What are the responsibilities and job description for the Bioinformatician (Level II) position at Lancesoft INC?
Title: Bioinformatician (Level II)Location: 1 DNA Way, South San Francisco, CA, USA 94080Duration: 6 monthsPay: $45/hrWorking Model: Hybrid – South San Francisco (1 day onsite / 4 days remote)Experience Level: 5–10 years of hands-on experience requiredEducation Requirement: Master’s degree requiredPosition OverviewWe are seeking a highly skilled and motivated Bioinformatician (Level II) with 5–10 years of hands-on experience anda master’s degree in bioinformatics, Computational Biology, Genomics, Computer Science, or a related quantitative fieldThis individual will lead the development and optimization of bioinformatics pipelines, analyze NGS datasets, andcollaborate closely with cross-functional research teams. The ideal candidate is highly proficient in Python or R, hasdeep experience with NGS workflows and thrives in a fast-paced research environment.Key ResponsibilitiesBioinformatics Pipeline Development● Develop, automate, and maintain robust pipelines for RNA-seq, WGS/WES, scRNA-seq, or othersequencing datasets.● Optimize workflows for reproducibility, scalability, and performance across HPC or cloud environmentsNGS Data Analysis● Perform advanced computational analyses, including:○ Variant calling○ Differential gene expression○ Transcriptomic and epigenomic analysis○ Pathway/enrichment analysis○ Genomic annotation● Conduct QC for FASTQ, BAM/CRAM, VCF, and related formats.Programming & Scripting● Write efficient, reproducible, and well-documented code in Python or R.● Build custom tools for data integration, transformation, and visualization.Tool & Algorithm Implementation● Implement, evaluate, and adapt existing bioinformatics tools and algorithms.● Integrate open-source resources to support project objectives.Cross-Functional Collaboration● Work closely with wet-lab scientists to interpret data, troubleshoot issues, and align computational analyseswith experimental design.● Communicate complex findings clearly to technical and non-technical audiences.Troubleshooting & Optimization● Diagnose pipeline failures, data issues, and computational inefficiencies.● Ensure data integrity, workflow reproducibility, and methodological rigor.Documentation & Reporting● Prepare clear reports, visualizations, and presentations summarizing analysis outcomes.● Maintain precise documentation of workflows, code, and datasets.Continuous Learning● Stay current with bioinformatics tools, NGS technologies, and computational methods.Required Qualifications● Master’s degree is required (Bioinformatics, Computational Biology, Genomics, Computer Science, orrelated quantitative field).● 5–10 years of hands-on experience working in bioinformatics or computational genomics.● Demonstrated proficiency in Python or R (candidate must specify their primary language).● Extensive experience analyzing NGS datasets and implementing standard workflows.● Proficiency with key tools, including:○ STAR, BWA, Bowtie2, GATK, Samtools, bcftools○ DESeq2, EdgeR, Seurat, Scanpy● Experience with public genomic databases (NCBI, Ensembl, UCSC, GTEx, TCGA).● Strong understanding of statistics, experimental design, and computational biology principles.● Proficiency using Git/GitHub for version control.● Excellent communication, problem-solving, and organizational skills.Preferred Qualifications● Experience with workflow management systems (Nextflow, Snakemake, WDL/Cromwell).● Background in cloud computing (AWS, GCP, Azure) and containerization (Docker, Singularity).● Previous work with HPC clusters.● Experience with specialized sequencing applications such as:○ Single-cell assays (scRNA-seq / ATAC-seq)○ Long-read sequencing (PacBio, ONT)○ Epigenomics assaysSupplier Instructions (Mandatory)All submissions must include:● Candidate’s primary programming language (Python or R) at the top of the resume.● No job-to-job resumes; resumes must show tangible accomplishments and clear tenure.● Specific NGS pipelines, data types, and tools the candidate has directly used.● Candidate confirmation that they can commit to 1 day onsite weekly.Interview: 1.phone screening 2. virtual
Salary : $40 - $45