Research Fellow, PGY0 (JB MIller)
Salary undisclosed
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Proposes and undertakes a mentored, innovative project or challenge to develop novel molecular therapies for retinal degenerative diseases. Designs and performs in vitro and animal experiments, analyzes and presents the outcome.
ESSENTIAL FUNCTIONS:
Read, analyze and summarize published literature
Design and execute in vitro and in vivo
Undertake relevant coursework if required by mentor
Attend relevant meetings
Meet regularly with mentor to review project progress and milestones
Plan and deliver a seminar on the project
Complete Machine Learning analyses, data analysis and data presentation
Take administrative (inventory, purchasing, etc. ) responsibilities in the lab when necessary
Write a final report or submit a manuscript to a peer-reviewed journal describing the project and results
EDUCATION AND EXPERIENCE:
Doctoral degree (MD or PhD) with more than 1 year of lab experience, with background in mathematics, computational science, computer science, statistics, machine learning, deep learning, computer vision, image processing, biomedical engineering, bioinformatics, visual science and ophthalmology.
Strong programming skills (e.g., C++, Python, R, MATLAB) and in-depth understanding of statistics and machine learning. Linux cluster experience is a plus.
Proven publication track record.
WORKING CONDITIONS:
Lab setting.
PHYSICAL REQUIREMENTS:
Possible lifting of 10 to 20 lbs., depending on nature of chosen project(s).
HIPAA Privacy Training and Sanctions
All employees who have access to health information whose confidentiality is protected by the HIPAA Privacy Rule are required by the Rule to receive training so that they have an understanding and knowledge of the Privacy Rule that corresponds to their job responsibilities and of the group health plan's policies and procedures that impact on their job duties. Training on the requirements of the HIPAA Privacy Rule and the plan's health information policies and procedures under the direction of the institution's privacy officer is a pre-requisite for this position.
Employees who violate the requirements of the HIPAA Privacy Rule will be subject to discipline, up to and including termination.
This description is intended to indicate essential tasks and levels of work difficulty that will be required of positions that will be given this title. It is not intended to limit or in any way modify the right of supervisors to assign, direct, or control the work of staff members under their supervision. The use of a particular expression or illustration describing duties shall not be held to exclude other duties not mentioned but that are of similar kind or level of difficulty.
Massachusetts Eye and Ear is proud to be an equal-opportunity employer and is committed to providing a workplace free from harassment or discrimination. All employment decisions are made without regard to race, color, age, gender, gender identification, sexual orientation, religion, marital status, sex, pregnancy or conditions related to pregnancy, national origin/ancestry, citizenship, disability, military status, genetic information, or any other basis prohibited by law. These protections extend to all management practices and decisions, including recruitment and hiring practices, appraisal systems, promotions, training, and career development programs
ESSENTIAL FUNCTIONS:
Read, analyze and summarize published literature
Design and execute in vitro and in vivo
Undertake relevant coursework if required by mentor
Attend relevant meetings
Meet regularly with mentor to review project progress and milestones
Plan and deliver a seminar on the project
Complete Machine Learning analyses, data analysis and data presentation
Take administrative (inventory, purchasing, etc. ) responsibilities in the lab when necessary
Write a final report or submit a manuscript to a peer-reviewed journal describing the project and results
EDUCATION AND EXPERIENCE:
Doctoral degree (MD or PhD) with more than 1 year of lab experience, with background in mathematics, computational science, computer science, statistics, machine learning, deep learning, computer vision, image processing, biomedical engineering, bioinformatics, visual science and ophthalmology.
Strong programming skills (e.g., C++, Python, R, MATLAB) and in-depth understanding of statistics and machine learning. Linux cluster experience is a plus.
Proven publication track record.
WORKING CONDITIONS:
Lab setting.
PHYSICAL REQUIREMENTS:
Possible lifting of 10 to 20 lbs., depending on nature of chosen project(s).
HIPAA Privacy Training and Sanctions
All employees who have access to health information whose confidentiality is protected by the HIPAA Privacy Rule are required by the Rule to receive training so that they have an understanding and knowledge of the Privacy Rule that corresponds to their job responsibilities and of the group health plan's policies and procedures that impact on their job duties. Training on the requirements of the HIPAA Privacy Rule and the plan's health information policies and procedures under the direction of the institution's privacy officer is a pre-requisite for this position.
Employees who violate the requirements of the HIPAA Privacy Rule will be subject to discipline, up to and including termination.
This description is intended to indicate essential tasks and levels of work difficulty that will be required of positions that will be given this title. It is not intended to limit or in any way modify the right of supervisors to assign, direct, or control the work of staff members under their supervision. The use of a particular expression or illustration describing duties shall not be held to exclude other duties not mentioned but that are of similar kind or level of difficulty.
Massachusetts Eye and Ear is proud to be an equal-opportunity employer and is committed to providing a workplace free from harassment or discrimination. All employment decisions are made without regard to race, color, age, gender, gender identification, sexual orientation, religion, marital status, sex, pregnancy or conditions related to pregnancy, national origin/ancestry, citizenship, disability, military status, genetic information, or any other basis prohibited by law. These protections extend to all management practices and decisions, including recruitment and hiring practices, appraisal systems, promotions, training, and career development programs
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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