Bioinformatics Scientist

Role and Responsibilities: As a Senior Bioinformatics Scientist, you’ll lead the charge in building cutting-edge bioinformatics workflows that power faster, smarter science. Collaborating with a passionate team of scientists, bioinformaticians, and software engineers, you’ll drive innovation and mentor others in a creative, high-impact environment. Your key responsibilities include: Designing and optimizing high-performance bioinformatics pipelines for processing thousands of daily samples, leveraging tools like Snakemake and cloud deployments. Innovating sequence analysis workflows for bulk/single-cell RNAseq, differential gene expression, and large-scale genomics, ensuring robust and scalable solutions. Troubleshooting complex sequencing data challenges, from biological artifacts to platform-specific issues, to ensure reliable outputs. Developing intuitive web tools (e.g., Streamlit, R Shiny) and data visualizations to transform raw bioinformatics data into actionable insights. Providing thought leadership and mentoring junior team members, fostering a culture of innovation and collaboration. Staying ahead of industry trends, integrating emerging bioinformatics tools to enhance our offerings for biopharma and research clients. Job Requirements: Education and Experience: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related field, with 3+ years of experience developing production-level bioinformatics pipelines. Deep expertise in analyzing bulk/single-cell RNAseq data and performing differential gene expression using state-of-the-art tools. Significant experience building production-level Snakemake (or Nextflow) pipelines, with local and cloud-based deployments. Strong knowledge of sequence analysis (alignment, assembly) and molecular biology, with experience in Oxford Nanopore and Illumina sequencing. Proficiency in Python (numpy, pandas, Jupyter, Biopython) and package management (e.g., Conda). Hands-on experience with Docker, Apptainer, or Singularity for containerized workflows. Expertise in Git/GitHub and Linux shell scripting for version control and automation. Proficiency in developing intuitive web tools for bioinformatics reporting (e.g., R Shiny, Streamlit). Familiarity with public genomic data repositories (e.g., NCBI, Ensembl) and large-scale genomic data processing. Strong communication skills and ability to write clean, maintainable, production-ready code. Preferred Qualifications: Experience with compiled languages (C++, Rust) for performant software development. 1+ year of molecular biology wet lab experience. Demonstrated ability to develop novel bioinformatics algorithms. Strong interest in creating intuitive data visualizations for scientific insights. Benefits: Competitive Compensation: Highly competitive remuneration. Generous Time Off: 4 weeks paid time off + 10 paid holidays. Comprehensive Health Coverage: Health, dental, and vision insurance, plus life insurance and mental health coverage. Retirement and Wellness: 401(k) with matching, Health Advocate services, and gym membership. Impactful Work: Contribute directly to accelerating biotech research, supporting novel therapies and sustainability. Innovative Environment: Work with cutting-edge tools (e.g., Snakemake, Streamlit, AWS) and collaborate with top-tier researchers. Supportive Culture: Join a passionate, inclusive team that values creativity, mentorship, and professional growth.