About Company Pioneering breakthroughs in genomics and personalized medicine, Career.zycto empowers scientists to transform complex biological data into actionable insights. We are a forward-thinking entity dedicated to fostering innovation and collaboration within a flexible, supportive environment. For a Bioinformatics Scientist, our dynamic remote setting provides the ideal platform to contribute to cutting-edge research, leveraging diverse datasets and advanced computational tools to drive significant advancements in healthcare and discovery. Join us in shaping the future of bioscience.

Job Description

Career.zycto is actively seeking a highly skilled and motivated Bioinformatics Scientist to join our innovative, remote-first team. This critical role involves spearheading the analysis, interpretation, and visualization of large-scale biological datasets, primarily focusing on genomics, transcriptomics, and proteomics. You will be instrumental in developing and implementing robust bioinformatics pipelines, statistical models, and machine learning algorithms to uncover novel biological insights that drive our research and development initiatives forward. This is an exceptional opportunity for a scientist passionate about leveraging computational power to solve complex biological questions and contribute to the advancement of personalized medicine. Working remotely, you will collaborate closely with a multidisciplinary team of biologists, statisticians, and software engineers. Your expertise will be vital in translating raw data into meaningful scientific discoveries, identifying biomarkers, and understanding disease mechanisms. We are looking for someone who thrives in an autonomous environment, possesses strong problem-solving capabilities, and can communicate complex scientific concepts effectively to both technical and non-technical audiences. You will be expected to stay abreast of the latest advancements in bioinformatics tools, techniques, and biological databases, continuously seeking opportunities to integrate new methodologies into our workflows. Your contributions will directly impact our projects, from early-stage discovery to translational applications, helping us build a healthier future.

Key Responsibilities

• Develop, implement, and optimize bioinformatics pipelines for the analysis of next-generation sequencing data (RNA-seq, WGS, WES, scRNA-seq).
• Perform statistical analysis and data mining on large genomic, transcriptomic, and proteomic datasets to identify significant patterns and insights.
• Collaborate with experimental scientists to design experiments, interpret results, and provide bioinformatics support.
• Develop and apply machine learning algorithms for predictive modeling, classification, and feature selection.
• Generate comprehensive reports, visualizations, and presentations to communicate findings to internal and external stakeholders.
• Evaluate and integrate new bioinformatics tools, software, and public databases into existing workflows.
• Maintain high-quality documentation of all analyses, code, and methodologies.
• Contribute to scientific publications, grant applications, and intellectual property development.

Required Skills

• Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field, or equivalent practical experience.
• 3+ years of post-doctoral or industry experience in bioinformatics.
• Proficiency in programming languages such as Python (Pandas, NumPy, SciPy) and R for data analysis and visualization.
• Strong experience with various bioinformatics tools and public databases (e.g., NCBI, UCSC Genome Browser, Ensembl, GTEx).
• Expertise in statistical analysis, machine learning techniques, and experimental design.
• Solid understanding of molecular biology, genetics, and genomics principles.
• Experience with high-performance computing (HPC) environments and cloud platforms (AWS, Azure, GCP).
• Excellent written and verbal communication skills, with the ability to present complex data clearly.

Preferred Qualifications

• Experience with single-cell sequencing data analysis (e.g., Seurat, Scanpy).
• Familiarity with containerization technologies (Docker, Singularity).
• Prior experience in drug discovery, clinical genomics, or precision medicine.
• Knowledge of version control systems (Git) and collaborative development workflows.
• Experience with workflow management systems (e.g., Nextflow, Snakemake).

Perks & Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off (PTO) and sick leave.
• Flexible remote work environment.
• Dedicated budget for professional development, conferences, and training.
• Home office setup stipend.
• Opportunities for continuous learning and career growth.
• Collaborative and supportive team culture.

How to Apply

If you are a driven Bioinformatics Scientist eager to make a significant impact in a remote-first, innovative en