Associate Bioinformatics Scientist II
Admera Health
Job Description
NGS | Multi-Omics | AI/ML | Computational Biology
\nLocation: South Plainfield, NJ
\nCompany: Admera Health
\nPosition: Bioinformatics Scientist
\nAdmera Health is hiring a Bioinformatics Scientist to join our growing Bioinformatics team in South Plainfield, NJ.
\nWe are looking for a motivated, technically skilled scientist with expertise in next-generation sequencing (NGS), multi-omics data analysis, and computational pipeline development.
\nThe ideal candidate will have strong programming and analytical skills, hands-on experience with bioinformatics workflows, and an interest in applying artificial intelligence and machine learning (AI/ML) to advance genomics research.
\nAbout Admera Health
\nAdmera Health – Entering the ADvanced Molecular ERA
\nAdmera Health is a genomic and bioinformatics research services company supporting pharmaceutical, biotechnology, academic, and clinical research clients from early discovery through translational and clinical research.
\nOur expertise spans genomics, transcriptomics, epigenomics, single-cell sequencing, spatial transcriptomics, and advanced bioinformatics.
\nWith a comprehensive portfolio of advanced sequencing platforms, including Illumina, Complete Genomics, PacBio, and Ultima Genomics , we provide integrated sequencing and bioinformatics solutions for diverse scientific and clinical research applications.
\nWe are expanding our bioinformatics capabilities, with a particular focus on AI-driven analytics, scalable computational workflows, and advanced multi-omics data integration .
\nKey Responsibilities
\nNGS & Multi-Omics Analysis
\n- \n
- Perform routine and advanced bioinformatics analyses for WGS, WES, RNA-seq, single-cell RNA-seq, spatial transcriptomics, and long-read sequencing projects. \n
- Develop customized analytical approaches to address challenging scientific questions and client-specific requirements. \n
AI/ML & Bioinformatics Innovation
\n- \n
- Research, evaluate, and implement AI/ML-based tools and analytical pipelines. \n
- Explore applications of AI/ML in genomics, quality control, workflow automation, and multi-omics data interpretation. \n
- Identify opportunities to improve analytical accuracy, efficiency, and scalability. \n
Pipeline Development & Computational Infrastructure
\n- \n
- Develop, optimize, and maintain reproducible workflows using Nextflow, Snakemake, nf-core , or similar frameworks. \n
- Deploy and support bioinformatics pipelines across local Linux systems, SLURM-based HPC clusters, and AWS cloud environments . \n
- Collaborate with IT teams to improve computing infrastructure and workflow performance. \n
- Maintain documentation, version control, and reproducibility standards. \n
Scientific & Client Collaboration
\n- \n
- Collaborate with wet-lab scientists, project managers, and clients to translate research objectives into computational solutions. \n
- Evaluate technical feasibility, define analytical requirements, and provide realistic project timelines. \n
- Interpret results, troubleshoot analytical challenges, and communicate scientific findings clearly. \n
Qualifications
\nEducation & Experience
\n- \n
- M.S. in Bioinformatics, Computational Biology, Data Science, or a closely related field. \n
- 1–2 years of relevant experience in academic research, clinical laboratories, biotechnology, or industry. \n
Required Technical Skills
\n- \n
- Strong proficiency in Python, R, Bash/Shell scripting , and Linux command-line tools. \n
- Solid understanding of genomics, molecular biology, and NGS technologies. \n
- Hands-on experience with bioinformatics analyses across multiple omics applications. \n
- Experience developing or maintaining computational pipelines using Nextflow, Snakemake, or nf-core . \n
- Experience working with Linux, HPC, or cloud computing environments. \n
- Ability to interpret complex bioinformatics results and communicate scientific insights effectively. \n
- Strong problem-solving, organizational, and communication skills. \n
Preferred Qualifications
\n- \n
- Experience applying AI/ML or deep learning methods to genomics or computational biology. \n
- Experience with single-cell and spatial transcriptomics analysis. \n
- Familiarity with long-read sequencing data analysis. \n
- Experience with Docker, Singularity/Apptainer , or other containerization tools. \n
- Familiarity with AWS and scalable cloud-based computational infrastructure. \n
Why Join Admera Health?
\nAt Admera Health, you'll have the opportunity to:
\n✅ Work with cutting-edge sequencing technologies across short-read, long-read, single-cell, and spatial genomics platforms.
\n✅ Explore AI/ML applications and help develop next-generation computational solutions for genomics research.
\n✅ Gain broad scientific exposure through diverse projects involving pharmaceutical, biotechnology, academic, and clinical research clients.
\n✅ Collaborate across disciplines with experienced wet-lab scientists, bioinformaticians, and project management teams.
\n✅ Make a meaningful impact by contributing to the development of new analytical capabilities and innovative genomic services.
\nInterested in Joining Our Team?
\nIf you are passionate about bioinformatics, genomics, and emerging AI technologies, we would love to hear from you!
\nApply to join Admera Health and help shape the future of genomics and bioinformatics.
\nFeel free to share this opportunity with your network!
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