Full-Time

Senior Scientist – Cellular Pharmacology and Lead Discovery

Confirmed live in the last 24 hours

MSD

MSD

Compensation Overview

$125k - $196.8kAnnually

+ Bonus + Long Term Incentive

Senior

H1B Sponsorship Available

San Bruno, CA, USA

Hybrid work model requires three days in-office per week.

Category
Bioinformatics
Computational Biology
Biology Lab & Research
Biology & Biotech
Required Skills
Data Analysis
Requirements
  • Bachelor's or Master's in Pharmacology, Cell Biology, or relevant scientific discipline with a minimum of eight (8) years of drug discovery experience in a biotech/pharmaceutical setting
  • Highly skilled in the development, execution, and interpretation of mid/high-throughput cellular assays, as well as extensive experience with lead discovery and MoA support
  • Strong expertise in the development and optimization of complex oncology and immuno-oncology cellular models, such as those with primary cells, co-culture systems, and 3D spheroids/organoids
  • Demonstrated proficiency in a wide range of cell biology techniques (mammalian cell culture, transfection/transduction, CRISPR, etc.) and relevant assay detection technologies (ELISA, AlphaLISA, TR-FRET, BRET, Flow Cytometry, etc.)
  • Broad knowledge and hands-on experience with automated liquid handling instruments (Biomek, Bravo, Echo, etc.) and integrated robotic systems for assay operation
  • Experience with automated data processing, curve fitting, and visualization software tools
  • Rigorous quantitative experimentalist with excellent organization and communication skills and a strong growth mindset
  • Demonstrated ability to multi-task and work collaboratively in a cross-functional team environment to execute on project goals and advance drug discovery
Responsibilities
  • Provide cellular pharmacology and assay development expertise to support early drug discovery in oncology with specific focus on targeted therapies
  • Develop and execute complex cellular assays for screening and mechanistic characterization of diverse targets and pathways, using a wide range of experimental methodologies
  • Implement best experimental practices and leverage lab automation to improve assay operation, quality, and overall productivity
  • Identify, evaluate, and champion new enabling technologies and methods
  • Ensure high-quality data analysis and timely report generation to project teams
  • Properly document experimental designs, findings, and assay protocols, and comply with all laboratory training and safety requirements
  • Collaborate with colleagues on multi-disciplinary project teams to provide scientific/technical contributions and deliver on project goals

Company Stage

N/A

Total Funding

N/A

Headquarters

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Founded

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