2027 Future Talent Program - Discovery Bio-Analytics - Intern
Merck
Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.
Job summary
Merck is offering a Future Talent Program internship in our Discovery Bioanalytics group within DMPK. You will contribute to data analytics, predictive modeling, and ML-driven decision making on non-laboratory projects supporting early drug discovery.
You will collaborate with discovery scientists to shape tools and accelerate timelines. The internship emphasizes hands-on data science within a real pharmaceutical workflow, with opportunities to learn analytical chemistry foundations and method
Qualifications
- Currently pursuing a Bachelor's degree in data science, CS, chemistry, biology or related field.
- Interest in applied AI/ML, predictive modeling, or data-driven decision making.
- Familiarity with Python or R and Excel.
- Strong verbal and written communication skills.
- Ability to work independently and in fast-paced teams.
Responsibilities
- Source historical compound and analytical method data related to chemical properties and LC.
- Develop a predictive ML model to serve as a recommendation framework.
- Collaborate with bioanalytical scientists to evaluate and validate model accuracy.
- Explore expanding the model to additional method development parameters.
Skills
Education
Tools
Job description
The Future Talent Program features internships that last up to 12 weeks and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals.
Our Discovery Bioanalytics group within Drug Metabolism and Pharmacokinetics (DMPK) supports early-stage screening, characterization, and lead optimization of therapeutic drug candidates. The successful intern candidate will contribute to innovative, non-laboratory projects that advance our analytical capabilities through data analytics, machine learning, and predictive modeling. This internship provides a unique opportunity to work alongside leading discovery scientists, gain hands‑on experience applying data science within a real‑world pharmaceutical workflow, and help shape tools that directly accelerate drug discovery timelines.
The intern will support efforts to improve efficiency, speed, and data‑driven decision‑making within discovery bioanalytical workflows. Activities may include analyzing historical compound and chromatographic datasets, developing predictive machine learning models, and building a recommendation framework to streamline analytical method setup.
- Source historical compound and analytical method data related to chemical properties and liquid chromatography
- Develop a predictive machine learning model to serve as a recommendation framework
- Collaborate with bioanalytical scientists to evaluate and validate the predictive accuracy of the model
- Explore opportunities to expand the scope of the model to address additional method development parameters, helping to further streamline workflows
- Currently pursuing a Bachelor's degree in:
- Data Science
- Computer Science
- Chemical, Biological, Biomedical, or Computational Engineering
- Chemistry
- Biology
- Pharmacology
- Related scientific discipline
- Basic data analysis ability and problem‑solving skills
- Interest in applied AI/ML, predictive modeling, or data‑driven decision making
- Familiarity with programming tools such as Excel, Python, or R
- Strong verbal and written communication skills
- Ability to work both independently and within collaborative, fast‑paced environments
- Basic understanding of liquid chromatography principles and analytical methods
- Prior exposure to basic machine learning workflows, data visualization tools, and statistical analysis
- Completed coursework in bioanalytics, data science, statistics, computer science, or related fields
- Strong curiosity for translating data science tools into practical workflows
- Interest in early/discovery drug development
- Discovery bioanalytical workflows supporting drug development
- Applied machine learning and data science workflows in early‑stage pharmaceutical discovery
- Foundational concepts of analytical chemistry and method development
- Data science applications in bioanalytics
- Cross‑functional collaboration within a pharmaceutical research organization
- Scientific communication and presentation skills
- Analytical dataset and model documentation
- Prototype of a predictive modeling tool
- Final intern presentation summarizing project objectives, methods, results, and impact
Please note that this position may be closed before the posted end date or may remain open longer, at the discretion of the company.
The salary range for this role is $39,108 through $111,111.
FTP2027
RL2027
Analytical Chemistry, Bioinformatics, Biological Data Analysis, Biological Engineering, Biology, Chemical Characterization, Chemistry, Clinical Research, Computational Chemistry, Computational Sciences, Data Analysis, Data Analysis Tools, Data Science, Data Security, Drug Discovery Research, High-Performance Liquid Chromatography (HPLC), Liquid Chromatography (LC), Liquid Chromatography-Mass Spectrometry (LC-MS), Pharmaceutical Research, Project Management, Python (Programming Language), Scientific Literacy, Scientific Research, Scientific Writing
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities.
As An Equal Employment Opportunity Employer, We Provide Equal Opportunities To All Employees And Applicants For Employment And Prohibit Discrimination On The Basis Of Race, Color, Age, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Protected Veteran Status, Disability Status, Or Other Applicable Legally Protected Characteristics. As a Federal Contractor, We Comply With All Aff
For More Information About Personal Rights Under The U.S. Equal Opportunity Employment Laws, Visit:
EEOC Know Your Rights
EEOC GINA Supplement
We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.
Learn more about your rights, including under California, Colorado and other US State Acts
We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance
Intern/Co-op (Fixed Term)
No relocation
No
No Travel Required
Not Applicable
1st - Day
No
N/A
- A job posting is effective until 11:59:59PM on the
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
