Senior Computational Biologist - Drug Discovery

Our client is a cutting-edge biotechnology firm dedicated to accelerating drug discovery through advanced computational approaches. We are seeking a highly skilled Senior Computational Biologist to join our fully remote team. This position is ideal for a candidate passionate about leveraging data science, machine learning, and bioinformatics to identify novel therapeutic targets and optimize drug candidates. You will play a crucial role in analyzing diverse biological datasets, including genomics, proteomics, and clinical trial data, to drive key decisions in our drug development pipeline.

The successful applicant will work collaboratively with a global team of scientists, programmers, and clinicians, contributing to a culture of innovation and scientific excellence, regardless of geographical location. This is a unique opportunity to significantly impact the future of medicine from the comfort of your home office, contributing to groundbreaking research with a remote-first mindset.

• Design, develop, and implement computational strategies for analyzing large-scale omics datasets (genomics, transcriptomics, proteomics, metabolomics).
• Apply machine learning and statistical modeling techniques to identify disease biomarkers, predict drug response, and uncover novel therapeutic targets.
• Develop and maintain robust bioinformatics pipelines for data processing, quality control, and analysis.
• Collaborate closely with experimental biologists, chemists, and pharmacologists to interpret results and guide research directions.
• Visualize complex biological data in an intuitive and informative manner for diverse audiences.
• Contribute to the development of predictive models for drug efficacy and toxicity.
• Stay abreast of the latest advancements in computational biology, bioinformatics, machine learning, and drug discovery methodologies.
• Author scientific manuscripts and present findings at international virtual conferences.
• Provide technical guidance and mentorship to junior computational biologists.

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 7 years of experience in computational biology or bioinformatics, with a strong focus on drug discovery or related fields.
• Proven expertise in applying machine learning algorithms (e.g., deep learning, SVM, random forests) to biological data.
• Extensive experience with programming languages such as Python or R, including relevant scientific libraries (e.g., scikit-learn, Tensor Flow, PyTorch, Bioconductor).
• Proficiency in handling and analyzing large datasets, including experience with cloud computing platforms (AWS, GCP, Azure).
• Strong understanding of biological pathways, disease mechanisms, and drug development processes.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superb written and verbal communication skills, with the ability to articulate complex computational concepts to non-computational scientists.
• Demonstrated ability to work effectively in a remote, collaborative team environment.

• As a fully remote position, we offer exceptional flexibility and work-life balance.
• The compensation package is highly competitive, including an annual performance bonus and equity options.
• Benefits include a comprehensive health insurance plan, a generous retirement savings contribution, and a home office stipend.
• We support continuous learning through online courses, virtual conferences, and access to cutting-edge computational resources.
• Join a forward-thinking company where your expertise in computational biology will drive innovation in drug discovery and make a tangible difference in patient lives, all from your remote workspace.