Job Description
The Data Science and Scientific Informatics Team at Research and Development Sciences IT of our company is excited to offer a summer internship opportunity. The successful candidate will engage in the exploration and analysis of complex datasets, utilizing data science methods and analytics techniques to derive insights that support our drug development processes. This role will involve the application of data cleaning, data visualization, machine learning, and analytical methodologies to enhance decision-making in the therapeutic area.
Responsibilities:
Work collaboratively with data science and analytics teams to analyze and interpret large datasets and contribute to ongoing projects.
Assist in the development and implementation of analytical methodologies for data-driven decision-making in drug development.
Apply machine learning, statistical analysis, and data visualization techniques to extract actionable insights from complex biological datasets.
Participate in the design, execution, and documentation of experiments and analyses to evaluate data and generate reports.
Prepare and present findings to the team, contributing to the development of solutions that improve operational efficiency and enhance research outcomes.
Eligibility:
Candidates must be currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Computational Science, or other analytical disciplines. The ideal candidate should be available for a full-time internship (10-12 weeks) during the summer of 2025 and should plan to return to school in the fall after completing the internship.
Required Experience and Skills:
Strong foundational knowledge of statistical analysis, machine learning, data mining, and data visualization techniques.
Experience with programming languages such as Python, R, etc., in data analysis and manipulation.
Familiarity with database management and SQL.
Excellent analytical skills with a keen interest in data-driven research.
Strong organizational skills with the ability to prioritize tasks and meet deadlines.
Effective verbal and written communication skills to present complex information concisely.
Preferred Experience and Skills (not all required):
Experience with data visualization tools such as Power BI or Streamlit.
Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud computing environments.
Experience with biological data analysis and familiarity with concepts in bioinformatics and genomics.
Participation in academic or personal projects that showcase the application of data science techniques in real-world scenarios.
FTP2025
GSF2025
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U.S. Hybrid Work Model
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only: 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
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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:
No relocation
VISA Sponsorship:
No
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
02/14/2025
*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.
