Data Scientist

What is Bigfoot Biomedical?
 
Bigfoot believes people living with insulin-requiring diabetes deserve relief from its daily burden. We envision a world where the emotional, mental, physical, and financial burden of diabetes has been significantly reduced. We are passionately dedicated to delivering simpler, safer, and more effective solutions for life with insulin.
 
We are personally committed to the mission of improving the lives of people with diabetes through the application of smart technology. We bring deep and nuanced understanding of customer needs, demonstrated technical capabilities in developing and commercializing technology, and proven business acumen in funding and growing startups into profitable publicly traded enterprises.
 
What we are building at Bigfoot Biomedical
 
Bigfoot is building diabetes management solutions integrating data, software, smart devices, and people. This is your chance to join a small but very talented team!

We are growing our data science team and seek someone with strong data science competencies to make sense of our ever-expanding data resources.

The successful applicant will work closely with leadership, product management, design, clinical, and engineering stakeholders to develop models, simulations, reports, requirements, tests, and other design-transfer mechanisms from myriad data sources in order to inform business, regulatory, clinical, and product development activities.

You have deep competency and experience with statistics, probability, and modeling. You use analysis tools like Matlab on a daily basis. You bring insights from data at key steps in the product development process: customer needs elucidation, requirements, product design, concept engineering trade studies, development engineering, verification, validation, clinical trials, launch, and post-market support.
What will you do at Bigfoot Biomedical?

 

What you do here at Bigfoot will largely be defined by your existing skills and desire to grow to help us achieve the above. We have an employee-friendly working environment that provides bike racks and showers, lunch and snacks, and flexible hours. Our culture helps us stay focused on our goals.
 
We have competitive benefits. We have a great team culture. We understand that we all need to succeed as a team. We have fun while we're building a solution we can be proud of.

 

If you're ready to make a dent in the universe, join the mission, and feel like what you do every day isn't just a job, come talk to us!

 

Bigfoot Biomedical, Inc., provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law.

    Essential Duties and Responsibilities

    • Quickly bring clarity to business, clinical, product design, and engineering challenges.
    • Work with stakeholders to plan approach and define success.
    • Use tools such as Python/R/Matlab to turn data into knowledge which can be used to drive decisions.
    • Capture insights in appropriate form.
    • Share, publish, and present results as appropriate.

    Must haves we're looking for

    • 5+ years data science experience
    • Expert knowledge of analytical techniques: distribution fitting, multivariate statistics, stochastic modeling, timeseries modeling, design of experiments, Monte Carlo methods, robust statistics, sampling, segmentation, clustering, hypothesis testing, regression, forecasting
    • Analytical language and framework familiarity: experience with and ability to assimilate tools like Python, Matlab, R, Hadoop, SAS, JMP, Tableau, d3js
    • T-shaped: strong in data science, but also strong capabilities to deliver actionable results in a collaborative startup environment: excellent pragmatic problem solving, data-driven problem solving approach, extreme attention to detail, curiosity and a demonstrated ability to learn and grow new skills and experiences
    • Strong interpersonal skills and the ability to work effectively with all levels of the organization.
    • Excellent written and verbal communication skills.
    • Self-motivated, highly organized and able to prioritize and manage multiple projects simultaneously.
    • Entrepreneurial drive and demonstrated ability to flex across a variety of roles in an innovative, fast-paced, start-up environment.

    We'd prefer if you also have

    • Data visualization skills: quickly and effectively “tell the data story”; draw from a large portfolio of visualization techniques to bring salient points forward to stakeholders for whom statistics may not be a core competency
    • Domain expertise: knowledge of diabetes, knowledge of control engineering: feedback control, discrete and continuous time transfer functions, system identification, PID, model predictive control
    • Lean / agile experience: scrum teams, daily standups, time-boxed development, visual management systems, peer collaboration
    • Data munging / data wrangling proficiency: demonstrated ability to collect, extract, transform, clean, and combine structured and unstructured data from myriad sources

    Educational Requirements

    • Master’s degree in a field related to data science: mathematics, statistics, computer science, engineering, physics, machine learning, data mining, actuarial science, econometrics