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BIOINFORMATICS SCIENTIST SOUTH SAN FRANCISCO, CA Required Skills:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Physics, or related field, with hands on experiences in NGS data analysis.
- 1 year of relevant experience.
- Hands on experience in performing analysis and interpreting biology with large-scale omics datasets including genetics, transcriptomics, single cell RNA-Seq, proteomics, metabolomics is required.
- Proficiency in at least one programming language, such as R, Python, Perl or MatLab.
- Capable of prioritizing projects and providing high quality deliverables on time.
- Demonstrated ability to provide technical support, perform translational research, and contribute to cross-functional projects.
- Effective written and verbal communication skills.
- Experiences in machine learning and AI.
- Capability of integrating multiple resources to strengthen research comprehensiveness.
- Experience in applying computational methods to problems in cardiovascular and metabolic disease.
- Familiarity with public databases and repositories of DNA and RNA profiling data.
- Strong publication record.
- We are seeking a motivated Computational Biologist with hands on experiences to join our team dedicated to advance our Cardiometabolic Disease (CMD) portfolio.
- As a scientist in CMD, you will be part of creative and enthusiastic teams working on target identification and validation (TIDVAL) for heart failure, NASH, retinal diseases, and vascular disease.
- Work with dynamic cross-functional matrixed teams to support discovery activities.
- Be responsible to adapt pipelines and create data analysis solutions to analyze large scale omics data (transcriptomics, genomic, genetic, metabolomic, proteomic) for TIDVAL.
- Work with in-house, open-source and/or commercially available platforms for the processing and analyzing large datasets.
- Engage and collaborate with wet lab scientists on experimental design, data analysis and interpretation, and mechanistic understanding of target biology.
- Have a proven track record across a wide range of computational biological methods, including but not limited to next generation sequence data analysis, especially bulk RNAseq and scRNAseq, mathematical modeling, machine learning, and data mining.
- Collaborative mindset with strong communication and presentation skills .
- ID: #43743430
- State: California Southsanfrancisco 94080 Southsanfrancisco USA
- City: Southsanfrancisco
- Salary: BASED ON EXPERIENCE
- Job type: Contract
- Showed: 2022-07-01
- Deadline: 2022-08-29
- Category: Et cetera