Core Bioinformatics Analyst II- Integrative Genomics and Bioinformatics Core (Temporary)

The Integrative Genomics and Bioinformatics Core (IGC) provides computational analysis support for omics projects at the Salk Institute. This includes training in genomics analysis, development of novel algorithms and approaches, active collaborative participation in research projects with laboratories across the Institute, maintenance of core resources, and providing training in interpretation and design of high-throughput experiments. The core is integrated with next generation sequencing services and works closely with single-cell and spatial -omics core (OMICS), Mass spectrometry core (MASS), Imaging Core (BPHO), Information Technology (IT), scientific, administrative, and core leadership to facilitate cutting edge biological research at the Institute.

Under the direction of the core director, the Bioinformatics Analyst II will work closely with other members of the core and researchers throughout the Institute to advance genomics research projects, most notably with spatial transcriptomic and single-cell sequencing datasets.  The position leverages advanced knowledge in genomics and bioinformatics and at least a year of experience to design and carry out standard and advanced analyses on genomics datasets and present analyses to scientists at the Institute. The Bioinformatics Analyst II will also help maintain core resources (scripts, software, websites, tools), and provide basic training on interpreting data and analyses to Institute scientists. The position also involves scientific writing, tool development/testing, and occasional presentation of work at scientific conferences as well as providing occasional guidance to core interns and incoming analysts.

Length of Contract: 4 months

What Your Key Responsibilities Will Be

• Assist Institute researchers and contribute to scientific discovery by analyzing genomics/next-gen sequencing data, including, but not limited to: RNA-Seq, ChIP-Seq, GRO-Seq, Hi-C, Bisulfite-Seq, single-cell RNA-Seq, spatial transcriptomics and other emerging methods, working closely with researchers from multiple laboratories and scientific backgrounds simultaneously
• Present results verbally and with visual aids in one-on-one meetings, group meetings, or conferences.
• Maintain lab notebook, including experimental design, time, methods, materials and results.
• Work independently or with limited supervision on informatics research projects under direction from senior core staff or with research collaborators.
• Use published pipelines, scripts, and tools to prepare and process large datasets.
• Work in a high-performance computing environment.
• Keep abreast of new scientific advances in bioinformatics, genomics, next-generation sequencing, and biological fields related to current projects.
• Research, implement, and test, and present on new tools and pipelines for high-throughput data analysis.
• Participate in the design and coding of analysis pipelines and cutting-edge bioinformatics analysis algorithms.
• Provide assistance and training to researchers on how to analyze and interpret next-gen sequencing data.
• Ensure users are aware of the limitations of analyses and approaches to help ensure high standard of scientific research.

Supervisory Responsibilities:

• This job has no supervisory responsibilities.

What we Require

• BS degree in a relevant field (bioinformatics, computational biology, computer science, biological sciences, bioengineering, mathematics, statistics) and at least 4 years or related experience with analysis of large omics datasets or an equivalent combination of education and experience.
• Programming experience (Python, Java, R, C/C++, Perl, Bash) required.

 Preferred:

• Experience working in a Linux /UNIX operating system in a high-performance computing environment preferred.
• Experience with machine learning algorithms and computational modeling preferred.
• Background in biology (aging, cancer, regulation, immunology, neurobiology, especially with genomic sequencing and multi-omics analysis preferred.
• Experience with cloud computing (AWS/GPC) a plus.

What We Can Offer

The expected pay range for this position is $35.00 to $44.00 hourly.  Salk Institute provides pay ranges representing its good faith estimate of what the institute reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.

Salk Values

The Salk Community, both scientists and administrators, worked together to define values that we believe support Salk’s pursuit of excellence. To be truly the best scientific institution requires not only incredible discoveries, but a common understanding of how we should work together to enable those discoveries.

The acronym “I CARE” provides a simple way to remember each of the values and reminds each of us of the importance of what we do each day.

Equal Employment Opportunity Statement

The Salk Institute for Biological Studies is an Equal Opportunity Employer and is committed to providing equal access to opportunities for students, employees, applicants for employment and other visitors. Salk has also adopted and maintains a policy to encourage professional and respectful workplace behavior and prevent discriminatory and harassing conduct in our workplace.

Accordingly, the Institute prohibits harassment and discrimination in employment on the basis of, and considers all qualified applicants for employment without regard to, actual or perceived race (race is inclusive of traits associated with race, including, but not limited to, hair texture and protective hairstyles. Protective hairstyles include, but not limited to, such hairstyles as braids, and twists), 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), reproductive health decision making, 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.

Discrimination is prohibited with any intersectionality of the above-mentioned characteristics, including:

1. Any combination of characteristics.
2. A perception that the person has any of the characteristics or any combination of those characteristics.
3. A perception that the person is associated with a person who has, or is perceived to have, any of those characteristics or any combination of those characteristics.