Boehringer Ingelheim Jobs

Description

The purpose of this job is to:

• Generate real world evidence (RWE) to support in-line and pipeline products.

• Provide statistical advice on the analysis of real world data (RWD) to various internal and external stakeholders.

• Contribute to the RWD acquisition strategy and tool evaluation.

• Participate in the development and presentation of RWE trainings.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

Duties & Responsibilities

• Provide expert advice in the analysis of real world data (such as medical claims, electronic health records, registries) for stakeholders in epidemiology, market access / HEOR, medical affairs, and other functional areas. These analyses may include:

• Treatment patterns and drug utilization

• Resource utilization

• The incidence and prevalence of diseases and co-morbidities

• Cost-effectiveness

• Burden of disease

• Comparative effectiveness and safety

• Serve as statistical lead for internally conducted real world database studies, including writing analytical sections of research protocols and statistical analysis plans, managing delivery of analyses, and reporting results.

• For outsourced projects, support the Study Lead in reviewing all analytical activities outsourced to external parties, including analysis plans, code lists, and interim/final results.

• Conduct analyses, ranging from highly complex to feasibility assessments, using internally available real world data assets.

• Assess and apply innovative methods, technologies and tools to maximize the value of RWD.

• Evaluate real-world data sources for possible in-license/ purchase and additional analytical tools for in-house analytic needs.

• Contribute to the development and presentation of RWE trainings.

• Maintain records for all assigned projects and archive project analysis and associated documentation following internal BI rules

• Ensure fulfillment of regulatory and SOP requirements for internally conducted RWE studies.

• Recommends improvements and alternative solutions to resolve problems.

Requirements

• Graduate degree (preferable and highly desirable: PhD) from an accredited institution and/ or post-graduate training in applied analytic disciplines, such as epidemiology, health outcomes, health informatics, biostatistics or health economics

• Masters with seven (7) years of experience in the analysis of RWD or PhD with three (3) years of experience

• Proficient in R and SQL for designing RWE studies. OHDSI tools and OMOP Common Data Model experience preferred.

• Mandatory experience working with large healthcare databases such as MarketScan, EMR data, or similar.

• Expertise in the analysis of real-world data, such as administrative claims data and electronic healthcare records.

• Advanced knowledge of epidemiologic methods and/or health economics, such as propensity score analysis and marginal structural modeling.

• Ability to communicate effectively in English, including the ability to produce documents and emails which are adapted to the needs of the audience.

• Strong organizational, time-management and prioritization skills necessary to evaluate, plan and accomplish multiple work goals in a timely fashion.

Compensation

This position offers a base salary typically between $183,000 and $280,000. The position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here. (https://www.boehringer-ingelheim.com/us/careers/benefits-rewards)

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All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.