Job Description
The Future Talent Program features Cooperative (Co-op) education that lasts up to 6 months 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.
The Future Talent Program within the Research and Development Division Data, AI, and Genome Sciences (DAGS) Department is offering co-op opportunities that last a period of six months. There is 1 position in the AIML group. Candidates can apply for the opportunity to be involved in a project designed to enable students to further develop their skills and to evaluate if we are the right company for their long-term goals. We are seeking highly motivated and talented students with computational skills and experience.
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AI/ML (1 position, Cambridge, MA, in person preferred)
Some potential projects could include:
- Implement latest published methods and/or develop new methods for fine-tuning foundation models.
- Implement or develop new methods for probing trained (pre-trained or fine-tuned) foundation models for learned biology.
- Develop methods and techniques to enable harmonization of metadata.
- Develop / Implement active learning techniques to learn predictive models in small labeled data regimes.
Required Education and Skills:
- Candidates must be currently enrolled in a minimum of a Bachelor's degree program in Computer sciences, Statistics, Bio-statistics or a related field of study. Students enrolled in graduate programs (MS or PhD) are highly encouraged to apply.
- Candidates must be available to work full-time for 6 months in 2025.
Preferred Skills and Experience:
- Candidates must have experience with Python or R programming languages, experience with analysis of single-cell RNA-seq datasets will be beneficial.
- Candidates must have demonstrated communication and interpersonal skills and must be able to work well in a collaborative team environment.
- Candidates must have excellent academic achievement and analytical ability.
- Candidates must have experience with modern deep learning tooling including PyTorch and / or JAX.
- Experience with GPUs is strongly preferred.
- Experience with cloud computing, AWS, and command line terminal.
Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate's relevant skills, experience, and education.
Expected salary range:
$39,600.00-$105,500.00
FTP2025
MRL2025
Current Employees apply HERE
Current Contingent Workers apply HERE
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Intern/Co-op (Fixed Term)
Relocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
Not Applicable
Shift:
Valid Driving License:
Hazardous Material(s):
Job Posting End Date:
12/6/2024
*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Requisition ID:R311675