Principal Research Scientist - Computational Biology

Our client, a cutting-edge biotechnology firm focused on groundbreaking therapeutic development, is seeking a highly experienced Principal Research Scientist in Computational Biology to join their innovative team in Austin, Texas, US . This hybrid role involves both collaborative on-site work and remote flexibility. You will lead the design and execution of complex computational analyses to interpret large-scale biological datasets, driving key decisions in drug discovery and development. The ideal candidate possesses deep expertise in bioinformatics, statistical genetics, and machine learning, with a strong publication record in top-tier journals.

Responsibilities:

Lead the development and application of computational and statistical methods to analyze diverse biological datasets, including genomics, transcriptomics, proteomics, and epigenomics. Design and execute advanced bioinformatics pipelines for high-throughput screening data, clinical trial data, and real-world evidence. Develop predictive models using machine learning and AI techniques to identify novel therapeutic targets and biomarkers. Collaborate closely with experimental biologists, chemists, and clinicians to design research strategies and interpret experimental results. Mentor and guide junior computational biologists and data scientists, fostering a culture of scientific rigor and innovation. Stay at the forefront of scientific literature and emerging technologies in computational biology, bioinformatics, and related fields. Contribute to the intellectual property strategy of the company through novel discoveries and inventions. Present research findings at scientific conferences and contribute to peer-reviewed publications. Manage projects, timelines, and resources effectively for computational biology initiatives. Ensure data integrity, reproducibility, and proper documentation of all analyses. Advise on data infrastructure needs and best practices for data management and analysis. Qualifications:

Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, Genetics, or a related quantitative field. Minimum of 8-10 years of post-doctoral or industry experience in computational biology, with a strong focus on drug discovery or development. Demonstrated expertise in analyzing large-scale biological datasets using a variety of computational tools and programming languages (e.g., Python, R, shell scripting). Deep understanding of statistical genetics, population genetics, and machine learning algorithms. Proven experience with genomics and transcriptomics data analysis (e.g., RNA-Seq, WGS, GWAS). Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and high-performance computing (HPC) environments. Excellent communication, presentation, and collaboration skills, with the ability to convey complex technical concepts to diverse audiences. Strong publication record in reputable peer-reviewed journals. Experience mentoring junior scientists and leading research projects. Ability to work effectively in a hybrid, fast-paced, and collaborative research environment. This is a unique opportunity for a leading computational biologist to make a profound impact on the future of medicine. Join our team and contribute to life-changing discoveries in Austin, Texas, US .