Early Detection Made Simple™
Denver, CO based BioIntelliSense, Inc., founded in 2018, is an award-winning continuous health monitoring and clinical intelligence company. Our market acceleration and expansion are driven by world-class executive management and a dedicated team of engineers, data scientists, commercial and operational professionals, which collectively harness decades of expertise in virtual care innovations, wearable sensor development, remote connectivity solutions and successful program execution. With these distinctive capabilities and proprietary continuous Remote Patient Monitoring (cRPM) technologies, BioIntelliSense is uniquely poised to transform care delivery from in-hospital to home.
The FDA-cleared and award-winning BioButton® multiparameter wearables, BioHub™ gateways, BioMobile™ downloadable applications, BioCloud™ data services and the BioDashboard™ clinical intelligence system creates a comprehensive tech-enhanced solution that makes continuous monitoring reliable and scalable. Through the platform’s AI-driven analytics, clinicians have access to high-resolution vital sign trending and data-driven insights to enable earlier detection of patient deterioration and proactive intervention for better, safer care.
Join the BioTeam today
Create a new standard of continuous care that delivers clinical value, economic benefits and operational efficiencies for providers, patients and caregivers globally!
What you will be doing
- Collaborate with executive team, cross-functional leaders, and key customers to align data science initiatives with overall business objectives
- Lead (and continue to build) a world-class data science team, focusing on team output, goal alignment, and tactical execution of key projects
- Scope and develop new data-driven clinical algorithms to detect signs of early deterioration in patients
- Define and lead analyses that demonstrate the company’s ability to improve patient outcomes, increase clinician efficiency, and decrease healthcare costs
- Deploy and monitor packaged algorithms in production systems, ensuring real-world performance is as expected
- Support regulatory clearances for new products, and ensure that proper documentation is maintained throughout all stages of development
- Engage with product, regulatory, and program management functions to understand key requirements and communicate progress towards milestones
What you need
- MS or PhD in statistics, bioinformatics, computer science, engineering or related field and 3+ years of management experience
- 4+ years of work experience as a data scientist, preferably in healthcare settings
- Familiarity with traditional healthcare data streams such as ICD-10 diagnosis codes and other electronic medical record information
- Strong coding skills in Python
- Strong experience working with cloud platforms and technology stacks (AWS and Databricks preferred)
- Broad knowledge of data technologies and processes: Cloud, Unstructured, Big Data, MDM, Data Quality, ETL
- Proven track record driving complex projects from initiation to completion
- Exceptional communication skills, including interfacing with external stakeholders and presenting to executive leaders
- Ability to work in fast-paced startup environment
Why You'll Love Working at BioIntelliSense
- We are leaders - Leadership is not limited to our management team. It's something everyone at BioIntelliSense embraces and embodies.
- We are doers - We believe the only way to predict the future is to build it. Creating solutions that will lead BioIntelliSense and healthcare industry is what we do.
- We are learning - We're not afraid to dig in and uncover the truth, even when it's inconvenient. Everyone here is continually learning on the job.
- We have great benefits - Medical/Dental/Vision/Life, disability (STD & LTD), 401(k) auto contribution program, 11 paid holidays per year, generous paid time off and a weekly lunch perk.
BioIntelliSense is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran, disability status or any other status protected under federal, state or local law.