Bioinformatics Analyst II
7 days ago
We are seeking a highly skilled Bioinformatics Analyst II to join our team at the Salk Institute for Biological Studies. As a key member of our research group, you will be responsible for analyzing and interpreting large-scale biological data sets, developing and implementing computational methods for data analysis, and collaborating with researchers to advance our understanding of complex biological systems.
Key Responsibilities:- Develop and implement advanced computational methods for data analysis, including machine learning algorithms and statistical modeling.
- Analyze and interpret large-scale biological data sets, including single-cell RNA-seq, ATAC-seq, and metabolomics data.
- Collaborate with researchers to design and implement experiments, and to develop and apply computational methods for data analysis.
- Develop and maintain software tools and pipelines for data analysis and visualization.
- Present research findings at group meetings and contribute to publications in scientific journals.
- MS degree in bioinformatics, computational biology, computer science, biological sciences, bioengineering, mathematics, statistics, or related discipline.
- Minimum of 3 years of relevant bioinformatics experience with a Master's degree. If PhD, experience acquired through PhD program may be considered in lieu of professional experience.
- Hands-on work experience in single-cell analyses and integration, harmonization of data sets, statistics, and machine learning.
- Relevant experience and proficiency in Python programming; fluency in at least 2 common programming languages (Bash, AWK, or R); next-generation sequencing technologies and assays; and high-performance computing (e.g., SGE environment).
- Excellent communicator and organizational skills of data files, analyses, and generation of plots and graphs for figures for manuscripts and grants.
- Outstanding time management and able to work on tight deadlines.
- Minimum of 1 year analysis experience on omics datasets and/or single-cell datasets.
- Minimum of 2 years analysis experience with NGS / High-throughput sequencing data analysis.
- PhD degree in bioinformatics, computational biology, computer science, biological sciences, bioengineering, mathematics, statistics, or related discipline.
The Salk Institute offers a competitive salary range of $67,500 to $88,750 per annum, as well as a comprehensive benefits package, including medical, dental, vision, retirement, paid time off, tuition reimbursement, patient advocacy services, and transit/parking program.
We are an equal opportunity employer and welcome applications from diverse candidates. The Salk Institute is committed to providing equal access to opportunities for students, employees, applicants for employment, and other visitors. We prohibit harassment and discrimination in employment on the basis of, and consider all qualified applicants for employment without regard to, actual or perceived race, color, religion, religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, marital status, age, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, veteran and/or military status (disabled veteran, veteran of the Vietnam era, other covered veteran status), political affiliation, and any other status protected by state or federal law.
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