Devmo Solutions

DEVeloping MOre Solutions at the intersection of digital technology, data sciences and bioPharma/HealthCare.

Advancing Data Science and Digital Technology in bioPharma and Life Sciences

In today's rapidly evolving biopharma industry, leveraging data science and digital technology is essential for driving innovation and improving patient outcomes. Our consulting services empower organizations ability to harness the full potential of these transformative capabilities.

Ready to engage the power of data science and digital technology in your biopharma organization? Contact us to schedule a consultation with our experts and explore how we can help unlock new possibilities for innovation and growth.

Why Choose Us?

Deep Industry Knowledge

Our consultants possess a deep understanding of the biopharma industry, its challenges, and opportunities. This ensures tailored solutions that address your bespoke needs.

Cutting-Edge Technology

We are at the forefront of data science and digital technology, leveraging the latest advancements to deliver superior results for our clients.

Collaborative Approach

We work closely with our clients, fostering a collaborative partnership that ensures alignment with their goals and objectives.

Proven Track Record

Our team has a proven track record of delivering successful data science and digital technology solutions that drive transformative outcomes for biopharma organizations.

Helping you with your opportunities and challenges

We have a wide range of capabilities ...

AI/ML

Plan it, create it, launch it. Is your problem a good fit for AI? Will it fit into your Processes? Do you have good training/test data?

bioPharma R&D IT

Need help with Technology Roadmaps? Tech Programs? State of the art development approaches?

Life Sciences Data

Engineering data pipelines with data normalization and integration across a variety of life science data sources. Data management and processing from Genbank genomic to Claims/EHR data.

Business Automation

Design, architect, and lead custom business automation projects.

Natural Language Processing

We have extensive expertise in structuring data and knowledge from life sciences/bioPharma text content.

IT Partnering

Keen understanding of the bioPharma/life sciences user needs and how to partner to achieve shared business goals.

Project Examples

To determine the best approach for AI automation, we evaluate user workflows and available training and test data. Most projects for AI automation follow the following steps:

Evaluate user workflows
Review available training and test data
Develop ROI and People and Process Impact analyses
Create prototype or proof of concept
Manage production implementation and deployment

We have previously created a Domain Specific Language (DSLs) to improve speed and accuracy of curation for new, but subtly different, Electronic Health Record (EHR) datasets to be aggregated into a normalized master health records database. The DSL was implemented to provide a simple, extendable interface for curators in order to support data engineers in automating new dataset ingestion.

We have developed a knowledge representation system for biological data that is based on a graph database model. This system is used to represent and query biological data in a way that is more intuitive and efficient than traditional relational databases.

We can develop custom scientific computing solutions to help you analyze and visualize complex biological and chemical data. Our team has experience with a wide range of scientific computing tools and libraries, and we can help you develop custom solutions to meet your specific needs.

We have extensive experience in aggregating complex data from a variety of sources, including genomic data, clinical data, and real-world evidence via API, database exports, text datasets, and webscraping. Our team can help you develop custom data aggregation solutions to meet your specific needs.