Clinical Data Management Specialist

POSITION TITLE: Clinical Data Management Specialist

POSITION LOCATION: Remote, USA

POSITION SUMMARY:

At Natera, we revolutionize the world of medicine by developing genetic products that combine cutting-edge technology and science. On top of that we want to accelerate the breakthroughs in research to improve care by offering our unique genomic and clinical data.

In order to achieve this we are seeking a skilled, self-motivated Clinical Data Management Specialist to lead all daily operational data management activities and oversee the structural and modeling 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. This position is also responsible for communicating frequent updates and plans on high impact, high visibility data products.

Job Description

Serve as the clinical data management lead and subject matter expert and the first escalation point for abstraction data modeling, ingestion, quality, and management issues.
Work with software engineers and developers to design the creation and development of workflows concerning the management of abstraction data within and across data pipelines by translating business requirements into technical requirements and specifications.
Analyze, manipulate, and transform clinical data to inform business decisions.
Support the development of policies, and procedures related to 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, etc., code to query raw clinical and genomic data and structured clinical data to determine root-cause of data modeling and ingestion errors and identify the best methods for resolving identified errors.
Deidentify clinical and genomics data marts by determining the best de identification method required for the data and use-case.
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.
Responsible for performing abstraction for ad hoc and ongoing internal and external data and abstraction requests for clinical information, as needed. Abstraction responsibilities include manually reading, reviewing, and abstracting clinical data from medical records.
Evaluate various data management vendors and provide oversight of contracted data management vendors.
Other duties as assigned

The fun things

Work on the forefront of genomics research enablement by establishing the foundation for managing Natera’s clinicogenomic data
Guide the implementation of long-term processes and workflows
Query small to large clinical data sets, manage data ingestion and delivery specifications, and data modeling requirements

The essentials

This role works with Protected Health Information (PHI) regularly both in paper and electronic form and has access to various technologies to access PHI (paper and electronic) to perform the job
Employees must complete HIPAA/PHI privacy training, General Policies and Procedure Compliance training, and security training. Must maintain a current status on Natera training requirements
Employees must pass a post-offer criminal background check

QUALIFICATIONS:

Masters degree in health sciences, bioinformatics, or related field, at minimum and 3+ year of managing real-world clinical data
Experience working with large real-world clinical data sets
5+ years of clinical and genomic data management and modeling
Must be familiar with data harmonization, and standardization
Must have some SQL experience
Experience working with AWS services like Redshift and S3
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)

KNOWLEDGE, SKILLS, AND ABILITIES:

Experience providing ongoing follow up and coaching
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
Experience creating or supporting the creation of abstraction and data management business rules, policies and procedures, quality review plans and practices, and data management plans