UNKNOWN

ADAPTED_NOW

HOUR

Bachelor???s degree in Materials Engineering, Mechanical Engineering, Chemical Engineering, Chemistry, Biomedical Engineering, Cell/Molecular Biology, Biochemistry, Materials Science, or related field. Collaborate cross-functionally with Engineering, Marketing, Medical Affairs, Manufacturing, Quality, and Regulatory Affairs.

<p><strong>A-Line Staffing is now hiring R&D Scientist II (Chemistry Scientist II) in Franklin Lakes (07417).</strong> The R&D Scientist II would be working for a Major Fortune 500 Company and has career growth potential.</p><br/><br/><b>R&D Scientist II Highlights:</b><br/><br/><p>??? Schedule: Monday???Friday, Day Shift (40 hours/week, 8 hours/day)<br/> ??? Pay Range: $38.81???$41.67 hourly</p><br/><br/><b>R&D Scientist II Responsibilities:</b><br/><br/><p>??? Represent the R&D function as an Extended Team member supporting large technology and product development programs<br/> ??? Design and execute experiments supporting development, verification, and evidence generation efforts<br/> ??? Prepare samples/prototypes for internal and external analysis<br/> ??? Develop and execute test protocols; document results with guidance from senior staff<br/> ??? Conduct root cause analysis for product development and sustaining engineering activities<br/> ??? Support product development work streams including Requirements Management, Design Verification, and Design Transfer<br/> ??? Collaborate cross-functionally with Engineering, Marketing, Medical Affairs, Manufacturing, Quality, and Regulatory Affairs<br/> ??? Contribute to intellectual property growth, including patent applications and invention disclosures<br/> ??? Maintain laboratory equipment and ensure adherence to Good Laboratory Practices (GLP)<br/> ??? Mentor junior team members and foster a collaborative team environment<br/> ??? Travel as required (conferences, manufacturing sites, customer visits)</p><br/><br/><b>R&D Scientist II Qualifications:</b><br/><br/><p>??? Bachelor???s degree in Materials Engineering, Mechanical Engineering, Chemical Engineering, Chemistry, Biomedical Engineering, Cell/Molecular Biology, Biochemistry, Materials Science, or related field<br/> ??? Minimum 2 years of direct laboratory experience<br/> ??? Proficiency with Microsoft Office<br/> ??? Regulatory experience in medical device or pharmaceutical industry<br/> ??? Materials testing experience (polymers, hydrogels, TCA lab, Environmental Stress Cracking testing)</p><br/><br/><b>Preferred Qualifications:</b><br/><br/><p>??? Master???s or PhD degree<br/> ??? Experience with statistical analysis tools<br/> ??? Experience handling clinical specimens (especially human blood); bloodborne pathogen training will be provided</p><hr/><p>If you are interested in this R&D Scientist II position, please apply to this posting with Luke H. at A-Line!</p>

<p>A-Line Staffing Solutions is a premier staffing company that supplies professionals to the Healthcare, Insurance, Pharmaceutical, and Information Technology industries. Founded in 2004, A-Line Staffing Solutions has been a leader in matching talented individuals to the jobs that our clients NEED to fill. We are experts at offering creative staffing solutions to employers, and we are hiring every day. A-Line Staffing can offer short-term, long-term and direct-hire opportunities to professionals across the United States. We hire only the most qualified and talented individuals in the country. Our recruiting, selection and stringent screening processes have strengthened our reputation for delivering quality customer service and unbeatable talent. For our commissioned clients, A-Line Staffing closely follows the standards and practices established by The Joint Commission. For all of our clients and employees, our commitment to continual improvement combined with a strict code of ethics provides an atmosphere of respect and unparalleled professionalism. To find out how A-Line Staffing Solutions can share our talent with you, please contact us today. We are eager to include you among our most valued and satisfied clients. If you are a professional and would like to learn more about open opportunities in your area, please contact us today. We are always searching for talented and enthusiastic professionals</p>

A-Line Staffing Solutions.

