Scientist, Protein Expression

Anthology; Cambridge (MA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Equity

Comprehensive benefits

Job summary

Anthology in Cambridge, MA, is seeking a Scientist - Protein Expression to lead recombinant protein production in fungi, managing workflows from molecular cloning to assay development.

This role involves mentoring research associates, optimizing screening methods, and collaborating with diverse teams in a new cutting-edge facility. Candidates should possess a Ph.D. in a related field and strong protein and molecular biology skills.

Competitive salary and benefits offered, with a start date ASAP.

Qualifications

• Ph.D. (or equivalent experience) in biochemistry, bioengineering or related field.
• Strong molecular cloning skills and experience with complex genetic assemblies.
• Experience in working with microbial protein expression assays.

Responsibilities

• Design and execute molecular cloning workflows.
• Optimize genetic systems for genome-wide screening.
• Manage and mentor research associates.

Skills

Molecular cloning

Protein expression and characterization

Data processing

Education

Ph.D. in biochemistry, bioengineering, microbiology or related field

Tools

SDS-PAGE

Western blot

ELISA

Mass spectrometry

Python

Job description

Scientist - Protein Expression (Full-Time)

Location: Cambridge, MA (On-site)
Company: Anthology Bio

Company summary

Anthology is Boston-based genome design company. We engineer fungi through advanced genetics, microfluidics, and AI to biomanufacture functional proteins at 5-10× lower cost compared to extracting these proteins from their natural sources. Our goal is to build a climate-resilient protein supply chain for human and planetary health. Backed by leading deep-tech investors, we have partnered with global nutrition and ingredient manufacturers to bring cost-effective proteins to market.

Overall:

We are looking for a scientist to drive recombinant protein expression in filamentous fungi. Reporting to the Director of R&D, you will own core platform work — from molecular cloning and fungal transformation through expression screening and assay development — while also contributing to genome-wide screening and sequencing efforts. You will mentor research associates, collaborate across microfluidics and computational teams, and bring both rational and evolutionary engineering approaches to bear on hard expression problems. This is a role for someone who can operate independently, troubleshoot creatively, and grow with the platform.

Responsibilities:

• Design and execute molecular cloning workflows to construct and optimize fungal expression
• Optimize genetic systems for genome-wide screening and sequencing
• Develop and run protein expression assays in shake flask format, from culture setup through quantification and characterization
• Independently troubleshoot experimental challenges, propose solutions, and develop improved experimental plans
• Communicate and collaborate effectively with team members across diverse scientific and technical roles
• Manage and mentor research associates with varied scientific backgrounds
• Work with the microfluidics team to adapt and validate protein assays for microdroplet-based high-throughput screening
• Maintain rigorous experimental documentation to support reproducibility and platform iteration

Qualifications:

• Ph.D. (or equivalent experience) in biochemistry, bioengineering, microbiology, synthetic biology, systems biology, or a related field
• Strong molecular cloning skills and experience constructing complex genetic assemblies
• Experience with protein expression and characterization including SDS-PAGE, western blot, ELISA, mass spec, or equivalent assays
• Strong understanding of rational and evolutionary engineering principles
• Able to work on-site in Cambridge, MA
• Authorized to work in the United States (STEM-OPT or J1 are welcomed)

Nice to have

• Direct experience culturing and/or engineering filamentous fungi Aspergillus, Trichoderma, or similar and/or yeast S. cerevisiae, Pichia pastoris, or similar
• Familiarity with protein design using biological language models (ESM, ProteinMPNN, RFdiffusion, or similar)
• Python scripting experience — data processing, assay analysis, or bioinformatics workflows

Why work at Anthology?

• Work on a genuinely hard, open-ended problem — fungal expression biology at the frontier of what's commercially relevant
• Collaborate across wet lab, microfluidics, and computational teams in a highly integrated environment
• Brand-new 150K sq ft deep-tech facility at The Engine by MIT
• Competitive salary, equity, and benefits

Start Date:

ASAP