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Machine Learning Biology Jobs in New York (NOW HIRING)

You have experience working with protein language models or machine learning applied to biological sequences and structures * You have strong programming skills in Python, with experience building ...

You have experience working with protein language models or machine learning applied to biological sequences and structures * You have strong programming skills in Python, with experience building ...

Head of Biology

Manhattan, NY · On-site

$90 - $120/hr

You have experience working with protein language models or machine learning applied to biological sequences and structures * You have strong programming skills in Python, with experience building ...

Stay current with advances in computational biology, machine learning, and scalable infrastructure, applying them to ongoing research challenges. * Communicate findings clearly through reports ...

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Machine Learning Biology information

See New York salary details

$25.2K

$57.1K

$81.5K

How much do machine learning biology jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning biology in New York is $57,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $66,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in machine learning biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.

What is a machine learning biology?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

What are the key skills and qualifications needed to thrive in machine learning biology?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

What are the most commonly searched types of Machine Learning Biology jobs in New York? The most popular types of Machine Learning Biology jobs in New York are:
What job categories do people searching Machine Learning Biology jobs in New York look for? The top searched job categories for Machine Learning Biology jobs in New York are:
Infographic showing various Machine Learning Biology job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $57,097 per year, or $27.5 per hour.

Machine Learning Researcher and Engineer

StaffRight Associates, LLC

Manhattan, NY • On-site

$300K - $900K/yr

Other

Posted yesterday

New


Job description

Practice Group: Machine Learning & Computational BiologyAbout the Role:

Innovation in quantitative science and high-performance computing requires more than data—it demands world-class infrastructure, sophisticated modeling, and flawless execution.

StaffRight Associates has been retained to source elite talent for a premier global quantitative research and technology firm. We are seeking an exceptional Machine Learning Researcher and Engineer to join a highly collaborative, intellectually rigorous interdisciplinary team applying machine learning to drug discovery, biomolecular simulation, and biophysics.

This is a high-impact position designed for a driven problem-solver who thrives at the intersection of deep learning architecture, computational biology, and real-world execution.

Key Responsibilities:
  • Architect & Build: Design, optimize, and maintain critical deep learning models and software tools driving proprietary research in drug discovery and molecular dynamics.

  • Data & Research Execution: Translate complex scientific datasets and abstract biological challenges into clear, scalable, high-performance machine learning frameworks.

  • Systemic Optimization: Enhance model accuracy and computational throughput across specialized high-performance environments and supercomputing platforms.

  • Cross-Functional Collaboration: Serve as a key technical interface, working directly alongside chemists, biologists, and computer scientists.

What You Bring:
  • Academic Pedigree: Bachelor''s, Master’s, or Ph.D. in Computer Science, Applied Mathematics, Biophysics, Medicinal Chemistry, or a related STEM discipline.

  • Technical Mastery: Strong command of core technical concepts and tools including Python, Deep Learning Frameworks, Machine Learning Architecture, Molecular Dynamics, Structural Biology, Cheminformatics, and Quantum Chemistry.

  • Analytical Precision: Proven track record of scientific innovation and solving multi-faceted problems in high-performance computing, deep learning, or computational biology.

  • Agile Mindset: Ability to balance rigorous scientific standards with fast-paced, autonomous execution in a collaborative research environment.

Compensation & Work Model:
  • Base Salary Range: $300,000 – $900,000 annually (commensurate with prior experience and education).

  • Additional Benefits: Variable compensation (sign-on and year-end bonuses), comprehensive health benefits, plus full relocation assistance.

  • Work Schedule: Hybrid (Tuesday through Thursday in office; optional work-from-home on Monday and Friday).

Why Apply Through StaffRight Associates?

At StaffRight Associates, we specialize in placing elite technical talent into industry-defining roles. Partnering with us gives you:

  • Direct Access: We put your profile directly in front of the hiring decision-makers, bypassing automated ATS filters.

  • Transparent Guidance: Comprehensive insight into the interview process, technical expectations, and firm culture.

  • Confidential Representation: Your background and candidacy are handled with total discretion at every step.