Senior Research & Development Scientist, Algorithm Developer

Senior Research & Development Scientist, Algorithm Developer

We are seeking a highly experienced and innovative Senior NGS Algorithm Developer to lead the design and optimization of computational pipelines for next‑generation sequencing (NGS) data. This role focuses on the detection and interpretation of a wide range of genomic features, including small variants (SNVs/Indels), copy number variants (CNVs), short tandem repeats (STRs), methylation patterns, and variants in homologous and homopolymer regions.

Expertise in cancer genomics, somatic variant detection, and secondary analysis of NGS data is required. The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field, and have at least five years of hands‑on experience in algorithm development for NGS applications. Experience in pharmacogenomics (PGx) variant calling, including complex loci such as CYP2D6, is strongly preferred.

This role may be performed remotely, hybrid, or onsite, based on candidate preference and business needs.

• Design and implement robust, scalable algorithms for small variants, CNV detection, STR genotyping, methylation analysis, variant resolution in homologous and homopolymer regions, PGx variant calling, including hybrid alleles and copy‑number estimation in complex loci (e.g., CYP2D6, TPMT, UGT1A1).
• Develop and apply algorithms for somatic SNV/Indel calling, CNV and structural variant detection, as well as methylation, alternative splicing, and fusion analysis in cancer transcriptomes.
• Integrate phasing and allele‑specific analysis for small variants and methylation.
• Collaborate with assay scientists and software engineers to translate biological requirements into computational solutions.
• Benchmark algorithm performance using public and internal truth sets.
• Maintain reproducible workflows using tools like Nextflow and Docker.
• Contribute to publications, presentations, and intellectual property development.

• Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related discipline.
• Minimum five years of experience in NGS algorithm development.
• Proficiency in Python, R, C++, and workflow orchestration tools.
• Deep understanding of:
  • Read alignment and variant calling (e.g., BWA‑MEM, minimap2, GATK, Deep Variant).
  • CNV modeling, STR detection tools and methylation callers.
  • Homologous region analysis and control gene normalization.
  • PGx variant interpretation and allele resolution.
• Experience with long‑read technologies (ONT, Pac Bio) and signal‑level data.
• Strong analytical, problem‑solving, and communication skills.

• Experience with machine learning models for variant classification.
• Knowledge of clinical genomics and regulatory standards.
• Familiarity with pharmacogenomic databases (e.g., Pharm
  
  GKB, CPIC).

• Frequently required to sit.
• Frequently required to stand.
• Frequently required to utilize hand and finger dexterity.
• Frequently required to talk or hear.
• Frequently required to utilize visual acuity to operate equipment, read technical information, and/or use a keyboard.
• Occasionally exposed to blood borne and airborne pathogens or infectious materials.

Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.

Mid‑Senior level

Full‑time

Research, Analyst, and Information Technology