Lead Data Scientist - Gaido Health - MedTech Startup at BCG Digital Ventures

| Greater LA Area
!Sorry, this job was removed at 11:14 a.m. (PST) on Thursday, June 20, 2019
Gaido Health is a young medical device company which has been incubated and funded by BCG Digital Ventures and a leading global pharmaceutical company. The vision of Gaido Health is to transform patient care through convenience, improve patient outcomes and reduce costs to the overall healthcare system. We are preparing to commercialize our first solution which is a new medical remote monitoring solution using an AI-powered device agnostic platform, supported by a robust protocol and algorithm and are building a team of world class, skilled, and passionate people to pursue our vision.
Gaido Health is well positioned to disrupt the multi-billion dollar home monitoring industry and are looking for the very best talent to achieve this goal.
If you are a top performer and eager to join an exciting company with a strong passion for changing healthcare then please get in touch.
BCG Digital Ventures is an ever-growing global team of entrepreneurs, designers, engineers, product experts and investors. We invent, build and launch startups with the world’s most influential companies. The business ventures we create build strategic advantages for the most important global companies enabling them to own the next horizon of innovation.
We are getting ready to launch and scale a stealth startup, ready to transform the medical remote monitoring space. We are building an AI-powered device-agnostic platform, supported by a robust protocol and algorithm. With funding already in place, this startup is well positioned to disrupt the multi-billion dollar US home monitoring industry, with a readiness to transform patient care through convenience, better patient outcomes and reduced costs to the overall HC system.  
We are looking for a Lead Data Scientist to help scale a new data science team for this disruptive startup.

In your role as the Lead Data Scientist, you will:

  • Research, design, implement and evaluate machine learning algorithms and statistical models for bioinformatics applications. Generate internal implementations to achieve results on NewCo applications
  • Work closely with back/front end and iOS engineering teams to drive scalable, production-ready implementations
  • Collaborate with teams across the company and serve as an internal expert on technical issues
  • Document technical work as part of the product development process.
  • Support patent application and scientific paper publishing process
  • Contribute to our evolving cloud infrastructure, data engineering pipeline, and analysis stack
  • Contribute to our data strategy design and implementation
  • Identify technical challenges, define requirements and prioritize efforts
  • Assist with defining requirements and architectures for next-generation machine learning / statistical analysis products
  • Contribute to scientific software engineering efforts, utilizing professional coding standards and participating in reviewing PRs
  • Contribute data enrichment and data monetization process
  • Contribute medical devices tests and evaluation process
  • Help scale data science team 

As a Lead Data Scientist, You Will Have the Following Experience:

  • PhD in Bioinformatics, Computer Science, Engineering, Computational Biology, Computational Physics and +4 years of relevant experience OR Master's degree (related degree above) and +8 years relevant work experience.
  • Previous experience in Biotech or Life Science related field required. Work experience with medical devices and apps are preferred. Experience with medical data like EHR and EMR is a big plus.
  • Advanced understanding of scientific process and analysis of empirical data. Demonstrated ability to design experimental analyses which result in meaningful conclusions. Additionally, demonstrated ability to work with experimentalists when planning physical experimental design.
  • Probability distributions, classical hypothesis testing, multivariate regression, time series analysis. Ability to correctly apply probability theory/statistics across multiple domains with little or no guidance. Assist and mentor data scientists on nuances of applied statistical analysis particularly with regards to challenging problems.
  • Machine Learning: classification, regression, clustering; Demonstrated ability to apply deep learning approaches to categories of machine learning problems.
  • Algorithms: Fundamental data types (stacks, queues, etc.); Sorting algorithms (quicksort, mergesort, etc.); Dynamic programming
  • Strong communication skills to work with stake holders, team members and other engineering team colleagues
  • Proficiency with programming languages such as: Python, R and capability in writing production level code. Experience with Java is a big plus. Proficiency in ML/scientific computing libraries. Ideally some background with OOP design
  • Familiarity with collaborative software engineering practices, including version control (Git), code reviews, JIRA, Confluence.
  • Familiarity with cloud computing and developing cloud base APIs
  • Ability to architect and implement machine learning or data science solutions with specific skills mentioned in rows above; Strong foundation in machine learning, mathematics, statistics, with demonstrated professional or academic experience
  • Travel Requirements:
  • Less than 25%

To learn more, visit us at careers.bcgdv.com/learn-more
Interested applicants may apply through the careers section of the website at BCGDV.com. Interviews will take place after resumes have been screened for minimum requirements. Please note that this position is not restricted solely to the responsibilities listed above and that the job scope and responsibilities are subject to change.

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