Field Bioinformatics Scientist (Spatial)
Complete Genomics San Jose, CA Are you a self-motivated bioinformatician with a technical background and considerable experience in programming and NGS data analysis? Are you passionate about assisting others to spatially profile RNAs and proteins in tissue sections from different organisms? Do you find fulfillment and satisfaction when you proactively , troubleshoot, and assist clients in adopting new tools for big data mining? As the Field Bioinformatics Scientist (Spatial), you will be responsible for providing scientific and technical expertise to support customers in adopting Complete Genomics’ single-cell and spatial technologies. You will empower researchers to design experiments, analyze big data, and interpret results, while acting as a trusted partner to help them achieve their scientific goals. WHAT YOU WILL BE DOING
- Serve as the primary bioinformatics contact for customers using Complete Genomics’ spatial transcriptomics platforms.
- Provide hands-on support for experimental design, data analysis, and interpretation.
- Conduct customer training sessions, workshops, and webinars on spatial and single-cell workflows.
- Collaborate with R&D, product, and application teams to troubleshoot, optimize, and improve workflows.
- Generate and present analytical reports, publications-ready figures, and case studies.
- Stay up to date with emerging analysis tools and contribute to pipeline development and benchmarking.
- Support pre- and post-sales processes by demonstrating workflows and advising on project feasibility.
ABOUT YOU
- Strong communicator with the ability to simplify complex analyses for diverse audiences.
- Empathetic, customer-oriented, and collaborative with a service-focused mindset.
- Flexible and proactive problem solver who thrives in cross-functional environments.
WHERE YOU WILL WORK
- Location: San Jose, California (on-site preferred). Remote candidates within the U.S. will also be considered.
- Travel: Approximately 10–15% to customer sites, conferences, and training events.
WHAT YOU WILL BRING US MUST-HAVE QUALIFICATIONS
- 2+ years of hands-on experience (post degree) in spatial transcriptomics and/or single-cell analysis (e.g., 10x Visium, Stereo-seq, CosMx, MERSCOPE).
- Knowledge of single-cell RNA-seq workflows, with the ability to integrate and interpret results in biological context (cell type annotation, tissue organization, pathway analysis).
- Excellent communication and customer-facing skills: able to explain complex analyses clearly, lead trainings/workshops/scientific presentations, and collaborate with empathy and a service-oriented mindset.
ADDITIONAL QUALIFICATIONS
- Proficiency with analysis frameworks such as Seurat, Scanpy, Giotto, Squidpy, BayesSpace, or StereoMap.
- Strong programming/scripting skills (Python, R, Linux, shell scripting).
- Experience with containerization technologies (Docker, Singularity).
- Solid knowledge of statistics, data visualization, and machine learning methods in genomics.
WHAT YOUR EDUCATION LOOKS LIKE
- M.S. degree in Bioinformatics, Computational Biology, Genomics, or a related field with relevant professional experience, or Ph.D. in a related field with demonstrated expertise in spatial and/or single-cell data analysis.
HOW WE WILL REWARD YOU The base salary range for this position is $90,000-125,000 DOE.* • Annual bonus plan to say thank you for all your hard work.
- Annual gym membership reimbursement to keep you healthy.
- Employee discount program to save you some money.
We offer eligible employees and their dependents (including domestic partners) a comprehensive and competitive benefits package. We contributes to the benefits package.
- Medical, Dental and Vision Coverage
- Life and AD&D Insurance
- Long-term and Short-term Disability Insurance
- Voluntary Life and AD&D Insurance
- Health Savings Account (HSA)
- Flexible Spending Accounts (FSA)
- Domestic Partner Benefits
- Commuter Program
- Employee Assistance Program
- 401(k) Retirement Plan
- Education Assistance
- 20 PTO days and 11 holidays per year
Complete Genomics provides equal employment opportunity without regard to race, color, religion, sex, national origin, sexual orientation, gender identity and/or expression, age, disability, veteran or uniformed service status, or any other characteristic protected by applicable law.
- Final offer will be dependent on, but limited to, geographic location, relevant education and work experience, internal equity, and market conditions.
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