Clinical Data Scientist Manager

Our Team

Dandelion Health was founded in 2020 by experts in health tech, hospital systems, academia, and clinical AI. We are building the world’s largest AI training and clinical development platform. Today, we pride ourselves on our ability to make data access as easy as possible for AI developers, pharma, and medical devices, while raising the bar for patient safety and data quality. Tomorrow, we will be the place where any healthcare organization can go to build a responsible clinical AI product. Our culture is all about learning from data and improving, so we can help our clients improve health through AI. Meet the rest of our team here.

Our Data

We partner with health systems to safely and ethically make their de-identified patient data available to AI developers. Currently, the data is acquired from Sharp HealthCare, Sanford Health, and Texas Health Resources – with two additional U.S. health systems joining soon.

We have clinical data dating back to July 1, 2016. This data represents over 10 million patients and includes but is not limited to:

• Structured data (e.g., 100% of the EMR, including some claims)

• Unstructured text (e.g., clinical notes, radiology reports)

• Images (e.g., DICOM, pathology)

• Video

• Waveforms

• Continuous streaming monitoring data

Your Role

You are a data scientist manager who knows your way around healthcare data and has experience both as an individual contributor and as a leader of a team of data scientists. Your primary responsibility is to lead and oversee the creation and maintenance of AI-ready datasets for clients in our AWS environment. You will work across the organization to drive impact by managing data scientists, curating datasets, and pooling multimodal data to enable rapid exploratory AI/ML analyses, model experimentation, and/or model validation. You will use your people leadership, project management, analytical expertise and critical thinking skills to support our technical, product and growth teams. Your team’s ultimate goal is to deliver the highest-quality data possible to our clients, who are building products that improve patient health. You will report to the Chief Data Officer.

Responsibilities

Your responsibilities will include the following:

• Structure, plan, and lead multimodal clinical data projects from ideation to delivery

• Manage direct reports as a player-coach, including hiring, developing, and motivating technical team members

• Query complex health data sources (e.g., EMRs, ECG data, DICOM data) to explore, clean, and operationalize new data sources as they become available and lead the development of streamlined, scalable data models

• Support the design, testing, validation, analysis, and merging of multimodal data structures from various source systems

• Provide thought leadership and technical insight for developing harmonized datasets

• Support all phases of SQL/analytical programming, data management, quality control, and reporting

• Develop and review code and documentation to deliver high-quality, HIPAA-compliant data products to customers on time

• Support the technical product team in advancing development of the suite of data-related product offerings

• Act as the primary technical point of contact (with Customer Success) for client deliverables, communicating clearly and professionally

• Present confidently to senior leadership and external audiences, including client stakeholders

• Ensure accuracy, data integrity, and validity of all data and analysis

• Mentor junior staff with project feedback and code review

You are not afraid to tackle massive, confusing, and disorganized new datasets and get them under control. You are eager to learn new environments, languages, and skills. As a member of an early-stage company with big ambitions, everyone pitches in across the team as needed.

Qualifications

• M.S. or PhD in Data Science, Biomedical Informatics, Biostatistics, Statistics, or a related field with at least 3+ years of relevant experience, or B.S. with at least 7 years of experience in an applied quantitative field

• At least 2 years of experience directly managing and leading data science teams, including experience with people and project management

• Experience communicating both technical details and overall team strategies

• Strong background in statistical modeling and information theory concepts

• Fluency in Python and SQL; experience with dbt is a strong plus

• Hands-on experience with extracting, curating, and analyzing data created within HIT and healthcare delivery (e.g., EMR, claims, registry)

• Understanding of data exchange/content standards (e.g., FHIR, CDA, CQL) and clinical terminology standards (e.g., ICD, CPT, LOINC, SNOMED-CT, NDC, RxNorm)

• Strong technical writing, editing, communication skills, and a collaborative mindset

• Excellent organizational skills, adaptability to change, and ability to manage multiple projects to meet deadlines

• Experience working in or with startups is a plus

Technology Experiences and Skills
Candidates should be interested in growing their skills and working with healthcare data in all its complexity. The Data Team works closely with Engineering to deliver client needs.

• SQL

• Python and/or R

• Git and version control

• Familiarity with encryption and regular expressions

• Experience querying EDWs/databases and creating reports/analytics for healthcare data

• Familiarity with electronic medical record systems (e.g., Epic, Cerner, Allscripts)

• Experience with insurance claims data

• Knowledge of medical terminologies and controlled vocabularies (ICD-10, SNOMED-CT, LOINC, CPT/HCPCS, NDC, RxNorm)

• Medical ontology experience (a plus)

• NLP experience (a plus)

• Experience with DICOM or other imaging modalities (a plus)

• Experience with OMOP common data model

• Familiarity with machine learning concepts

• AWS experience

Note: Familiarity with machine learning model development/deployment is not required, but an understanding of high-level ML concepts is a plus.

Nature of Our Work
Our work is fast-paced and iterative. We are growing and support our team members’ development. We value diversity of perspectives, experimentation, and continuous improvement. We work with the full spectrum of healthcare data — tabular, videos, images, waveforms, and more. If a health system collects it, we may work with it!

If this seems like a partial fit, please reach out. We would love to share more about the work we do to help you determine if it’s the right fit for you.

Other Details

• Occasional travel for in-person company working days (approximately quarterly)

Team Benefits

• Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum

• Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details

• Professional development days to build your skills

• Collegial work environment

• Academic bent towards inquiry and problem solving but start-up speed and flexibility

• Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively

• Dandelion is a mission-driven company that is focused on improving patient care