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Phd Library Science Jobs in New York (NOW HIRING)

Prior Labs

Applied Scientist, Data Science

New York, NY · On-site

PhD or Master's in a quantitative field, plus 3+ years of experience building and deploying ML/AI ... Contributions to open-source libraries or data science tooling * A portfolio of blog posts, talks ...

Neion Bio

Viral Vector Scientist, Avian

New York, NY · On-site

$120/hr

PhD (or BA with 7+ years of experience/MS with 5+ years of experience) in biological sciences ... any science related field, or equivalent experience * Experience with cloning large libraries or ...

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How much do phd library science jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for phd library science in New York is $17.22, according to ZipRecruiter salary data. Most workers in this role earn between $12.88 and $19.18 per hour, depending on experience, location, and employer.

What cities in New York are hiring for Phd Library Science jobs?

Cities in New York with the most Phd Library Science job openings:

Phd Library Science jobs near you
Infographic showing various Phd Library Science job openings in New York as of June 2026, with employment types broken down into 32% Full Time, 65% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $35,810 per year, or $17.2 per hour.

Senior/Principal Machine Learning Scientist, Structure and Simulation (AI for Drug Discovery)

F. Hoffmann-La Roche AG

Manhattan, NY • On-site

$141.30 - $274.40/hr

Other

Posted 10 days ago

Job description

Overview

We are developing models to drive a step‑change in machine learning for drug discovery, transforming disparate processes into a unified approach across all drug modalities.

Responsibilities
  • Develop novel machine learning methods to address challenging research questions in large‑molecule drug discovery.
  • Work with heterogeneous biological and chemical data.
  • Contribute to an initiative consolidating machine learning theory projects into a coherent lab‑in‑the‑loop drug discovery model.
  • Provide leadership in the consolidation initiative (for Principal Scientist).
Senior Scientist Qualifications
  • BS+7 to PhD+2 years in computer science, life or physical sciences, or equivalent experience designing and building machine learning systems for molecules or biological sequences.
  • Proficiency with Python and deep‑learning libraries such as PyTorch, TensorFlow, or JAX.
  • Familiarity with modern machine learning research areas like reinforcement learning, sampling, and multimodal representation learning.
  • At least one first‑author publication or equivalent research experience.
  • Strong communication and collaboration skills.
  • Portfolio of computational projects available on GitHub.
Principal Scientist Qualifications
  • BS+10 to PhD+5 years in computer science, life or physical sciences, or equivalent experience designing and building machine learning systems for molecules or biological sequences.
  • Proficiency with Python and deep‑learning libraries such as PyTorch, TensorFlow, or JAX.
  • Familiarity with modern machine learning research areas like reinforcement learning, sampling, and multimodal representation learning.
  • At least one first‑author publication or equivalent research experience.
  • Strong communication and collaboration skills.
  • Portfolio of computational projects available on GitHub.
Benefits and Compensation

Senior Scientist (SanFrancisco): $147,800 – $274,400; Senior Scientist (NewYorkCity): $141,300 – $262,500.
Principal Scientist (SanFrancisco): $172,400 – $320,200; Principal Scientist (NewYorkCity): $164,900 – $306,300.
Relocation benefits are not available. Annual discretionary bonus may be available based on performance. Position qualifies for comprehensive benefits.

Equal Opportunity Statement

Genentech is an equal opportunity employer. Employment decisions are based on merit, qualifications, and competence. The company prohibits unlawful discrimination, including on the basis of veteran status, disability, and all applicable laws.

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