Research Associate I

The Research Associate I supports cross-functional molecular diagnostics research projects through the execution of laboratory experiments generation of high-quality data and maintenance of laboratory operations. Working closely with Assay Development and Bioinformatics teams this individual performs molecular biology workflows supports high-throughput screening activities organizes experimental data and contributes to data-driven assay development efforts.

The position serves as a bridge between laboratory experimentation and computational analysis ensuring the generation and organization of high-quality data to support assay design and optimization activities. This position is ideal for an early-career scientist interested in molecular diagnostics assay development laboratory automation and data-centric research.

• Perform molecular biology and assay development experiments following established protocols and study plans.
• Prepare reagents controls oligonucleotides standards and biological samples for assay development activities.
• Execute PCR qPCR RT-PCR and other nucleic acid-based workflows using laboratory instrumentation and automated systems.
• Support high-throughput screening studies through plate preparation sample processing and operation of laboratory automation platforms.
• Collect organize document and summarize experimental data in laboratory notebooks and electronic data management systems.
• Assist with data compilation quality checks and preparation of datasets and associated metadata for downstream analysis.
• Communicate experimental results observations and technical issues to project team members and supervisors.
• Operate maintain and troubleshoot laboratory equipment and instrumentation as needed.
• Manage laboratory inventory and support routine laboratory operations.
• Follow established SOPs laboratory safety requirements and quality standards.
• Collaborate effectively with scientists and bioinformaticians to support project goals and timelines.

• B.S. or B.A. in Molecular Biology Biology Biochemistry Biotechnology Chemistry Genetics or a related life science discipline.
• 0-2 years of laboratory experience in academic research biotechnology diagnostics or related fields.
• Basic understanding of molecular biology techniques including PCR and qPCR.
• Proficiency with Microsoft Office applications particularly Excel Word and PPT.
• Strong organizational skills and attention to detail.

• Experience with molecular diagnostic assays.
• Experience with automated liquid handling systems or other laboratory automation platforms.
• Familiarity with high-throughput screening workflows.
• Exposure to biological data analysis data visualization or bioinformatics concepts.
• Experience working in a regulated laboratory environment.

• Job Title: Research Associate I
• Department: Assay Development & Bioinformatics
• Number of Openings: 2
• Location: 10210 Genetic Center Dr. San Diego CA 92121
• Work Model: Onsite
• Duration: 6 Months
• Extension Possible: Yes
• Conversion Possible: Yes
• Target Start Date: ASAP

• Support AI/ML-assisted oligonucleotide design initiative.
• Generate high-quality experimental data to support molecular assay development.
• Partner closely with Assay Development and Bioinformatics teams.

1. Molecular biology techniques (PCR qPCR ddPCR nucleic acid extraction)
2. Experimental troubleshooting and data interpretation
3. Collaboration within cross-functional scientific teams

• BS/BA in Molecular Biology Biotechnology Biochemistry Genetics or related life science field
• Hands-on PCR/qPCR experience
• Molecular biology laboratory experience
• Experience analyzing and interpreting experimental data
• Strong documentation and organizational skills
• Statistical analysis using JMP or similar software

• Molecular diagnostics experience
• Laboratory automation/liquid handling systems
• High-throughput screening experience
• Python R JMP or bioinformatics exposure
• Oligonucleotide design experience

• No qPCR experience
• No molecular biology lab experience
• Cannot explain troubleshooting examples
• No data analysis/interpretation experience

• Small collaborative team (5-6 scientists and research associates)
• Reports to Kati Hokynar
• Works closely with Meghan Altman and Bioinformatics team members