Clinical Data Scientist

  • Job Reference: 00002489-1
  • Date Posted: 11 May 2022
  • Company: AAOS
  • Location: Rosemont, Illinois
  • Salary: On Application
  • Sector: Pharmaceutical/Biotechnology
  • Job Type: Permanent

Job Description

You approach data with a strategic mindset. You use a common language to access, explore and model data. You've honed your skills and take more holistic view to manipulate and leverage data to deliver business results and impact. You are excited knowing your analysis and interpretation of complex data, will help drive the decision-making of the business and have a positive effect on healthcare and the field of orthopaedics.

If this sounds like you, read on!   

The Clinical Data Scientist will serve as a subject-matter expert for Registry data. Applies extensive medical informatics, data science, and data management expertise to guide the translation of cross-functional stakeholder needs into registry products. Provides ownership of business processes including data specification development, data validation and processing criteria, registry data analytics practices, and data representation strategy.  Drives the expanding operationalization and application of registry data. Serves as a business resource for analytic and data science needs. This position requires a high degree of flexibility, the ability to multi-task, prioritize, and maintain detailed records of communication; attention to detail; and the ability to work closely with colleagues and other Registry stakeholders.

Data Management: Subject-matter expert in the Registry department for data management inclusive of oversight for the data structure, organization, and usability.  Identify and partner with registry data stewards across the organization to operationalize the registry data, including registry technology and program management teams. Provide strategic direction and business ownership when requested of Registry data projects pertaining to file submission, data processing, data clean-up, and data interpretation in terms of directing business requirements, supporting implementation, and providing technology validation. Provide standard terminology mappings and data element catalog management resources. Liaison with technology colleagues to prioritize and interpret relevant maintenance and support incidents raised by the business line. Maintain high level of proficiency in SQL and database concepts to serve as a data resource for business line colleagues. Additionally support efforts to educate various stakeholders including surgeons, patients, orthopaedic industry, hospitals, payers, and government agencies about the Registries through informal and formal calls, meetings, and presentations. 

Data Specification:  Provide medical informatics subject matter expertise on the development and extension of AAOS data specifications with sites, surgeons, and department program managers to ensure data capture is accurately reflective of clinical semantics and allows for this contextual interoperability. Work closely across Registry teams to create and manage data specifications according to stakeholder requirements. Create regular status reports and/or presentations for AAOS Registry stakeholders as requested, inclusive on data quality and completeness.  Additionally, work closely with the implant manufacturers to profile medical device data capture and produce component data specifications for any registry program. Develop and augment data specification formatting strategies to maximize readability, consistency, and concision.  Maintain familiarity with registry technology systems (C#, Python, and document databases) to oversee the technology implementation of updated and new data specifications for the evolving registry portfolio as a specialized resource on medical data. Serve as an escalated resource on data specifications for business line colleagues. 

Data Analysis: Work directly with Registry stakeholders to translate data needs into documentation of requests, analyzed data, and resulting reports, ensuring timely and accurate delivery.  Apply industry standards in medical data science and epidemiology in producing high quality analytic reports. Draft content for manuscripts, abstracts, presentations and poster submissions as needed. Hold primary responsibility for producing datasets and relevant reports for strategic partnerships (private payers and implant manufacturers), novel analyses requiring variable engineering and/or analyses in nascent registries, and registry data reports not relating to epidemiological analysis such as performance measure and patient reported outcomes reports. Support the work effort of the Analytics Institute as a resource on data feasibility. Maintain a high level of proficiency with statistical programming norms (R and/or SAS). Maintain a high level of knowledge surrounding orthopaedic implant records and device characteristics.

Data Science: Work across registry analyst resources to define and disseminate variable engineering and data profiling documentation. Further define and disseminate registry datasets as requested for high-profile registry data projects such as the Annual Report. Utilize standards in medical informatics and computer science to augment registry analytic capabilities such as in the adoption of API resources including ATHENA, NPPES, GUDID, etc.. Serve as an additional resource in medical data ETL efforts for internal projects and external registry participants through familiarity with EHR and medical data standards. Collaborate with cross-functional teams to translate operational business needs into data science products such as PowerBI dashboards or ad hoc reporting. Liaison with organizational business intelligence resources to communicate and oversee the creation of data science products. Maintain proficiency in data science concepts such as visualization, modeling, and variable engineering with functional skills in relevant software and languages (PowerBI or R).

Exemplifies the following essential values of the Academy:

         Teamwork: Effective collaboration and team-focus to solve complex problems and drive innovation.

         Empowerment: The authority, information, and skills to make decisions and drive results.

         Accountability: Ownership of process and results that drive decisions and ensure implementation.

         Mindset of Growth/Continuous Learning:  Focused on and invested in self and staff development to become more adaptable, making the Academy more agile, innovative, and sustainable.

Qualifications:

Required:

  • High proficiency in R programming
  • Robust knowledge of computer science concepts such as relational databases, SQL, ETL, and programming languages.
  • Post-secondary degree in data science, healthcare informatics, health services research, public health and/or another related field (preferably master's level)
  • 2-5 years of experience in a health services research, including real-world experience with data management, modeling, and analyses.
  • Proven experience managing complex projects from conception to conclusion including defining project objectives and deliverables.
  • Natural problem solver who applies healthcare data domain concepts to scalability and consistently address complex registry data challenges.
  • Proven strength in managing diverse relationships among hospital/health care leaders, colleagues, project partners, and stakeholders.
  • Established proficiency in applying data science and computer science concepts to operationalize organizational data, preferably clinical registry data.
  • Outstanding oral and written communication, including strong presentation skills for cross-functional audiences.
  • Knowledge of HIPAA Privacy and Security Rules, PHI, IRB and other relevant regulatory issues.

Desired:

  • Additional experience spanning intermediate proficiency in more than one statistical programming language (R, SAS, SQL), general programming languages (Python, C#, Java), or BI software (PowerBI, Tableau)
  • Strong data management skills and experience profiling medical data characteristics and quality.
  • Familiarity with medical informatics standards such as FHIR or OHDSI.
  • Experience with multi-institution observational medical data capture and data analysis schemes
  • Knowledgeable of orthopaedic medical devices and of the medical device approval and post-market surveillance processes
  • Familiarity with evidence-based medicine, health outcomes, health care quality standards and performance improvement.
  • Hands-on experience with private or Medicare claims data
  • Proficiency at interacting with physicians, clinician-scientist and researchers
  • Familiarity of the standard style guide along with the ability to communicate scientific or medical information in a clear and concise manner.

If this describes YOU, please apply by sharing the following:   

-Clearly communicate why you are the ideal candidate for this role, providing specific examples and experiences as proof points.

-Resumes must be accompanied by a cover letter with salary expectations to be considered. 

Please note: 

This position is based in Rosemont, Illinois and is open to applicants who are able to commute to this office. Alternatively, the position may be performed remotely and is open to applicants in any U.S. state other than California, Colorado, Connecticut, Massachusetts, Montana, New Jersey, and New York.

AAOS requires all employees to be fully vaccinated against COVID-19. An applicant(i) who is disabled or who has a qualifying medical condition that contraindicates a COVID-19 vaccination, or (ii) who objects to being vaccinated on the basis of a sincerely held religious belief, observance or practice may request a reasonable accommodation. This determination will be made on a case-by-case basis and in accordance with applicable law and public health guidance. Any medical information concerning an applicant's disability will be treated as a confidential medical record in compliance with applicable federal, state, and local laws.  Exemptions from the vaccine policy may also be provided to fully remote positions that do not involve any business travel or in-person work activities.