applied scientist, agi Jobs in New York United States

applied scientist, agi

associate researcher ii-renal Jobs in New York United States

associate researcher ii-renal

clinical genomic scientist Jobs in New York United States

clinical genomic scientist

energy research scientist Jobs in New York United States

energy research scientist

global research management associate Jobs in New York United States

global research management associate

postdoctoral research scientist

Lamont-Doherty Earth Observatory

<div>
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  Application Instructions
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   We accept online applications only.&nbsp;To apply, use this link: https://apply.interfolio.com/176661
  </li>
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  The Lamont-Doherty Earth Observatory of Columbia University invites applications for a Postdoctoral Research Scientist position in Computional Mineral Physics. The position is part of the National Science Foundation (NSF) funded project "Machine Learning Serpentines".
 </p>
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 </p>
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  The successful candidate will be an experienced computational materials physicist or scientist with advanced skills in scientific computing and materials simulations. Expertise in materials theory, first-principles modeling, and high-performance computing is essential. Experience with free energy and elasticity calculations is highly desirable but not required.
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  <br/>
 </p>
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  A primary goal of this project is to develop a database of thermdynamic and thermoelastic properties of serpentine phases for use in geophysical modeling, particularly for interpreting seismic tomography models of subduction zones. The project involves regular collaboration with seismologists and offers an opportunity to work across disciplinary boundaries.
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  &nbsp;
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  <strong>
   Qualifications
  </strong>
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  Candidates should have recently completed or be nearing completion of a Ph.D. in Computational Mineral/Materials Physics, Materials Science, or a closely related field. Possess a strong record of research in computational methods applied to materials and mineral physics. Demonstrated ability to work collaboratively across disciplines.
 </p>
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  The position is initially funded for one year, with possible extensions of up to two and a half years, contingent on performance and funding availability.&nbsp;
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  The position will be posted for at least 30 days after the ad appears and will remain open until the position is filled.
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  Columbia University benefits accompany this Officer of Research appointment.&nbsp;&nbsp;
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Postdoctoral Research Scientist

American Museum

<div><h2 class="jobSectionHeader"><b>Posting Details</b></h2>
<div><div><div>Position Information
</div><p></p><div><div><div><div><b>Position Title</b></div> <div>MAT Postdoctoral Fellow, Division of Physical Sciences</div>
</div><br>
<div><div><b>Department</b></div> <div>Education - 050</div>
</div><br>
<div><div><b>Position Summary</b></div>
<div><div>The American Museum of Natural History is one of the world&rsquo;s preeminent scientific and cultural institutions, and has as its mission to discover, interpret and disseminate information about human cultures, the natural world and the universe through a wide-ranging program of scientific research, education and exhibition.<br>
<br>
The Division of Physical Sciences is seeking a candidate for a 1 year postdoctoral fellowship consisting of 75% research and 25% education. The research will be conducted in fields related to the interests of curatorial faculty member Denton Ebel, particularly experimental petrology research on samples from the collection to investigate topics in magma genesis, volatile content of silicic melts, and hydrous mineral stability in relation to T, P and melt composition. The education component entails serving on the faculty of the RGGS Master-of-Arts in Teaching (MAT) Earth Science residency program (http://www.amnh.org/learn-teach/master-of-arts-in-teaching) designed to prepare Earth science teachers for 7-12th grade high needs public school classroom.<br>
<br>
Job duties include, but are not limited to:</div><ul>
<li>Carry out scientific research.</li>
<li>Write scholarly peer-reviewed papers on the results of the research.</li>
<li>Present scientific results at professional meetings, scientific institutions, and when appropriate to the media and popular audiences.</li>
<li>Participate in departmental affairs, including service organizing visiting scholar seminars.</li>
<li>Co-teach as part of the faculty for SCI 680, the Summer Science Practicum course offered as part of the RGGS MAT Earth Science Residency program, including: organizing activities on site and during field excursions and advising, facilitating, and assessing residents in Practicum research projects.</li>
<li>Participating in admissions and attending monthly faculty meetings.</li><br>
<p></p>
</ul><div>
<br>
The expected salary range for the Postdoctoral Fellow is $63,000/annual. The AMNH offers an extensive benefits package designed to meet the needs of our dedicated and diverse community.<br>
<br>
Pay will be determined based on several factors. The hiring range for the position at commencement is based on the type of work and the scope of responsibilities. The salary and placement offered is based on a number of individualized factors, including, but not limited to, skills, knowledge, training, education, credentials, areas of specialization and depth and scope of experience.</div></div>
</div><br>
<div><div><b>Minimum Qualifications</b></div>
<ul><li>Ph.D. in Planetary Science, Geology or another closely related field.</li>
<li>Scientific research resulting from or following obtaining a Ph.D.</li>
<li>Educational experience as a lecturer, graduate assistant, teacher, field guide, or outreach worker.</li>
<li>Demonstrated ability to conduct meaningful scientific research.</li>
</ul>
</div><br>
<div><div><b>Preferred Qualifications</b></div>
</div><br>
<div></div><div><div><b>Physical Demands</b></div>
<div><ul><li>Must be able to remain in a stationary position (sitting or standing) for prolonged periods.</li>
<li>Must be able to occasionally lift up to 20 pounds.</li>
<li>Must be able to move about the Museum campus.</li></ul></div><br>
<p></p>
</div><br>
<div><div><b>Category</b></div> <div>Full-Time/Term</div>
</div><br>
<div><div><b>Total Number of Scheduled Hours Per Pay Period</b></div> <div>70</div>
</div><br>
<div><div><b>Union Status</b></div> <div>Non-Union</div>
</div><br>
<div><div><b>FLSA</b></div>
</div><br>
<div></div><div><div><b>Expected Salary Minimum</b></div> <div>$63,000/annual</div>
</div><br>
<div><div><b>Expected Salary Maximum</b></div> <div>$63,000/annual</div></div></div></div></div></div></div><p></p>

