Senior Scientist – Oncology Drug Discovery

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

Job summary

Merck is seeking a Senior Scientist in Discovery Oncology in Boston to lead and support cancer drug discovery projects. The candidate will develop assays, design experiments, and generate high-quality data to advance multiple programs within a multidisciplinary team.

The role requires strong wet-lab skills in molecular/cellular biology, flow cytometry, biomarker analysis, and data interpretation. Collaboration with in vivo pharmacology and cross-functional teams is essential.

Qualifications

• PhD with 0–2 years postdoc or industry experience in cancer biology/related field.
• MS with 4+ years industry experience.
• BS with 7+ years industry experience.
• Experience advancing oncology drug discovery with data-driven decisions.
• Hands-on wet lab in molecular/cellular biology.
• Experience with multi-color flow cytometry and cell models.
• Protein/biomarker analysis including ELISA/JESS.
• Collaboration with in vivo pharmacology teams.

Responsibilities

• Develop and optimize assays for oncology projects.
• Design and execute well-controlled experiments and analyze data.
• Interpret results and troubleshoot technical issues.
• Present progress at team and department meetings.
• Manage multiple projects and communicate actionable insights.

Skills

Flow Cytometry

Molecular Biology

Cell Culture

Data Analysis

Statistical Software

Experiment Design

Presentation Skills

Problem Solving

CRISPR

CRISPR/Cas9

Education

Ph.D. in Cancer Biology or related

M.S. in related field

B.S. in related field

Tools

Incucyte

Western Blot

ELISA

JESS

FlowJo

GraphPad Prism

MSD

CRISPR

Job description

Merck is seeking a Senior Scientist in Discovery Oncology in Boston to lead and support cancer drug discovery projects. The candidate will develop assays, design experiments, and generate high-quality data to advance multiple programs within a multidisciplinary team.

The role requires strong wet-lab skills in molecular/cellular biology, flow cytometry, biomarker analysis, and data interpretation. Collaboration with in vivo pharmacology and cross-functional teams is essential.