Vector Space Biosciences AI Lab

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

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

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.