Description :

Job Purpose :

- The Analyst, Global Data Science & Analytics will work with a team of data scientists and data engineers to deliver data science solutions.

- The Analyst will support various analytics projects for internal and external stakeholders, for example providing real-time intelligence on market share, performing analytics to guide clinical trial design, and identifying patients who may be eligible for therapies.

- These projects use machine learning, artificial intelligence, statistical modeling, data mining, and visualization techniques to provide analytics solutions to a wide range of challenging business problems.

Knowledge, Experience and Education :

Education :

- Bachelor's degree.

- Bachelors degree in STEM field.

Years of experience, both overall and any industry-specific experience needed :

- Familiarity with at least one programming language (Python, PySpark, SQL, R, SAS).

- Knowledge of at least one database software required (Databricks/SQL).

Other qualifications/certifications :

- 1-year of experience in medical device industry or experience working with health insurance claims.

Preferred :

- Able to work both independently and as a team member.

- Experience coordinating and prioritizing for multiple tasks.

- Good organizational and time management skills.

- Able to communicate effectively, both orally and in writing.

- Excellent attention to detail and accuracy.

- Experience in a life sciences environment a plus.

Major Accountabilities :

Describe the major accountabilities of the job in order of importance.

Major Accountabilities :

- Lead activities performed to keep an ML model running smoothly, adaptively, and effectively post-deployment.

- Prepare datasets for statistical analysis and provide data quality checks.

- Perform programming to create reports and troubleshoot programming issues (in SAS, R or similar).

- Validate programs, analysis data and results.

- Provide other study support by reading and summarizing relevant background material, clinical study papers and publications.

- Assist in interpretation and presentation of results through figures/tables/reports, including necessary explanation of data and analysis.

- Work as part of a team to understand and deliver solutions for complex data and business problems.

Principle Challenges :

Select the option that best describes the typical situations/problems the job faces from the drop down, and then provide an example of a typical challenge and how the jobholder would solve it.

- Follows instructions in completing assignments.

- Situations are routine and are solved by doing what worked last time.

Solution : candidate must rerun data models and refresh data sets to reflect the latest data.

- This will require running programs (models) to generate data sets, and troubleshooting any issues in the programming, should they arise.

- This will also require the candidate to validate programs, review analysis data and quality check results.