Job Description
At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.
We are seeking a highly skilled and motivated Bioinformatics Scientist to join our Bioinformatics and Scientific Affairs team. The ideal candidate will have a strong foundation in bioinformatics and data analysis, with hands-on experience working with multiomic and single-cell data. This role focuses on generating high-quality analyses that support scientific publications, conference presentations, and customer-facing enablement. The candidate will collaborate closely with internal scientific teams and external partners to advance our multiomics platform and drive impactful research outcomes. This role will report to the VP, Bioinformatics and Scientific Affairsand is a 1-year post-doc program with the possibility of conversion to a full-time employment at the end of the program.
If you possess the following and want to make a meaningful impact, we invite you to explore this role.
Essential Functions and Responsibilities:
- Design, execute, and interpret multiomic and single-cell data analyses to generate publication-quality scientific insights
- Develop and maintain bioinformatics pipelines and software tools to support platform development and customer enablement
- Contribute to scientific publications and conference presentations, including manuscript preparation, figure generation, and data visualization
- Collaborate closely with wet-lab scientists, product teams, and external partners to design experiments and interpret results
- Apply statistical methods and exploratory data analysis to large multiomic datasets to identify biologically meaningful patterns
- Communicate scientific findings to internal stakeholders and external audiences through reports, presentations, and peer-reviewed publications
- Stay current with advances in sequencing technologies, multiomics methods, and bioinformatics best practices
Education and Experience:
- PhD degree in Bioinformatics, Computational Biology, Genomics, or a related field with 0-3 years of experience
- Demonstrated experience in bioinformatics data analysis, including RNA-seq, single-cell, and/or multiomic workflows
- Proficiency in working with multiomic and single-cell data (e.g., scRNA-seq, CITE-seq, spatial transcriptomics)
- Strong background in statistics and experimental design, including experience with differential expression and multi-group comparisons
- Proficiency in programming languages and tools such as Python, R, and Bash, with experience in relevant bioinformatics libraries (e.g., Seurat, Scanpy, DESeq2)
- Experience with cloud computing platforms (e.g., AWS)
- Familiarity with standard bioinformatics tools, databases, and pipelines (e.g., STAR, GATK, CellRanger, cloud-based HPC environments such as AWS)
- Track record of scientific contribution, including peer-reviewed publications or conference presentations
- Experience with next-generation sequencing platforms and genomics workflows; familiarity with sequencing data QC and benchmarking is a plus
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills
Location:
- San Diego onsite (hybrid potential)
Travel:
- Domestic travel up to 10%
Job Type:
- Post-doc program (1 year contract)
Base Compensation Pay Range:
- $95,000 - $110,000
In addition to base compensation noted above, you will be eligible for no cost health insurance plans, 401k with company match, and flexible paid time off.
Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience.
We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.
