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Intern Computational Protein Design Jobs (NOW HIRING)

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Participate in the development of future research directions and proposals to secure ongoing projects in computational protein design. * Balance multiple projects/tasks and priorities to ensure ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Participate in the development of future research directions and proposals to secure ongoing projects in computational protein design. * Balance multiple projects/tasks and priorities to ensure ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Participate in the development of future research directions and proposals to secure ongoing projects in computational protein design. * Balance multiple projects/tasks and priorities to ensure ...

Arcadia Science

Protein Designer

Emeryville, CA · On-site

$130K - $180K/yr

Collaborate cross-functionally with computational and experimental scientists > * Contribute to the development and improvement of analyses, tools, and methodologies related to protein design and the ...

Arcadia Science

Protein Designer

Emeryville, CA

$130K - $180K/yr

Collaborate cross-functionally with computational and experimental scientists * Contribute to the development and improvement of analyses, tools, and methodologies related to protein design and the ...

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How much do intern computational protein design jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for intern computational protein design in the United States is $19.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.63 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern in Computational Protein Design, and why are they important?

To thrive as an Intern in Computational Protein Design, you need a background in biochemistry, molecular biology, or a related field, with foundational knowledge in protein structure and function. Familiarity with computational tools such as Rosetta, PyMOL, and programming languages like Python or C++ is commonly required. Strong analytical skills, attention to detail, and effective communication are valuable soft skills for collaborating on research projects. These competencies are essential for accurately modeling proteins, interpreting results, and contributing to innovative scientific discoveries.

What does an Intern in Computational Protein Design do?

An Intern in Computational Protein Design assists research teams in designing and modeling proteins using computer-based methods. Their work often involves using specialized software to predict protein structures, analyze protein interactions, and simulate protein folding. Interns may also help interpret experimental data, write code for data analysis, and contribute to ongoing research projects. This role provides valuable hands-on experience in both computational biology and bioinformatics, helping interns develop skills that are in high demand in biotechnology and pharmaceutical industries.

What types of projects and responsibilities can an Intern in Computational Protein Design expect to work on during their internship?

As an Intern in Computational Protein Design, you will typically assist with designing and modeling proteins using computational tools, analyzing protein structures, and interpreting simulation data under the supervision of senior scientists. You may contribute to ongoing research projects, help optimize protein sequences for specific functions, and prepare reports or presentations on your findings. Interns often collaborate closely with interdisciplinary teams, including biochemists, molecular biologists, and software engineers, gaining exposure to both experimental and computational approaches. This role provides valuable hands-on experience with industry-standard software and fosters a deeper understanding of the protein design process.
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Infographic showing various Intern Computational Protein Design job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $40,304 per year, or $19.4 per hour.

Scientist-Principal Scientist, Protein Design & Structure

Superluminal Medicines, Inc.

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

About Superluminal Medicines:
Superluminal Medicines is a generative biology and chemistry company revolutionizing the speed and accuracy of how small molecule medicines are created. The Company's platform aims to create candidate-ready compounds with unprecedented speed using a combination of deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure. We are expanding the team of talented scientists who seek to build the future of small molecule drug discovery with creativity and innovation.
Position Summary
We are seeking a highly innovative and experienced Scientist/Senior Scientist/Principal Scientist to lead GPCR protein engineering and production efforts. The successful candidate will be a subject matter expert (SME) in membrane protein biochemistry, responsible for developing and implementing strategies to express, purify, and characterize challenging G-protein coupled receptors (GPCRs) to support structural biology, biophysics, and drug discovery programs. This role involves hands-on laboratory work and scientific leadership.
Key Responsibilities
  • Protein Engineering Strategy: Design, execute, and optimize constructs for GPCR expression.
  • Expression & Purification: Drive the development of high-throughput protein expression (mammalian/insect cells) and purification workflows, ensuring high-quality, homogeneous protein for assays and structural studies (Cryo-EM).
  • Cross-Functional Collaboration: Partner with pharmacology, structural biology, and medicinal chemistry teams to support drug discovery projects and advance programs from hit-to-lead and lead optimization.
  • Technical Leadership: Serve as a SME on GPCR protein sciences in internal and external project teams; evaluate and implement new technologies.
  • Scientific Documentation & Communication: Document experiments in ELN, present data at internal/external meetings, and publish research findings.

Required Qualifications
  • Ph.D. in Biochemistry, Molecular Biology, Biophysics, or a related field with 2+ years (Scientist), 5+ years (Senior Scientist), or 8+ years (Principal Scientist) of relevant experience; or a master's or bachelor's degree in a related field with commensurate industry experience.
  • Deep knowledge of GPCR biology and membrane protein structure-function relationships.
  • Proven expertise in molecular biology (cloning, construct design, mutagenesis).
  • Hands-on experience in protein purification of GPCRs using FPLC (affinity, SEC).
  • Familiarity with protein stabilization techniques (e.g., antibody fragments, fusion partners, mutagenesis).
  • Excellent communication, interpersonal, and leadership skills.

Preferred Qualifications
  • Experience with structural biology methods (data collection and processing for Cryo-EM).
  • Experience in laboratory automation in protein sciences & purification.
  • Background in computational protein design tools (e.g., Rosetta, AI/ML-driven prediction).

Benefits:
Superluminal offers a comprehensive benefits package that fully covers employees' annual deductibles and monthly premiums for medical, dental, and vision insurance. The package also includes a 401(k) match program, a Massachusetts transportation subsidy, equity, unlimited paid time off, and both disability and life insurance.
Equal Opportunity Statement:
Superluminal Medicines is an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status.

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