R&D Scientist II

Analysis Skills

Arterial Lines

Biochemistry

Biomedical Engineering

Biotech and Pharmaceutical

Cell Biology

Chemical Engineering

Chemistry

Conferences

Cross-Functional

Design Verification

Employee Orientation

Equipment Maintenance/Repair

Experiment Design

Fortune 500 Customers

GLP (Good Laboratory Practices)

Intellectual Property (IP)

Invention Disclosures

Laboratory

Laboratory Equipment

Maintain Compliance

Manufacturing

Marketing

Material Science

Materials Engineering

Materials Testing

Mechanical Engineering

Medical Affairs

Medical Equipment

Mentoring

Microsoft Office

Molecular Biology

Patent Applications

Pathogens

Polymers

Product Development

Product Support

Prototyping

Regulations

Requirements Management

Research & Development (R&D)

Root Cause Analysis

Sample/Specimen Processing

Statistics

Stress Testing

Team Player

Technical Support

Test Plan/Schedule

Testing

Transformational Communications Architecture (TCA)

Willing to Travel

cb_wl_jobs_master

OTHER

FEED

New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability. New York Tech considers factors such as (but not limited to) scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations and/or applicable collective bargaining agreement when extending an offer.

YEAR

Overview:
<p style="margin:0px">The Department of Biomedical Sciences at New York Institute of Technology College of Osteopathic Medicine (NYITCOM), seeks an <strong>Assistant/Associate Professor</strong>, located at the Long Island (Old Westbury, NY) campus. </p><p style="margin:0px"> </p><p style="margin:0px">NYITCOM has recently established an imaging center which includes many state-of-the-art microscopes. NYITCOM also has a histology core. The department includes a small animal physiology core with comprehensive assessment of cardiac function and echocardiography. The faculty have access to these cores, centers, and the animal facility overseen by the NYITCOM Office of Research. </p>

Responsibilities:
<p style="margin:0px">The Department of Biomedical Sciences at New York Institute of Technology College of Osteopathic Medicine (NYITCOM), seeks an <strong>Assistant/Associate Professor</strong>, located at the Long Island (Old Westbury, NY) campus. </p><p style="margin:0px"> </p><p style="margin:0px">NYITCOM has recently established an imaging center which includes many state-of-the-art microscopes. NYITCOM also has a histology core. The department includes a small animal physiology core with comprehensive assessment of cardiac function and echocardiography. The faculty have access to these cores, centers, and the animal facility overseen by the NYITCOM Office of Research.</p><p style="margin:0px"> </p><p style="margin:0px">Responsibilities:</p><p style="margin:0px"> </p><p style="margin:0px">The successful applicant will be expected to build a research program in neurodevelopmental or neuroendocrine research and work to attain external grant funding.</p><p style="margin:0px"> </p><p style="margin:0px">Participate in teaching in the College of Medicine, as required.</p><p style="margin:0px"> </p><p style="margin:0px">Build a research program as a core member of the Biomedical Research Imaging Innovation Center (BRIIC) initiative that is being formed at the NYIT Old Westbury, NY campus. </p><p style="margin:0px"> </p>

Qualifications:
<p style="margin:0px">Applicants should have a PhD, MD, DO or other comparable doctoral degree. Strengths in the areas of cardiovascular, cancer, and neuroscience, and experience in adult human induced pluripotent stem cell (iPSC) research, iPSC-derived organoid research, neuroendocrine research is required. Experience in Magnetic Resonance Imaging for basic research is preferred. New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability. A nonprofit, independent, private, and nonsectarian institute of higher education founded in 1955, it welcomes nearly 8,000 students worldwide. The university has campuses in New York City and Long Island, New York; Jonesboro, Arkansas; and Vancouver, British Columbia, as well as programs around the world. More than 112,000 alumni are part of an engaged network of physicians, architects, scientists, engineers, business leaders, digital artists, and healthcare professionals. Together, the university’s community of doers, makers, healers, and innovators empowers graduates to change the world, solve 21st-century challenges, and reinvent the future. For more information, visit nyit.edu.</p>

Other Information:
<p style="margin:0px">In compliance with local legislation as well as to provide greater transparency to candidates, the annual base salary range for this position is listed. New York Tech considers factors such as (but not limited to) scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations and/or applicable collective bargaining agreement when extending an offer.</p><p style="margin:0px"> </p>

Minimum Salary:
USD $100,000.00/Yr.

