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

Job Function:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

US064 CA San Diego - 3210 Merryfield Row

Job Description:

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/ . 

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for a Summer Intern position in Drug Discovery Data Science group in In Silico Discovery (ISD) organization in La Jolla, CA.

The Drug Discovery Data Science group in In Silico Discovery (ISD) organization in La Jolla, CA is seeking a current PhD student for a 10-12 week summer research internship. We are looking for a knowledgeable, self-motivated, creative, and multi-skilled graduate student with a strong interest in machine-learning, data science and computational chemistry. In this position, the intern will develop cutting-edged in silico design strategies that primarily uses artificial intelligence to improve the accuracy of design and optimization of bifunctional degrader’s linkers.

This assignment offers the intern the opportunity to work as part of a cross-functional team in a pharmaceutical setting. This direct exposure will allow the student to learn the drug discovery process under the guidance of experienced scientists and contribute to improving the health of people worldwide.

Responsibilities

• Build a comprehensive dataset of known public and internal linkers of bifunctional degraders encompassing their structures and biodegrading efficacy.

• Based on the examination of the dataset, the intern is expected to have a better understanding of structure‒activity relationship (SAR) of bifunctional degraders highlighting the significance that specific linker characteristics involved in their function.

• Develop machine leaning models and integrate them to our internal bifunctional degrader’s drug discovery pipeline with a focus on facilitating the rapid and accurate design and optimization of novel linkers.

• Publication is also expected for this internship with the intention of disseminating our findings.

Qualifications

• Pursuing a PhD in a relevant field including computational chemistry, cheminformatics, data science, machine-learning, or a related field required.

• Documented coursework, training, or certification in intermediate machine-learning are required.

• Proficiency in coding in python and basic scripting in bash/shell required.

• Familiarity with python libraries such as pandas, jupyter, rdkit, scikit-learn and pytorch preferred.

• Experience with a computational chemistry toolkit (MOE/Openeye/Schrodinger, etc.) is desirable.

• Experience in targeted protein degradation is preferred but not required.

• 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.

The anticipated base pay for this position is between 22$ per hour and 51.50$ per hour but will be based on candidate's program year, discipline, degree and/or experience. This position is overtime eligible. Intern/Co-ops may be eligible to participate in Company employee benefit programs such as medical insurance, sick time, holiday pay, and the Company’s consolidated retirement plan in accordance with the terms of the applicable plans. Housing stipend will be offered for those that qualify. This position is ineligible for severance. For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits

Johnson & Johnson is an 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, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center ( ra-employeehealthsup@its.jnj.com ) or contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is :

22$ per hour to 51.50$ per hour

Additional Description for Pay Transparency:

The anticipated base pay for this position is between 22$ per hour and 51.50$ per hour but will be based on candidate's program year, discipline, degree and/or experience. This position is overtime eligible. Intern/Co-ops may be eligible to participate in Company employee benefit programs such as medical insurance, sick time, holiday pay, and the Company’s consolidated retirement plan in accordance with the terms of the applicable plans. Housing stipend will be offered for those that qualify. This position is ineligible for severance. For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits