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In this role, you will play a vital role in analyzing and interpreting next-generation sequencing (NGS) data, contributing to the success of our client projects from initial data exploration to actionable insights.
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This position can be either on-site in San Diego, fully remote, or hybrid. A proven track record of success analyzing Next Generation Sequencing Data from various omic types and running/maintaining bioinformatic workflows.
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Who You Are You are an ambitious bioinformatics professional fascinated by the intersection of data science and translational medicine within the biopharmaceutical realm. Job DescriptionDo you have a passion for using big data to advance human health and enjoy solving complex problems alongside diverse clients.
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Responsibilities: Job DescriptionDo you have a passion for using big data to advance human health and enjoy solving complex problems alongside diverse clients? Preferred 1 -5 years of previous industry experience, with a focus on large-scale data analysis.
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We are seeking a highly motivated and talented Bioinformatics Scientist to join our growing team at Monoceros Biosystems. Qualifications: Required Ph. D. in Bioinformatics, Computational Biology, or a related field with a strong biological background.
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To support our explosive growth, we are looking for strong bioinformatics/computational biology programmers and scientists to join our team of seasoned drug hunters. Who We Are Monoceros Biosystems is a rapidly growing bioinformatics service provider to small and established drug discovery companies, as well as biotechnology investment firms.
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Consulting experience in the biopharma industry or a strong understanding of the drug discovery and development process is highly desirable. We partner with many small to midsize BioTech to accelerate drug discovery and development through innovative bioinformatic solutions.
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Desired Experience presenting bioinformatics solutions to drug development audiences. Seeking a team that values your expertise and encourages your initiative, you're eager to play a pivotal role in driving forward the landscape of drug discovery and development.
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Solid understanding of NGS technologies. Benefits Family-friendly: Flexible working hours enable crafting your own work schedule and ability to work remotely. Whether you're navigating the early stages of your postdoctoral career or gaining traction in the industry, your proactive approach and hands-on attitude leave a lasting impact.
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Relevant experience in project management, time management tools, and methodologies that support autonomous work is highly desirable. With a keen eye for detail and adept project management abilities, you thrive in collaborative environments where diverse workstyles complement each other.
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Proficient in R and Python with experience in scientific computing libraries (e.g., Bioconductor, Scikit-learn). Work-life balance: Full-time employees work a minimum of 30 hours/week, with performance bonuses for additional hours.
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We tackle client projects ranging from target identification through regulatory agency interactions and help them meet their internal demands and move their products and ideas forward. Competitive benefits including health, dental, vision, life, and disability insurance.
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A proactive approach to identifying needs, proposing solutions, setting realistic deadlines, and adjusting workload based on shifting priorities. Excellent communication and teamwork skills, with the ability to work effectively in a fast-paced, client-oriented environment.
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A strong desire to contribute to improving human health through innovative bioinformatic solutions. Strong analytical skills with the ability to learn independently, troubleshoot issues, identify solutions, and implement changes.
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Internally driven to stay informed about industry trends and technologies that can contribute to breakthroughs and project success. Candidates must have a proven track record of successfully managing and completing projects on their own, showcasing their ability to work independently while still contributing to the team's overall objectives.
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