MAT Postdoctoral Fellow, Division of Physical Sciences

DataAnnotation

<div>
 We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 <br/>
 <br/>
 In this role you will need to hold an expert level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics.
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  Benefits
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   This is a full-time or part-time REMOTE position
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   You&rsquo;ll be able to choose which projects you want to work on
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   You can work on your own schedule
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   Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
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  </li>
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  Responsibilities
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  <br/>
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   Give AI chatbots complex physics problems and evaluate their outputs
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   Evaluate the quality produced by AI models for correctness and performance
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  </li>
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  Qualifications
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   Fluency in English (native or bilingual level)
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   Detail-oriented
  </li>
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   Strong grasp of classical mechanics, E&amp;M, thermodynamics, and basic quantum concepts
  </li>
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   A current, in progress, or completed Master's and/or PhD is preferred but not required
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  </li>
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  Notes
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 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
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 <br/>
 #physics
</div>


Energy Research Scientist

Mount Sinai Health System

<div><b>Description</b><p>
Under limited supervision, the Associate Researcher II conducts experiments using advanced techniques specific to the research project. Analyzes and assists in interpreting moderately complex results.</p><b><br>
Responsibilities</b><p>
(in order of importance and/or frequency)</p>
<p>
1.*Conducts experiments using advanced research techniques specific to subject matter of the research project.</p>
<p>
2.*Analyzes and assists in interpreting moderately complex results.</p>
<p>
3.*Performs assays to support research studies.</p>
<p>
4.*Assists in new and unexpected research experiments and techniques.</p>
<p>
5.*Assists in the collection, analysis and review of experimental data for publication and presentation.</p>
<p>
6. May train less-experienced research staff and postdoctoral fellows in research techniques and use of equipment.</p>
<p>
7. Performs other related duties</p>
<ul><li>-indicates duty is essential as defined by the Americans with Disabilities Act (ADA)</li></ul><b><br>
Qualifications</b><ul>
<li>Bachelors Degree in sciences or related field or equivalent experience</li>
<li>2 years in a research environment or 1 year plus Masters Degree in sciences or related field</li>
</ul><p></p><p><b>
Compensation Statement</b></p><p></p><p>
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $58,660.91 - $81,882.34 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p><p>
, 036 - Renal MSH - ISM, Icahn School of Medicine</p><b><br>
Employer Description</b><p><b>
Strength through Unity and Inclusion</b></p>
<p>
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.</p>
<p>
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.</p>
<p><b>
About the Mount Sinai Health System:</b></p>
<p>
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.</p><p><b><br>
Compensation</b></p><p>
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $58660.91 - $81882.34 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p></div>