Maximum Salary:
USD $130,000.00/Yr.

New York Institute of Technology

Assistant/Associate Professor, Biomedical Sciences

[AW]-iCims

Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals.

<div class="content-intro"><p><strong>About Cleerly</strong></p><p>We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. </p><p>Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. </p><p>At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. </p><div class="c-virtual_list__item" id="C08UL92QPH8-1758651909.410819-thread-list-Thread_1758652385.135439"><div class="c-message_kit__background c-message_kit__background--hovered c-message_kit__message c-message_kit__thread_message"><div class="c-message_kit__hover c-message_kit__hover--hovered"><div class="c-message_kit__actions c-message_kit__actions--default"><div class="c-message_kit__gutter"><div class="c-message_kit__gutter__right"><div class="c-message_kit__blocks c-message_kit__blocks--rich_text"><div class="c-message__message_blocks c-message__message_blocks--rich_text"><div class="p-block_kit_renderer"><div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first"><div class="p-rich_text_block"><div class="p-rich_text_section">While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.</div></div></div></div></div></div></div></div><div class="c-message_actions__container c-message__actions"> </div></div></div></div></div></div><p><strong>About the Opportunity</strong></p><p>We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions.</p><p><strong>Responsibilities</strong></p><ul><li>Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications.</li><li>Conduct rigorous analysis and validation of machine learning algorithms and prototypes.</li><li>Explore novel methods for processing and analyzing large, complex medical imaging datasets.</li><li>Collaborate with engineering teams to deploy ML algorithms in clinical practice.</li><li>Present research findings, insights, and recommendations to internal stakeholders and external collaborators.</li><li>Author scientific publications and contribute to patent development.</li><li>Manage collaborative research projects with leading academic partners.</li></ul><p><strong>Requirements</strong></p><ul><li>Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience.</li><li>Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning.</li><li>Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection.</li><li>Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis).</li><li>Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results.</li><li>Ability to translate complex clinical requirements into machine learning solutions.</li><li>Strong critical thinking, problem-solving, and project management skills.</li><li>Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.</li></ul><p><strong>Preferred Qualifications: </strong></p><ul><li>2+ years of postdoctoral research or industry experience.</li><li>Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques.</li><li>Strong domain knowledge in CT imaging and its clinical applications.</li></ul><p>The base salary range for this role varies by location and is aligned to market benchmarks.</p><ul><li>Candidates located in <strong>higher-cost labor markets</strong>, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in <strong>all other U.S. locations </strong>represent the low to middle end of the range.</li><li>Final compensation is determined based on location, experience, skills, and internal equity.</li></ul><p>This role is eligible for a 15<strong>% target annual bonus</strong>, resulting in the following <strong>base salary </strong>and <strong>Total Target Compensation (TTC)</strong> ranges:</p><ul><li><strong>Base Salary: </strong><strong><em>$186,000 - $212,000</em></strong></li><li><strong>TTC: </strong><strong><em>$214,000 - $245,000</em></strong></li></ul><p>*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.</p><div class="content-conclusion"><p><strong>Working at Cleerly takes HEART. Discover our Core Values:</strong></p><ul><li><strong>H: Humility</strong>- be a servant leader</li><li><strong>E: Excellence</strong>- deliver world-changing results</li><li><strong>A: Accountability</strong>- do what you say; expect the same from others</li><li><strong>R: Remarkable</strong>- inspire & innovate with impact</li><li><strong>T: Teamwork</strong>- together we win</li></ul><p>Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. <em>Job duties, activities and responsibilities are subject to change by our company.</em></p><p><strong><em>OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER.</em></strong><em>  We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.</em></p><p>For more information see our Privacy Policy (<a href="https://cleerlyhealth.com/privacy-policy%29" rel="nofollow">https://cleerlyhealth.com/privacy-policy)</a>. All official emails will come from @cleerlyhealth.com email accounts. </p><p>#Cleerly</p></div>

Cleerly

Senior ML Scientist

GreenHouseAPI

Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records.

