Grad Intern - Computational Chemistry (summer 2027)
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- Stated location
- United States
- Listing updated on our site
- 13 Nov 2026, 23:01 EAT
- Mentions "eat"
- Timezone range utc-10 to utc+14 overlaps EAT (UTC+3)
- Location names another country; Kenya eligibility is not established.
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| Employer | Verified Direct Employer (Protected) |
|---|---|
| Location | United States |
| Remote type | Intern |
| Salary | USD35.34 - USD41.2 (hourly) |
| Posted | 3h ago |
| Application Status | Pro Membership & Free Pass Access |
About this role (Direct Employer Details Protected)
Career Category
Job Description
Join [Employer]’s Mission of Serving Patients
At [Employer], if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. [Employer] is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity-related conditions. As a member of the [Employer] team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the [Employer] team. Join us and transform the lives of patients while transforming your career.
Grad Intern – Computational Chemistry (Summer 2027)
What You Will Do
Let’s do this. Let’s change the world. We are looking for a summer intern to join the Computational Chemistry team in the summer of 2027. Computational chemistry plays a crucial role in our drug discovery engine, speeding up our pipeline from target inception to drug development. During this program, you will develop and evaluate molecular property prediction models on predictive performance and interpretability that will help guide the successful discovery of small molecule therapeutics.
- Develop and evaluate machine learning models for molecular property prediction, assess predictive performance using appropriate metrics, and explore approaches to making these models accessible through conversational AI agents
- Apply model interpretability methods to investigate how molecular features influence predictions and explore structure–property relationships
- Work collaboratively with interdisciplinary teams to ensure the successful execution and implementation of the project
- Review and summarize project-related literature
- Communicate findings and progress effectively to team members
- Clearly document methods and analyses to allow reproducible research
Program Eligibility Requirements
- Must be available to work a full-time schedule.
- Expected continued enrollment in an accredited college or university following the internship program / co-op
- Student must be located in the United States for the duration of the internship program
What We Expect of You
We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a leader with these qualifications.
Basic Qualifications:
[Employer] requires that all individuals applying for a grad internship or a co-op assignment at [Employer] must meet the following criteria:
- 18 years or older
- Graduated with a bachelor’s degree from an accredited college or university
- Currently enrolled in an MBA program for an MBA internship OR a Master’s program for a Master’s internship OR a PharmD program for a PharmD internship OR Ph.D. for a PhD internship from an accredited college or university and completion of the first year of MBA OR Master’s OR Pharm D OR Ph.D. program before the internship starts
Preferred Qualifications:
- Degree in Computational Chemistry, Cheminformatics, Computational Biophysics, Data Science or a similarly quantitative field
- Familiarity with machine learning models for molecular property prediction, including model development and evaluation of predictive performance
- Experience with molecular data processing and analysis using cheminformatics tools such as RDKit, and familiarity with model interpretability methods for exploring structure-property relationships
- Demonstrated programming and data analysis experience in Python, with familiarity with Unix-based systems and version control software (Git)
- Highly motivated; enthusiastic about science and problem solving
- Track record of research contributions through peer-reviewed publications or presentations at scientific conferences
What You Can Expect of Us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
The base pay range for this opportunity in the U.S. is $35.34 - $41.20 per hour.
- Build a network of colleagues that will endure and grow throughout your time with us and beyond.
- Bring your authentic self to the table and become the professional you’re inspired to be through accepting a culture that values the diversity of thought and experience and will flex to your strengths and possibilities.
- Participate in executive and social networking events, as well as community volunteer projects.
Apply now and make a lasting impact with the [Employer] team.
careers.[Employer].com - Please search for Keyword R-261449
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Application deadline
[Employer] does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.
Sponsorship
Candidates must be authorized to work in the U.S. for the duration of this program. Sponsorship for future FTE roles is not guaranteed.
As an organization dedicated to improving the quality of life for people around the world, [Employer] fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the [Employer] values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
[Employer] is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Salary Range
Originally posted on [Employer]
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