Senior Scientist, High-Throughput Protein Binder Screening

CHEManager International; Watertown (MA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Equity

Benefits package

Job summary

Digital Biology is seeking a Senior Scientist to lead our partnered high-throughput protein binder screening operation in Watertown, MA. You will champion protein library methods, cloning, and standardized SOPs, while staying hands-on to optimize protocols and support end-to-end workflow from library construction through analysis and QC.

You will grow a team screening millions of proteins per month and interface directly with partners to define data goals and deliver high-quality data, reporting

Qualifications

• Requires PhD in molecular biology, protein biochemistry, or related field.
• Proven ability to write SOPs and standardize workflows.
• Hands-on expertise in DNA library construction and cloning.
• Experience with high-throughput screening assays and data QC.

Responsibilities

• Lead research associates running high-throughput screening campaigns at a scale of millions of proteins per month.
• Own the core workflow end to end: DNA library cloning, production, selection, NGS prep, analysis, and QC.
• Establish SOPs, standardized protocols, and training materials.
• Optimize protocols hands-on to improve robustness, throughput, cost, and turnaround with lab automation.
• Set QC metrics and acceptance criteria, and sign off on data.
• Collaborate with computational scientists to report progress and risks.

Skills

Molecular cloning

NGS analysis

SOP writing

Lab automation

Team leadership

Education

PhD in molecular biology or related field

Job description

About Digital Biology

Digital Biology is the data lab for AI protein drug engineering, building a measurement-driven discovery engine for next-generation biologics. We combine high-throughput experimental systems, advanced molecular technologies, automation, and computational modeling to generate biological data at unprecedented scale and resolution.

Location

Watertown, MA

Employment Type

Full-time, on-site

About Digital Biology

Digital Biology is the data lab for AI protein drug engineering, building a measurement-driven discovery engine for next-generation biologics. We combine high-throughput experimental systems, advanced molecular technologies, automation, and computational modeling to generate biological data at unprecedented scale and resolution.

The Position

Digital Biology is hiring a Senior Scientist to lead our partnered high-throughput protein binder screening operation.

We are looking for an expert in protein library methods and molecular cloning who champions process: standardized protocols, robust SOPs, and well-trained teams. You will also stay hands-on, optimizing protocols and supporting successful operation of the workflow end to end, from library construction through analysis and QC.

In this role, you will have the opportunity to grow a team screening millions of proteins per month, and to interface directly with our partners in defining data goals and delivering quality data.

Responsibilities

• Lead research associates running high-throughput screening campaigns at a scale of millions of proteins per month.
• Own the core workflow end to end: DNA library cloning, production, selection, NGS preparation, analysis, and QC.
• Establish SOPs, standardized protocols, and training materials.
• Optimize protocols hands-on to improve robustness, throughput, cost, and turnaround, leveraging lab automation to scale and maintain consistency.
• Set QC metrics and acceptance criteria, and sign off on data.
• Work closely with computational scientists to close the loop, reporting progress and risks to the team and partners.

Qualifications

• 3+ years of industry experience running high-throughput assays; PhD in molecular biology, protein biochemistry, or a related field preferred
• Expert in molecular cloning, with hands-on experience building DNA libraries
• Experience running display campaigns (e.g. phage, yeast, mammalian)
• Working knowledge of NGS library preparation and sequencing-based analysis and QC
• A track record of writing SOPs, standardizing workflows, and training teams to run them reliably
• Experience managing research associates or scientists; automated liquid handling a plus

What We Offer

• The ability to generate and validate protein binding data at scale on one of the most capable experimental screening platforms
• A chance to shape the data foundations behind AI-driven protein and antibody design
• Close collaboration with experts in protein engineering, laboratory automation, and computational biology
• An ambitious team solving hard problems at the intersection of hard tech, biology, and ML
• Highly competitive salary, equity, and benefits package

Digital Biology is an equal-opportunity employer. We value different experiences, perspectives, and ways of thinking, and we believe the strongest scientific teams are built by bringing together people with diverse backgrounds and expertise.

Company Benefits: Health, vision, life, dental insurance and 401K plan.