<h3>About Dyania Health</h3><p>Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria.</p><p/><h3>The Role</h3><p>We are seeking a <strong>Staff or Senior Staff Research Scientist</strong> to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding.</p><p>This is a <strong>senior, hands-on research role</strong>. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is <strong>not</strong> a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems.</p><p>Leveling is based on experience:</p><ul><li><strong>Staff Research Scientist:</strong> 7+ years of relevant experience </li><li><strong>Senior Staff Research Scientist:</strong> 10+ years, including technical leadership responsibilities </li></ul><p/><h3>What We’re Looking For</h3><ul><li>A senior researcher who <strong>builds models</strong>, not dashboards </li><li>A hands-on technologist who understands model architecture, training, and optimization </li><li>Someone who can define strategy, lead initiatives, and still write production-quality code </li><li>A strong independent problem solver comfortable with ambiguity and research-driven development </li><li>A technical leader who can mentor others while delivering individually</li></ul><p/><h3>Key Responsibilities</h3><h3>Research, Development & Implementation</h3><ul><li>Design, build, train, and deploy AI/ML and LLM-based models </li><li>Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment </li><li>Apply strong understanding of ML and AI fundamentals to real-world biomedical problems </li><li>Develop and optimize models using Python and modern ML frameworks </li><li>Research emerging techniques and propose innovative solutions aligned with product and business needs </li></ul><h3>Problem Solving & Strategy</h3><ul><li> Independently analyze complex, ambiguous problems and determine appropriate modeling approaches </li><li> Evaluate and recommend technical solutions and system architectures </li><li> Translate research concepts into scalable, production-ready systems </li><li> Contribute to long-term ML and AI strategy and technical vision </li></ul><h3>Leadership </h3><ul><li> Lead cross-project research and development initiatives </li><li> Provide technical mentorship and guidance to junior researchers and engineers </li><li> Establish best practices for experimentation, model development, and deployment </li><li> Influence technical roadmaps and architectural decisions</li></ul><p><strong>Requirements</strong></p><h3>Required Qualifications</h3><ul><li>7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering </li><li>Graduate degree in Computer Science, Engineering, or a related technical field </li><li>Strong hands-on experience building, training, and deploying ML and AI models, including LLMs </li><li>Deep understanding of model fundamentals and architecture design </li><li>Proven ability to solve problems end-to-end, from research through implementation </li><li>Advanced proficiency in Python for model development and training </li><li>Experience customizing models rather than relying solely on pre-built solutions </li><li>Ability to independently research, evaluate, and propose technical approaches </li></ul><p/><h3>Preferred Qualifications</h3><ul><li>Publication record in top-tier AI, NLP, or ML conferences </li><li>Experience working with EMR or other complex clinical datasets </li><li>Experience with multi-modal AI systems </li><li>Prior senior or lead-level technical experience </li><li>Familiarity with regulatory considerations for clinical AI systems </li><li>Experience contributing to long-term technical strategy or system architecture </li><li>PhD is welcome but <strong>not required</strong></li></ul><p/><h3>Team Culture:</h3><ul><li><em>We lead with empathy for patients and our teammates</em></li><li><em>We value small egos, self-awareness, and humility in our teammates</em></li><li><em>We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift</em></li><li><em>We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team</em></li><li><em>We value open dialogue and brainstorming across multidisciplinary teams</em></li></ul><p/><p><em>Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws.</em></p><p><strong>Benefits</strong></p><ul><li>Competitive Salary</li><li>Health Care Plan (Medical, Dental & Vision)</li><li>Retirement Plan (401k, IRA)</li><li>Generous Paid Time Off (Vacation, Sick & Public Holidays)</li><li>Family Leave (Maternity, Paternity)</li><li>Training & Professional Development Support</li><li>Remote work</li></ul>

