Data Science Services
Experts in data science achieve new levels of insight through real world data (RWD), advanced analytics, and interactive visualizations.
Sponsors can benefit from greater efficiency during clinical development, analysis of data for marketed products, and reduction in duration of clinical trials.
The Data Science experts at MMS open new possibilities for Sponsors searching for data-driven insights for pharmaceutical, biotech, and healthcare organizations. We employ a wealth of regulatory expertise, strong processes, and purpose-built, flexible data visualization technology to drive efficiency using real world data (RWD).
This leads to uncovering new insights on disease, compound, patient, and possible operational improvements for those involved in life-sciences and clinical research.
When engaging MMS, Sponsors have gained immense value, including but not limited to:
- Efficiency in clinical development, using near real-time, interactive data visualization to drive program-critical decisions
- Reimagined solutions for complex regulatory questions, through the combined use of industry expertise, strong processes, and integrated technology
- Curating non-traditional data sources and building a framework for exploration, leading to new treatments and label expansion
- Leveraging the expertise of MMS data scientists to support data-driven objectives through project based or FSP models
The sections below detail comprehensive Data Science solutions, including consulting, technology, and functional solutions staffing. Request a consultation with a Data Science expert and learn why MMS is the data science CRO of choice for innovative life science teams and organizations.
Data Science discovery is foundational for planning the use of real-world data (RWD) to answer organizational objectives and improve business decisions. Add words. Through a purposeful approach, MMS data science experts will work to define the strategic goals for a data science engagement, including identification of appropriate data to pair with data available from clinical trials.
In the tree diagram below, Sponsors can view how RWD flows from the roots into usable insights and real-world evidence (RWE) at the leaves.
Data Scientists at MMS are proficient in the abstraction and preparation of data from any source for analysis and/or visualization. At times, this may require creation of a database or data lake to store data, with sources that may include Electronic Health Records (EHR), wearables or other health devices, social media, medical claims, and others.
Here are a few ways that Sponsors can engage MMS:
- Data curation, including relationships with data brokers/source(s) to collect and prepare for analysis
- Intake and standardization of streaming data (i.e. wearables)
- Curation of EHR data for retrospective analysis to support label expansion
To aid in data curation, MMS utilizes Datacise® CURATE, a flexible cloud-based application for the collection and aggregation of clinical data through a variety of data mapping or abstraction methods.
Learn more about this scalable platform.
Data Scientists at MMS can provide Sponsors with a deeper understanding of data through custom algorithms and advanced analytical models. This support may include machine learning (ML), natural language processing (NLP), and data mining or web scraping. Our approach allows for complex statistical methodology and novel programming languages, including Julia, Python, R, and others.
Here are a few ways that Sponsors can engage MMS:
- Natural language processing of Twitter and Reddit posts to extract drug product related content for safety surveillance
- ML-based detection of clinically important subgroups (i.e. data mining)
- Location-based analyses (i.e. GPS and wearables) and compliance reporting
- Image recognition and analysis
- Complex exploratory models
To aid in advanced analytics, MMS utilizes Datacise® ANALYZE, a fully-integrated cloud-based technology platform that supports advanced analytical needs for RWD and other data. For this, we collaborate with SME statisticians towards customizing the end-user dashboard for optimal usefulness ad accurate modeling in the background. This may be the case if including a Kaplan-meier survival plot or Mixed Model Repeated Measures [MMRM] inferential statistics, for instance.
Data Scientists at MMS provide Sponsors with rapid data insights through browser-based interactive dashboards. With the potential for API data extraction into dashboards, Sponsors can take advantage of automated data refreshes, reports, and alerts to ensure that data is always up-to-date.
Here are a few ways that Sponsors can engage MMS for visualization support:
- DSMB and Adjudication meetings including dashboards to augment static tables and listings
- Patient profiles to aid in ongoing safety reviews and assessments
- Dashboards for medical device and wearables data
- Site performance dashboards that help clinical teams and data managers monitor study progress
- Safety surveillance signal detection, using social media and regulatory data sources (i.e. FAERS)
To aid in data visualization, MMS utilizes Datacise® EXPLORE, a fully-integrated cloud-based technology platform that provides integrated data visualizations and dashboards to support analysis, review, and ultimately, speed decision-making, without having to wait for programming of “ad-hoc” tables and listings.
Sponsors around the globe engage with MMS for FSP partnerships in the area of Data Science. Our FSP models are designed to be flexible and scalable, allowing our team and level of engagement to smoothly shift with your changing needs.
Key benefits to engaging in an FSP model with our data scientists include:
- Experience and consistency of an FSP relationship allows MMS to bring the greatest value, rather than other transactional models
- Effective and efficient communication plans by defining roles and responsibilities, with a clear escalation process
- Efficiency gains through interdependent cross-functional services
Through value-added FSP partnerships, MMS strives for seamless collaborations that build trust. Learn more about our FSP model.