Biologist Salary at Oikonos BETA

Computational Biologist Location: Remote, must be able to work PST Duration: contract through end of 2025 with probability of extensions ASAP Start Position Details The Oncology team in the Computational Biology and Translation Pillar of gRED Computational Sciences (gCS) is seeking a talented and highly motivated Computational Scientist (Contract) with a strong analytical background in computational biology and cancer, particularly focusing on data from Breast Cancer patients. The successful candidate will have a proven track record in multi-omics analysis and the application of both standard and advanced computational methods, such as statistical modeling, machine learning, and bioinformatics pipelines, for hypothesis testing and novel insight generation on clinical data. Responsibilities Collaborate with scientists in Computational Oncology to analyze large-scale bulk RNA and WES clinical datasets to address scientific hypotheses and deliver novel insights. Develop analytical approac

Must-Have Qualifications: 5+ years of experience in biological monitoring for construction projects B.S. in Biology or a related field Experience surveying for: California Ridgway’s Rail Black Rail Salt Marsh Harvest Mouse Western Snowy Plover California Least Tern Key Responsibilities: Conduct surveys and monitoring for sensitive biological resources and special-status species Inspect work sites for compliance with resource agency permits Coordinate with project team members, construction supervisors, and crew members Provide environmental training to construction crews Prepare daily field monitoring reports Project Details: Project: Shoreline Project in San Jose, CA Company: Medium-sized construction company Duration: Seasonal/project-based (March – September)

Biologist Lead - ( 240002NH ) Description Grounded in safety, quality, and ethics, our experts lead their fields and guide our work with rigor, a creative spirit, and vision for growth. We draw from more than 20 technical specialties around the globe and are committed to fostering an inclusive community of diverse talents, backgrounds, and expertise. Stantec is a place to apply your passion and collaborate with top environmental experts on work that's critical to our clients and the communities they support. Your Opportunity Stantec is seeking a Lead Biologist to join our Environmental Services Practice working within our power utility sector in the Northern California region, to provide management on our multi-discipline programs. This position includes leading desktop biological constraints reviews, and working supporting staff in completing reports, quality reviews, permit knowledge as well as maintaining key communications with the client. The position is to be based out of our Sac

Job Title: Computational Biologist Location: San Francisco, CA – USA Remote Skills: Entry-level or recent grad who is more academic/exploratory research-focused Qualifications: M.S. or Ph.D. in Computational Biology, Computer Science, Statistics, Bioinformatics, Bioengineering, or a related quantitative field Proven experience in analyzing single-cell RNA-seq data Experience in developing statistical and computational methods/tools Proficiency in Python, R, Unix, Git, and using HPC Experience with bioinformatics analysis tools such as Scanpy and Seurat. Experience in analyzing spatial transcriptomics data. The mission of the Omni Department is to facilitate drug discovery and development by understanding the biological mechanisms of diseases through the integration of multi-omics data derived from wet-lab experiments and cutting-edge computational and statistical methods. Developing computational and statistical methods to detect disease-associated cell-cell interactions Understanding

Job Title: Computational Biologist Location: San Francisco, CA – USA Remote Skills: Entry-level or recent grad who is more academic/exploratory research-focused Qualifications: M.S. or Ph.D. in Computational Biology, Computer Science, Statistics, Bioinformatics, Bioengineering, or a related quantitative field Proven experience in analyzing single-cell RNA-seq data Experience in developing statistical and computational methods/tools Proficiency in Python, R, Unix, Git, and using HPC Experience with bioinformatics analysis tools such as Scanpy and Seurat. Experience in analyzing spatial transcriptomics data. The mission of the Omni Department is to facilitate drug discovery and development by understanding the biological mechanisms of diseases through the integration of multi-omics data derived from wet-lab experiments and cutting-edge computational and statistical methods. Developing computational and statistical methods to detect disease-associated cell-cell interactions Understanding

Job Title: Computational Biologist Location: San Francisco, CA – USA Remote Skills: Entry-level or recent grad who is more academic/exploratory research-focused Qualifications: M.S. or Ph.D. in Computational Biology, Computer Science, Statistics, Bioinformatics, Bioengineering, or a related quantitative field Proven experience in analyzing single-cell RNA-seq data Experience in developing statistical and computational methods/tools Proficiency in Python, R, Unix, Git, and using HPC Experience with bioinformatics analysis tools such as Scanpy and Seurat. Experience in analyzing spatial transcriptomics data. The mission of the Omni Department is to facilitate drug discovery and development by understanding the biological mechanisms of diseases through the integration of multi-omics data derived from wet-lab experiments and cutting-edge computational and statistical methods. Developing computational and statistical methods to detect disease-associated cell-cell interactions Understanding

Job Title: Computational Biologist Location: San Francisco, CA – USA Remote Skills: Entry-level or recent grad who is more academic/exploratory research-focused Qualifications: M.S. or Ph.D. in Computational Biology, Computer Science, Statistics, Bioinformatics, Bioengineering, or a related quantitative field Proven experience in analyzing single-cell RNA-seq data Experience in developing statistical and computational methods/tools Proficiency in Python, R, Unix, Git, and using HPC Experience with bioinformatics analysis tools such as Scanpy and Seurat. Experience in analyzing spatial transcriptomics data. The mission of the Omni Department is to facilitate drug discovery and development by understanding the biological mechanisms of diseases through the integration of multi-omics data derived from wet-lab experiments and cutting-edge computational and statistical methods. Developing computational and statistical methods to detect disease-associated cell-cell interactions Understanding

Position Summary: We are looking for an independent and highly motivated laboratory-focused PhD scientist to contribute to research efforts aimed at understanding target biology and the mechanism of action of novel small molecule inhibitors for cancer treatment. This scientist will play a key role in designing and executing cell-based assays to address critical scientific questions. The ideal candidate should be passionate about cancer biology and thrive in a fast-paced, multidisciplinary team environment focused on discovering and developing new therapeutics. The position level will be based on experience. Key Responsibilities: Independently design and execute experiments. Perform in vitro assays to investigate the mechanism of action of potential anti-cancer therapeutics and identify novel biomarkers and biological pathways. Analyze and interpret experimental data, troubleshoot issues, and refine methodologies as needed. Collaborate closely with scientists across research teams to al