You’ve studied and worked hard to become one of the best in your field.  Why not apply it to a mission aligned with radically improving human health and longevity?

Join us in discovering health insights hidden in vast amounts of Medical data and LIFEdata™.

(If you know someone who’s a perfect fit for one of our open positions, ask them to list you in our application as the referral source and we'll pay you a $5,000 cash award after your high-quality referral has been hired and on the job for 90 days.  It's just our way of saying thanks.)

Opportunities

We are building a team of intensely analytical and creative people who bring a mix of life sciences, technology, and relevant experience from inside and outside the healthcare industry.

As an early team member, you'll be able to reimagine aspects of healthcare as a science and business, work across the computer, data, and life sciences, innovate into a new frontier, be well compensated in cash + equity + benefits, and especially, work on a meaningful endeavor designed to enhance human quality of life and longevity.

Ask Yourself...

...which type of business do you prefer?

Risk-Reward

...where would you rather apply your talents?

Virtual Emojis

VS.

Neurologic Health

About You:

  • You are someone who loves the notion of asymmetric reward for risk, but are proactive, flexible, and understand that an early stage start-up role does not begin with typical large corporate infrastructure.
  • You are comfortable with being part of a growing company, which ultimately will involve handing off responsibilities as that growth occurs.
  • You comprise a mix of strong analytical capabilities, sharp business acumen, and a “get stuff done” mentality.
  • You have the entrepreneurial ability to own initiatives from ideation to completion, and are detail-oriented, dependable, proactive, and independent.
  • You thrive on turning ambiguity and chaos into a coherent and cohesive plan.
  • You are curious, tenacious, and want to work hard with our team on difficult, important challenges.
  • You are great at problem solving and have loads of hustle and prior operational experience.
  • You are excited about playing a pivotal role in helping to shape and build BioTrillion.
  • You thrive in an intense environment, anticipate unprecedented challenges remain focused on the vision, are driven to succeed, and are motivated by long-term rewards.
  • You get excited about making today's approach to healthcare look dinosauric in a few years.

When building something unprecedented, there is a degree of urgency, resourcefulness, responsiveness, and inventiveness at every level that drives the team and the organization forward.  In this phase, magic can happen with the right ownership mindset.  And we beleive in sharing in this ownership.

If this opportunity sounds like it was written for you, we encourage you to fill out our thought-provoking application at the bottom of this page. We have a very high bar for interviews, kindly bear with our responsiveness.

Senior Computer Vision Engineer

This role will experience virtually all aspects of start-up growth, and help develop BioEngine4D to digitally detect developing diseases from insights hidden in vast amounts of Medical data + LIFEdata.

Key Requirements:

  • Degree(s) in a Computer Engineering, Computer Vision, Computer Science, or related field.
  • 7+ years' experience in a computer vision engineering position, preferably working as a Senior Computer Vision Engineer.
  • Expertise in OpenCV and other frameworks/toolkits and how they function at the fundamental machine level and Linear Algebra level.
  • Experience developing large scale, deployable, complex products.
  • Expertise in Computer Vision, such as feature/color spaces, algorithms, filters, non-linear optimization, etc.
  • Expertise in Machine Learning, e.g. dcNNs, decision trees, statistics/probability theory for object detection methodologies and related frameworks (e.g. TensorFlow, Caffe, etc.).
  • Strong Python, Obj-C, and shell programming experience and solid experience with data analytics, predictive and prescriptive data.
  • Experience leading a team of computer vision engineers.
  • Solid references.

Example Responsibilities:

  • Design and implement algorithms for feature extraction, signal processing, classification from optically generated image data.
  • Develop advanced computer vision techniques for use in phenotypic disease measuring using consumer smart device technology.
  • Acquire ground truth metrics to cross-validate, analyze, and evaluate image data.
  • Build and lead a team of computer vision engineers, while motivating and monitoring them to ensure deadlines and milestones are met successfully.
  • Support CEO/CTO with R&D, novel discoveries, training data for BioEngine4D.
  • Work with our UI/UX developer team building consumer iOS application.
  • And much more across the domains of computer vision, machine learning, and physiology.

Head of Data Science

This role will experience virtually all aspects of start-up growth, and help develop BioEngine4D to digitally detect developing diseases from insights hidden in vast amounts of Medical data + LIFEdata.

