Associate Director, Biostatistics - BDH, Reverse Translational Neuroscience

Company Description

At Biogen, we offer a workplace that is unique, connected, resilient and impactful. Our purpose to find cures for rare diseases is a unique focus within our industry. We are connected as a team by this shared purpose, the pride we have in our work, and the inspiration we obtain from the lives we’re changing. We are resilient as we overcome obstacles, following the science to deliver for our patients. Most of all, our work allows us to have an impact. An impact on our patients’ lives and on changing the course of medicine.   

Job Description

About This Role

At Biogen Digital Health (BDH), we aspire to transform Biogen and patients’ lives by making personalized & digital medicine in neuroscience a reality. Powered by data-science and digital technologies, we drive solutions to advance research, clinical care, and patient empowerment. Our team strives for real impact through excellence, innovation, and collaboration.

As the Associate Director, you will serve as Biogen’s key contributor to achieve the strategic vision and objective to make Biogen a recognized leader in digital health neuroscience. You will be reporting to the Head and Senior Director of advanced analytics at BDH. In this role, you will advance scientific understanding of neurological disease and develop precision and personalized medicine solutions through the development and validation of transformative algorithms using statistical and Machine Learning (ML)/Artificial Intelligence (AI) technologies on datasets from people living with Parkinson’s disease (PD), Alzheimer’s Disease (AD) and other conditions.

What You’ll Do

As an Associate Director, Biostatistics in Reverse Translational Neuroscience within BDH Sciences, you will:

• Design, analyze and report on clinical validation studies to establish the clinical meaningfulness of statistical and ML/AI algorithms for neurological diseases
• Implement innovative biostatistical methods with an emphasis on patient-level validation of ML/AI generated algorithms and explain their strengths and limitations
• Lead the incorporation of multi-omic dimensions (genetics, transcriptomics, fluid biomarkers) to ML/AI based solutions to anchor innovations to underlying biological mechanisms
• Participate in cross-functional initiatives to evolve algorithms derived from clinical trial data to real-world datasets
• Support cross-function teams to develop personalized health evidence based on both trial and Real World Data (RWD) sources
• Lead clinical validation of ML/AI-derived biomarkers/classifiers and ground these to underlying biological traits associated with neurological disease
• Further our understanding of determinants of neurological disease through reverse translational research that incorporates multi-omic clinical trial datasets, real-world datasets and real-world publicly available registry data.
• Lead the analyses and the communication of results, including at conferences and in peer-reviewed publications for audiences in the therapeutic area of interest, machine learning and digital medicine.
• Able to make decisions across a variety of studies with minimal input from line or project manager. Able to work with others to identify and resolve areas of concerns. Takes initiative to communicate issues within or across multiple project team(s).Able to handle large volume of highly complex tasks with minimal supervision

Who You Are

You combine strategic thinking and scientific rigor with exceptional execution, and you strive for excellence in all that you do. You are passionately committed to making a difference in patients’ lives, and you foster a culture of trust and empowerment that encourages openness, ideation, failing forward, and experimentation. You think big, start small, scale fast, and you know that magic happens through diversity of thought, expertise, culture, and background.

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Qualifications

Required Skills  

• MS or PhD in Biostatistics, Statistics, Epidemiology, Outcomes Research, Economics or equivalent, and an MS with 10 years or PhD with 8 years working on observational studies.
• Intrinsic passion for advancing human disease understanding and transforming healthcare using digital technologies
• Knowledge in the field of statistical and ML/AI algorithm development
• Track-record of scientific publications in medical sciences
• Cutting-edge analytical, communication and presentation skills
• Thorough understanding of biostatistics, pharmacoepidemiology, and outcomes research methods in clinical trials observational studies.
• Understanding of the communalities and differences between primary and secondary data collection.
• Programming experience with