sandboxaq - ML Research Engineer, AI for Life Sciences
Requirements
• Academic Foundation: Bachelor's degree in a scientific or quantitative field (Computer Science, Physics, Mathematics, Biology, Chemistry, or related); an advanced degree (MS or PhD) is preferred. • Applied ML in Science: Demonstrated experience building and maintaining machine learning models in a scientific discipline in an industry setting, including taking models from prototype through validation and maintenance; experience in a life sciences setting is preferred. • Large-Scale Data Management: Required experience managing large-scale datasets and managing the training of models over them, including data ingestion, cleaning, versioning, and pipeline maintenance at scale. • Software Engineering: Strong Python programming skills and experience with modern ML frameworks (e.g. PyTorch, JAX) and experiment tracking/data versioning tools (e.g. Weights & Biases). • Scientific Rigor: Ability to design sound evaluation methodology (e.g. train/test splitting strategies, held-out generalization tests) and to critically interpret model performance against meaningful baselines. • Bioinformatics & Computational Biology: Experience with bioinformatics and computational biology data analysis tools, particularly transcriptomics harmonization and normalization tools (e.g. batch correction, pseudobulking, gene ID mapping/standardization). • Domain Datasets: Familiarity with public perturbation or drug-sensitivity datasets such as LINCS L1000, GDSC, DepMap, or single-cell perturbation atlases. • Knowledge Graphs & GNNs: Experience with knowledge graph embeddings or graph neural networks applied to drugs, targets, or cells. • Cheminformatics: Familiarity with cheminformatics representations (SMILES, InChI keys, PubChem/Cellosaurus identifiers) used to harmonize drug and cell metadata across datasets. • Collaborative Innovation: Experience working in interdisciplinary environments where AI intersects with the biological sciences.
Responsibilities
• Model Development: Build, train, and maintain machine learning models for expression-perturbation prediction (e.g. transcriptomic response to a drug perturbation) and downstream functional-endpoint prediction (e.g. cell viability, IC50, toxicity dose-response). • Large-Scale Dataset Management: Acquire, harmonize, and manage large-scale biological datasets (e.g. LINCS L1000, GDSC, Tahoe-100M, DILImap) — including schema harmonization, normalization, and de-duplication across cell, drug, and assay identifiers — and manage model training pipelines over these pooled datasets. • Evaluation & Baselines: Contribute to automating and hardening the end-to-end evaluation pipeline, including implementing robust statistical baselines (e.g. cell- and drug-conditioned mean baselines) to rigorously benchmark model performance. • Research Translation: Translate ideas from the scientific literature (e.g. transformer-based perturbation models, knowledge graph and GNN-based embeddings) into working, well-tested code integrated into our modeling framework. • Cross-Functional Collaboration: Partner with computational biologists, software engineers, and product stakeholders to ensure models are grounded in sound biology and are usable in real drug discovery workflows. • Communication: Clearly document methods, assumptions, and results, and communicate findings to both technical and non-technical stakeholders.
Benefits
• UK Tier 1£84K – £126K • UK Tier 2£71.4K – £107.1K • At SandboxAQ, we are committed to competitive, equitable, and transparent compensation; we continuously benchmark our salaries and total compensation to premium markets to ensure our competitiveness. Individual pay within the above range is determined by job-related skills, experience, education, and geographic location. • With a focus on pay equity and ensuring opportunity for future salary progression, our typical practice is to hire within the first half of the base salary range for a given role and level. This approach allows us to reward performance and increasing expertise consistently as your career develops with us. • We use geographic pay tiers to reflect the pay differences in local markets:For the US: • For the US: • Tier 1: Applies to candidates within 50 miles of New York, San Francisco, San Jose, Seattle, Wash D.C., Boston • Tier 1: • Tier 2: Applies to candidates within 50 miles of Portland, Boulder, Austin, Denver, Chicago, San Diego, Miami, Houston, Dallas, Philadelphia, LA • Tier 2: • Tier 3: Everywhere else in the US • Tier 3: • For the UK: • Tier 1: Applies to candidates within 50 miles of London, Cambridge, Oxford • Tier 1: • Tier 2: Everywhere else in the UK • Tier 2: • For Canada: • Tier 1: Applies to candidates within 50 miles of Toronto & Vancouver • Tier 1: • Tier 2: Everywhere else in Canada • Tier 2: • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • Please Note: To ensure that candidates select the most relevant jobs for their skills, we have set up limits to the number of times candidates can apply. The following limits apply to all roles at SandboxAQ: • Candidates may not apply more than 5 times in any 60 days for any job • Candidates may not re-apply to the same role within 30 days if not presented with an offer • or drag and drop here • If relevant, please share your google scholar/ research page. • We're genuinely interested in your personal take here. While we appreciate AI for its efficiency, your authentic voice matters most to us. Please share your thoughts in your own words—two to four sentences is perfect. Our team personally reads and thoughtfully considers every response. • Decline to self-identify • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • Hispanic or Latino • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • White • Black or African American (Not Hispanic or Latino) - A person having origins in any of the Black racial groups of Africa. • Black or African American • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Native Hawaiian or Other Pacific Islander • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • Asian • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. • American Indian or Alaska Native • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races. • Two or More Races • Hispanic or Latino • White (Not Hispanic or Latino) • Black or African American (Not Hispanic or Latino) • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) • Asian (Not Hispanic or Latino) • American Indian or Alaska Native (Not Hispanic or Latino) • Two or More Races (Not Hispanic or Latino) • I identify as one or more of the classifications of protected veteran listed above • I am not a protected veteran
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