Job Description Design and optimize NGS workflows including library preparation, sample QC, and sequencing runs. Operate and maintain NGS platforms (e.g., Illumina, Ion Torrent, PacBio). Perform bioinformatics analysis of sequencing data using tools such as Python, R, and commercial pipelines. Collaborate with cross-functional teams in clinical research, bioinformatics, and product development. Develop and document standard operating procedures (SOPs) for sequencing and data analysis. Interpret results and present findings to internal stakeholders and external partners. Stay current with advances in NGS technologies and applications. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Education: BS/MS/PhD in Molecular Biology, Genetics, Bioinformatics, or related field. Experience: 2–5+ years of hands-on experience in NGS workflows and data analysis. Proficiency in molecular biology techniques (e.g., DNA/RNA extraction, PCR, qPCR). Familiarity with bioinformatics tools and statistical analysis platforms. Strong organizational and communication skills. Experience in a CLIA/CAP-certified lab or regulated environment is a plus. Experience with 10X Genomics, spatial transcriptomics, or single-cell sequencing. Knowledge of clinical trial assay workflows and biomarker development. Certifications in AWS Machine Learning, SAS, or Python are advantageous.