Most Loved Workplace® Certified JobNLP / LLM Data Scientist
Most Loved Workplace® Certified JobAbout the Role
At Primary Venture Partners , a Most Loved Workplace® certified employer in the Financial Services space, Partnering with founders to build transformative companies at moments of maximum risk..
You are a residency-trained physician who also knows your way around electronic health record data and can code. Your primary responsibility is to create AI-ready datasets for our clients in our AWS environment. This will involve working across the organization with both engineers and clinical scientists to build our own clean, reproducible datasets and code base. Your team’s ultimate goal is to deliver the highest-quality data products possible to our clients, who are AI developers building products that improve patient health. You bring your clinical and data skill sets together in the following ways: Interacting with clients—ranging from AI startups to established life sciences companies—to understand their clinical data needs, and translate semantic concepts (e.g., “fatty liver disease”) into queries that can be executed in our data (e.g., ICD code ranges, regular expression matching for radiology reports). Querying complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to create high-quality datasets that can be used to train and validate AI algorithms. You have extremely high levels of attention to detail, but also know how to keep the big picture in mind. Working with non-medically-trained data scientists as they help create and validate these datasets. You are not afraid to dig into massive, confusing, disorganized new datasets and get them under control. You are excited to learn new environments, languages, and skills. This is a small, early stage company with enormous ambitions and everyone pitches in to do everything. Your specific responsibility is to supervise the process from customer request to dataset delivery. This will include the following: Perform complex data extraction, manipulation, and summarization of large amounts of data to create analytical datasets and provide a range of solutions to support customers’ AI activities. Support the design, testing, validation, analysis, and merging of multimodal data structures from a variety of source systems. Support all phases of SQL/analytical programming, data management, quality control, and reporting. Collaborate with customers to define and deliver on data requests with accountability for timely and high-quality delivery. Develop code to deliver high-quality data products on time to customers. Create summarized findings and recommendations that are clearly presented and adapted for audiences that have a varying range of technical and clinical experience. Ensure accuracy, data integrity, and validity of data and analysis in all work. Summarize the complexity of these data structures and operations into clear explanations and documentation for internal and external audiences. Present to senior leadership as well external audiences.
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Requirements
- MD/DO and completed residency
- Clinical Informatics board-certification/board-eligibility preferred
- 1+ years experience querying EHR data (fluency in SQL required)
- Experience with extracting, curating, and analyzing data created within the HIT and healthcare delivery ecosystem (e.g., EMR, claims, registry); this may include knowledge of the roles of data exchange and content standards (e.g., FHIR, CDA, CQL) and clinical terminology standards (e.g., ICD, CPT, LOINC, SNOMED-CT, NDC, RxNorm)
- Awareness and understanding of data privacy, anonymization, data protection, security, data ethics and how to address these in data analyses
- Hands-on technical and project leadership experience
- Strategic and outcomes-oriented mindset that balances depth and breadth to demonstrate value
- Strong technical writing, editing, and communication skills along with a collaborative mindset
- Excellent organizational skills with an ability to embrace change and effectively manage multiple projects and consistently plan work to meet deadlines
- Experience working in or with startups is a plus
- SQL
- Python and/or R
- Git and version control
- Familiarity with writing regular expressions
- Prior experience querying EDWs or databases and creating reports or analytics for healthcare data
- Familiarity with the data aspects of electronic medical records, especially Epic, Cerner, Allscripts, etc.
- Prior experience working with insurance claims data
- Familiarity with medical terminologies or controlled vocabularies such as ICD-10, SNOMED-CT, LOINC, CPT/HCPCS, NDC, and RxNorm
- Any medical ontology experience
- Any NLP experience
- Any experience working with DICOM or other imaging modalities
- Experience with OMOP common data model
- Data viz in Python or R
- Automated reporting (e.g., Quarto)
- Familiarity with Machine Learning concepts
- Experience with AWS
Benefits
- Professional development days to build your skills
- Collegial work environment
- Academic bent towards inquiry and problem solving but start-up speed and flexibility
- Remote work and flexible hours, need to be available for meetings which we try to keep to a healthy minimum
- 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 to improve patient care!
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