NeuroFlow is hiring a

Data Scientist

Philadelphia, United States

Who We Are 
NeuroFlow CEO and West Point graduate Christopher Molaro served in the US Army for five years, including a tour in Iraq as a platoon leader. Coming back home, he experienced firsthand the gaps in the behavioral health system, and upon completing his Wharton MBA, teamed up with co-founder/COO Adam Pardes to launch NeuroFlow in 2017. Beginning as a team of six people working in an office fit for two, NeuroFlow has now grow to over 100 employees across the country, raised money from leading investors in healthcare and technology, and partnered with leading organizations including Capital Blue Cross, Jefferson Health, and The US Air Force, all to achieve a mission of a happier, healthier world.

What We Do:
NeuroFlow integrates behavioral health across the care continuum by assessing and triaging people to get them to the right level of care, providing high-tech and high-touch support for populations that would typically fall through the cracks in today’s healthcare system. Proven to drive better clinical and financial outcomes for leading health systems, payors, and the Department of Defense covering 14 million lives, NeuroFlow’s platform combines consumer engagement with enterprise-level care management software and clinical support services to support integrated behavioral health at scale.

How We Do It:
The award-winning culture at NeuroFlow is one built around encouragement and daring to be great. Our core values have been displayed in our office since day one, and each team member is responsible for carrying out these values and keeping each other accountable to them. We succeed through our flexibility and agility, navigating and transforming an industry ripe for change where “no” or “can’t” is too often the default.  NeuroFlow offers unique opportunities to work in a fun and challenging fast-paced environment with direct, meaningful impact on helping to close the divide between mental and physical health.

Job Summary:

The Data Scientist will work closely with our data science, engineering, and product teams to architect and maintain our data stack, from ingestion through stakeholder consumption.  This includes adhering to engineering best practices and optimizing for future scalability and maintainability.  The Data Scientist will report directly to the SVP of Healthcare Informatics and provide guidance and mentorship in the areas of data science, data architecture, and data modeling to the organization. The Data Scientist will oversee the development of our machine learning pipeline to support operational analytics, including enhancements to our NLP processes and risk stratification algorithms. Additionally, administrate all systems required to support our data infrastructure. These systems include but are not limited to Snowflake, FiveTran, DBT, AWS and AWS SageMaker.  This role requires an individual who is adept at the technical aspects of data analysis, industry leading data science methods, and also the project management skills needed to lead strategic initiatives and liaise between departments. This will require an optimistic ‘can do’ personality with strong communication skills and the ability to meet aggressive project completion timelines.

Key Responsibilities:

  • Data Strategy: Execute the department’s comprehensive data and analytics strategy that aligns with the company's objectives and the healthcare industry's evolving needs.
  • Team Leadership: Manage project and partner and develop data analysts by providing guidance and mentorship.
  • Machine learning and Data Analysis:  Hands-on experience in a wide range of supervised and unsupervised approaches including classification and multiclassification problems. Also performs analysis of complex data sets to identify trends, patterns, and insights that inform company strategy and decision-making.
  • Cross-functional Collaboration: Partner with various departments (e.g., IT, operations, clinical teams) to understand their data and analytics needs and provide support.
  • Project Management: Manage multiple analytics projects, ensuring they are delivered on time, within scope, and within budget.
  • Innovation and Improvement: Continuously seek out and implement improvements in analytics methods and tools to enhance the team's capabilities and the company's competitive edge.
  • Vendor Management: Evaluate and manage relationships with external vendors providing analytics tools or services.
  • Compliance and Ethics: Ensure that data management and analysis practices adhere to ethical guidelines and comply with relevant healthcare regulations (e.g., HIPAA).
  • Stakeholder Communication: Communicate complex analytical concepts and results to non-technical stakeholders, facilitating data-driven decision-making across the company.

Required Qualifications:

  • Bachelor's or Master's degree in Analytics, Statistics, Computer Science, Health Informatics, or a related field.
  • Significant experience in data analytics or business intelligence, preferably within the healthcare sector.
  • Strong leadership skills with a track record of managing and developing high-performing teams.
  • Proficiency in data analytics tools, statistical computing, and data science platforms (e.g., SQL, R, Python, AWS, AWS Sagemaker, Glue) and business intelligence platforms (e.g., Tableau, Power BI).
  • Excellent project management skills with the ability to manage timelines, resources, and stakeholder expectations.
  • Strong understanding of the healthcare industry, including regulatory and compliance environments.

Preferred Qualifications:

  • 4+ years of experience with advanced analytics techniques, such as predictive modeling, and machine learning.
  • 3+ years working with medical data for population analysis in the areas of suspect diagnosis, severity stratification, and therapy adherence. 
  • Knowledge of healthcare data standards (e.g., HL7, FHIR) , medical claims and EHR systems.
  • Proven ability to translate analytics into strategic insights that drive successful business outcomes.

Tools and Platforms:

  • Experience with the following tools and platforms will be required: SQL, Python, AWS Redshift, AWS Sagemaker , VSCode,  Jupyter Notebook, Git , Azure, Pandas, Scikit-learn, tidyr, ggplot2, Tableau, TensorFlow, NumPy, R, SAS, Docker (a plus), 

Company Benefits:

*Applicable for full time employees

Flexible work schedule, unlimited PTO, physical and mental wellness benefits, medical coverage, parental leave, 401K, company-sponsored events, referral program, onsite gym, dog friendly office, snacks in the office, commuter benefits, onsite massages.

What We Believe:

NeuroFlow is a proud equal opportunity employer. Every day we are working to tackle the mental health crisis in America, and in order to do that well, we need diverse voices, experiences, and perspectives at the table. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. 


*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are typically done which will ensure an equal employment opportunity without imposing undue hardship on NeuroFlow. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process.

 

As a HIPAA compliant organization

All team members shall:

  1. Act in accordance with NeuroFlow’s Information Security Policies.

  2. Protect organizational assets from unauthorized access, disclosure, modification, destruction or interference.

  3. Report security events or other risks to the organization

  4. Execute organizational security processes or activities

  5. Perform security responsibilities that defined and communicated for their role

  6. Be responsible for their actions regarding the security of organization

 

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