Protein Engineering Co-op: ML-Guided Design & Lab Work

Flagship Pioneering, Inc.; Cambridge (MA); On-site; USD 34,000 - 48,000; Full time

Benefits offered by this job

Build alongside founders

Future opportunities across Flagship &

Mentorship & scientific rigor

Job summary

Serif Biomedicines, Inc. is seeking co-op students for a January–June 2027 term in Cambridge, MA.

You will join the protein engineering team, applying ML models to design novel proteins and performing bench experiments to validate computational predictions. You’ll build DNA libraries, perform yeast-based functional analyses with FACS/flow cytometry, and coordinate biophysical characterization with external vendors.

Qualifications

• Pursuing a MS in Molecular Biology, Cell Biology, Bioengineering, Biochemistry, or a related field.
• Hands-on experience with core wet-lab techniques: PCR, molecular cloning, flow cytometry
• Basic proficiency in a programming language used for data analysis (e.g., Python, R), and comfort working in command-line environments. Experience with DNA sequence analysis.
• Familiarity with ML architectures for protein engineering and common models (e.g., AlphaFold, RFDiffusion) a plus.
• Strong organizational skills, attention to detail, and clear written/verbal communication

Responsibilities

• Apply state-of-the-art ML models of protein sequence and structure to engineer novel proteins with desired functions.
• Construct DNA libraries and transform them into yeast for functional analysis with FACS and flow cytometry. Coordinate biophysical characterization of protein binders with thirdparty vendors.
• Analyze and clearly communicate experimental results; iterate protocols in collaboration with experienced scientists.

Skills

Co-op mindset

Curious problem-solver

Bench foundation with computational应用

Education

MS in Molecular Biology/Cell Biology/Bioengineering/Biochemistry or related

Tools

PCR

Molecular cloning

Flow cytometry

Job description

Serif Biomedicines, Inc. is seeking co-op students for a January–June 2027 term in Cambridge, MA.

You will join the protein engineering team, applying ML models to design novel proteins and performing bench experiments to validate computational predictions. You’ll build DNA libraries, perform yeast-based functional analyses with FACS/flow cytometry, and coordinate biophysical characterization with external vendors.