Research Senior Associate - Radiation Oncology

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Job Title:

Research Senior Associate - Radiation Oncology

Department:

Medicine | Radiation Oncology

We are seeking a highly motivated and detail-oriented researcher to join our laboratory, which focuses on the mechanisms of DNA repair and cancer therapy resistance. The successful candidate will contribute to ongoing projects that investigate DNA replication fork stalling, DNA repair pathways, and mechanisms of resistance to cancer therapies, integrating both experimental and computational approaches.

Responsibilities:

• Conduct molecular and cellular biology experiments, including cell culture, gene editing, protein/DNA analysis, and functional assays related to DNA replication and repair.
• Perform bioinformatics analyses of genomic, transcriptomic, and proteomic datasets to support experimental findings and generate new hypotheses.
• Collaborate with team members to design, execute, and troubleshoot experiments.
• Maintain accurate records of research activities and prepare data for presentations, reports, and publications.
• Assist in training and mentoring junior lab members as needed.
• Ensure compliance with laboratory safety protocols and institutional regulations.
   

Qualifications:

• Master’s degree in molecular biology, cell biology, bioinformatics, biochemistry, or a related field; PhD degree preferred.
• 3 years of relevant experience required with Bachelor's Degree, or 1 year of relevant experience required with Master's Degree.
• Hands-on experience in molecular and cellular biology techniques (e.g., CRISPR/Cas9, Western blotting, immunofluorescence, DNA repair assays).
• Strong background or demonstrated skills in bioinformatics analysis of large datasets.
• Familiarity with DNA repair and replication biology is highly desirable.
• Excellent organizational, communication, and teamwork skills.
• Ability to work independently and manage multiple projects simultaneously.

Preferred Qualifications:

• Experience with cancer biology or therapeutic resistance models.
• Proficiency in programming languages commonly used for bioinformatics (e.g., R, Python).
• Prior publication or contributions to scientific research projects.

Function: Research and Scholarship

Sub Function: Research

Career Band: Individual Contributor - Specialized

Career Level: S2

Additional Information:

Location:

Tzagournis Medical Research Facility (0163)

Position Type:

Regular

Scheduled Hours:

40

Shift:

First Shift

Final candidates are subject to successful completion of a background check.  A drug screen or physical may be required during the post offer process.

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