Job Description:
Job Title: Bioinformatics Scientist
Location: Boston, MA, USA
Job Description:
We are seeking a highly motivated Bioinformatics Scientist to join our research and development team in Boston, MA. The successful candidate will play a key role in analyzing high-throughput genomic, transcriptomic, and proteomic data to support drug discovery and development efforts. This position requires expertise in computational biology, data integration, and biological interpretation of complex datasets.
Responsibilities:
Develop and apply bioinformatics pipelines to analyze next-generation sequencing (NGS) data.
Collaborate with cross-functional teams including molecular biologists, statisticians, and software engineers.
Identify biomarkers, therapeutic targets, and insights from omics data.
Interpret biological significance and present findings to both technical and non-technical stakeholders.
Maintain and improve data management and analysis tools.
Qualifications:
PhD or MS in Bioinformatics, Computational Biology, or related field.
Proficient in programming languages such as Python, R, or Perl.
Experience with genomic databases, NGS analysis tools, and statistical modeling.
Strong problem-solving skills and ability to work in a fast-paced environment.
Job Requirement:
Job Title: Bioinformatics Scientist
Location: San Diego, CA, USA
Job Requirements:
We are hiring a Bioinformatics Scientist to join our genomics and data science team in San Diego, CA. The ideal candidate will have a strong background in computational biology, with hands-on experience in analyzing large-scale biological datasets and developing custom bioinformatics tools.
Minimum Requirements:
Education: PhD or Master’s degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related discipline.
Experience: 2+ years (PhD) or 4+ years (Master’s) of relevant industry or academic experience in bioinformatics or data science.
Technical Skills:
Proficiency in Python, R, or other scripting languages.
Experience with NGS data analysis, including RNA-Seq, WGS/WES, and single-cell data.
Familiarity with cloud computing environments (e.g., AWS, GCP) and workflow management tools (e.g., Snakemake, Nextflow).
Knowledge of genomic databases (e.g., Ensembl, NCBI, TCGA) and bioinformatics tools (e.g., GATK, STAR, Bowtie, DESeq2).
Soft Skills:
Strong analytical thinking and problem-solving abilities.
Excellent written and verbal communication skills.
Ability to collaborate in a multidisciplinary team environment.
