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Phd Library Science Jobs in Boston, MA (NOW HIRING)

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a ... Proficiency in Python, including familiarity with data science libraries like pandas and scikit ...

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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 Boston, MA is $17.10, according to ZipRecruiter salary data. Most workers in this role earn between $12.79 and $19.09 per hour, depending on experience, location, and employer.

What cities near Boston, MA are hiring for Phd Library Science jobs?

Cities near Boston, MA with the most Phd Library Science job openings:

Phd Library Science jobs near you
Infographic showing various Phd Library Science job openings in Boston, MA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $35,555 per year, or $17.1 per hour.

Computational Scientist, Assay Development

Manifold Bio

Boston, MA • On-site

$38.25 - $48/hr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening. They are seeking an exceptional Computational Scientist to join their Quantitative Biology team, where the candidate will design and analyze protein library experiments and advance projects in protein design and machine learning.
Responsibilities:
• Invent new quantitative protein engineering assays working with experimental scientists
• Build robust data pipelines with rich metrics and statistics for real-time dataset analysis and reporting
• Perform analysis and "hit calling" support, contributing new insights to active projects
• Improve library design workflows to best co-optimize antibody libraries for enhanced performance
• Write and contribute robust code in shared libraries for common protein design tasks
• Collaborate on designing high-throughput experiments and analyze/interpret results from phage display (biopanning, phi-seq, in vivo) and yeast display platforms
• Deliver high-quality data reporting through slides and documentation for cross-functional teams
• Proactively share findings with colleagues through excellent documentation and discussions
Qualifications:
Required:
• PhD and/or 4+ years of equivalent experience in computational biology, bioinformatics, protein engineering, antibody engineering, or similar field working with biological sequences
• Rich experience with Python, agentic coding, data pipeline development
• Familiarity with version control, test-driven development, and Unix computing
• Strong antibody engineering background with first-hand experience in antibody design, optimization, or discovery
• Experience with massively parallel reporter assays (MPRAs) and high-throughput screening data analysis
• Experience designing DNA libraries for binders, DMS, phage display, or equivalent high-throughput experiments
• Experience working with Next Generation Sequencing (NGS) data from library-based experiments
• Strong understanding of statistics fundamentals and data analysis methodologies
• Outstanding written and verbal communication skills for cross-functional collaboration
Preferred:
• Intuition or exposure to best practices in software/data engineering
• Industry experience in antibody therapeutic development or biotechnology R&D
• Track record of developing computational tools or pipelines adopted by experimental teams
• Experience mentoring junior scientists or leading cross-functional project teams
• Publications or patents in antibody engineering, protein design, or high-throughput screening methods
• Familiarity with cloud computing platforms (AWS, GCP) and containerization technologies
Company:
Manifold Bio is building a protein barcoding platform to bring the power of multiplexed measurement. Founded in 2020, the company is headquartered in Boston, USA, with a team of 11-50 employees. The company is currently Early Stage.

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