Senior Clinical Informaticist

Why join Freenome?

Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages. 

Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning. 

Founded in 2014, Freenome has ~400 employees and continues to grow to match the scope of our ambitions to provide access to better screening and earlier cancer detection.  

At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count.

Become a Freenomer

Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time.

About this opportunity:

At Freenome, we are seeking a Senior Clinical Informaticist to help grow the Freenome Real World Data team (RWD). The ideal candidate should be self-motivated, deeply passionate about data, well-versed in standard ontologies and data models, and equipped with the programming expertise required to create top-tier analysis-ready datasets. The primary duties involve maintaining proprietary phenotypes and concept sets via the cohort definition user interface, overseeing user access and permissions, educating users on UI usage, and supporting curation efforts by converting electronic health records (EHR), claims, and other RWD sources into premium, research-ready datasets that our biostatisticians and computational scientists can readily utilize. You are passionate about doing your part to support Freenome’s mission to detect cancer at its earliest stages, and you will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to the Manager, RWD. This role will be a remote role.

What you’ll do:

• Manage the cohort definition user interface, including controlling user access and permissions, and instructing end users on appropriate application of content
• Create and maintain all content within cohort definition UI
• Facilitate updating vocabularies used to support the semantic mapping process and in the research platform, performing impact analyses when necessary
• Support execution of RWD ingests (in collaboration with Engineering) and subsequent data preparation efforts, including data mapping, cleaning, and structuring, to create “regulatory-grade” research-ready datasets
• Execute a framework for assessing and ensuring the clinical validity of data throughout the pipeline
• Serve as an internal subject matter expert on interoperability and common data model standards and terminologies (ex. ICD, CPT, HCPCS, NDC, GPIs, SNOMED, etc.)
• Develop and maintain templates and tools to enable efficient data processing and interpretation
• Support operation of an ontology/terminology management system
• Work in the details for ongoing clean-up and enrichment to drive continuous improvement
  

Must haves:

• At least four years of experience in clinical informatics, including experience with:
  • EHR and claims data
  • Applying RWD to clinical research, preferably for diagnostic, medical device, or therapeutic product development healthcare interoperability standards and regulatory submission models (HL7, FHIR, CDM, OMOP) and ETL techniques
  • RWD across multiple disease areas, Oncology experience strongly preferred
• PharmD,MD, NP, RN, or closely related degree
• Deep knowledge of ontologies commonly used by health systems and payers, including, ICD-O-3, ICD-10, HCPCS, CPT, LOINC, RxNorm
• Applied technical experience with SQL, ETL development, database structures, data modeling, hosted solutions
• An entrepreneurial and soluti