maintenance mechanic Jobs in New York United States

maintenance mechanic

maintenance technician Jobs in New York United States

maintenance technician

manager, production operations Jobs in New York United States

manager, production operations

machine operator

Software Engineer, Computer Vision

WIDIA

<div>
 With over 80 years as an industrial technology leader, Kennametal Inc. delivers productivity to customers through materials science, tooling and wear-resistant solutions. Customers across aerospace, earthworks, energy, general engineering and transportation turn to Kennametal to help them manufacture with precision and efficiency. Every day approximately 10,000 employees are helping customers in more than 60 countries stay competitive. Kennametal generated nearly $2.4 billion in revenues in fiscal 2019. Learn more at www.kennametal.com. Follow @Kennametal: Twitter, Instagram, Facebook, LinkedIn and YouTube.
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  Job Title:
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 Process Engineer
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  Location:
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 New Market, VA
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  Job Summary
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 The Engineer Process position supports metal-cutting manufacturing operations. Role enables production performance that is viable in terms of cost, quality, and delivery while meeting environmental, health, and safety standards. This position supports steel cutting tool manufacturing; identifying opportunities to improve processes through the application of new equipment and systems, improved programming techniques, process evaluation/improvements, and other engineering-related areas. The Engineer Process supports all areas of plant operations. Scope of responsibilities includes cnc milling, cnc turning, cnc grinding, induction brazing, EDM, heat treatment, surface treatment, additive manufacturing, and the maintenance of all equipment, process and the facility. Works directly under the supervision of Manager Process Engineering.
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  Key Job Responsibilities
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   Determine manufacturing process including creating routings and bill of materials, identifying and procuring needed tooling, and designing work holding and gauges
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   Coordinate with Production Planning, Quality Assurance, CNC Programming, and Manufacturing to manage preproduction process to planned lead times
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   Evaluate product designs for manufacturability and make improvement recommendations
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   Provide manufacturing support with direct action, assistance, or coordination for quality and productivity improvements, issues and problems, and capital purchases
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   Supervise and provide direction for maintenance team; coordinating maintenance activities and managing maintenance budget
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   Communicate and coordinate with machine manufactures or 3rd party services to address machine issues
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   Develop project plans, budgets, team selection, and assign activities. Conduct progress reviews, implement corrective actions, assure all EHS guidelines and requirements are met and report progress to plant management
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   Prepare metrics, progress, status, and reports on key aspects of the assigned area of responsibility
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   Develop and/or transition new processes to manufacturing
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   Perform analysis and develop recommendations in support of achieving business objectives
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   Develop, improve, and standardize manufacturing processes, including writing work instructions, procedures, and control plans
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  </li>
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  Education, Work Experience, Skills, Certificates
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   Bachelor&rsquo;s degree in Engineering or related field
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   1-3 years of relevant work experience required
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   Experience in metal-cutting and CNC preferred
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   Strong knowledge of MS Office and CAD/CAM software, NX preferred
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   Effective communication with shopfloor employees and cross functional departments to coordinate production activities.
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   5 years of experience in engineering industries is preferred. Knowledge on carbide tool manufacturing process.
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   Knowledge on production planning and scheduling.
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   Knowledge on SAP
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  To be considered for this position, you must be legally authorized to work in the US (excluding Optional Practice Testing) and not require sponsorship now or in the future
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 As part of our core values, Kennametal is committed to providing an inclusive and welcoming environment for all people. We are an Equal Opportunity employer.
</div>


