Element Biosciences
Senior Engineer I, AI/Data Science
San Diego - Headquarters · Senior · Full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$7,202 more — $134,202 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $134,202 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Diego-Chula Vista-Carlsbad, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment.
- The ideal candidate will have experience in data science and machine learning, with a background in working with multiomic and single-cell data and/or image processing and computer vision.
- This role will report to Vice President, AI and will be an onsite role at our headquarters in San Diego.
Responsibilities
- Support deployment and maintenance of neural network models on cloud infrastructure (e.g., AWS) or directly on imaging instruments
- Analyze and interpret single-cell and multiomic data to support biological context and downstream interpretation of imaging results
- Partner with molecular biology, chemistry, and data-engineering teams to validate findings
- Collaborate with cross-functional teams including biology, software engineering, and instrumentation to support experiment design and translate biological requirements into modeling objectives
- Knowledge of experimental design and statistical analysis
- This role involves creating, exploring, and analyzing models, as well as applying image processing techniques to support our research and development efforts and contribute to critical programs.
Nice to have
- exposure to production or deployment environments (cloud-hosted or on-instrument) is a plus
- Experience with biological or biomedical image modalities (e.g., fluorescence microscopy, brightfield, high-content imaging) is a plus
- Familiarity with cloud computing platforms (e.g., AWS) is a plus
- Proficiency in working with multiomic and single-cell data is a plus
- Familiarity with bioinformatics and computational biology tools and databases is a plus
- Strong background in statistics and comfort reasoning about model outputs quantitatively
- Excellent problem-solving skills, attention to detail, and ability to work across scientific and engineering disciplines
Compensation
- $127,000 - $155,000
- In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, 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.
Benefits
- Develop and implement deep learning models (CNNs, Vision Transformers, U-Net variants, and related architectures) for biological image analysis and classification, under the guidance of senior team members
- Apply image processing and computer vision techniques to analyze multimodal biological images, including segmentation, feature extraction, and quality scoring
- Stay current with the latest advancements in deep learning, computer vision, and computational biology, and evaluate their applicability to internal research problems
- Education and Experience:
- Experience developing deep learning models for image analysis is required; exposure to production or deployment environments (cloud-hosted or on-instrument) is a plus
- Proficiency with deep learning architectures including CNNs, Vision Transformers (ViT), U-Net, or attention-based models
- Proficiency in Python and relevant deep learning and data science libraries: PyTorch, torchvision, OpenCV, Scikit-learn, NumPy, Pandas, and related tools
- In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off.
Company info
- 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 are committed to scientific integrity, collegiality, honesty, objectivity, and openness.
- We are seeking a highly skilled and motivated Senior Engineer, AI/Data Science to join our dynamic team.
This listing is sourced directly from Element Biosciences's careers page and normalized into a canonical job model.