Massachusetts Veterans Jobs

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.

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 (https://wd5.myworkday.com/msd/d/task/1422$6687.htmld)

Current Contingent Workers apply HERE (https://wd5.myworkday.com/msd/d/task/1422$4020.htmld)

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:

10/28/2024

*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.

Job Posting End Date: 10/28/2024

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