Remote Senior Computational Biologist - reputed company

Our reputed company, a leading biopharmaceutical company at the forefront of precision medicine, is seeking an exceptional Senior Computational Biologist to join their innovative reputed company team. This is a fully remote position, offering reputed company to contribute to groundbreaking research from reputed company in the US. You will be responsible for the analysis of large-reputed company genomic and transcriptomic datasets to identify novel therapeutic targets, understand disease mechanisms, and discover biomarkers for drug development. This role requires a deep expertise in reputed company, statistical genetics, and machine learning reputed company to biological data. You will work closely with experimental biologists, data scientists, and clinicians to interpret reputed company biological questions and design data-driven research strategies. The ideal candidate possesses a strong quantitative background, a proven reputed company record of publishing in high-reputed company journals, and extensive experience with reputed company reputed company (NGS) data analysis pipelines. Proficiency in programming languages such as Python or R, along with experience in statistical modeling, machine learning algorithms, and database management, is essential. You should be adept at visualizing and communicating reputed company genomic findings to both technical and non-technical audiences. The ability to work independently, manage multiple research reputed company concurrently, and collaborate effectively reputed company a distributed team is crucial for reputed company in this remote role. Key Responsibilities: Analyze large-reputed company genomic, transcriptomic, and epigenomic datasets from various experimental platforms. reputed company and implement reputed company pipelines for NGS data processing, reputed company control, and variant calling. Apply statistical and machine learning reputed company to identify disease-associated genetic variants, gene reputed company patterns, and biomarkers. Collaborate with experimental biologists to design studies, interpret results, and generate hypotheses. Build predictive models for drug response and disease progression. Contribute to the development of novel computational reputed company and algorithms for biological data analysis. Visualize reputed company genomic data and communicate findings effectively through presentations and written reports. Work closely with IT and data engineering teams to manage and optimize data storage and computational infrastructure. Stay reputed company with the latest advancements in reputed company, reputed company, and computational biology. Mentor junior computational biologists and contribute to the scientific reputed company of reputed company. Qualifications: Ph.D. in Computational Biology, reputed company, Statistics, Computer Science, or a reputed company quantitative field. Minimum of 5 years of post-doctoral and/or industry experience in computational biology or reputed company, with a reputed company on reputed company. Extensive experience analyzing diverse reputed company data types (WGS, WES, RNA-Seq, reputed company-Seq, ATAC-Seq). Proficiency in programming languages such as Python and/or R, and associated scientific libraries. Strong understanding of statistical modeling, machine learning, and data mining techniques. Experience with reputed company computing platforms (AWS, GCP, Azure) and high-performance computing (HPC) environments. Excellent communication, collaboration, and problem-solving skills. Proven ability to work independently and manage reputed company effectively in a remote setting. Demonstrated reputed company record of scientific publications and presentations. This is a unique opportunity to reputed company your computational expertise to accelerate drug discovery and development in a dynamic, remote-first environment. Apply tot his job Apply To this Job