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Real World Evidence Observational Data Analyst

Biogen
Cambridge, MA
  • Expired: December 22, 2022. Applications are no longer accepted.
Company Description

About This Role

In the Real World Evidence Observational Data Analyst role, you'll be responsible for managing the acquisition, processing and curation of non-Biogen sourced observational real-world data (RWD), including clinical, claims, disease registry, electronic health/ medical records (EHR/EMR) and imaging metadata. You'll manage a wide portfolio of data types, with a goal of supporting diverse analyses across Research & Development (R&D). You will ensure data transfers follow quality standards and coordinate with other stakeholders in R&D to ensure acquisitions satisfy expected analysis plans. In addition, you'll program analyses of the RWD, working with your Real World Data Analytics colleagues, and stakeholders across Biogen, including epidemiologists, translational biologists, biomarker scientists and biostatisticians. These analyses will provide a better understanding of disease natural history, incidence/prevalence, co-morbidities, treatment patterns, and health and safety outcomes in 'real world' patient populations, across a wide variety of serious and unmet diseases. Your work will have great impact to research and early development, clinical development pipeline and marketed products.

Job Description

What You'll Do

As a Real World Evidence Observational Data Analyst you will:
  • Collaborate with external vendors, Biogen partners and external organizations responsible for collecting the data
  • Ensure data transfers follow quality standards and coordinate with other stakeholders in R&D to ensure acquisitions satisfy expected analysis plans
  • Define and implement data transfer, quality control and curation processes, and maintain the data quality pipeline
  • Work with other Real World Data Analytics team members to ensure consistency of quality control methods and processes across disparate types of data sourced external to Biogen
  • Conduct analyses pertaining to the application of the observational RWE data for diverse stakeholders, including Epidemiology, Value & Access, Translational Biology, Biomarkers; these include specific epidemiology, health outcomes and other observational studies to better understand disease natural history, incidence/prevalence, co-morbidities, treatment patterns, and health and safety outcomes in 'real world' patient populations
  • Advise on the associated analyses plans using information developed in the execution of the data quality pipelines
  • Ensure information is surfaced to ensure the externally sourced data is fit for purpose
  • Develop systems, processes, and tools (pipelines) which impact enterprise use of our data assets and confirm data quality.

Who You Are

You love analytics and are passionate about using observational real world data to drive meaningful insight that inform the science that will defeat devastating neurological diseases. You love learning new technological skills and collaborating with your team and stakeholders to make us leaders in the research and development of medicines to transform neuroscience to benefit society.

Qualifications

Required Skills:
  • A Bachelor's degree in Computer Science, Data Science, Life Sciences, Epidemiology, Bioinformatics, Clinical Informatics or similar technical fields
  • 5-8 years relevant work experience with a focus on clinical, observational or RWE data management ingestion, curation, and analysis
  • Deep understanding of drug development and biopharmaceutical industry, with emphasis on role of observational RWE data
  • Experience using hardware and software used to curate, process and analyze data
  • Experience with scripting/ coding languages (R, SAS, Python, Unix scripting etc.)
  • 5 years of SAS experience required (must have current experience); SAS Certification preferred
  • Knowledge of data analysis and trending
  • Familiarity with statistics
  • Experience developing and implementing process and data standards
  • Strong project management skills, and ability to effectively lead, collaborate and communicate across diverse group of observational RWE data stakeholders (scientific, technical, operational)
  • High attention to detail including proven ability to manage multiple, competing priorities
  • Demonstrated ability to establish and manage effective business relationships with internal and external stakeholders
  • Excellent written and oral communication skills


Additional Information

All your information will be kept confidential according to EEO guidelines.

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Biogen

Address

Cambridge, MA
02140 USA

Industry

Technology

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