Clinical Analyst

Organization
HudsonAlpha Institute for Biotechnology
Job Location
601 Genome Way
Huntsville, AL 35806
Benefits

HudsonAlpha offers a competitive benefits package.

Job Description

POSITION SUMMARY

The Clinical Analyst will be instrumental in supporting the core functions of the enterprise clinical information systems that enable cost-effective, high quality, efficient and safe patient care. As an integral team member, you will assist physicians, nurses and other clinicians with issue resolution related to the electronic health record and/or other clinical applications. Establish a partnership with other information technology teams (I.e., Infrastructure, Integration, Reporting and Help Desk) will be a key in establishing essential application support. A clinical background will be instrumental in providing tier-2 support of application incidents through the help desk. You will mentor junior team members while providing analytical assistance for the resolution of application incidents, maintenance items and enhancement requests. The Clinical Analyst will be expected to interact with experimental and computational biologists, clinical and translational research collaborators and clinicians. Potential projects will impact individuals with rare and common disease including adult and pediatric diseases and oncology.

DUTIES AND RESPONSIBILITIES

The Informatics Team at HudsonAlpha Institute for Biotechnology is seeking a Clinical Analyst who will:

  • Gather business/data requirements from clinical faculty and Principal Investigators in the Genomic Medicine Clinic and collaborate on the best way to design studies or to build study cohorts based on the Analyst's knowledge of available systems. Acts as interface between clinical experts and IT to determine feasibility, timelines, and cost of data requests.
  • Uses third party software tools and research data warehouse in development of queries and visualizations. Creates research data marts using the enterprise IT architecture.
  • Participates in analytics-based quality improvement projects that leverage data collected from electronic medical records to measure and predict patient outcomes. Works with statisticians and mathematicians to design predictive models using statistical and machine learning methods that will predict patient outcomes.
  • Develops analytic data sets for operations and research and uses statistical software (SAS or R) to analyze data sets.
  • Produces reports that facilitate evidence-based clinical and financial decisions.
  • Works with CRIO/Knowledge Management team to develop new data queries and toolsets.
  • Member of the IT business intelligence/knowledge management team at HudsonAlpha.
  • Maintains peer relationship and collaborative knowledge exchange with IT counterparts.
  • Perform other duties as assigned.         
Requirements

QUALIFICATIONS EDUCATION AND REQUIRED SKILLS EXPERIENCE

Education and Experience: 

  • Ideal candidate will possess a clinical license (I.e., PhD, PA, MD, NP, MA, etc.) along with four (4) or more years of progressively responsible and directly related work experience.
  • RN with minimum of 3 years of experience in a clinical setting
  • Experience with data analysis, data management associated with systems evaluation, clinical research, and analysis tools and methodologies
  • Experience implementing EMR systems preferred
  • Experience in Medical policy documentation required
  • Relevant clinical application certification is preferred. Any combination of education and experience that would likely provide the required knowledge, skills and abilities as well as possession of any required licenses or certifications is qualifying.
  • Knowledge of current issues and trends in health care and clinical operations in a health care system
  • Knowledge of various information systems, clinical software, and computer applications used in a health care setting

Required Skills:

  • Ability to diagnose and resolve routine technology problems
  • Ability and desire to learn to resolve specialized and advanced technology problems
  • Ability to establish a set of tasks and activities associated with an intended outcome and timeline
  • Ability to use effective approaches for choosing a course of action or developing appropriate solutions and/or reaching conclusions
  • Ability to collaborate and build consensus with stakeholders
  • Ability to understand and adhere to operational standards, policies, and procedures
  • Ability to analyze data, draw conclusions and interpret results
  • Knowledge of genomic technologies and their application preferred, but not absolutely necessary.
  • Familiarity with CLIA or HIPAA or similar requirements a plus.

PHYSICAL REQUIREMENTS AND ENVIRONMENTAL CONDITIONS

The physical requirements and environmental conditions of this position consist primarily of:

  • Continuous mental and visual attention.
  • Ability to work at a computer monitor for significant portions of the workday.
  • On-call availability and periodic overtime.


EOE

About Our Organization


INSTITUTE OVERVIEW

HudsonAlpha Institute for Biotechnology is a genomic science and applications nonprofit organization. It is a high-volume genomic data producer and a global scientific collaborator valued for genomic data analysis and interpretation to solve questions in cancer, undiagnosed childhood genomic disorders, neuro-psychiatric disorders, immune-mediated disease, agriculture and more. Its unique campus crosses the boundaries between scientists, educators, and commercial business to spark innovation and growth.

INFORMATICS GROUP OVERVIEW

The Informatics Group led by Dr. Worthey is multi-disciplinary, comprising research scientists, software developers, informaticians, and computational scientists with a reputation for excellence within the fields of Informatics and Genomics software development and application. The focus of the group is 1) identifying and understanding the molecular basis for human disease and 2) application of scientific findings to support selection and alteration of clinical treatment plans in patients. The team is actively engaged with basic, translational, and clinical scientists as well as clinicians and is part of a number of genomic medicine programs including the NIH Undiagnosed Disease Network.

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