Live opening · Posted 5 days ago

Computational Science Intern

Hydronexa Solutions · Massachusetts, United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyHydronexa Solutions
LocationMassachusetts, United States (Remote)
Work modeYes
SourceLinkedin
ListedPosted 5 days ago

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About the role

Description supplied by the original job listing.

Position Summary:
The role focuses on data science.
Position Responsibilities:
Data Science: Transform vast amounts of scientific data into insights that accelerate drug discovery and improve patient outcomes using AI and machine learning
Digital R&D: Lead the digital transformation of pharmaceutical research, implementing technologies that make drug discovery faster, smarter, and more successful
Qualifications:
Master's in: Computer Science, Data Science, Bioinformatics, Computational Biology, Software Engineering, Biomedical Engineering, Statistics, Mathematics, or related technical and engineering fields, or PhD in: Biochemistry, Chemistry, Bioengineering, Chemical Engineering, Biotechnology, Physics, or related chemistry, biochemistry, and engineering fields.
Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
Must be enrolled in an accredited college or university throughout the duration of the co-op/internship.
Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship
Position Highlights:
This co-op opportunity will have a 6 month duration starting January 2027.
Compensation:
The compensation for this role is $35.00–$60.00 per hour.
Important: The successful application submission for the above role(s) will be conditional to your profile evaluation by our Recruitment Specialists using the AI system. We can let you know better once you submit your resume.

Work arrangement
Yes

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