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Algorithmic Engineer Jobs in New York (NOW HIRING)

Wintermute

DeFi Algorithmic Trader

New York, NY · On-site

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Proficiency in programming with at least one of Rust or Python * Comfortable working on Linux ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud ...

Wintermute

DeFi Algorithmic Trader

New York, NY · Remote

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Proficiency in programming with at least one of Rust or Python * Comfortable working on Linux ...

Pivotal Solutions

Senior AI Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Algorithm Development: Design and implement state-of-the-art generative AI algorithms, such as GANs, VAEs, Transformers, and other deep generative models, to enhance media buying decisions. Algorithm ...

Norbert Health

Signal Processing Engineer

New York, NY · On-site

You'll develop and validate algorithms that extract clinical-grade physiological signals (heart rate, blood pressure, respiration) from camera data, working closely with computer vision engineers in ...

Norbert Health

Signal Processing Engineer

New York, NY · On-site

You'll develop and validate algorithms that extract clinical-grade physiological signals (heart rate, blood pressure, respiration) from camera data, working closely with computer vision engineers in ...

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All JobsAlgorithmic Engineer JobsAlgorithmic Engineer Jobs in New York

Algorithmic Engineer information

See New York salary details

$65.1K

$122.1K

$222.1K

How much do algorithmic engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for algorithmic engineer in New York is $122,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,100.00 and $145,000.00 per year, depending on experience, location, and employer.

What is the difference between Algorithmic Engineer vs Data Scientist?

AspectAlgorithmic EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems; often in tech or finance industriesAnalyzes data to extract insights; works in tech, finance, healthcare, and more
Employer & Industry UsageTech companies, finance firms, R&D departmentsTech companies, consulting firms, research institutions

While both roles require strong programming and analytical skills, Algorithmic Engineers focus on designing and implementing algorithms for systems and applications, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in tech environments but serve different primary functions.

What are popular job titles related to Algorithmic Engineer jobs in New York? For Algorithmic Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Algorithmic Engineer jobs in New York look for? The top searched job categories for Algorithmic Engineer jobs in New York are:
What cities in New York are hiring for Algorithmic Engineer jobs? Cities in New York with the most Algorithmic Engineer job openings:
Algorithmic Engineer jobs near you

Computational and Algorithmic Scientist - Biostatistics Service

Msk

New York, NY

$121K - $200K/yr

Full-time

Posted 27 days ago

Job description

About Us:

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe.

Exciting Opportunity at MSK: At Memorial Sloan Kettering Cancer Center (MSK), data drives discovery-and discovery saves lives. We are seeking a dedicated and highly skilled Computational and Algorithmic Scientist to design, develop, and sustain algorithms, software systems, and analytical pipelines that power cutting-edge cancer genomics, medical imaging, and EHR-based research.

In this role, you will work closely with Biostatistics faculty and scientific teams whose research directly informs clinical decision-making and improves patient outcomes.

Together, we are building robust, production-quality computational systems that enable advanced analysis of complex biomedical datasets. This role is ideal for someone who thrives at the intersection of statistical modeling, machine learning, and scalable software systems, and enjoys translating complex scientific questions into reliable, maintainable, and reproducible solutions

Role Overview:

  • Design, implement, and maintain algorithms, software systems, and data pipelines supporting cancer genomics, medical imaging, and clinical data
  • Collaborate with interdisciplinary teams to translate research and analytical questions into production-quality computational solutions
  • Develop tools and services for data ingestion, validation, transformation, storage, and access, ensuring performance and data integrity
  • Apply statistical and machine learning methods to large-scale biomedical datasets
  • Leverage modern computing approaches, including parallel processing, GPU acceleration, and distributed systems, where appropriate
  • Implement best practices in software engineering, including version control, testing, and documentation
  • Optimize systems for performance, scalability, and reliability
  • Communicate technical designs and trade-offs clearly to both technical and scientific collaborators
  • Contribute to shared libraries, internal platforms, and long-term architectural direction

Key Qualifications:

  • PhD preferred, or Master's degree with 2+ years of relevant experience in computational science, data science, engineering, or a related field
  • Experience applying statistical modeling and/or machine learning methods to genomics, imaging, or clinical data
  • Experience in biotech, life sciences, or healthcare data environments
  • Proficiency in one or more programming languages commonly used in data-intensive systems (e.g., Python, R)
  • Familiarity with data storage and management systems, including SQL/NoSQL databases, object storage, data lakes, and data warehouses
  • Familiarity with common genomics and imaging data formats (e.g., BAM, VCF, DICOM, OME-TIFF)
  • Exposure to scalable computing environments, such as cloud platforms, HPC systems, or distributed computing frameworks

Core Skills:

  • Strong statistical thinking and analytical reasoning
  • Experience building reliable, scalable computational systems for scientific applications
  • Solid software engineering practices with emphasis on code quality, testing, and maintainability
  • Ability to operate effectively in multidisciplinary research environments
  • Interest in solving complex, real-world scientific problems
  • Commitment to reproducibility and robust research computing practices

Additional Information:

  • Schedule: Monday - Friday, 37.5 hrs., onsite
  • Location: 633 Third Avenue, NYC
  • Reporting to: Biostatistics Service Leader

Helpful Links:

  • Compensation Philosophy
  • Benefits

#LI-POST

Pay Range: $121,400.00 - $200,400.00FSLA Status: Exempt

Closing:

At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

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