Vector Space Biosciences AI Lab

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About
Vector Space Biosciences uses AI and Machine Learning for space biosciences research. Their AI lab focuses on biological language modeling, generative AI, protein sequence matching, vector databases, and advanced visualizations. This technology helps develop countermeasures against diseases related to spaceflight stressors. The company uses ensembled language models to create real-time datasets for signal detection and advanced decision-making, aiming to accelerate discoveries in biosciences and benefit humankind. They also apply their AI capabilities in finance.
Platform
Task
Features
• generative ai
• biological language modeling
• advanced visualizations
• protein sequence matching
• vector dbs
• prediction
• signal detection
• real-time datasets
Job Opportunities
Computational Biologist - Space Biosciences/Bioinformatics
Vector Space Biosciences leverages AI for space biosciences research, developing countermeasures for spaceflight-related diseases and utilizing real-time datasets for signal detection and advanced decision-making.
Education Requirements:
PhD in Statistics, Computer Science, Computational Biology, Bioinformatics, Bioengineering, or a related field
Masters in one of the above fields with 2+ years of experience in academia or industry
BS with 4+ years in academia or industry
Experience Requirements:
Experience in analysing and obtaining actionable insights from high throughput sequencing (HTS/NGS) data
Knowledge in experimental design and experience working with teams in designing experiments
Experience with language modeling, deep learning and related practical applications
Other Requirements:
Experience with at least one of the following: Microsoft Azure Space/SpaceX, Python, Linux command line, Bioinformatics
Experience with DNA repair pathway analysis
Knowledge of precision and personalized medicine, drug repurposing and repositioning, multiomics including nutrigenomics and epigenomics, CRISPR
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Experience working with companies and space agencies such as Virgin Galactic, SpaceX, Blue Origin, NASA Space Biosciences, ESA, JAXA et al
Knowledge of GCR (Galactic Cosmic Rays), HZE (High-energy and high-charge ions), Bragg peak and ‘track’ correlation analysis related to DNA repair pathways along with high/low LET (Linear Energy Transfer) radiation, telomere elongation/shortening, chromosomal translocations and dysregulated gene expression and additional multiomics research in connection to space biosciences.
Experience with software tools used in Space Biosciences e.g. NASA GeneLab, Unsupervised learning and experimental clustering, Bioinformatics toolsets
Radiation affecting the microenvironment
Exosomic cargo
Biochemical cascades
ECM and Brain ECM
Dynamic Reciprocity
TME (Tumor microenvironment)
Exosomes
DNA repair pathways, time to repair data and factors
Biomarkers which can be used to predict amount of time for DNA repair cycles to complete
Knowledge of key targets of particle damage correlated to type of particle and track:
Knowledge of key effects of particle damage correlated to type of particle and track:
NASA’s Human Research Roadmap (HRP), NASA GeneLab and Biospecimen Sharing Program (BSP)
Wetlab exposure
Side projects
Responsibilities:
Develop data analysis strategies, write algorithms, and deploy computational tools for the exploration of proteomics and single-cell datasets (scRNAseq, scATACseq, CITEseq)
Work with software engineering, data science, genomics, biochemistry, and proteomics teams on the development of novel platforms for extracting biological insight from experimental data at multiple spatial and temporal scales
Interact closely with scientists in discovery & translational research, understand their data manipulation and analysis needs, provide answers to technical questions through 1-on-1 communication, presentations, and written documents
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Artificial Intelligence/Machine Learning Engineer - Space Biosciences
Vector Space Biosciences leverages AI for space biosciences research, developing countermeasures for spaceflight-related diseases and utilizing real-time datasets for signal detection and advanced decision-making.
Experience Requirements:
3+ years of experience developing computational models building and deploying experimental or production-grade data pipelines
Strong Python fundamentals
Other Requirements:
Experience with at least one of the following: Microsoft Azure Space/SpaceX, Linux command line
Good basic understanding of NLP/NLU language modeling, ensemble methods in data engineering pipelines and correlation matrix datasets
Experience working with companies and space agencies such as Virgin Galactic, SpaceX, Blue Origin, NASA Space Biosciences, ESA, JAXA et al
Knowledge of GCR (Galactic Cosmic Rays), HZE (High-energy and high-charge ions), Bragg peak and ‘track’ correlation analysis related to DNA repair pathways along with high/low LET (Linear Energy Transfer) radiation, telomere elongation/shortening, chromosomal translocations and dysregulated gene expression and additional multiomics research in connection to space biosciences.
Knowledge of precision and personalized medicine, drug repurposing and repositioning, multiomics including nutrigenomics and epigenomics, CRISPR
Experience with: Computational Cognition, Computational Linguistics, Computational Neuroscience, Computational Biology, Bioinformatics, NASA GeneLab, Wetlab experience, Side projects
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR
Responsibilities:
Develop experimental and formal NLP/NLU language models that mimic portions of human cognition
Develop experimental and formal deep learning models that reach near human-level accuracy in mimicking the research process of molecular biologist
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Data Visualization & Interpretation - Space Biosciences
Vector Space Biosciences leverages AI for space biosciences research, developing countermeasures for spaceflight-related diseases and utilizing real-time datasets for signal detection and advanced decision-making.
Experience Requirements:
Deep domain expertise of data science, statistical analysis, and data visualization
Adept at interacting with JSON REST APIs with standard tools (e.g., Postman)
A generalist with working knowledge of data visualization libraries and packages used today: Python (SciPy/NumPy/pandas, Seaborn, Bokeh, etc.), R (ggplot2, grid), and JavaScript (D3.js, Vega, Plotly), etc.
Fluency with a Git/GitHub version control workflow
Other Requirements:
Strong Python fundamentals
Experience with at least one of the following: Microsoft Azure Space/SpaceX, Google Cloud Platform, AWS
Good basic understanding of servers
Biological data visualization
Graph Networks
Side projects
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR
Responsibilities:
Able to design/develop industry-leading data visualizations based on an understanding of common and more fine-grained data visualization/representation challenges, data problems, and eventually; relating to the use cases of our current/prospective customers.
Understands the tradeoffs between graphics paradigms and speaking multiple visualization grammars, and how they relate to the data we have and that we’re trying to represent.
In this role, you will lead data-driven decisionmaking with the team about which languages, frameworks, and libraries we should use to visualize customer data that is best matched to the twin challenges of exploratory data analysis and analytic presentation.
Cultivate your knowledge and ours, and help educate our team in your areas of expertise.
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