Lead Research Data Scientist - Multimodal Clinical Data

Cincinnati Children's•Orlando, FL

7d•$100,526 - $130,686•Onsite

About The Position

As a Lead Research Data Scientist, you will provide technical leadership and strategic direction across multiple high-impact research initiatives while helping shape the future of data science and AI applications in pediatric healthcare. This is a unique opportunity to apply data sciences to one of the most urgent problems in pediatric medicine: understanding, predicting, and helping prevent mental health crises in young people. We're seeking a Research Data Scientist to join Cincinnati Children's Hospital Medical Center (CCHMC)'s Decode Program and work across three interrelated, frontier-pushing efforts. In support of the first initiative, you'll identify, ingest, and test remarkably diverse clinical and biological data - from thought markers to biomarkers - and integrate it with virtual humans. As part of the second initiative, you'll help build a reusable, standardized national multimodal data repository for a flagship federal health program - a resource designed to power not only today's work but future initiatives for years to come. And in the final initiative, you'll help move a clinical mental-health risk-prediction model out of shadow-mode evaluation toward real clinical impact. This is a hands-on, cross-project research and methods role centered on identifying, ingesting, testing, and curating heterogeneous multimodal clinical and biological data into high-quality, reusable resources, integrating that data with virtual humans. In the near term, much of the emphasis will be on integrating disparate datasets including clinical notes, environmental data, biometric devices, and other modalities for use by virtual humans and clinicians. The successful candidate is comfortable working with messy, varied real-world data sources (structured clinical data, free text, thought markers, biomarkers, and digital/physiological signals), building well-documented and standardized datasets, and collaborating closely with clinicians, computer scientists, data scientists, developers, and biostatisticians.

Requirements

Master's degree in computer science, statistics, economics or related fields
7+ years of work experience in a related job discipline

Nice To Haves

Experience in other IT roles or functions such as quality assurance/testing, development, enterprise architecture, or project management.
Demonstrated the ability to manage large data science projects and various teams
3+ years of relevant project experience in successfully launching, planning AND executing data science project

Responsibilities

Guide and inspire the organization about the potential and strategy of data science and artificial intelligence.
Work with teams to understand, document and respond to requirements to meet moderate to highly complex analytic needs and identify data-driven opportunities.
Responsible for a portfolio with metrics and analytics for a particular domain or at enterprise level.
Communicate and follow Data/AI Governance principle.
Participate in Enterprise level initiatives to mature data science at CCHMC.
Create and evangelize datasets using Enterprise data preparation tools.
Display drive and curiosity to understand the business/clinical process and collaborate with domain experts to better understand the system workflows and generation of data.
Drive & develop standards and best practices for reports, presentations and visualizations to share insights with clinical, operational and research teams.
Collaborate with data engineers, Xops teams and appropriate IT teams to automate and deploy solutions using established best practices, including source control and continuous monitoring.
Integrate performance management and data quality tools into the current business infrastructure.
Lead comprehensive efforts to improve quality throughout the organization.
Serve as the analytic liaison to cross-functional leadership/management teams that collectively are charged to improve outcomes and care for a designated customer base.
Make colleagues and customers aware of Data/Analytics resources, including knowledge base, skill sets, prior experience.
Provide coaching, mentoring and support to Analysts who are customers' primary analytic contacts, offering guidance on best ways to meet customers' needs, including relevant historical information, availability of other analytic resources, and direct meeting of needs.
As needed, serve as the customer's analytic consultant, and primary point of analytic contact.
Help develop system-wide plans to build customers' internal capacity for reporting and for basic analysis.
Determine plans for building internal capacity.
Develop mastery in IT skills in coding languages (Python, R, etc) and database programming languages for both relational and non relational data structures.
Develop expertise in data wrangling, data mining, data & quantitative analysis.
Develop proficiency in distributed data/computing tools: MapReduce, Hadoop, HIVE etc.
Become proficient in using the Enterprise Data tools as appropriate.
Develop strong understanding of Xops methods to partner on data pipelines.
Develop ability to communicate complex results to technical and non-technical audiences, using story telling and creative visualizations.
Continue to upskill through courses, local academia, networking etc.
Ability to mentor & coach junior level data science analysts.
Provide managerial support to direct reports including oversight on the quality initiatives supported.
Ensure that teams have the resources they require, and that clinical partners feel that they are well-supported.
Work with initiative leaders and clinical partners to prioritize requests.
Ensure that leadership remains aware of customers' goals and activities, and how analysts assigned to customers can proactively meet those needs.
Communicate strategic vision and tactical plans for customers regularly with the leader and team.
Escalate issues when necessary, for resolution with CCHMC senior leadership.
Participate in related team meetings.
Participate in strategic thinking about Data/Analytics human and technical infrastructure to optimize ability to provide analytic support to meet objectives and goals specified in CCHMC strategic plan.
Mentor and develop the analytic skills of less experienced analysts within the group.
Develop training and on-boarding materials for new hires.
As needed, assist in the development of materials and support for Training Courses.