div class="posting-requirements plain-list">PhD in Bioinformatics, Computational Biology, or related quantitative field (or MS with 5+ years relevant industry experience);
Demonstrated track record applying computational TF ranking and GRN inference to cellular reprogramming problems, transdifferentiation, directed differentiation, or iPSC systems;
Multi-platform single-cell RNA-seq expertise: hands-on analysis from at least two different platforms, including platform-specific troubleshooting and quality control;
Multi-modal genomics proficiency: ChIP-seq, CUT&RUN, or ATAC-seq analysis including peak calling, differential accessibility, and TF motif enrichment;
Hands-on experience with established GRN inference methods to nominate or rank regulators of cell state, beyond literature-curated lists;
Experience analyzing pooled perturbation screens (CRISPRa, CRISPR knockout, or barcoded TF overexpression) with single-cell or bulk readouts;
Working knowledge of trajectory inference and pseudotime methods for mapping cell state transitions;
Strong programming skills in Python and R, with proficiency in Scanpy/Seurat and statistical analysis for high-dimensional data;
Comfortable working in a modern computational environment: cloud platforms, workflow managers, containerization, and collaborative version control;
Strong publication record and demonstrated cross-functional collaboration with experimental biologists.
Lead end-to-end TF discovery for cellular reprogramming - from multi-platform single-cell genomics analysis (scRNA-seq, ATAC-seq) through GRN inference, differential analysis, and trajectory mapping - to nominate the regulators that flip cell fate.
Pleasanton, CA30+ days ago
Contribute bioinformatics expertise throughout the assay development lifecycle, including initial sequencing, validation, and production implementation, by developing and maintaining analytical tools and pipelines for processing diagnostic data from tumor, germline, and cell-free DNA samples. Collaborate with multidisciplinary teams of molecular and computational biologists, as well as wet lab scientists, to design, optimize, and troubleshoot advanced high-throughput sequencing assays and workflows for clinical diagnostic applications.
p>CONTINUOUSLY: Audible speech, Color vision, Computer skills, Decision Making, Depth perception, Flexing/extending of neck, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Repetitive hand/arm use, Seeing - Far/near. Physical Requirements:
OCCASIONALLY: Bend/twist, Climb stairs/ladder, Lifting / Carrying: 0-10 lbs, Lifting / Carrying: 11-20 lbs, Pushing / Pulling: 0-25 lbs, Reaching above shoulder, Squat/kneel.
San Carlos, CA30 days ago
p>Essential Functions of the job: Serve as the lead bioinformatics scientist of the internal drug discovery and development programs, providing comprehensive support for new target exploration and validation, Omics-related experiment design and analysis, clinical biomarker testing platform and vendor selection, and clinical biomarker analysis with interpretation.
Extensive experience in analyzing high-throughput biomedical data (e.g., RNASeq, scRNAseq, WES, spatial gene expression profiling, or human genetics): including data cleaning, functional annotation, normalization, interpretation, and visualization.
p>Summary: The Bioinformatics Senior Scientist will work with a world-class, dynamic team of bioinformatics scientists, software engineers, and laboratory scientists, developing, testing, and applying cutting-edge cell-free and solid tumor cancer genomics products. It leverages whole-genome sequencing of a patient's tumor and matched normal samples to create personalized panel of up to 1,800 somatic variants, enabling the detection of circulating tumor DNA (ctDNA) at very low levels (down to ~1-3 PPM) in blood samples.
This role will involve building robust pipelines, developing novel algorithms, collaborating cross-functionally with molecular biology, software engineering, and product teams, and driving insights from complex genomic datasets, with a focus on growing Oncology Applications. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders.
Search firms or agencies without an applicable contract and/or express approval to recruit for the role in question - that choose to submit a resume or client information to our career page or to any employee of Fulgent - will not be eligible for payment of any fee(s), and any associated shared data will become the property of Fulgent. As a Bioinformatics Scientist, you will collaborate in cross-functional teams to design, implement, and continually improve advanced computational pipelines for high-throughput analysis of multiple types of NGS data.
South San Francisco, CA30+ days ago
It has raised $57 million led by Alpha Wave Ventures, and joined by other leading life sciences investors ARCH Venture Partners, Future Ventures, GV, Khosla Ventures and YK Bioventures. Moonwalk’s discovery platform has resulted in novel adipose targets from deep genetic and epigenetic associations, advanced AI prediction tools, and profiling of primary human samples.
Cambridge, MA30+ days ago
Combining more than 25 years of peptide R&D expertise with a proprietary data platform that leverages advanced data-driven and AI/ML approaches, Zealand Pharma aims to lead a new era in obesity and metabolic health. Does it excite you to turn multi-omics data into actionable biological insights that move discovery programs toward the clinic, and do you have experience building robust bioinformatics analyses and pipelines?
South San Francisco, CA30+ days ago
This position requires a unique blend of expertise in bioinformatics, extensive experience in assay optimization, analytical validation, strong skills in analytical pipeline development, automation and optimization, a deep understanding of molecular biology, and a passion for transforming complex biological data into actionable insights. • Apply leading edge knowledge in bioinformatics, genomics, and assay technologies, to contribute to development of companys concepts and principles and to achieve assay development objectives in creative and effective ways.
Cambridge, Massachusetts30+ days ago
Combining more than 25 years of peptide R&D expertise with a proprietary data platform that leverages advanced data-driven and AI/ML approaches, Zealand Pharma aims to lead a new era in obesity and metabolic health. Does it excite you to turn multi-omics data into actionable biological insights that move discovery programs toward the clinic, and do you have experience building robust bioinformatics analyses and pipelines?
