The Digital and Quantitative Medicine (DQM) group uses an applied systems science model to incorporate multi-scale computational modeling and simulation along with experimental medicine studies and the development and industrialization of novel clinical technologies to bring specific value to development and discovery; catalyzing the organization towards a human-centric transformative quantitative biology strategy for drug development / discovery. DQM includes platforms in clinical technologies (including digital and internet of things approaches), quantitative medicine, advanced modeling/analytics and experimental medicine and relies on robust interfaces with groups across the Biogen enterprise and broadly in the external environment.
This role will report to DQM's Head of Modeling, Simulation, and Analytics.
This role will focus on modeling and analyses related to human biology and disease, e.g., movement biomechanics, biological fluid flow, tissue deformations, and speech & language. This role will partner with medical experts to connect their knowledge about biological structure and function to physiological, motor, and cognitive signs of disease progression. This will require understanding how a clinician evaluates disease progression, e.g. the UPDRS, and to convert data measuring complex biology, e.g. gait and balance, into measures that quantify the individual's state. The role will also compare data from promising measurement tools that may capture objective markers, e.g. wearable sensors, IR cameras, with gold-standard measurements, e.g. a motioncapture camera system, to determine the promising tool's accuracy, precision, and reproducibility.
Individuals in this role will work closely with a cross-functional team (e.g., IT, clinicians, biologists, regulatory specialists), to ensure the security, safety, reliability, and quality of the data and measures.Accountabilities
Members of the Modeling, Simulation, and Analytics Line are responsible for:
- Developing new modeling and analytical methods, as well as applying standard methods, to both current and novel measurements
- Identifying, evaluating, and validating novel technologies for use as clinical measures in early and late stage portfolio projects
- Providing input into Quantitative Medicine and Clinical Measurement Plans for research teams
- 5+ years' experience working in a research, clinical, and/or pharmaceutical environment
- Strong analytical and problem-solving skills
- Deep understanding of established analytical/modeling methodologies.
- Demonstrated ability to evaluate novel digital biomarkers
- Demonstrated ability to build scalable scientific analysis applications
- Expert Python programming skills, experience with additional languages a plus
- Experience with R a plus
- Experience programming in a cloud environment
- Experience handling big data
- Strong communication and the ability to clearly convey information both within the group and to external groups
- Strong collaboration and team building skills; ability to connect with all levels of the organization
- Comfortable working in a matrix environment, while embracing and driving change
- Experience managing others is a plus
- Familiarity with pharmaceutical drug discovery and development is a plus
- Familiarity with neuroscience, human anatomy, and/or medicine is a plus
- Familiarity with agile/scrum is a plus
: PhD in engineering, computer science, quantitative physical science, or something similar, with project management experience a plusAdditional Information
This role will focus on modeling and analyses related to human biology and disease, e.g., movement biomechanics, biological fluid flow, tissue deformations, and speech & language. This role will partner with medical experts to connect their knowledge about biological structure and function to physiological, motor, and cognitive signs of disease progression.