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Data Scientist III

Data Scientist III

Spectraforce TechnologiesRaleigh, North Carolina, United States
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Job Title : Data Scientist III

Duration : 6 months

Location Remote

What are the top 3-5 skills, experience or education required for this position :

1. 3+ years of analytics related experience in clinical research. Experience with clinical data preferred

2. Experience with Spotfire or similar visualization tool

3. Experience with R programming

4. Experience working with cross-functional stakeholders and gathering requirements, implementing analytic solutions, and enabling data driven insights

Purpose : Data Science and Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of client's data assets by bringing technology and / or data and insights to the forefront of decision making via fit-for-purpose solutions.

The Senior Data Scientist role is a key role to enable application of advanced analytics techniques across clinical development processes. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics. Identifies use cases that are appropriate for the application of ML and AI.

Roles and Responsibilities :

  • Manage and execute analytic needs for a set of clinical trials based on therapeutic alignment Partner with cross-functional teams to enable data-driven insights to support the end-to-end clinical trial execution through fit-for-purpose analytics support
  • Identify business needs on a study and support the creation of RBQM deliverables (KRIs / QTLs), data review deliverables, or study specific reports or analyses as required.
  • Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
  • Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized
  • In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
  • Enables data-driven insights to support of clinical development continuum, including precision medicine
  • Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, client Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and / or evolving local regulations, guidelines and policies related to clinical development
  • Identify business needs and support the creation of standard KPIs, reports, and statistical analyses
  • Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks;

Qualifications :

  • Bachelor's degree statistics, analytics, bioinformatics, data science or equivalent field. Master's degree preferred
  • Must have 3+ years of analytics-related experience in clinical research including demonstrated high-level analytics and leadership competencies.
  • Advanced career level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
  • Expert proficiency with visualization tools like Spotfire, Tableau or equivalent
  • Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman's terms
  • Demonstrated problem-solving and analytical skills
  • Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
  • Strong cross-functional collaboration skills to navigate a matrixed work organization
  • Exhibits excellent organizational skills to manage multiple priorities and projects.
  • Communicates clearly, translating business needs into actionable analytics requiremen
  • Strong technical expertise and proficiency with R, Python or other statistical packages. Proficiency with visualization tools such as Spotfire or equivalent
  • Fosters innovation and an entrepreneurial culture within the team that attracts and retains top talent; creates an environment of continuous learning
  • Effectively influences cross-functional stakeholders to identify and unlock the full potential of data and analytics.
  • Thrives in fast-paced environments and adapts quickly to changing priorities.
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