Clinical Data Scientist Job Description Template
Our company is looking for a Clinical Data Scientist to join our team.
Responsibilities:
- Development and tuning of predictive models to improve product delivery and outcomes;
- Participate in information gathering/discovery activities to identify information needs of key stakeholders;
- Establish specific data and workflow requirements to ensure that content, timing, lineage, and transformation needs are well understood and addressed;
- Work with others on the Product team to Identify optimal approach(es) for delivering information insights into workflow;
- Development of analysis plans, methods and reports for various data science initiatives within the clinical and product teams;
- Discovering opportunities for reusing and repurposing analysis tools;
- Preparation and linking of diverse data sources to facilitate feature-construction for exploratory analyses;
- Synthesis of evidence related to preliminary hypotheses regarding product use and user behavior.
Requirements:
- Experience in statistical methods;
- Experience integrating and analysing diverse data sets relevant to clinical research and real world health data;
- Experience in machine learning and AI;
- Bachelor’s degree in Computer Science, Data Science, or equivalent;
- Proficiency in techniques for modeling gaps and noise in data repositories;
- Strong attention to detail and well organized;
- Training in a broad spectrum of statistical techniques that span learning, experimental design and observational data analysis;
- Able to work in a dynamic, high-growth and cross-functional environment;
- Experience in modeling and visualizing medical claims data a plus;
- Experience with study designs and related techniques suited for analyzing a variety of data types and data generating processes;
- 2 or more years of experience in a data-scientist role;
- Action-oriented, analytical self-starter;
- Passionate about facilitating opportunities for skill-augmentation and professional development;
- Proficiency in SQL and Python. Experience with R and other statistical analysis tools is advantageous;
- Excellent communicator in all forms: presentations, written, conversational.