Dyania Health

Senior Staff / Staff Research Scientist

Workable

The person will: Perform a moderate number of simple or moderate technical procedures; Require occasional guidance; Occasionally be responsible for ordering routine supplies; Rarely modify technical procedures; Rarely train other lab members; Rarely guide other lab members; A simple / limited understanding of scientific literature and the research goals and rationale is required; Occasionally analyze data; Rarely interpret data; Rarely make written contributions to papers and grant proposals. POSITION RESPONSIBILITIES: The Analytical Imaging Facility (AIF) is a College-wide core resource administered by the Montefiore Einstein Cancer Center specializing in offering sophisticated imaging modalities to biomedical scientists at all levels of expertise.

POSITION RESPONSIBILITIES:
<p style="margin:3.9pt 17.55pt 0.0001pt 25.7pt">The Analytical Imaging Facility (AIF) is a College-wide core resource administered by the Montefiore Einstein Cancer Center specializing in offering sophisticated imaging modalities to biomedical scientists at all levels of expertise. The technician will participate in the light microscopy component of a variety of projects from a diverse group of investigators.</p><p style="margin:3.9pt 17.55pt 0.0001pt 25.7pt"> </p><p style="margin:0px">Procedures include:</p><ul><li><div>Operation and maintenance of basic turnkey light microscopes, under supervision. </div></li><li><div class="x_elementToProof">Assist to digitize H&E and fluorescence slides with a slide scanner.</div></li><li><div>Assist users in basic microscope operation.</div></li><li><div class="x_elementToProof">Use commercial software platforms to visualize image data.</div></li><li><div>Assist with maintenance of computer hardware and software.</div></li><li><div class="x_elementToProof">Under supervision perform basic image analysis using lab developed protocols.</div></li><li><div class="x_elementToProof">Assist with routine sample prep for light sheet microscopy.</div></li></ul><p style="margin-right:9.35pt">The person will:</p><ul><li style="margin:0in 9.35pt 0.0001pt 0.75in">Perform a moderate number of simple or moderate technical procedures; </li><li style="margin:0in 9.35pt 0.0001pt 0.75in">Require occasional guidance;</li><li style="margin:0in 9.35pt 0.0001pt 0.75in">Occasionally be responsible for ordering routine supplies; </li><li style="margin:0in 9.35pt 0.0001pt 0.75in">Rarely modify technical procedures;</li><li style="margin:0in 9.35pt 0.0001pt 0.75in">Rarely train other lab members;</li><li style="margin:0in 9.35pt 0.0001pt 0.75in">Rarely guide other lab members; </li><li style="margin:0in 9.35pt 0.0001pt 0.75in">A simple / limited understanding of scientific literature and the research goals and rationale is required; </li><li style="margin:0in 9.35pt 0.0001pt 0.75in">Occasionally analyze data;</li><li style="margin:0in 9.35pt 0.0001pt 0.75in">Rarely interpret data;</li><li style="margin:0in 9.35pt 0.0001pt 0.75in">Rarely make written contributions to papers and grant proposals.</li></ul><p style="margin:6pt 9.35pt 6pt 0.25in"> </p>

QUALIFICATIONS:
<ul><li><p style="margin-right:9.35pt">Bachelors Degree required, and zero to two years of related experience.</p><p style="margin:6pt 0in 6pt 0in"> </p></li></ul>

Additional Information:
In compliance with NYC's Pay Transparency Act, the hourly rates for this are listed below. This rate is based on the 1199 bargaining unit contract.

Hiring Rate:
$27.60

Post Probationary Rate:
$28.13

Job Rate:
$29.30

Maximum Salary Range:
USD $26.80/Hr.

Albert Einstein College of Medicine

Research Technician B

Biomedical Scientist Jobs in New York, NY