Process Engineer

Paul, Weiss, Rifkind, Wharton & Garrison LLP

<p></p><div><div><p><b>GENERAL SUMMARY:</b></p><p>
As a member of the Knowledge and Innovation Department (&ldquo;K&amp;I&rdquo;), the Practice Innovation Assistant supports K&amp;I in creating and improving solutions that help lawyers work more efficiently and deliver better client services. The Practice Innovation Assistant administers the firm's collaboration, document automation and machine learning solutions, and assists with innovation projects involving lawyers, clients and vendors. The Assistant also contributes to testing, training, communication and marketing activities to promote the adoption and use of these solutions.</p><p><b>
PRINCIPAL DUTIES AND RESPONSIBILITIES:</b></p><ul><li> Develop proficiency with K&amp;I solutions including client extranet, document automation, data analytics and machine learning tools, to support the needs of the department.</li><li> Execute on requests to manage user accounts and content on K&amp;I solutions, and connect with new users of K&amp;I solutions to ensure they have access to necessary training and support.</li><li> Monitor firm usage of K&amp;I solutions and intervene when required to help lawyers make the best use of these tools.</li><li> Review K&amp;I solution usage statistics, aggregate and visualize data and produce reports to highlight trends in adoption.</li><li> Prepare and compile quarterly governance reports and ensure proper record keeping in connection with certifications and annual audits.</li><li> Assist with application testing and troubleshooting efforts, report any issues or suggestions for improvement to the K&amp;I team.</li><li> Support the K&amp;I team in communicating and marketing the benefits and features of new technologies to lawyers and clients.</li><li> Assist in producing collateral for new product pilots including the creation of training materials and test scripts.</li><li> Stay current on new legal technologies by reviewing daily news feeds on new products and peer firm initiatives. Report out to the team any new information relevant to current work or goals.</li><li> Complete other projects as assigned by members of the Practice Innovation team.</li></ul></div><div></div><div><p><b><br>
JOB SPECIFICATIONS:</b></p><p><b>
Qualifications</b></p><ul><li> Undergraduate degree</li><li> Ability to troubleshoot and resolve problems effectively and in a timely manner.</li><li> Friendly and helpful attitude and a strong customer service orientation.</li><li> Effective interpersonal and communication skills.</li><li> Highly developed organizational ability, sound judgment and attention to detail.</li><li> Self-starter with a strong ability to effectively manage multiple projects concurrently and a flexibility and willingness to work extended hours as required.</li><li> Strong sense of urgency and professional dedication.</li><li> High proficiency in Word, Excel, PowerPoint, and web-based tools.</li><li> Professional interest in concepts such as artificial intelligence, automation, generative AI, innovation, and legal technology.</li><li> Prior legal or other professional services experience is a plus.</li></ul><p></p><p><b><br>
WORK REQUIREMENTS:</b></p><p>
This is a hybrid role which requires in-office attendance in accordance with the schedule set forth by the department. A hybrid schedule is an essential</p><p>
function of this role.</p><p></p><p><b><br>
SALARY:</b><br>
$60,000. <i>Paul, Weiss offers competitive compensation and benefits packages. The firm considers a number of factors when determining compensation, including, but not limited to, education, years of experience, levels of experience, competency levels and other relevant skills and qualifications.</i></p><p><b>
DISCLAIMER STATEMENT: The preceding job description has been designed to indicate the general nature and level of the work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualification required of employees assigned to this job.</b></p><p></p><div><br>
</div></div><div><b>
Organization</b> Paul, Weiss, Rifkind, Wharton &amp; Garrison LLP</div><div><b>
Work Locations</b> 1285 Avenue of Americas, New York, NY 10019-6064</div><div><b>
Job Posting</b> Oct 24, 2025, 3:27:08 PM</div></div>

Practice Innovation Assistant

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p><b>About the Role
</b></p><p></p><p>We are seeking a highly skilled Machine Learning Engineer to design, build, and productionalize models that drive customer growth, engagement and retention. This role will focus specifically on attrition prediction and mitigation - identifying customers at risk of churn and surfacing proactive interventions that improve customer satisfaction and lifetime value.
</p><p></p><p>You will work closely with data scientists, software engineers, product managers, and business stakeholders to build scalable ML systems that power attrition predictions, risk and mitigation explanations and next best action recommendations.
</p><p></p><p><b>Key Responsibilities:
</b></p><ul><li><p>Design predictive models for user and customer attrition using supervised, unsupervised, deep learning and generative techniques.
</p></li><li><p>Design scalable data pipelines for feature generation from both structured and unstructured sources of product adoption, sales activity, and customer engagement data (e.g. product telemetry, usage logs, CRM, sales activity, etc.)
</p></li><li><p>Build and maintain production-grade ML services , integrating models into APIs or decision systems that support real-time and batch use cases.
</p></li><li><p>Continuously monitor and improve model performance through drift detection, retraining automation and impact measurement.
</p></li><li><p>Collaborate with product and engineering teams to integrate models into production systems and agentic experiences, ensuring scalability, robustness and efficiency.
</p></li><li><p>Mentor junior engineers and data scientists and provide technical leadership in model architecture, experimentation, and deployment best practices.
</p></li></ul><p></p><p><b>What We&rsquo;re Looking For
</b></p><ul><li><p>Demonstrated ability to take models from research to production
</p></li><li><p>Strong software engineering proficiency in Python and data manipulation skills like SQL.
</p></li><li><p>Experience using third-party and in-house Machine learning tools and infrastructure to develop reusable, high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
</p></li><li><p>Exposure to architectural patterns of a large, high-scale software application (e.g. well-designed APIs, high volume data pipelines, efficient algorithms, etc.)
</p></li><li><p>Familiarity with ML libraries such as scikit-learn, XGBoost, Pytorch, or TensorFlow
</p></li><li><p>Experience with feature engineering on big data (Spark, Trino, Snowflake, etc.)
</p></li><li><p>Experience with ML lifecycle management tools (ML Flow, Airflow, Kubeflow or equivalents).
</p></li><li><p>Experience with containerization technologies (Docker) and orchestration (Kubernetes).
</p></li><li><p>Strong grasp of model evaluation, drift monitoring and explainability best practices.
</p></li><li><p>Experience with Agile development methodology, Test-Driven Development, incremental delivery, and CI/CD
</p></li><li><p>Experience owning and operating services throughout the software development lifecycle including design, development, release and maintenance.
</p></li><li><p>Experience communicating technical vision, mentoring junior engineers and managing projects.
</p></li><li><p>Experience developing and evaluating AI Agents that integrate with traditional ML models, (e.g. combining predictive scoring systems with generative or agentic workflows to automate customer engagement flows and recommendations.
</p></li></ul><p></p><p><b>Preferred Qualifications (Bonus Points):
</b></p><ul><li><p>Familiarity with retention modeling or next best action recommendation systems.
</p></li><li><p>Experience developing or contributing to shared ML frameworks or internal ML Ops platforms.
</p></li><li><p>Experience with Feature Stores like Feast
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
<p></p>For New York-based roles, the base salary hiring range for this position is $137,100 to $334,600.</div><p></p>

