Bioinformatics Lead

Job Description

We are seeking an experienced Bioinformatics Technical Lead to drive our computational biology initiatives. The ideal candidate will have 68 years of industry or academic experience (PhD or Masters in a relevant field) with a proven track record in developing and refining high-throughput pipelines for omics data, including RNA-seq, methylation, and new NGS modalities. This highly technical position requires creativity and an aptitude for developing novel computational algorithms. You will work directly with distinguished professors from leading institutions such as MIT, Caltech, Harvard, and others. This role is primarily an individual contributor position with limited leadership responsibilities, guiding a small team (24 highly qualified bioinformaticians) in a technical capacity rather than acting as a full-time manager. Key Responsibilities Pipeline Development & Optimization Design, implement, and optimize scalable, production-grade pipelines for NGS data analysis (RNA-seq, whole-genome, whole-exome, methalomics, NIPT development, novel PCR analysis etc.). Ensure reproducibility, efficiency, and accuracy of computational workflows. Algorithm & Data Analysis Develop and apply novel computational algorithms for gene expression profiling, variant calling, haplotype calls and other genomic analyses. Perform rigorous data mining and statistical analyses to extract actionable insights from large datasets. Technical Leadership Guide and mentor junior bioinformaticians and computational scientists. Conduct code reviews, provide technical feedback, and champion best practices across the team. Collaboration & Cross-Functional Engagement Work closely with molecular biologists, data scientists, and software engineers to translate project goals into robust computational strategies. Communicate results, provide data-driven recommendations, and contribute to scientific publications and intellectual property (as appropriate). Quality & Compliance Maintain high standards of data integrity, documentation, and version control. Implement quality control checks and validation strategies for all workflows. Required Qualifications Education: PhD in Bioinformatics, Computational Biology, Computer Science, or related field; or Masters degree with significant, demonstrable experience. Experience: 6-8 years of hands-on experience analyzing high-throughput NGS data, with an emphasis on RNA-seq. Proven track record of developing and deploying production-level bioinformatics pipelines. Technical Skills: Strong programming background in at least one major language. Familiarity with HPC clusters or cloud computing environments. Expertise in data mining, machine learning, or statistical modeling techniques relevant to genomics. Leadership & Communication: Prior experience in a lead role, supervising or mentoring junior team members. Excellent written and oral communication skills for technical and non-technical audiences. Preferred Qualifications Experience working in a regulated environment (e.g., CLIA, CAP, or similar). Familiarity with workflow management systems (e.g., Nextflow, Snakemake, Cromwell). Knowledge of containerization technologies (Docker, Singularity) and CI/CD pipelines. Publications or patents in computational genomics or related areas. Soft Skills Demonstrated ability to work in a fast-paced, collaborative environment. Strong problem-solving and critical-thinking abilities. Adaptability and willingness to embrace new technologies and methodologies.