?

Primarily SAS, R, Alteryx, SQL, and Tableau for analytics; Salesforce, Veeva Systems (CRM, Vault, Align, Network), and Snowflake/Databricks for data infrastructure; AWS, Azure, and GCP for cloud services; and Apache Airflow and Informatica for data pipelines.

Is ProcDNA hiring engineers and data roles?

Yes. Of 82 active roles, 38 are in data and 12 in engineering—reflecting accelerating headcount in analytics delivery and platform development. Senior and lead-level hiring dominates (28 senior, 15 lead roles across departments).

What is ProcDNA working on?

End-to-end data management and forecasting solutions, line-of-therapy analytics, patient journey mapping, and AI/ML integration with real-world data. The firm is also establishing forecasting standards and frameworks, and building advanced healthcare analytics tools to address data governance and multi-source integration challenges.