Statistical Analyst

Join our movement to help analyze healthcare data for scientific research.

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AHA - American Heart Association

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Overview

Join our movement to help analyze healthcare data for scientific research.

You have:

  • Master’s or PhD degree in data science, biostatistics, biomedical informatics, computer science, statistics, public health, epidemiology, applied mathematics, or a related field (preferred).
  • Minimum of 3 years of relevant experience.
  • Minimum of 3 years of experience with R or Python for statistical computing and data analysis.
  • Proven experience in preprocessing and modeling clinical data, especially patient-level data from EHRs or registries.
  • Demonstrated experience in both traditional statistical modeling and machine learning techniques.
  • Minimum of 2 years of experience analyzing real-world patient data in clinical or research settings.
  • Experience writing and executing Statistical Analysis Plans.
  • Hands-on experience with cloud-computing platforms (e.g., AWS, Azure, GCP) for data processing and analysis.
  • Strong skills in managing and analyzing large-scale, complex clinical datasets.
  • Excellent oral and written communication skills, with the ability to effectively communicate technical/statistical information to both technical and non-technical stakeholders.
  • Highly effective organizational skills, time management, responsibility, and motivation.

Potential interview questions

Describe a challenging data analysis project you've worked on and what you learned from it. This question assesses your problem-solving skills and ability to overcome challenges. Discuss the project details, the challenges faced, and how you resolved them.
How do you ensure data quality in your analyses? The interviewer wants to know about your approach to maintaining high standards in your work. Pro members can see the explanation.
Can you provide an example of how you've used machine learning in a project? Pro members can see the explanation. Pro members can see the explanation.
How would you explain complex statistical concepts to a non-technical audience? Pro members can see the explanation. Pro members can see the explanation.
What statistical analysis tools or software are you most proficient in? Pro members can see the explanation. Pro members can see the explanation.
Describe your experience with clinical data. What unique challenges does it present? Pro members can see the explanation. Pro members can see the explanation.
How do you stay updated on the latest trends in data science and statistics? Pro members can see the explanation. Pro members can see the explanation.
Have you ever written a Statistical Analysis Plan? What was your approach? Pro members can see the explanation. Pro members can see the explanation.
Added 9 months ago - Updated 9 months ago - Source: heart.org