Senior Scientist - Neuroimmunology & iPSC In Vitro

Merck & Co.; Boston (MA); On-site; USD 119,000 - 188,000; Full time

Job summary

Merck & Co. in Boston, MA is seeking a Senior Scientist to lead in vitro disease modeling for CNS targets. You will design and execute cell-based assays, develop IPSC-derived models, and generate datasets to advance therapeutic programs.

Independent but collaborative, you will interpret multidimensional data, publish findings, and support translational research across disciplines, with 90% lab time.

Qualifications

• Ph.D. required with post-doctoral or industry experience.
• Thrive independently and in a team.
• Experience with CNS iPSC culture and complex in vitro tri-culture models.
• Immunocytochemistry and molecular biology workflows.
• Strong data analysis skills; willingness to apply AI tools.

Responsibilities

• Develop and troubleshoot new cell-based assays and analysis methods.
• Lead complex experimental programs and interpret multidimensional datasets.
• Isolate/characterize tissues, PBMCs and iPSC-derived cells using molecular techniques.
• Provide scientific oversight of external research activities and collaborations.
• Communicate data clearly to teams and stakeholders.
• Integrate literature and advances to shape internal strategy.
• Contribute to model development and publication of findings.

Skills

IPSC models

CNS iPSC culture

Microglia culture

Translational in vitro studies

Data analysis & AI tools

Molecular biology techniques

Immunocytochemistry

Communication & publication

Education

Ph.D. in Molecular Cell Biology, Neuroscience, Pharmacology or related field

Tools

NanoString

RNA-seq

PCR

Western blot

ELISA

Job description

Merck & Co. in Boston, MA is seeking a Senior Scientist to lead in vitro disease modeling for CNS targets. You will design and execute cell-based assays, develop IPSC-derived models, and generate datasets to advance therapeutic programs.

Independent but collaborative, you will interpret multidimensional data, publish findings, and support translational research across disciplines, with 90% lab time.