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Biology Machine Learning Intern Jobs in Ridgewood, NJ

Formation Bio

Senior Data Scientist

New York, NY · Hybrid

$177K - $232K/yr

You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable ...

Output, Inc

Head of Biology

New York, NY · On-site

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 ...

Output Biosciences

Head of Biology

New York, NY · On-site

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 ...

Namely

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 ...

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All JobsBiology Machine Learning Intern JobsBiology Machine Learning Intern Jobs in Ridgewood, NJ

Biology Machine Learning Intern information

See Ridgewood, NJ salary details

$25.8K

$43.1K

$89K

How much do biology machine learning intern jobs pay per year?

As of Aug 20, 2026, the average yearly pay for biology machine learning intern in Ridgewood, NJ is $43,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 per year, depending on experience, location, and employer.

What does a biology machine learning intern do?

A Biology Machine Learning Intern works at the intersection of biology and computer science, applying machine learning techniques to analyze biological data. Their tasks often include processing large datasets, building predictive models, and supporting research projects that use artificial intelligence to solve biological problems. Interns may work on projects like drug discovery, genomics, or protein structure prediction, and typically collaborate with scientists and engineers. This role helps bridge the gap between experimental biology and data-driven insights.

What kinds of projects does a biology machine learning intern typically work on, and how do these projects contribute to the team?

Biology Machine Learning Interns often work on interdisciplinary projects that apply machine learning techniques to analyze biological data, such as genomics, protein structures, or cellular imaging. These projects may involve developing predictive models, automating data processing pipelines, or extracting meaningful patterns from large, complex datasets. Interns usually collaborate closely with both biologists and data scientists, gaining hands-on experience and contributing valuable insights that support ongoing research or product development. This collaborative environment not only enhances technical skills but also provides exposure to real-world applications of AI in life sciences.

What are the key skills and qualifications needed to thrive as a biology machine learning intern, and why are they important?

To thrive as a Biology Machine Learning Intern, you need a foundational understanding of biology, statistics, and programming (usually Python or R), often supported by coursework or a degree in a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), bioinformatics tools, and data analysis platforms is typically expected. Strong problem-solving abilities, attention to detail, and teamwork skills help interns excel in interdisciplinary research environments. These skills and qualities are crucial for effectively analyzing biological data, developing models, and contributing to innovative scientific solutions.

What are popular job titles related to Biology Machine Learning Intern jobs in Ridgewood, NJ?

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What job categories do people searching Biology Machine Learning Intern jobs in Ridgewood, NJ look for?

The top searched job categories for Biology Machine Learning Intern jobs in Ridgewood, NJ are:

What cities near Ridgewood, NJ are hiring for Biology Machine Learning Intern jobs?

Cities near Ridgewood, NJ with the most Biology Machine Learning Intern job openings:

Biology Machine Learning Intern jobs near you
Infographic showing various Biology Machine Learning Intern job openings in Ridgewood, NJ as of August 2026, with employment types broken down into 1% As Needed, 65% Full Time, 27% Part Time, 5% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,085 per year, or $20.7 per hour.

Research Software Developer For Drug Discovery

StaffRight Associates, LLC

Manhattan, NY • On-site

$250K - $600K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Practice Group: Computational Biology & Machine Learning Infrastructure

About The Role

Innovation in quantitative finance, computational biology, 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 investment and technology research firm. We are seeking an exceptional Software Developer For Drug Discovery to join a highly collaborative, intellectually rigorous team where computational excellence is the standard.

This is a high-impact position designed for a driven problem-solver who thrives at the intersection of complex architecture, advanced algorithms, and real-world execution.

Key Responsibilities

  • Architect & Build: Design, optimize, and maintain critical tools and infrastructure driving high-performance scientific workflows, cheminformatics algorithms, large-scale data management, scalable backend systems, and visualization software.

  • Data & Research Execution: Translate complex molecular datasets, chemical databases, and abstract technical challenges into clear, scalable, high-performance frameworks.

  • Systemic Optimization: Identify technical friction points, eliminate bottlenecks, and enhance operational velocity across high-concurrency and cluster architecture environments.

  • Cross-Functional Collaboration: Serve as a key technical interface, working directly with world-class chemists, biologists, machine learning engineers, and computer scientists.

What You Bring

  • Academic Pedigree: Bachelors, Masters, or Ph.D. in Computer Science, Applied Mathematics, Computational Biology, Physics, or a related STEM discipline.

  • Technical Mastery: Strong command of C++ and Python programming, Linux/UNIX tools, and high-performance data-parallel computing.

  • Specialized Expertise: Extensive experience with cheminformatics software packages (e.g., Virtual Screening, Docking, Computer-Aided Small Molecule Design, Molecular Modeling, Engineering Large-Scale Chemical Databases) and workflow engineering.

  • Analytical Precision: Proven track record of solving multi-faceted problems in high-performance computing, systems software, or cluster architectures.

  • Agile Mindset: Intellectual curiosity, versatility, and the ability to balance rigorous engineering standards with fast-paced, autonomous execution under pressure.

Compensation & Benefits

  • Annual Base Salary: $250,000–$600,000 (determined based on experience and educational background).

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

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 get 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.

Apply