Remote Jobs
Employer Industry: Healthcare Research
Why consider this job opportunity:
Starting salary of $95,000, negotiable based on experience and qualifications Generous vacation, holidays, and sick leave benefits Competitive insurance and savings accounts, along with retirement benefits Opportunity for interdisciplinary collaboration and engagement with a community of scholars Work remotely from a non-campus location Chance to contribute to groundbreaking research that improves patient health outcomes What to Expect (Job Responsibilities):
Ensure data quality and integrity through rigorous preprocessing, cleaning, and validation techniques Design, develop, validate, and deploy advanced machine learning and NLP models to extract insights from unstructured EHR data Collaborate with cross-functional teams to integrate NLP solutions into healthcare research Document methodologies, processes, and findings comprehensively Communicate results and insights effectively to both technical and non-technical stakeholders What is Required (Qualifications):
Extensive experience in NLP and machine learning with a focus on healthcare data Proficiency in Python and deep learning frameworks (PyTorch/PyTorch Lightning or TensorFlow/Keras) Strong analytical, critical‑thinking, and problem‑solving skills Excellent written, verbal, and presentation communication skills Detail‑oriented with a commitment to data accuracy and integrity How to Stand Out (Preferred Qualifications):
Hands‑on experience navigating and analyzing complex Electronic Health Record (EHR) data Knowledge of medical terminologies and coding systems (e.g., ICD‑10, CPT) A strong foundation in biostatistics as it applies to observational research Experience packaging data science solutions into reproducible tools or applications #HealthcareResearch #DataScience #MachineLearning #RemoteWork #Innovation We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
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Starting salary of $95,000, negotiable based on experience and qualifications Generous vacation, holidays, and sick leave benefits Competitive insurance and savings accounts, along with retirement benefits Opportunity for interdisciplinary collaboration and engagement with a community of scholars Work remotely from a non-campus location Chance to contribute to groundbreaking research that improves patient health outcomes What to Expect (Job Responsibilities):
Ensure data quality and integrity through rigorous preprocessing, cleaning, and validation techniques Design, develop, validate, and deploy advanced machine learning and NLP models to extract insights from unstructured EHR data Collaborate with cross-functional teams to integrate NLP solutions into healthcare research Document methodologies, processes, and findings comprehensively Communicate results and insights effectively to both technical and non-technical stakeholders What is Required (Qualifications):
Extensive experience in NLP and machine learning with a focus on healthcare data Proficiency in Python and deep learning frameworks (PyTorch/PyTorch Lightning or TensorFlow/Keras) Strong analytical, critical‑thinking, and problem‑solving skills Excellent written, verbal, and presentation communication skills Detail‑oriented with a commitment to data accuracy and integrity How to Stand Out (Preferred Qualifications):
Hands‑on experience navigating and analyzing complex Electronic Health Record (EHR) data Knowledge of medical terminologies and coding systems (e.g., ICD‑10, CPT) A strong foundation in biostatistics as it applies to observational research Experience packaging data science solutions into reproducible tools or applications #HealthcareResearch #DataScience #MachineLearning #RemoteWork #Innovation We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
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