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 are two positions in the Precision Genetics group. Candidates can apply for the opportunity to be involved in a computational 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.
Want more jobs like this?
Get Human Resources and Recruitment jobs that are Remote delivered to your inbox every week.
Precision Genetics (2 positions, preferred in person Cambridge MA, will consider remote):
- Build and maintain large-scale genetics and genomics datasets (e.g., GWAS, cell-type QTL, epigenetics, and Hi-C data) to be incorporated into various pipelines.
- Implementation of latest published statistical and computational methods to improve statistical power and computational efficiency in statistical genetics analyses.
- Assist with development of a scalable causal gene identification pipeline designed to generate high-confidence gene lists for target identification and prioritization by integrating multiple existing computational pipelines and data types.
Required Education and Skills:
- Candidates must be currently enrolled in a minimum of a Bachelor's degree program in Biological Sciences 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 2024.
Preferred Skills and Experience:
- Candidates must have excellent academic achievement and analytical ability.
- Candidates must have demonstrated superior communication and interpersonal skills and must be able to work well in a collaborative team environment.
- Candidates may have interests/experience in ANY of the fields of molecular biology, immunology, oncology, cell biology, neuroscience, or bioinformatics.
- For this computational project, specific skill sets could include one or more of the following: experience with R or Python programming languages, analysis of bulk or single cell datasets.
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:
Hybrid
Shift:
Valid Driving License:
Hazardous Material(s):
Job Posting End Date:
12/13/2024
*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:R311679