Job Location: Remote
About Press Ganey:
Press Ganey pioneered the health care performance improvement movement 35 years ago. Today Press Ganey offers an integrated suite of solutions that enable enterprise transformation across the patient journey. Delivered through a cutting-edge digital platform built on a foundation of data security, Press Ganey solutions address safety, clinical excellence, patient experience, and workforce engagement. The company works with more than 41,000 health care facilities in its mission to reduce patient suffering and enhance caregiver resilience to improve the overall safety, quality, and experience of care.
Position Description/Overview:
Press Ganey is looking to hire a self-motivated linguist with programming experience, ideally someone that enjoys solving linguistic puzzles. The primary goal is to craft syntax rules with high precision, and then evaluate their performance on baseline datasets. An ideal candidate for this job would have some experience with healthcare facilities (hospitals, inpatient settings, outpatient settings, emergency departments), but that is not required.
Duties & Responsibilities:
- Create and edit high-precision syntactic rules and evaluate their performance on baseline datasets.
- Monitor performance of the NLP pipeline and identify potential improvements to sentiment and category prediction algorithms, including the identification of analysis coverage gaps.
- Assist in the improvement of ontology architecture, including both hierarchical organization and entailment structure between nodes.
- Assist in the identification and implementation of NLP analysis expansions and prototype additional NLP pipelines for additional or anomalous data types.
- Provide NLP analysis and general linguistic support to QA team and others involved with data review or communication of analysis.
- Ensure accuracy and quality of deliverables
- Exhibit interpersonal skills that foster collaborative working relationships.
- Document work.
Qualifications:
- Bachelors or higher in Linguistics, or Computer Science or Engineering with experience in Natural Language Processing.
- Coursework in Syntax and Semantics.
- Experience crafting regular expressions for string matching.
- Python or R programming experience, 1-2 years.
- Native English proficiency (the data is in English).
Additional Skillsets Desired:
- Experience with tgrep.
- Information extraction evaluation (precision, recall, F1).
- Familiarity with Machine Learning models (training and prediction).
- Familiarity with Healthcare processes and settings.
Minimum Education:
- Bachelor’s degree required
All positions at Press Ganey require an applicant who has accepted an offer to undergo a background check. The specific checks are based on the nature of the position. Background checks may include some or all of the following: SSN/SIN validation, education verification, employment verification, and criminal check, search against global sanctions and government watch lists, fingerprint verification, credit check, and/or drug test. By applying for a position with Press Ganey, you understand that you will be required to undergo a background check should you be made an offer. You also understand that the offer is contingent upon successful completion of the background check and results consistent with Press Ganey’s employment policies. You will be notified during the hiring process which checks are required for the position.
Press Ganey Associates, Inc. is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state or local protected class.
Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
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