Associate Researcher II-Renal

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
<br>
<br>
Key job responsibilities<br>
As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead the development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon&rsquo;s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI).<br>
<br>
About the team<br>
The AGI team has a mission to push the envelope in LLMs and multimodal systems, in order to provide the best-possible experience for our customers.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 3+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience with popular deep learning frameworks such as MxNet and Tensor Flow.</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in Computer Science, Electrical Engineering, Mathematics or related field</li><li>Strong experience with model evaluations with multimodal LLMs and Generative Artificial Intelligence (GenAI) in Computer Vision (image and video domains)</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience with popular deep learning frameworks, including PyTorch</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Artificial General Intelligence

Norm AI

<div><p><b>About Norm Ai</b></p><p>
Norm Ai, the leading Legal &amp; Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust.</p><p></p><p>
Norm&rsquo;s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise.</p><p></p><p>
We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO).</p><p></p><p>
Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm&rsquo;s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows.</p><p></p><p>
Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams.</p><p></p><p><b>
About Norm Law</b></p><p>
Norm Law is the first AI-native full-service law firm for global institutional clients like Blackstone (see recent coverage of our Blackstone partnership. Legal Engineering, a discipline pioneered by Norm Ai, where lawyers develop legal AI agents, powers Norm Law to deliver faster, more precise, and more consistent legal services. With purpose-built AI agents completing first passes of work, Norm lawyers supervise, review, and focus on what matters most: strategic judgment and expert advice.</p><p></p><p>
Norm Law and Norm Ai, together, are building Legal AGI.</p><p></p><p><b>
This Role</b></p><p>
As a Founding AI Engineer, you will work side-by-side with partners and associates. You&rsquo;ll build fast prototypes, test them directly in live workflows, and push successful systems into our platform. The role blends full stack engineering, AI, and data science. It requires fluency in production codebases, speed in iteration, and depth in applying LLMs to solve real problems.</p><p></p><p>
This is a hands-on role at the intersection of AI, reasoning, and high-stakes decision-making. You&rsquo;ll work embedded with domain experts (e.g., lawyers, analysts, compliance officers) to observe workflows, identify inefficiencies, and prototype AI systems that transform how expert reasoning is performed.</p><p></p><p><b>
Skills &amp; Experience</b></p><ul><li><p>
4+ years of experience as a software engineer, ML engineer, or data scientist</p></li><li><p>
Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis</p></li><li><p>
Willingness to work with frontend technologies (Typescript, React, etc.) to bridge the gap between research ideas and the productization of new initiatives</p></li><li><p>
Experience in AI/ML infrastructure and tooling</p></li><li><p>
Interest in becoming a legal and compliance domain expert and working closely with professionals in the field</p></li><li><p>
Strong reading, writing, and quantitative skills, as well as a data-driven approach to problem solving</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Skills &amp; Experience - Pluses</b></h3><ul><li><p>
Previously built one off analytical systems in trading, research, or other data-heavy fields.</p></li><li><p>
Interest in working directly with non-technical experts to translate their logic into code.</p></li><li><p>
Familiarity with and an eagerness to apply the latest AI research</p></li><li><p>
Experience applying traditional ML systems and processes in the context of state-of-the-art LLMs</p></li><li><p>
Experience deriving insights from PDFs and other unstructured or semi-structured data types</p></li><li><p>
Experience with context engineering and memory in the context of AI agents</p></li><li><p>
Experience modeling uncertainty in ML systems</p></li></ul><p></p><p><b>
Comp &amp; Benefits</b></p><p><i>
$220,000-$285,000 base + employee equity (level dependent)</i></p><p></p><p>
The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans.</p><p></p><p>
We embrace a flexible hybrid model, typically in-office 4-5 days per week. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.</p><p></p><p><i>
If you&rsquo;re interested in the role but aren&rsquo;t sure whether you&rsquo;re a good fit, we&rsquo;d still like to hear from you.</i></p><p>
To learn more about Norm Ai, visit our <b>website</b>.</p></div>

