At Element Biosciences, the mission is to empower the scientific community with more freedom and flexibility to accelerate the collective impact on humanity. They have built a product-driven organization committed to scientific integrity, collegiality, and openness.
The Opportunity
We are seeking a Bioinformatics Scientist to join our Bioinformatics and Scientific Affairs team. This is a 1-year post-doc program with the possibility of conversion to full-time employment.
The role focuses on generating high-quality analyses to support scientific publications, conference presentations, and customer-facing enablement. You will collaborate with internal scientific teams and external partners to advance our multiomics platform and drive impactful research. This position reports to the VP, Bioinformatics and Scientific Affairs.
What You'll Do
- Data Analysis: Design, execute, and interpret multiomic and single-cell data analyses (scRNA-seq, CITE-seq, spatial transcriptomics) to generate publication-quality insights.
- Pipeline Development: Develop and maintain bioinformatics pipelines and software tools to support platform development.
- Scientific Communication: Contribute to manuscripts, figure generation, and data visualization for peer-reviewed journals and conferences.
- Collaboration: Work closely with wet-lab scientists and product teams to design experiments and interpret results.
- Statistical Application: Apply exploratory data analysis and statistical methods to large datasets to identify biological patterns.
- Innovation: Stay current with advances in NGS technologies, multiomics methods, and bioinformatics best practices.
What You'll Bring
Education & Experience
- PhD in Bioinformatics, Computational Biology, Genomics, or a related field.
- Experience: 0–3 years of experience post-PhD.
- Track Record: Proven history of scientific contributions through peer-reviewed publications or conference presentations.
Technical Skills
- Multiomic Proficiency: Hands-on experience with RNA-seq, single-cell workflows (Seurat, Scanpy), and spatial transcriptomics.
- Programming: High proficiency in Python, R, and Bash.
- Bioinformatics Tools: Familiarity with standard tools and pipelines (e.g., STAR, GATK, CellRanger, DESeq2).
- Infrastructure: Experience with cloud computing (AWS) and high-performance computing (HPC) environments.
- Statistics: Strong foundation in experimental design, differential expression, and multi-group comparisons.
- NGS Knowledge: Experience with sequencing data QC and benchmarking is a significant plus.
Compensation & Logistics
- Base Compensation: $95,000 - $110,000 (depending on qualifications and experience).
- Job Type: 1-year Post-doc contract (potential for full-time conversion).
- Location: San Diego, CA (Onsite/Hybrid potential).
- Travel: Domestic travel up to 10%.
Benefits
- No-cost health insurance plans.
- 401(k) with company match.
- Flexible paid time off.
