Talent Program - Discovery Neuroscience - Co-op
Job in
Northern, Floyd County, Kentucky, USA
Listed on 2026-10-01
Listing for:
MSD Malaysia
Full Time, Apprenticeship/Internship
position Listed on 2026-10-01
Job specializations:
-
Research/Development
Research Scientist, Biotech Research, Research Assistant/Associate
Job Description & How to Apply Below
Location: Northern
## 2027 Future Talent Program
- Discovery Neuroscience
- Co-op Apply:
Not Applicable:
USA
- Pennsylvania
- West Point:
Full time:
Posted Today:
End Date:
October 30, 2026 (30+ days left to apply):
R418834
** Job Description
** The Future Talent Program features co-ops that last 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.
Our company’s Neuroscience team is seeking a motivated and technically skilled co-op student majoring in the biological sciences, biochemistry, analytical chemistry, bioengineering, neuroscience, or related discipline. The student will support mass spectrometry-based proteomics studies, including biological sample preparation, data-independent acquisition (DIA) data analysis, quality assessment, and communication of results. Basic proteomics and data-analysis experience is preferred. A neuroscience background is valuable but not required.
The candidate will work independently with close supervision and collaborate with colleagues supporting CNS drug discovery.
** The responsibilities of the Early Discovery Neuroscience team member include but are not limited to the following:
*** Support sample preparation for discovery and targeted proteomics studies using biological samples relevant to neuroscience research.
* Assist with the execution, analysis, and troubleshooting of LC-MS-based proteomics workflows, with emphasis on DIA experiments.
* Analyze and quality-check proteomics data using Skyline, EncyclopeDIA, Spectronaut, and/or comparable software.
* Contribute to optimization and automation of proteomics sample-preparation workflows, including AssayMAP and/or King Fisher platforms when applicable.
* Organize, interpret, graph, and communicate data clearly and concisely to teams and stakeholders
* Monitor and critically interpret published work to guide research and collaborate with members of other functional areas.
** Education Minimum Requirement:
*** Candidates must be currently enrolled in a BS/BA or graduate degree program in biology, biochemistry, chemistry, analytical chemistry, bioengineering, neuroscience, pharmacology, computational biology, or a related scientific discipline.
** Required
Experience and Skills:
*** Candidates must have completed at least 2 years toward their degree program by the co-op start date.
* Candidates must be available to work full-time for 6 months beginning in early to mid-2027.
* Hands-on experience with basic biology or chemistry laboratory procedures, including accurate pipetting, solution preparation, sample tracking, and documentation.
* Foundational knowledge of proteins, peptides, enzymatic digestion, chromatography, mass spectrometry, or quantitative bioanalysis.
* Basic familiarity with DIA proteomics and experience analyzing data in at least one relevant software environment, such as Skyline, EncyclopeDIA, Spectronaut, or an equivalent platform.
* Demonstrated ability to perform accurate data analysis, graph results, and prepare clear scientific presentations or reports.
* Ability to work independently with supervision, learn new workflows, and collaborate in a multidisciplinary team environment.
** Preferred
Experience and Skills:
*** Coursework or research experience in proteomics, analytical chemistry, biochemistry, mass spectrometry, bioinformatics, and/or neuroscience.
* Experience with LC-MS/MS sample preparation or DIA analysis using Skyline, EncyclopeDIA, Spectronaut, R, Python, or related tools.
* Experience with automated sample-preparation platforms, especially AssayMAP and/or King Fisher.
* Interest in CNS drug discovery, biomarkers, target engagement, or…
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