Senior Data Scientist, Minnesota, 2017-01
The World Health Organization recognizes psychiatric disorders as the largest clinical problem in the world in terms of Disability Adjusted Life-Years with an estimated 350M people suffering from major depressive disorder (MDD) alone. Medibio understands that fewer than 10% of individuals receive optimal treatment upon initial assessment, resulting in reduced quality and quantity of life. We want to make it our mission to improve that.
The current state of the art diagnostic tools for clinicians are limited to questionnaires and subjective analysis of lifestyle and emotional response. To help us to continue to provide objective, biomarker-based analytical tools to clinicians at the point of patient contact, we need passionate visionaries who seek to reduce the impact of psychological disorders and aid in proper diagnosis. If you want a career that will challenge and engage you and one where the reward of seeing people get the support and help they need, then Medibio may be the place for you.
Medibio has compiled the world’s largest dataset of physiologic recordings combined with associated psychiatric assessment. The company is now seeking a top notch Senior Data Scientist for our Melbourne office. This position will join a world-wide team made up of fascinating people in order to help us establish a presence in the land of 10,000 lakes. We are looking for people who want to have fun, understand what it means to have a start-up mentality, are passionate about the work Medibio is doing, own their work while successfully collaborating in functional and cross-functional teams.
The Sr. Data Scientist will assist in the sensing, discovery, and the development of biomarkers related to classification of mental health disorders. The role will entail working with clinical and ambulatory sensed data related to physiologic signals and behavior patterns.
- Collaborate with a team of doctors, engineers, and fellow data scientists around product goals and novel sensing modalities.
- Research and develop methods for extracting parameters associated with human physiology.
- Develop validated models associated with neurophysiological disorders.
- Document and communicate results to the team in preparation for regulatory filing.
- Passionate for developing products to serve patients and make lives better
- Entrepreneurial, independent and collaborative with previous experience working in a fast-paced start-up.
- Drives towards a positive outcome as the work you will do will directly impact the standard of care worldwide
- A degree in Biomedical engineering, Statistics, Mathematics, Computer Science or other scientific fields (or equivalent experience). PhD preferred, but equivalent experience considered
- 7+ years of experience developing models and insights from physiologic time-series data
- Experience working with ECG (or other cardiac signals), EEG, and/or clinical PSG data a huge plus.
- Proficiency with Python (daily user) and associated tools including pandas, sklearn and visualization packages. Coding (GitHub) references welcome
- Deep knowledge and experience in signal processing, feature engineering, machine learning and statistical validation
- Ability to innovate features and models beyond basic routines to meet performance objectives
- Excellent written and verbal scientific communication and time management skills
- Sensor (ideally physiological) experience – Understanding the common errors, and means (physics) of sensing to troubleshoot issues in data cleaning
- Experience with subjective (noisy) labels – If you have worked with interpreting and mapping noisy labels, that would be fantastic!
- Experience with experimental design and working with academic collaborators
- Familiarity with health and medical regulatory processes
We are an Equal Employment Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other proscribed category set forth in state or federal regulations.