Planet Pharma ยท 2 days ago
Bioinformatics Associate II
Planet Pharma is seeking a highly skilled and motivated Bioinformatician (Level II) with hands-on experience. The role involves leading the development and optimization of bioinformatics pipelines and analyzing NGS datasets while collaborating closely with cross-functional research teams.
BiotechnologyHealth CarePharmaceutical
Responsibilities
Develop, automate, and maintain robust pipelines for RNA-seq, WGS/WES, scRNA-seq, or other sequencing datasets
Optimize workflows for reproducibility, scalability, and performance across HPC or cloud environments
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
Write efficient, reproducible, and well-documented code in Python or R
Build custom tools for data integration, transformation, and visualization
Implement, evaluate, and adapt existing bioinformatics tools and algorithms
Integrate open-source resources to support project objectives
Work closely with wet-lab scientists to interpret data, troubleshoot issues, and align computational analyses with experimental design
Communicate complex findings clearly to technical and non-technical audiences
Diagnose pipeline failures, data issues, and computational inefficiencies
Ensure data integrity, workflow reproducibility, and methodological rigor
Prepare clear reports, visualizations, and presentations summarizing analysis outcomes
Maintain precise documentation of workflows, code, and datasets
Stay current with bioinformatics tools, NGS technologies, and computational methods
Qualification
Required
Masters degree is required (Bioinformatics, Computational Biology, Genomics, Computer Science, or related 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
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 assays
Company
Planet Pharma
Planet Pharma is a pharmaceuticals company.
H1B Sponsorship
Planet Pharma has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (3)
2021 (5)
2020 (5)
Funding
Current Stage
Late StageLeadership Team
Company data provided by crunchbase