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Machine Learning Biology Jobs in New York (NOW HIRING)

Formation Bio

Principal Data Scientist

New York, NY · On-site

$204K - $267K/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 ...

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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 22, 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 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 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 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 are popular job titles related to Machine Learning Biology jobs in New York?

For Machine Learning Biology jobs in New York, the most frequently searched job titles 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:

Machine Learning Biology jobs near you
Infographic showing various Machine Learning Biology job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $57,097 per year, or $27.5 per hour.

Senior / Principal Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery

Genentech, Inc.

New York, NY • On-site

Full-time

Re-posted 11 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
The Opportunity
At Roche's AI for Drug Discovery (AIDD) group (Prescient Design), we are revolutionizing drug discovery with cutting-edge machine learning (ML) techniques. We are seeking a Senior or Principal Machine Learning Scientist to join the Foundation Models team within Prescient Design (gRED). In this role, you will drive the development of our internal reasoning Large Language Models (LLMs) and enable it to succeed at drug discovery tasks, including biomolecular design. You will work at the intersection of engineering and research, designing and scaling large machine learning systems.
In this role, you will:
  • Technical Leadership & Strategy: Lead the design and evolution of scientific reasoning systems, setting technical direction for model architectures, training strategies, and evaluation methodologies.
  • Model Capability & Improvement: Define and execute approaches to systematically improve model performance on scientific tasks, including long-horizon reasoning and complex decision-making.
  • Domain Translation: Translate biological and chemical domain knowledge into machine learning objectives, training signals, and evaluation criteria, working closely with domain experts.
  • Scalable Systems & Engineering: Architect and improve large-scale distributed machine learning systems, ensuring robustness, efficiency, and reproducibility across training and evaluation workflows.
  • Research-to-Production Impact: Partner with researchers and cross-functional teams to move models from research prototypes to production-ready systems that support active discovery programs.

As a Senior ML Scientist:
  • You are the primary driver of technical implementation for scientific reasoning, translating high-level research goals into robust training code.
  • You own the end-to-end integrity of large-scale training runs, from data orchestration to the development of rigorous reasoning benchmarks.
  • You act as a technical mentor to junior staff and interns, fostering a culture of engineering excellence and rapid experimentation.

As a Principal ML Scientist:
  • You help define the long-term technical roadmap for scientific reasoning models, identifying new opportunities and setting priorities across initiatives.
  • You architect new initiatives that integrate diverse data modalities, guiding the technical direction of cross-functional projects across gRED.
  • You serve as a key technical authority for leadership, influencing how Genentech leverages generative AI to solve high-stakes problems in the therapeutic pipeline.

Who you are
  • PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
  • Experience:
    • For Senior (SE6): 0 - 2+ years of industry or post-doc experience with a focus on deep learning.
    • For Principal (SE7): 5+ years of industry or post-PhD experience with a demonstrated track record of technical leadership and project ownership.
  • LLM Expertise: Extensive experience developing and training large-scale machine learning models, including approaches to improve domain understanding, reasoning capabilities, and model alignment.
  • Publication Record: A strong history of research excellence at top-tier venues (e.g., NeurIPS, ICLR, ICML).
  • Engineering: Strong software engineering skills and experience designing and operating large-scale or high-performance machine learning systems.

Preferred
  • Experience with molecular modalities (e.g., protein sequences, chemical graphs, and structured molecular data) is highly valued but not required.
  • A public portfolio of research or significant contributions to open-source ML libraries.
  • A passion for applying frontier AI to drug discovery.

Relocation benefits are NOT available for this job posting
The expected salary range for this position, based on the primary location of San Francisco, is $167,400 - 310,800 of hiring range for the Senior Scientist, and $194,000 - 360,400 for the Principal Scientist. For the primary of location of New York City, $160,100 - 297,300 for the Senior Scientist, and $185,600 - 344,600 for the Principal Scientist. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#ComputationCoE
#tech4lifeComputationalScience
#tech4lifeAI
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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