Founding AI Engineer - Norm Law

New York Genome Center

<div>
 <p>
  The New York Genome Center is looking for a highly motivated, detail-oriented individual to join our rapidly expanding CLIA certified Molecular Diagnostic Laboratory. Clinical Genomic Scientist (CGS) will report to the Laboratory Directors and will be responsible for clinical analysis and interpretation of Whole Genome Sequencing (WGS) data. Responsibilities include but are not limited to variant curation and interpretation following the most current ACMG and ClinGen guidelines, genotype-phenotype correlation, variant database maintenance and mining, assistance with drafting clinical reports, and assisting Lab Directors with other day-to-day tasks. Clinical Genomic Scientists will work as a part of a team of highly experienced molecular diagnostic laboratory and informatics staff to produce clinical reports from WGS data. These positions are anticipated to be remote or hybrid remote / onsite.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities include, but are not limited to:
 </p>
 <ul>
  <li>
   Identify, annotate and investigate the clinical significance of variants found in NGS-based clinical tests;
  </li>
  <li>
   Prepare variant assessment summary, classify variants as per ACMG criteria, maintain accurate and detailed records of variant classification;
  </li>
  <li>
   Identify and prioritize variants of interest using information from clinical notes;
  </li>
  <li>
   Assist with literature review for variants of clinical interest;
  </li>
  <li>
   Review results of Sanger sequencing qPCR, chromosomal microarray, or other assays used for confirmation of NGS findings and prepare variant level summary for clinical reporting;
  </li>
  <li>
   Prepare presentations for clinical case reviews and present evidence for multi-disciplinary review meetings;
  </li>
  <li>
   Participate in new assay validations and translational clinical activities as assigned.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Masters or PhD in molecular biology, human genetics, biochemistry, or a related field is required.
  </li>
  <li>
   Experience in searching and extracting information from commonly used genomics databases such as ClinVar, gnomAD, HPO, NCBI etc;
  </li>
  <li>
   Strong knowledge of Molecular Biology and Mendelian genetic diseases;
  </li>
  <li>
   Excellent general laboratory and organizational skills, including the ability to work independently with minimal supervision and to train others in laboratory methods;
  </li>
  <li>
   Strong communication skills to work as a member of a collaborative team
  </li>
  <li>
   Thrives in a fast-paced, rapidly changing, start-up like environment;
  </li>
  <li>
   Self-motivated and capable of analyzing and solving complex problems through innovative thought and experience.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred
  </strong>
 </p>
 <ul>
  <li>
   Prior experience working in a high volume molecular diagnostic laboratory;
  </li>
  <li>
   Experience with germline variant classification and gene curation as per ACMG and ClinGen guidelines;
  </li>
  <li>
   Previous exposure to NGS based molecular diagnostic testing such as WGS, WES, and gene panels;
  </li>
  <li>
   Knowledge of phenotype ontologies;
  </li>
  <li>
   Prior experience with variant curation and interpretation from the clinical genome or exome data is highly desirable;
  </li>
  <li>
   Prior experience with somatic variant curation, database mining and reporting is a plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Competencies
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Technical and Professional Skills
   </strong>
   : Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments.
  </li>
  <li>
   <strong>
    Collaborative &amp; Communicative
   </strong>
   : Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so.
  </li>
  <li>
   <strong>
    Adaptable &amp; Innovative
   </strong>
   : Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Work Flexibility
  </strong>
 </p>
 <p>
  NYGC has established a flexible work policy to give employees and other staff more ability to balance their work, personal commitments, and commuting challenges. The incumbent in this position is eligible for a flexible work schedule, a hybrid remote work arrangement or a fully remote work arrangement with supervisory approval.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Salary
  </strong>
 </p>
 <p>
  The pay range for this position is $85K-100K per year; base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the New York Genome Center
  </strong>
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  The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer&rsquo;s, Parkinson&rsquo;s, Huntington&rsquo;s), and cancer.
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  Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with twelve leading academic medical centers and research universities in the New York region and beyond, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner
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   Equal Opportunity
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  We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization.
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  The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities.
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  FLSA Status &ndash; Exempt
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  This position is eligible for visa sponsorship and relocation assistance.
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Clinical Genomic Scientist

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