Temp Associate Scientist/Scientist I - Translational Medicine

Temp Associate Scientist/Scientist I - Translational Medicine

The Opportunity:

We are seeking a motivated Temp Associate Scientist/Scientist I to join our Translational Medicine team. The selected candidate will play a vital role in supporting clinical biomarker leads in developing and implementing biomarker strategies for RAS(ON) inhibitor clinical trials. This role offers the chance to work in a collaborative and innovative environment, contributing to various ongoing clinical studies.

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  Collaborate with the Clinical Biomarker Lead, Biomarker Scientist and other Translational Medicine team members in Biomarker Operations and Clinical Bioinformatics to support the execution of biomarker strategies in early-phase RAS(ON) inhibitor clinical trials.
  
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  Conduct detailed review of clinically relevant documents for RAS(ON) inhibitor clinical trials to ensure rigorous validity of data accuracy and compliance with study protocol guidelines.
  
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  Work with Biomarker Operations and CROs to facilitate biomarker sample testing in various testing labs and provide timely updates on sample and data delivery metrics.
  
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  Maintain the inventory of biomarker samples to support study planning and biomarker data delivery for several clinical trials.
  
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  Perform quality control (QC) on study-related biomarker data and figures that lead to scientific presentations.
  
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  Perform basic analysis of biomarker data collected from clinical trials.
  

Required Skills, Experience and Education:

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  A Master or a Ph.D. degree in cancer biology, cell/ molecular biology or equivalent
  
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  Coordination skills for managing sample inventories, providing data metrics, and handling large datasets across multiple projects.
  
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  Excellent organizational abilities, meticulous attention to detail, and effective time management with the ability to adapt to changing priorities.
  
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  Excellent communication skills.
  
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  Proficient in GraphPad Prism and MS Office applications: Excel, Word, PowerPoint.
  
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  Proficient in quality control of scientific data and figures.
  
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  Thrive in detail-oriented tasks and fast-paced, team environments.
  

Preferred Skills:

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  Knowledge or experience in oncology drug development and precision medicine.
  
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  Capability to analyze literature for clinical and scientific insights, specifically focusing on identifying biomarkers for relevant targeted therapies.
  
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  Knowledge of clinically relevant biomarker approaches across a range of technology platforms (NGS, RNAseq, IHC, mIF, qPCR/ ddPCR, etc.)
  
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  Understanding of clinical trial design and biomarker integration.
  
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  Familiarity with bioinformatics tools (R or Python) and SQL database.