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Summer Intern - In Silico Discovery

AT Johnson & Johnson
Johnson & Johnson

Summer Intern - In Silico Discovery

Cambridge, MA

Johnson & Johnson Innovative Medicine is recruiting a current Ph.D. student for a 12-week summer research internship on the Cheminformatics team within the Therapeutics Discovery organization. In this position, the intern will work on evaluating and improving computational methods for peptide drug design and optimization. The position is located in Cambridge, MA.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity. Learn more at https://www.jnj.com/.

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The successful candidate will be a highly motivated and technically skilled individual with a strong background in computational chemistry or cheminformatics. This internship presents a great opportunity to gain hands-on experience with In silico peptide modeling tools, while learning from a hard-working cross-disciplinary team of scientists and engineers. Your work will be crucial to building, evaluating, and applying new tools to the pipeline for this emerging therapeutic modality.

Qualifications

Qualifications:

Required:

  • 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

Preferred:

  • 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.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.

Client-provided location(s): Cambridge, MA, USA
Job ID: Johnson&Johnson-2506235890W
Employment Type: Intern