2027 Future Talent Program - Discovery Neuroscience - Co-op
About The Position
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.
Requirements
- Candidates must be currently enrolled in a BS/BA/PhD program in biology, biochemistry, chemistry, analytical chemistry, bioengineering, neuroscience, pharmacology, computational biology, or a related scientific discipline.
- 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.
Nice To Haves
- 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 KingFisher.
- Interest in CNS drug discovery, biomarkers, target engagement, or pharmacokinetic/pharmacodynamic relationships.
- Excellent oral and written communication skills and strong attention to detail.
Responsibilities
- 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 KingFisher 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.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
