Senior Technical Clinical Data Abstractor

POSITION SUMMARY:

Natera is seeking a Senior Technical Clinical Data Abstractor to work alongside the Clinical Data Management Specialist and Abstraction Staff Manager to oversee and monitor all clinical data management activities, the data schema, modeling, and quality of all abstracted and clinical data in accordance with all product and data mart specifications.   

This role includes supporting the design and establishment of all abstraction data pipelines and workflows used for ingestion, management, structuring, and delivery in a manner that results in high-quality data, products and services. Along with building analytics dashboards the team may utilize for data pulls and identify patients for abstraction. This position is also responsible for communicating frequent updates and plans on high impact, high visibility data products.

PRIMARY RESPONSIBILITIES:

• Serve as a liaison between the clinical data management, abstraction, and quality functions.

• Responsible for performing abstraction for ad hoc and ongoing internal and external data and abstraction requests for cancer, women’s health or rare diseases information. Abstraction responsibilities include manually reading, reviewing, and abstracting clinical data from medical records. 

• Maintain minimum quality and productivity standards as established by the CDA team.

• Participating in quality reviews on records abstracted by abstraction peers, tracking records quality reviewed and through the entire abstraction life-cycle. 

• Maintain confidential, accurate, and detailed records and reports. 

• Identify clinical data gaps within existing patient medical records across the entire clinical database. 

• Attend cross-team meetings and provide relevant reporting to cross-teams and directly to the first line supervisor or manager. 

• Perform moderate coding and development work to support the maintenance and creation of abstraction workflows, pipelines, databases, and infrastructure for the abstraction team and related data 

• Translate clinical and abstraction requirements into technical requirements and technical requirements into clinical requirements. 

• Analyze, manipulate, and transform clinical data to inform business decisions.

• Support the development of policies, and procedures related to abstraction & data management.  

• Support the completion of data quality auditing, validation, and tracking using automated means and quality assessment reports for all data ingested into databases.

• Support the creation and maintenance of data dictionaries, data mapping files, and all necessary standard operating procedures, guidelines, and workflows pertaining to data management. 

• Provide statistical reports on data management trends requiring business decisions.

• Write SQL, Python, R code to query raw and structured clinical, and genomic data to determine root-cause of data modeling and ingestion errors and identify the best methods for resolving identified errors. 

• Perform data transformation on existing and new data marts. 

• Create and analyze the comprehensiveness and quality of new and existing data marts by creating various dashboards and visualizations. 

• Support the creation and design of data standardization and harmonization specifications.

• Build and maintain ongoing strong working relationships with stakeholders, with a focus on building effective communication channels. 

• Recommend technologically advanced solutions and approaches for managing real-world data.  

• Other duties as assigned.

QUALIFICATIONS:

• Masters degree in health sciences, bioinformatics, or related field, at minimum and 3+ years of managing real-world clinical data

• U. S. Licensed as a nurse is required with extensive experience working in oncology; OCN (or one of the other six cancer specialty nursing certifications)

• 5+ years of clinical data abstraction, research, or clinical data management; specialty in genomics data (may be supplemented by a minimum of 4 years of direct oncology clinical/clinical trial/EDC experience accompanied with an OCN U.S. license or one of the other six cancer specialty nursing certifications or a minimum of 3 years of direct oncology clinical/clinical trial/ED experience accompanied with an PA, NP, or DNP U. S. license)

• Experience working with large real-world clinical data sets

• Experience with clinical and genomic data management and modeling

• Must be familiar with data harmonization, and standardization

• Must have strong Python, SQL, and R experience

• Must have experience working with AWS services like Redshift and S3

• Must have experience with applications such as Quick sight and Tableau 

• Must have experience working within startup abstraction programs, as well supporting the strategic direction of long-term abstraction programs

• Must be comfortable working within a non-technical team and functioning as a liaison between software engineers and clinicians

• Capable of navigating real-world data and dealing with data missingness and data gaps

• Strong communication skills and comfortable engaging with physicians, scientists, engineers, and various executives

• Must be familiar with standard clinical data abstraction models, data abstraction, and various clinical data ontologies such as ICD-9-CM & SNOMED CT

• Experience providing statistical reports on patient data or trends (strong data analysis skills) 

• Direct experience with medical record abstraction across multiple platforms (paper records, different electronic medical record systems, EDC, registries, etc.)

KNOWLEDGE, SKILLS, AND ABILITIES:

• Ability to work independently, with little to no direction, and as part of a team

• Strong organizational and communication skills

• In-depth attention to detail and a fast learner

• Experience working with startup companies and well-established organizations

• Ability to interact with various levels of staff (executives and non-executives) and external customers

• Independent problem-solver

• Possess a high level of initiative and self-motivation

• Strong computer and Microsoft Office skills

• Experience working with multiple monitors