Bioinformatics Scientist
12 hours ago
Job Description :
We are seeking a highly motivated Bioinformatics Scientist with expertise in RNA sequencing (RNA-seq) and non-coding RNA analysis. The ideal candidate will have an MS or PhD in Bioinformatics, Computational Biology, or a related field, and at least 2 years of hands-on experience working with RNA-seq data.
Key Responsibilities :
Develop and execute RNA-seq data analysis pipelines to support internal and external projects.
Conduct differential expression analysis, transcriptome assembly, and characterization of coding and non-coding RNAs.
Identify and annotate novel non-coding RNAs and perform functional analysis to understand their biological relevance.
Collaborate closely with wet lab scientists and cross-functional teams to design experiments and interpret results.
Visualize and communicate complex bioinformatics results through reports, presentations, and data visualizations.
Keep up to date with the latest advancements in RNA-seq methodologies and non-coding RNA research.
Contribute to the development and enhancement of in-house bioinformatics tools and workflows.
Qualifications :
MS or PhD in Bioinformatics, Computational Biology, Molecular Biology, or a related discipline.
At least 2 years of experience in RNA-seq data analysis and non-coding RNA research.
Proficiency in bioinformatics programming languages such as R and Python
Experience with common bioinformatics tools for RNA-seq analysis (e.g., STAR, HISAT2, DESeq2, edgeR).
Strong knowledge of transcriptomics, gene regulation, and non-coding RNA biology.
Familiarity with public genomic databases (e.g., Ensembl, UCSC Genome Browser, NCBI) and pathway analysis tools.
Experience with Linux/Unix environments and high-performance computing clusters.
Ability to work independently and collaboratively in a multidisciplinary environment.
Excellent problem-solving skills and attention to detail.
Strong verbal and written communication skills in english.
Preferred Qualifications :
Experience with single-cell RNA-seq or long-read sequencing technologies.
Familiarity with network analysis and integration of multi-omics data.
Familiarity with workflow management tools such as NextFlow and/or Snakemake.
Experience in developing data visualization tools for transcriptomics data.
About Biostate AI, Inc.
Biostate AI is building generative models for predicting the evolution of living organisms‘ health following drug dosing, emphasizing safety and toxicity. By innovating new methodologies for collecting RNAseq and DNA methylation data at a fraction of the traditional cost, Biostate has curated a vast, proprietary, multi-species, multi-drug, multi-omics dataset. The company stands out for its patented tokenization, and Universal gene embedding, methods for transfer learning, enabling its generative AI models to forecast human and animal health states with unprecedented 1-day temporal resolution. Biostate AI is co-founded by David Zhang (former tenured professor at Rice University, former founder/CEO of NuProbe) and Ashwin Gopinath (former MIT professor, former founder/CTO of Palamedrix).
Our Culture
At Biostate AI, our core values are Honesty, Discipline, Efficiency, Initiative, and Meritocracy. Team members are encouraged and expected to take ownership of their projects, evaluate and decide effort allocation among multiple projects, continuously learn in an interdisciplinary manner, provide direct feedback to management, continually challenge conventional assumptions and innovate from first principles, and contribute to the company‘s growth and success. We embrace a “move fast and break things” attitude, encouraging our team members to take calculated risks, experiment with new ideas, and learn from failures. We value the ability to move quickly, iterate on ideas, and push boundaries.
Why Join Us :
Work on innovative projects at the forefront of genomics and non-coding RNA research.
Be part of a collaborative and dynamic team of experts.
Competitive salary and benefits package.
Opportunities for professional development and career growth.
Join Biostate.ai in our mission to revolutionize the interface of artificial intelligence and biological research. Let‘s shape the future of biotechnology and healthcare together.
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