Senior/Lead Machine Learning Engineer

Upper East Dental Innovations

<p>We are a modern dental office looking to fill pediatric dentist position with the right candidate being enthusiastic about their dental work, willing to provide the highest level of care at all times, define themselves as a personable and organized.</p><p>We are fully paperless and equipped with latest dental technologies such as digital X-rays, digital scanners, CT X-ray machine and many more. In addition, we also clinical support with direct one-on-one mentorship. This is a part-time position.</p><p>Responsibilities &amp; Duties:</p><p>- Responsible for providing high-quality dental care to our patients<br/>- Create dental treatment plans and coordinate oral health care during patient consultations<br/>- Ensure treatment plan is reviewed with each family, and receive informed consents for treatments services<br/>- Deliver quality dental care to every patient<br/>- Repair decayed and broken teeth through restoration techniques, potentially extract teeth, pulp therapy, sealants, sedation dentistry, behavior management and preventative dentistry.<br/>- Adhere to all federal and government regulations, including the state dental board rules and regulations, HIPAA and OSHA regulations<br/>- Provide leadership and direction to clinical support staff in all areas of patient treatment<br/>- Consistently portray a positive working attitude that fosters a pleasant work environment</p><p>Requirements:</p><p>- DDS or DMD from an ADA accredited dental school<br/>- Must have completed a Pediatric Dentistry Residency<br/>- 1 Year Experience preferred<br/>- Job Type: Part-time</p><p>Job Types: Full-time, Part-time</p><p>Pay: $136,076.81 - $163,877.45 per year</p><p>Work Location: In person</p>

Pediatric Dentist

Spotify

<div><div><div><div><div><div>Data, Research &amp; Insights</div></div></div><div><div>
Research Science</div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
We are seeking a Principal Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:</div></div><div><div><div><br>
</div><div>Partnerships with record labels, distributors, and music publishers: We&rsquo;ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.</div><div>
Choice in participation: We recognize there&rsquo;s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.</div><div>
Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.</div><div>
Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.</div><div><br>
</div><div>For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing.</li><li>
Run large-scale experiments with access to Spotify&rsquo;s extensive infrastructure and an audience of more than 700 million monthly active users.</li><li>
Create practical applications that harness generative technologies, pushing the boundaries of what&rsquo;s possible in listening experiences.</li><li>
Collaborate as part of a cross-functional team&mdash;working closely with scientists, engineers, product managers, designers, user researchers, and analysts&mdash;to craft innovative solutions to complex challenges.</li><li>
Have a direct impact on Spotify&rsquo;s products, tools, and services, working on projects that influence the entire organization.</li><li>
Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.</li><li>
You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.</li><li>
You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.</li><li>
You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy.</li><li>
You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.</li><li>
You are enthusiastic about learning more about turning research ideas into products operating at scale.</li><li>
You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.</li><li>
This team operates within the Eastern Standard time zone for collaboration.</li><li>
Core working hours are CET 3pm-6pm / EST 9am-12pm.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $252,318 - $360,454 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Principal Research Scientist, Music

Mount Sinai Health System

<div><b>Description</b><p>
A grant-funded Bioinformatician position is available in a lab in the Windreich Department of AI and Human Health at Icahn School of Medicine at Mount Sinai. The Bioinformatician will work with a group of researchers on innovative analyses of genetic disease in electronic health records (EHR). The individual will support research projects by delivering bioinformatics services for medical, genetic, and multi-omic data. The specific project supported by this position focuses on using machine learning and AI methods to detect undiagnosed rare genetic disease in medical databases, including Mount Sinai patients. The ideal candidate will have strong statistical and programming proficiencies with proven expertise in machine learning and deep learning. Good organization and communication skills, with demonstrated ability to productively work as a member of a team. Strong verbal and written communication skills in English are required.</p><b><br>
Responsibilities</b><ul><li>
Conducts statistical and genetic analyses</li><li>
Uses software to gather, store, manipulate and analyze research data</li><li>
Develops and evaluates predictive models of rare genetic disease</li><li>
Work independently on a variety of bioinformatics analysis projects to support efforts in the lab</li><li>
Participate in the preparation of manuscripts and presentations</li><li>
Other related duties as assigned</li></ul><br>
<b>
Qualifications</b><ul><li>
B.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline; M.S. preferred</li><li>
3 years experience required</li><li>
Working experience with genetics or statistics analysis software and online resources. Experience in programming environments such as Matlab, R statistical package, BioConductor, Perl or C++.</li></ul><p></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 $65000.17 - $87610 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>

Bioinformatician I - Windreich Department of AI & Human Health

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