MMS is an innovative, data-focused CRO that supports the pharmaceutical, biotech, including clinical trial transparency, and medical device industries with a proven, scientific approach to complex trial data and regulatory submission challenges. Strong industry experience, technology-enabled services, and a data-driven approach to drug development make MMS a valuable CRO partner, creating compelling submissions that meet rigorous regulatory standards. With a global footprint across four continents, MMS maintains a 97 percent customer satisfaction rating, and the company has been recognized as a leading CRO in Global Health & Pharmas international awards programs for the last three consecutive years. For more information, visit or follow MMS on LinkedIn.
Roles & Responsibilities:
- Proficiency in data science delivery methodologies
- Responsible for key activities and deliverables from pre-discovery, delivery and value realization
- Educate stakeholders on Data Science methodology to support the development of appropriate goals and objectives
- Responsible for conducting peer reviews, validation steps for others within the team
- Strong knowledge of the key technical and non-technical roles needed to support Data Science project end-to-end
- Strong project management knowledge
- Understanding of Data Science solution architectures, databases, programming tools and visualization technologies
- Strong experience with key programming and visualization tools like Java, R, SQL and Power BI
- Strong knowledge of data structures, data sources, and data engineering tools and techniques
- Provide guidance on the decision to choose best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and applications to achieve goals and objectives
- Ability to engage with stakeholders throughout the project
- Support the effort to determine stakeholders needs and ensures business value is realized
- Regularly communicate, advise, and collaborate with project manager
- Support deployment teams to deliver decision support visualizations and dashboards
Requirements:
- Bachelors in Engineering, Statistics or Computer Science with 5 or more years’ related work experience or a Master’s degree with typically 3 or more years’ or a PhD degree or an equivalent combination of education and experience
- Understanding of CROs and/ or Health Systems and scientific and clinical data/terminology, and the drug development process
- Experience in preparing, correcting, modifying and analyzing data sets using complex analytic techniques and statistical methodology
- Ability to develop R and/or Python and SQL scripts for data manipulation and analysis
- Knowledge of R-Shiny preferred
- Moderate experience with machine learning and natural language processing
- Good communication skills and wiliness to work with others to clearly understand needs and solve problems
- Ability to develop processes and standard work
- A tolerance for organizational complexity and work collaboratively
- In-depth understanding of database structure principles
- Proven work experience as a Data Architect, Data Scientist, Data Analyst or similar role
- Excellent problem-solving skills
- App development desired
Natural language processing (NLP) Data Analyst statistics Problem-solving Data Science Python Computer Science R simulation Data Architect optimization Communication SQL Machine Learning shiny Engineering Project management Software Developer