Key Requirements:

  • Degree(s) in a Computer Science, Engineering, or a related field.
  • 7+ years experience in a data science position, preferably working as a Senior Data Scientist.
  • Solid experience with Data Analytics, predictive and prescriptive data models (ML and AI).
  • Solid experience with Computer Vision (including ML for image classification).
  • Some proficiency in Physiology and Medicine
  • Experience with ML techniques/libraries/algorithms (k-NN, Naïve Bayes, SVM, Random Forests, cuDNN, MATLAB, PyTorch, etc.).
  • Excellent skills in statistical and modeling packages such as SAS, Statistica, MATLAB, R, and other advanced analysis tools.
  • Expertise in data management programming and familiarity with the workings of time-series analyses.
  • Proficient and experienced in scripting languages with rapid prototyping skills (fluency in SQL, Python, Java, etc.).
  • Strong written/verbal communication skills.
  • Outstanding skills in the use of MS Word, MS Excel, PowerPoint, and Outlook for the creation of both visually and verbally engaging reports and presentations.
  • Exceptionally good skills in SQL server reporting services, analysis services, Tableau, integration services, and other data visualization tools.
  • Solid references.

Example Responsibilities:

  • Play the role of leading innovation within BioTrillion, and define how the Company creates additional value through the utilization of our data assets and analytics.
  • Identify and monitor key business risks and realize the data needs of BioTrillion.
  • Manage junior data science teams and oversee all activities to ensure alignment with company-wide vision.
  • Scope, design, and implement ML models to support BioTrillion’s mission to leverage Life data for use in disease detection and monitoring.
  • Drive experimental data modelling designs within BioTrillion to evaluate changes, track performance, and provide valuable insights.
  • Maintain a deep understanding of BioTrillion’s dynamic technical marketplace.
  • And much more across the domains of AI, deep learning, machine learning, and physiology.

Director of Operations and Execution

This role will experience virtually all aspects of start-up growth, contribute to and learn from experienced execs, and support the CEO and CTO with many versatile duties across the business and technical ends of the spectrum.

Key Requirements:

  • 5+ years of operational, investment banking, or consulting experience and education in health, biology, engineering.
  • Excellent written/verbal communication and relationship-building skills.
  • Ability to communicate and influence effectively by presenting complex information in a compelling visual and written way.
  • In-depth knowledge of diverse business functions and principles (e.g. finance, regulatory affairs, etc.).
  • Analytical skills to evaluate data and make operational decisions.
  • Outstanding skills in the use of Word, MS Excel, PowerPoint, and Outlook for the creation of both visually and verbally engaging reports and presentations.
  • Solid references.
  • Healthcare and/or startup experience highly preferred.

Example Responsibilities:

  • Entrepreneurially and proactively drive ongoing operational business and engineering milestones for a rapidly growing company.
  • Network with high profile execs and facilitate investor and public relations.
  • Work with governmental, academic, and foundation organizations offering sources of R&D funding.
  • Assist with managing external partners, clients, contractors, and BD relationships.
  • Identify and develop revenue opportunities, model, and financial projections.
  • Support CEO/CTO with investigation key discoveries and training data for BioEngine4D.
  • Work with our UI/UX developer team to build consumer application.
  • And much more across business and technology.

Intern(s)

This role will experience virtually all aspects of start-up growth, contribute to and learn from experienced execs, and support the CEO and CTO with many versatile duties across the business and technical ends of the spectrum.

We are seeking someone who is…

  • Excited about the opportunity to work in a start-up setting, in which you will experience virtually all aspects of start-up growth, wear many hats, and contribute to the fast-paced evolution of the Company.
  • Interested in many aspects of the Company, and willing to learn new skills to contribute to various areas of the business.
  • Able to thrive in a fast-paced, intense environment and has a “get stuff done” mentality.

Key Requirements:

  • Working towards a degree in Computer Science, Engineering, Life Sciences, Business, or related discipline.
  • Excellent written/verbal communication and relationship-building skills.
  • Skills in MS Word, MS Excel, and MS PowerPoint.
  • Excellent analytical skills .
  • Solid references.

Example Responsibilities:

  • Assist with ongoing business and engineering requirements for a rapidly growing company.
  • Support execs and team-members with R&D (both business- and technology-related).
  • Work with external developers to build consumer application.
  • Work with governmental, academic, and foundation organizations offering sources of R&D funding.
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