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Data Scientist – Clinical Intelligence

Job Scam Alert:

Please be cautious of job scams where individuals may contact you through text or other messaging platforms. BioIntelliSense exclusively uses email addresses ending inmail@hire.lever.co or @biointellisense.com for all communications. We do not conduct interviews via text, instant messaging, or pre-recorded video. Additionally, we will never ask candidates to download software, purchase equipment, or provide sensitive personal information, such as bank account or social security numbers.


If you are contacted by someone claiming to be a BioIntelliSense employee using a different email domain about a job offer, please report it immediately to hr@biointellisense.com as potential fraud.


We exclusively post job openings on our official website, LinkedIn, JobTarget, and Indeed.



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 and create a new standard of continuous care that delivers clinical value, economic benefits and operational efficiencies for providers, patients and caregivers globally! 


This Data Scientist will be responsible for executing on the company’s strategy for clinical, technical and operational data products.  They will conduct analyses, develop algorithms, and synthesize data from multiple rich data sources, both internal and external to the company.  They will be expected to work cross-functionally to create clinical intelligence applications, analytical products, and drive internal innovation with the company’s rich data sources.


What you will be doing
  • Scope and develop new data-driven clinical algorithms to detect signs of early deterioration in patients
  • Develop analyses that demonstrate the company’s ability to improve patient outcomes, increase clinician efficiency, and decrease healthcare costs
  • Develop both externally facing and internal dashboards to enable democratization of data insights
  • Deploy and monitor packaged algorithms in production systems, ensuring real-world performance is as expected
  • Support regulatory clearances for our 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
  • BS or MS in statistics, bioinformatics, computer science, engineering or related field
  • Project experience with healthcare data is preferable, such as using ICD-10 diagnosis codes and other electronic medical record information
  • Strong coding skills in Python
  • Experience working with the cloud is preferable (AWS and Databricks)
  • Working knowledge of basic data engineering principles
  • Ability to work in fast-paced startup environment


$80,000 - $100,000 a year

You'll be excited about this opportunity because you will:


- Join a fast-growing company and grow right along with us

- Work on challenging and interesting tech problems which reshape the future of healthcare

- Get the chance to work on cutting-edge technologies

- Make a large impact across the company through business deliverables and continuous innovation

- Opportunity to build solutions and organizations


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.

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CEO of BioIntelliSense
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James Mault, MD
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Average salary estimate

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What You Should Know About Data Scientist – Clinical Intelligence, BioIntelliSense

Are you ready to dive into the world of health tech as a Data Scientist – Clinical Intelligence with BioIntelliSense? Located in the United States, BioIntelliSense is at the forefront of continuous health monitoring and clinical intelligence, empowering healthcare through cutting-edge technology. In this role, you’ll be instrumental in shaping clinical and operational data products that directly impact patient care. Your days will be filled with the excitement of developing new clinical algorithms that detect early signs of patient deterioration, enhancing outcomes, and enabling timely interventions. You'll partner with a talented team of engineers and data scientists, working collaboratively to forge innovative solutions. Your coding skills in Python will come into play as you create dynamic dashboards that transform complex data into user-friendly insights for clinicians. And it doesn’t stop there! You’ll also play a role in supporting the regulatory clearances necessary for our groundbreaking products while managing the performance of algorithms in real-world settings. With a competitive salary range of $80,000 to $100,000 a year, this position offers an incredible opportunity for personal and professional growth as you help to redefine the healthcare landscape. At BioIntelliSense, you won’t just be another employee; you'll be part of a movement, building a new standard of continuous care for patients, providers, and caregivers worldwide. Are you ready to create meaningful change?

Frequently Asked Questions (FAQs) for Data Scientist – Clinical Intelligence Role at BioIntelliSense
What are the key responsibilities of a Data Scientist – Clinical Intelligence at BioIntelliSense?

As a Data Scientist – Clinical Intelligence at BioIntelliSense, your primary responsibilities will include developing clinical algorithms to detect patient deterioration, conducting data analyses to improve patient outcomes, creating dashboards for data democratization, and ensuring the performance of algorithms in production systems. You'll also collaborate with cross-functional teams and support regulatory clearances throughout the product development process.

