Senior Data Scientist (Remote) at MMS Holdings Inc #vacancy #remote

MMSis 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 inGlobal Health & Pharmasinternational 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

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Natural language processing (NLP) Data Analyst statistics Data Science Python R simulation Data Architect optimization SQL Java Machine Learning shiny Power BI

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