Senior Scientist, Biologics Design and Display

MSD

Closes in 5 days Remote

Quick summary

Work type
Remote
Location
Boston, MA
Salary
$119,100–$187,500 / yr
Posted
2 days ago
Closes
Jul 7, 2026 (soon)
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $196k
This role $153k
$105k most similar roles pay here $250k

This role pays less than 81% of similar roles. Most pay $162,000–$229,025 — the shaded band above. At the midpoint, this role pays about $153k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About MSD

MSD (Merck Sharp & Dohme) is the international name for Merck & Co., a major U.S.-based pharmaceutical company.

MSD currently has 22 open roles on FindRole.

Listed pay typically runs $135,700–$213,600 across 22 roles with salary data.

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View all roles at MSD

At a glance

TL;DR · Senior Scientist, Biologics Design and Display

Role Posting Log in to save

The Senior Scientist role in Biologics Design and Display at the Boston Discovery Biologics group involves leading antibody discovery and optimization efforts through *in vitro* display campaigns, leveraging NGS data for hit and lead selection, and developing predictive AI/ML models to enhance therapeutic candidate engineering. Day-to-day responsibilities include designing and executing experiments, analyzing complex datasets, collaborating with cross-functional teams, and mentoring junior staff. The ideal candidate has expertise in antibody discovery using molecular display technologies like phage or yeast, knowledge of NGS data analysis, and proficiency in computational tools for drug discovery. They should also be adept at fostering innovation and working within a multidisciplinary environment to solve complex biological and pharmaceutical challenges.

Skills

NGS AI/ML Python R Bioinformatics Phage Display Yeast Display Molecular Biology Techniques High-Throughput Screening Laboratory Automation Protein Engineering Structural Analysis Computational Tools Lead Optimization Collaboration Platforms Project Management Detail-Oriented Problem Solving

What you'll do

  • Design and execute *in vitro* display campaigns for hit discovery and lead optimization.
  • Generate and analyze NGS datasets to support hit and lead selection in biologics development.
  • Develop machine learning models using experimental data to enhance antibody optimization.
  • Stay updated with scientific advancements to innovate display platform capabilities continuously.
  • Support project teams by collaborating across functions to advance therapeutic candidates.

What we're looking for

  • PhD in relevant STEM field with 0-3 years or MS with >3 years of industry experience
  • Expertise in antibody discovery and optimization using *in vitro* display technologies
  • Proficiency in applying AI/ML tools for antibody discovery and optimization
  • Hands-on experience with at least one molecular display technology (phage, yeast, mammalian)
  • Knowledge of NGS data generation and analysis techniques
  • Ability to build and utilize computational tools for therapeutic discovery and lead optimization

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