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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 ...

Biohub

Machine Learning Engineer, AI

Manhattan, NY

$214K - $335K/yr

Machine Learning Engineer, AI New York, NY (Hybrid) Biohub is the first large-scale initiative ... Scaled biological foundation models trained on some of the largest GPU clusters dedicated to ...

Output Biosciences

Head of Biology

New York, NY · On-site

$120K - $250K/yr

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, Inc

Head of Biology

New York, NY · On-site

$120K - $250K/yr

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 ...

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Qualifications Must-Have * 3+ years of research, academic, or industry experience in Machine Learning , Data Science , Software Engineering , Computer Science , Statistics , Biology , Electrical ...

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

As of Jun 10, 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 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 kinds of projects do Biology Machine Learning Interns 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 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.
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Senior Data Scientist

Formation Bio

New York, NY • Hybrid

$177K - $232K/yr

Other

Posted 26 days ago

Job description

About the Position

As a Senior Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. 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 insights. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives. 

Responsibilities

  • Lead and execute complex data science projects that directly advance our drug development portfolio 
  • Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
  • Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints 
  • Aid in the development and training of AI agents to automate and optimize biomedical workflows 
  • Collaborate cross-functionally with clinical, technical, and research teams 
  • Present complex analytical findings to senior stakeholders, including executive leadership 

About You

Required Qualifications 

  • PhD in computational sciences or life sciences 
  • 3+ years of post-academic experience in life sciences (biotech, pharma, consulting) 
  • Strong programming skills, particularly in Python 
  • Extensive experience in multi-modal bioinformatics analysis 

Preferred Qualifications 

  • Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases 
  • Strong background in machine learning and deep learning, particularly in biological applications 
  • Experience with large language models (LLM)
  • Demonstrated ability to collaborate effectively with engineering teams on production systems
  • Strong communication skills with proven ability to present complex technical findings to senior stakeholders 

Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with additional growth in the Research Triangle (NC) and San Francisco Bay Area. Please only apply if you reside in these locations or are willing to relocate.

Compensation:

The target salary range for this role is: $177,500 - $232,000.

Salary ranges are informed by a number of factors including geographic location. The range provided includes base salary only. In addition to base salary, we offer equity, comprehensive benefits, generous perks, hybrid flexibility, and more. If this range doesn't match your expectations, please still apply because we may have something else for you.

You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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