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Summer Intern - In Silico Discovery

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Science
    Research & Development
  • Cambridge

Requirements

  • Currently enrolled in a graduate program in Chemistry, Biophysics, Computational Chemistry, Chemical Engineering, Biomedical Engineering, Computational Biology, or a related field.
  • Proficiency in python for data analysis and visualization
  • Solid understanding of organic chemistry and structural biology
  • Experience with molecular modeling software such as Rosetta, AMBER, GROMACS, CHARMM, Schrodinger, or similar
  • Strong oral and written communication skills
  • Experience with python libraries including Jupyter, RDKit, Pandas, and Scikit-learn.
  • Experience with ML-based molecular modeling methods such as AlphaFold, RFDiffusion, ProteinMPNN, or similar.
  • Documented track record of publications and/or contributions to open-source tools (e.g. GitHub repositories).
  • Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

Responsibilities

  • The intern will work on evaluating and improving computational methods for peptide drug design and optimization.
  • Your work will be crucial to building, evaluating, and applying new tools to the pipeline for this emerging therapeutic modality.

FAQs

What is the duration of the summer internship?

The summer internship is 12 weeks long.

Where is the internship located?

The internship is located in Cambridge, MA.

What educational background is required for this position?

The candidate must be currently enrolled in a graduate program in Chemistry, Biophysics, Computational Chemistry, Chemical Engineering, Biomedical Engineering, Computational Biology, or a related field.

What programming language proficiency is required for this internship?

Proficiency in Python for data analysis and visualization is required.

What experience with molecular modeling software is preferred?

Experience with molecular modeling software such as Rosetta, AMBER, GROMACS, CHARMM, Schrodinger, or similar is preferred.

Is prior experience with machine learning methods important for this role?

Yes, experience with ML-based molecular modeling methods such as AlphaFold, RFDiffusion, ProteinMPNN, or similar is preferred.

Are there any restrictions on work authorization for this internship?

Yes, candidates must be permanently authorized to work in the U.S. and must not require sponsorship of an employment visa at the time of application or in the future.

Is there an emphasis on teamwork in this internship?

Yes, the internship involves working with a hard-working cross-disciplinary team of scientists and engineers.

Will there be opportunities for professional development during the internship?

Yes, this internship offers hands-on experience with In silico peptide modeling tools and the chance to learn from experienced professionals in the field.

What qualities are sought in a candidate for this position?

The candidate should be highly motivated, technically skilled, and possess strong oral and written communication skills.

Hospitals and Health Care

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

Profound Change Requires Boldness. Johnson & Johnson is the largest and most diversified healthcare products company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world.

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