Moonshot Computational Research Intern in AI-Driven Biology

Profluent Bio; Emeryville (CA); Hybrid; USD 34,000 - 55,000; Full time

Benefits offered by this job

Moonshot projects

Mentorship

Dynamic startup environment

Competitive internship compensation

Job summary

Profluent invites applications for a Computational Research Intern in Emeryville, CA. You will tackle moonshot projects at the intersection of bioinformatics and machine learning, with opportunities to publish your work and influence computational biology and AI-driven protein design.

You will collaborate with scientists and engineers, analyze genomic and protein datasets, and contribute to open-ended scientific challenges across biology and ML research.

Qualifications

• Enrolled in a BS, MS, or PhD program in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Strong programming skills in Python and familiarity with scientific computing libraries (e.g., NumPy, pandas, Jupyter).
• Experience in one or more of the following: machine learning, large-scale data analysis, genomics, or protein bioinformatics.
• Excellent problem-solving skills, scientific curiosity, and ability to work both independently and collaboratively.

Responsibilities

• Design and implement computational approaches to advance cutting-edge research in bioinformatics and machine learning.
• Analyze large-scale genomic and protein datasets to uncover new biological insights and capabilities.
• Collaborate closely with scientists and engineers across machine learning, protein engineering, and biology teams.
• Document and present research findings internally, with the potential to publish in leading journals and conferences.

Skills

Machine learning

Genomics

Protein bioinformatics

Collaboration

Education

Bioinformatics/Computational Biology/CS/Statistics BS/MS/PhD

Tools

Python

NumPy

Pandas

Jupyter

Job description

Profluent invites applications for a Computational Research Intern in Emeryville, CA. You will tackle moonshot projects at the intersection of bioinformatics and machine learning, with opportunities to publish your work and influence computational biology and AI-driven protein design.

You will collaborate with scientists and engineers, analyze genomic and protein datasets, and contribute to open-ended scientific challenges across biology and ML research.