US-MN-Maple Grove; US-MN-Arden Hills; US-MN-Mankato/Rochester; US-MN-Minneapolis; US-MN-Minnetonka; US-MN-Northern/Duluth; US-MN-Plymouth
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Your responsibilities will include:
- Leverages technical skillsets to define patient cohorts from large real-world data source(s) to perform both outcomes and statistical analysis.
- Uses technical expertise to receive incoming customer requests and produce custom analyses.
- Scopes requirements for research projects, asks questions to clarify objectives, methods, and details, conducts custom analyses in R or Python on electronic health record (EHR) data, produces results outputs (tables and figures).
- Collaborates with internal or external team members (e.g., Statisticians, Medical Writers, Medical Directors, and Physicians), to lead the activities for data extraction, integration, and analysis required for evidence generation strategies, regulatory submissions, and data publications.
- Leverages knowledge of statistics, regression, propensity score matching, Kaplan-Meier and other survival analyses to support project objectives.
- Performs quality control and/or validation according to departmental processes and procedures. Ensures analysis is performed in accordance with applicable statistical methods and in compliance with regulatory and company standards.
- Works with cross-functional team members to contribute to study design and analysis plan as needed.
Required qualifications:
- Minimum Bachelor’s degree or higher in computer science, mathematics, statistics, data analytics, clinical informatics, or related field with 7 years’ experience
- Minimum 3 years of experience analyzing Electronic Health Record data or other real-world healthcare claims data sources.
- Advanced skills using SQL, R and Python, including familiarity with data modeling to conduct data analyses.
- Attention to detail with excellent problem-solving skills and ability to proactively identify and address issues.
- Ability to interact and communicate with people effectively and to explain results clearly as well as strong experience working with a global team.
Preferred qualifications:
- Advanced degree with a minimum of 5 years’ experience.
- Experience with sample size calculation and simulations.
- Ability to effectively explain statistical methods and interpret results.
- Familiar with other statistical programming package or software, SAS® programming language and common statistical methods/tests. Proficient in SAS® Macro programming, ODS/RTF, ODS/GRAPH. Extensive working experience using various SAS/Stats Procedures (e.g., Logistic, GLM, Phreg, and Lifetest).
- Experience of Common Data Model (CDM) or related data model and database structures.
- Experience with data mining or data science related to clinical evidence.
- Apache Spark/PySpark/SparkR experience
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.