Tulane University
Overview
Description for Job: IRC31784 Research Scientist I
Surgery – Oncology
Location: New Orleans, LA
Summary Research Scientists I are individuals holding a PhD or equivalent terminal degree who play a major role in enabling the Surgical Oncology & Endocrinology research program through collaborative and collegial interactions with faculty, fellows, graduate students, staff and other collaborators. The Research Scientist I will be responsible for leading and facilitating artificial intelligence (AI) and machine learning (ML) research projects for the Division. This role will oversee research projects, publications, and ensure compliance with federal and institutional requirements. The primary responsibility of the Research Scientist I will be to execute AI- and ML-driven studies, write manuscripts for submission to peer-reviewed journals, and collaborate with clinical teams to integrate AI/ML solutions in the Division. The position may also involve cross‑functional collaboration with data scientists, clinicians, and bioinformatics to enhance projects and to facilitate execution of research goals.
Responsibilities
Lead and facilitate artificial intelligence (AI) and machine learning (ML) research projects for the Division.
Oversee research projects, publications, and ensure compliance with federal and institutional requirements.
Execute AI- and ML-driven studies.
Write manuscripts for submission to peer‑reviewed journals.
Collaborate with clinical teams to integrate AI/ML solutions in the Division.
Engage in cross‑functional collaboration with data scientists, clinicians, and bioinformatics to enhance projects and facilitate execution of research goals.
Required Knowledge, Skills, and Abilities
In‑depth understanding of AI/ML technologies and hands‑on experience with machine learning frameworks.
Proficiency in programming languages (e.g., Python, R) and AI/ML tools (e.g., TensorFlow, PyTorch).
Ability to design, train, and optimize ML models for clinical and research applications.
Ability to apply advanced AI/ML methodologies to solve complex clinical problems and interpret large datasets.
Strong skills in scientific manuscript preparation and familiarity with the peer‑reviewed publication process.
Ability to manage multiple AI/ML research projects simultaneously and ensure timely completion of goals.
Required Education and/or Experience
PhD in Biomedical Engineering, Computer Science, Bioinformatics, Data Science, or a related field with a focus on AI and ML applications in healthcare.
Preferred Qualifications
Prior experience in AI/ML research within a medical or clinical setting.
Familiarity with regulatory aspects of clinical trials and IRB processes.
Knowledge of natural language processing (NLP) and its applications in healthcare.
Compensation Information This position is classified as "exempt, salaried" and is assigned to pay grade UNCLASSIFI. Tulane offers a variety of options to enhance your health and well‑being so that you may enjoy more out of life now and in the future. Learn more about Life at Tulane as well as our Benefits and Pay. See our Candidate Resources to learn more about our hiring process and what to expect.
How to Apply This position will close on the date it is filled. Please note: Depending on your role and the department in which you work, you may be expected to adhere to COVID‑19 requirements, such as vaccinations and booster shots. Click "Apply Now" to apply for this job. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at hr@tulane.edu.
Equal Opportunity Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person’s race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane’s employment or educational programs or activities. Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process.
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Summary Research Scientists I are individuals holding a PhD or equivalent terminal degree who play a major role in enabling the Surgical Oncology & Endocrinology research program through collaborative and collegial interactions with faculty, fellows, graduate students, staff and other collaborators. The Research Scientist I will be responsible for leading and facilitating artificial intelligence (AI) and machine learning (ML) research projects for the Division. This role will oversee research projects, publications, and ensure compliance with federal and institutional requirements. The primary responsibility of the Research Scientist I will be to execute AI- and ML-driven studies, write manuscripts for submission to peer-reviewed journals, and collaborate with clinical teams to integrate AI/ML solutions in the Division. The position may also involve cross‑functional collaboration with data scientists, clinicians, and bioinformatics to enhance projects and to facilitate execution of research goals.
Responsibilities
Lead and facilitate artificial intelligence (AI) and machine learning (ML) research projects for the Division.
Oversee research projects, publications, and ensure compliance with federal and institutional requirements.
Execute AI- and ML-driven studies.
Write manuscripts for submission to peer‑reviewed journals.
Collaborate with clinical teams to integrate AI/ML solutions in the Division.
Engage in cross‑functional collaboration with data scientists, clinicians, and bioinformatics to enhance projects and facilitate execution of research goals.
Required Knowledge, Skills, and Abilities
In‑depth understanding of AI/ML technologies and hands‑on experience with machine learning frameworks.
Proficiency in programming languages (e.g., Python, R) and AI/ML tools (e.g., TensorFlow, PyTorch).
Ability to design, train, and optimize ML models for clinical and research applications.
Ability to apply advanced AI/ML methodologies to solve complex clinical problems and interpret large datasets.
Strong skills in scientific manuscript preparation and familiarity with the peer‑reviewed publication process.
Ability to manage multiple AI/ML research projects simultaneously and ensure timely completion of goals.
Required Education and/or Experience
PhD in Biomedical Engineering, Computer Science, Bioinformatics, Data Science, or a related field with a focus on AI and ML applications in healthcare.
Preferred Qualifications
Prior experience in AI/ML research within a medical or clinical setting.
Familiarity with regulatory aspects of clinical trials and IRB processes.
Knowledge of natural language processing (NLP) and its applications in healthcare.
Compensation Information This position is classified as "exempt, salaried" and is assigned to pay grade UNCLASSIFI. Tulane offers a variety of options to enhance your health and well‑being so that you may enjoy more out of life now and in the future. Learn more about Life at Tulane as well as our Benefits and Pay. See our Candidate Resources to learn more about our hiring process and what to expect.
How to Apply This position will close on the date it is filled. Please note: Depending on your role and the department in which you work, you may be expected to adhere to COVID‑19 requirements, such as vaccinations and booster shots. Click "Apply Now" to apply for this job. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at hr@tulane.edu.
Equal Opportunity Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person’s race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane’s employment or educational programs or activities. Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process.
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