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What qualifications do you need to apply for the Data Scientist – Clinical Intelligence position at BioIntelliSense?

To be considered for the Data Scientist – Clinical Intelligence position at BioIntelliSense, candidates should possess a BS or MS in statistics, bioinformatics, computer science, engineering, or a related field. Experience with healthcare data, strong Python coding skills, and familiarity with cloud environments like AWS and Databricks are highly preferred.

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What is the salary range for the Data Scientist – Clinical Intelligence role at BioIntelliSense?

The Data Scientist – Clinical Intelligence role at BioIntelliSense offers a competitive salary ranging from $80,000 to $100,000 per year. This reflects the value placed on your skills and contributions to our innovative approach to healthcare.

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What kind of projects will you work on as a Data Scientist – Clinical Intelligence at BioIntelliSense?

In your role as a Data Scientist – Clinical Intelligence at BioIntelliSense, you'll tackle exciting projects that involve developing algorithms for early detection of patient deterioration, enhancing clinician efficiency, and creating actionable insights through advanced data analyses and visualizations. These projects are crucial as they directly contribute to improving healthcare delivery and patient outcomes.

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What does the work culture look like at BioIntelliSense for a Data Scientist?

The work culture at BioIntelliSense is dynamic and collaborative, where leadership is embraced by all employees. As a Data Scientist, you'll work alongside a passionate team dedicated to innovation and continuous learning. The organization values individuals who are proactive in building solutions that shape the future of healthcare while enjoying a supportive environment.

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Common Interview Questions for Data Scientist – Clinical Intelligence
What experience do you have with developing clinical algorithms?

When answering this question, be sure to highlight specific projects where you designed, tested, or implemented clinical algorithms. Discuss your approach to identifying clinical needs, the methodologies you used, and the outcomes of your work.

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How do you ensure the quality and accuracy of your data analyses?

To address quality and accuracy in data analyses, describe your process for validating data, including any tools or techniques you use for checks and balances. Emphasize the importance of attention to detail and cross-functional collaboration in your work.

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Can you describe a time when you had to work cross-functionally?

Share a specific example where you collaborated with other departments, such as product management or regulatory teams. Discuss how you communicated the data findings and how that collaborative effort led to successful outcomes.

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What techniques do you use to visualize complex data for non-technical stakeholders?

When addressing this question, mention specific visualization tools or techniques you prefer and provide examples of how you’ve made complex data accessible to various audiences. Highlighting clarity and simplicity is key.

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What challenges have you faced in healthcare data projects and how did you overcome them?

Be prepared to discuss specific challenges such as data integration issues or regulatory hurdles. Explain your problem-solving strategies and any lessons learned, which demonstrates resilience and adaptability.

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How familiar are you with regulatory compliance in healthcare data projects?

Discuss your understanding of regulatory requirements related to healthcare data, such as HIPAA. Provide examples of how you have ensured compliance in past projects to show your attention to detail in this critical area.

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What role does machine learning play in your work as a Data Scientist?

Share how you have applied machine learning techniques in your projects, including specific algorithms or frameworks you have used. Explain how they have led to improved accuracy or efficiency, providing tangible results if possible.

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How do you stay updated with the latest trends in data science and healthcare?

Mention any relevant blogs, podcasts, courses, or conferences you follow or participate in to stay current. Highlight your commitment to lifelong learning in the rapidly evolving fields of data science and healthcare.

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How would you approach developing a new dashboard for clinical data insights?

Outline your approach by discussing how you gather requirements from stakeholders, sketch out user-friendly designs, identify key metrics to track, and iterate based on user feedback after deploying the dashboard.

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Why are you interested in working for BioIntelliSense as a Data Scientist?

Discuss what draws you to BioIntelliSense, such as its innovative solutions in healthcare, the collaborative work culture, or the company's mission. Your enthusiasm will reflect positively during the interview.

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To make medical grade health monitoring and clinical intelligence ubiquitous and scalable

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Full-time, on-site
DATE POSTED
March 26, 2025

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