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Data Scientist - Innovation

Company: 
Northwestern Medicine
CIty: 
Chicago
State: 
Illinois
Occupational fields: 
Technology
Employment type: 
Full time
Remote Position: 
No
Required degree level: 
Other

At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better healthcare, no matter where you work within the Northwestern Medicine system. At Northwestern Medicine, we pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, we take care of our employees. Ready to join our quest for better?

Description

The Data Scientist - Innovation reflects the mission, vision, and values of NM, adheres to the organization's Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards.

Data Scientists are responsible for curation and manipulation of datasets as well as data analysis and algorithm design. If the hardware/software engineers are the canvas & paintbrush, the data engineers/scientists are the artists - there exists a point beyond which they have zero engineering knowledge/background and vice-versa for the hardware/software engineers. The data engineers/scientists use their broad knowledge of applied mathematics and statistics to create new algorithms to interpret, manipulate, and derive actionable insights of highly multimodal clinical and operational data.

Responsibilities:

  • Deeply iterative, collaborative design and development of algorithms directly with end users in patient care and healthcare operations
  • Measurement of mathematical/statistical and compute/throughput performance of algorithms
  • Dissemination and training of algorithms
  • Maintenance and support of existing algorithms including monitoring for degraded performance and adversarial attacks


Qualifications

Required :

  • Three to five years of relevant experience
  • Experience with multimodal unstructured data (2D images, video, 3D/4D tomographic imagery, waveforms)
  • Experience with multimodal structured data (SQL, NoSQL, legacy formats)
  • Experience with "traditional" machine learning and data manipulation methods
    • Orthonormal decompositions (i.e. Fourier, Wavelet, etc.) of data
    • Time-series manipulations
    • Sparse data manipulation
    • Bayesian analysis
  • Experience with "modern" machine learning methods
    • Gradient boosted trees
    • Deep neural networks and their frameworks (Tensorflow, Pytorch, JAX)
    • Bayesian neural networks (TF Probability, Numpyro, Neural Tangents)
  • Optimization methods (gradient descent, Monte Carlo, and others)


Equal Opportunity

Northwestern Medicine is an affirmative action/equal opportunity employer and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status.

Northwestern Medicine is dedicated to providing the most advanced healthcare to the communities and patients we serve. The Northwestern Medicine clinical and administrative staff, medical and science faculty and medical students come together everyday with a shared commitment to superior quality, academic excellence, scientific discovery and patient safety.

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