South San Francisco, CA30+ days ago
p>If you believe you have been a victim of a phishing scam, please visit the Cybersecurity & Infrastructure Security Agency (CISA) at https://www.cisa.gov/be-cyber-smart/report-incident to learn how to report it. In this role, you will collaborate with a small team of experimental and computational R&D scientists and play a key part in expanding our pipeline capabilities towards biomarker discovery, characterization of leading cell therapy product candidates, as well as fuel novel product development.
Cambridge, Massachusetts30+ days ago
Combining more than 25 years of peptide R&D expertise with a proprietary data platform that leverages advanced data-driven and AI/ML approaches, Zealand Pharma aims to lead a new era in obesity and metabolic health. Does it excite you to turn multi-omics data into actionable biological insights that move discovery programs toward the clinic, and do you have experience building robust bioinformatics analyses and pipelines?
Required Experience and Skills: PhD (or equivalent) in statistical genetics, genetic epidemiology, population genetics, computational biology, bioinformatics, biostatistics, epidemiology, or a related quantitative discipline, with a minimum of 5 year of postdoctoral or equivalent research experience in complex disease genetics. The CDG group leverages large-scale data resources, such as FinnGen, the Alliance for Genomic Discovery, Our Future Health, UK Biobank Pharma Proteomics Project, Open Targets, and other public and proprietary datasets, to advance *** s drug development pipeline through human genetics.
Our respect for people shines through patient care interactions and our daily work practices as we work to embrace the knowledge, unique perspectives and qualities each employee and faculty member brings to work each day. Collaborate with software developers, Information Services teams, applications staff and users of information systems to plan, develop, test, and implement application development efforts and reports.
Required Experience and Skills: PhD (or equivalent) in statistical genetics, genetic epidemiology, population genetics, computational biology, bioinformatics, biostatistics, epidemiology, or a related quantitative discipline, with a minimum of 5 year of postdoctoral or equivalent research experience in complex disease genetics. The CDG group leverages large-scale data resources, such as FinnGen, the Alliance for Genomic Discovery, Our Future Health, UK Biobank Pharma Proteomics Project, Open Targets, and other public and proprietary datasets, to advance ***'s drug development pipeline through human genetics.
Cambridge, MA30+ days ago
Qualifications You Must Have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience or in absence of a degree, 9 years of relevant experience. What You Will Do: Work with a team of about 12 people, and contribute to a multi-year interdisciplinary program that brings together teams in biology, engineering, and data science to develop and transition new biotechnology solutions in support of national security.
Bethesda, Maryland30+ days ago
div class="col col-xs-7 description" id="job-description"> Computercraft is seeking a Bioinformatics Scientist to lead the SRA Bioinformatics team supporting the NIH Sequence Read Archive (SRA), the world’s largest publicly accessible repository for genomic sequencing data. To learn about other Computercraft job opportunities, please visit the Careers section of our website: https://www.computercraft-usa.com/.
Durham, North Carolina9 days ago
div>Experience working with analytical tools, software and platforms such as, but not limited to, R, Python, MATLAB, SAS, PERL, Java, Shell, Bash, Seurat / Scanpy, Linux, Unix, Bioconductor, Cloud computing, High-Performance Computing (HPC). All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or .
strong>Required Experience and Skills:- PhD (or equivalent) in statistical genetics, genetic epidemiology, population genetics, computational biology, bioinformatics, biostatistics, epidemiology, or a related quantitative discipline, with a minimum of 5 year of postdoctoral or equivalent research experience in complex disease genetics. The CDG group leverages large-scale data resources, such as FinnGen, the Alliance for Genomic Discovery, Our Future Health, UK Biobank Pharma Proteomics Project, Open Targets, and other public and proprietary datasets, to advance client's drug development pipeline through human genetics.
San Francisco, California30+ days ago
p style="min-height:1.5em"/>We began by revolutionizing plasmid sequencing, making it exponentially cheaper and faster, with innovative sequencing technologies and a global network of laboratories that turn samples into answers in hours, not weeks.
You'll work on the bioinformatics engine powering that impact, wearing many hats:
Philadelphia, PA17 days ago
This is an exciting opportunity to work collaboratively within the bioinformatics team and together with our laboratory directors, supervisors, analysts, genetic counselors, and wet bench team to develop and improve pipelines and other tools to support accurate, timely diagnostic testing that has a direct impact on establishing the diagnosis, prognosis, treatment, and management plan for our patients. - Familiarity with resources of genomic data sets, data bases, and tools, such as UCSC Genome Browser, gnomAD, HGMD, ClinVar, OMIM, ACMG, and various NCBI databases.
San Diego, CA30+ days ago
The strategic data programs you will deliver as part of our BioInsight business sit at the intersection of that data generation and the world's most consequential genomics research: national genome projects sequencing entire populations, biopharma programs linking genomic variation to therapeutic targets, and clinical research initiatives building the evidence base for precision medicine. Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years of experience; or equivalent experience in solutions architecture, bioinformatics, data engineering, or a comparable technical role in genomics or life sciences.
South San Francisco, CA19 days ago
div class="content-pay-transparency">Pay Range
$180,000—$215,000 USD
Working at Nkarta. A central focus of this role is to drive and execute on Nkarta's strategy for single-cell and spatial transcriptomics, leveraging scRNA-seq, spatial, and functional genomics approaches to drive translational insights, biomarker development, and clinical decision-making in early development.
You can access our privacy policy at Privacy Policy. We welcome applications from scientists with a graduate degree (PhD or equivalent) in statistical genetics, genetic epidemiology, computational biology, biostatistics, or a related quantitative field with hands-on experience analyzing human genetics and multi-omics data.