Bioinformatics Research Engineer @ SandboxAQ
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About SandboxAQ
SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. It builds Large Quantitative Models (LQMs) powering advances in life sciences, financial services, navigation, cybersecurity, and more. The company emerged from Alphabet Inc. in 2022 as a growth capital-backed independent entity, supported by top investors and industry leaders.
About the Role
In the role of Bioinformatics Research Engineer, you will join SandboxAQ’s AI Simulation team to develop innovative computational biology and bioinformatics tools. You will work with interdisciplinary experts to create cutting-edge solutions that integrate machine learning, knowledge graphs, genetic sequencing, and physics-based simulations.
What You'll Do
- Drive development of computational biology and bioinformatics tooling for drug discovery.
- Identify data sources, perform data ingestion, quality control, and validation.
- Contribute to research in target ID, biomarker ID, patient stratification, and toxicity prediction.
- Implement novel bioinformatics and deep learning algorithms for genetic analysis.
- Present findings to clients, scientists, and non-technical team members.
- Write patents, journal articles, and whitepapers and speak at conferences.
- Collaborate with external partners to drive research partnerships forward.
- Improve drug discovery and development on a large, societal scale.
Who You Are
- PhD in bioinformatics, computational biology, computer science, statistics or similar.
- 1-5 years of industry experience in bioinformatics, computational biology, ML, or knowledge graphs.
- Proficient with Python toolkits such as pandas, numpy, scipy, scikit-learn, and pytorch.
- Experienced in secondary and tertiary analysis of sequencing data (DNA, RNA-seq, etc.).
- Skilled with bioinformatics pipelines and tools like BWA, GATK, Samtools, and Nextflow.
- Familiar with high-performance computing environments including GPU setups.
- Strong collaborative skills with a hands-on mentality for solving complex problems.
Nice to Have
- Experience with cloud platforms (GCP, AWS) for data processing and storage.
- Expertise in epigenomics, proteomics, or transcriptomics analyses.
- Knowledge of genomic databases like 1000 Genomes, UK Biobank, GTEx, and TCGA.
- Experience in computational immunology and related bioinformatics workflows.
- Strong publication record and willingness to travel (<25%) for conferences and meetings.
Compensation & Benefits
The US base salary range for this full-time role is $154k - $215k per year. Additional benefits include annual bonuses, equity, competitive salaries, stock options, extensive learning opportunities, comprehensive medical/dental/vision coverage, PTO, 401(k) plans, and more.
Equal Employment Opportunity
SandboxAQ is committed to creating an inclusive culture with zero tolerance for discrimination and supports the personal and professional growth of all employees.
Key skills/competency
- Bioinformatics
- Computational Biology
- Machine Learning
- Data Ingestion
- Deep Learning
- Genetic Sequencing
- Python
- Drug Discovery
- High-Performance Computing
- Research
How to Get Hired at SandboxAQ
🎯 Tips for Getting Hired
- Research SandboxAQ's culture: Understand their mission, values, and news.
- Customize your resume: Highlight bioinformatics and ML expertise.
- Showcase relevant projects: Emphasize computational biology experience.
- Prepare technical insights: Be ready to discuss data and algorithms.
- Network strategically: Connect with current employees on LinkedIn.