Scientist
Aequor Information Technologies Pvt. Ltd.
The manager is seeking a hands-on Automation Scientist/Bench Scientist who can immediately contribute to a busy wet lab environment supporting molecular biology and automation workflows. This is not a bioinformatics-focused position. While some software and data-related skills are beneficial, the primary need is someone with strong laboratory automation and molecular biology experience.
The team is currently supporting increasing sample volume and needs an experienced scientist who can help implement, run, and improve automated laboratory processes.
Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.
Must-Have Qualifications
• Automated liquid handling platforms
• High-throughput sample processing
• Method implementation and workflow optimization
• Laboratory automation troubleshooting
Hamilton experience is highly preferred
Molecular Biology Experience
• DNA extraction
• RNA extraction
• RT-PCR
• Molecular biology sample preparation
• Sample QC/quality control
• Next Generation Sequencing (NGS) sample preparation
• Genomic and transcriptomic characterization workflows
Wet Lab Experience
• Processing large volumes of samples
• Following laboratory SOPs
• Working in a BSL-2 environment
Preferred Background
• DNA/RNA extraction workflows
• RT-PCR
• Genomics
• Hamilton liquid handling systems
• Automated assay development
• High-throughput screening
• Cell culture experience is a plus
• Experience working with CHO cells is especially desirable
• Recombinant protein expression knowledge is beneficial
Focus is on candidates with strong molecular biology foundations and hands-on liquid handling automation experience, ideally Hamilton. xhyhwjd The manager needs someone who can help build, implement, and operate high-throughput workflows in a fast-paced wet lab environment.
Red Flags
• No automation experience
• Limited molecular biology background
• Primarily computational or bioinformatics-focused experience
• Pure software/data science background
• Gene-editing research focus without relevant automation workflow experience
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