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.

Experience Requirements:

• 2-4 years of experience building and deploying 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 with a data orchestration tool (Dagster, Airflow)

• Experience in CI/CD, DevOps

• Experience in API engineering

• Experience mentoring junior engineers

• Basic experience with training of machine learning models and archiving of artifacts

• Side projects

• Technical blog

• 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:

• As a mid-level Data Engineer you will be responsible for improving the architecture of a general-purpose data pipeline used to do ETL of various data sources: crawled web pages, various APIs, PDFs, text files, etc.

• You will build, maintain, scale and support existing data pipelines and deploy them on a Cloud Service Provider.

• You will ensure the proper storing of the raw and processed data.

• You will set up monitoring for this pipeline, re-run on failure and update the pipeline with improvements without disrupting ongoing operations.

• You will integrate this pipeline to feed data to our machine learning / language models and archive the model's artifacts (weights, hyperparameters, model training code versions) at each run, as well as load these artifacts into an API server. You will have the opportunity to learn more about NLP / NLU language models and how to train and evaluate them.

Experience Requirements:

• 1-4 years of experience training and evaluating a variety of language models and deploying them to production

• Strong machine learning fundamentals and Python skills

• Proficiency in at least one machine learning library like pytorch, tensorflow, keras, fastai, etc

Other Requirements:

• scientific mindset and interest in research and development

• Experience in MLOps / the deployment and serving of models

• Experience in experiment tracking tools e.g. Weights & Biases

• Actual NLP / NLU research experience (published papers, experiments)

• Experience in web crawling, pulling data from APIs, and processing different filetypes

• Experience mentoring junior NLP / NLU practitioners

• Side projects

• Techinical blog

• 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:

• As a mid-level NLP / NLU Engineer you will be responsible for the training and evaluation of the language models we use to find hidden relationships in proprietary and public data which we may obtain through our partners or crawl from websites, APIs, and files.

• You will examine data thoroughly to find out how it is best to clean, normalize and/or preprocess and create stop words lists.

• You will research about model architectures and choose the right ones through experimentation.

• You will train and optimize these models, logging the hyperparameters, metrics and performance of each run.

• You will be asked to experiment on ensembles of language models, optimizing for the business-specific metric our partners care about. For example, for financial institutions this would be the Sharpe or Sortino ratio.

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field

Experience Requirements:

• 2 years of professional experience in data science or a related field

Other Requirements:

• Proficiency in programming languages such as Python, R, or Scala

• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn

• Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib

• Strong understanding of statistical modeling, data mining, and machine learning techniques

• Excellent problem-solving skills, attention to detail, and ability to work on multiple projects simultaneously

• Strong communication skills, both written and verbal

• Experience with big data technologies like Hadoop, Spark, or Hive is a plus

Responsibilities:

• Analyzing and interpreting complex data to identify trends, patterns, and insights

• Developing, validating, and implementing predictive models and algorithms

• Collaborating with business units to understand their needs and provide data-driven solutions

• Communicating findings through visualizations and presentations to both technical and non-technical stakeholders

• Maintaining and improving existing data pipelines and tools

Education Requirements:

• Bachelor’s or master’s degree in Computer Science or related field

Other Requirements:

• Computer Science and Software Development skills

• Back-End Web Development skills

• Strong knowledge of programming languages such as Java, C++, and Python

• Experience with Object-Oriented Programming (OOP) concepts and design patterns

• Experience with agile software development methodologies

• Excellent problem-solving and analytical skills

• Experience with Machine Learning and Artificial Intelligence is a plus

Responsibilities:

• Designing, developing, and maintaining back-end web applications

Other Requirements:

• Experience in CI/CD, Docker, Kubernetes and Cloud platforms

• Strong in Python, C/C++, HTML/CSS and Javascript

• Knowledge of relational databases (e.g. PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB)

• Strong understanding of data structures and algorithms

• Analytical mind with problem-solving aptitude

• Ability to work independently

• Excellent organizational and leadership skills

Responsibilities:

• Develop high-quality software design and architecture

• Identify, prioritize and execute tasks in the software development life cycle

• Develop tools and applications by producing clean, efficient code

• Automate tasks through appropriate tools and scripting

• Review and debug code

Benefits:

• Work in a professional startup environment with creative, and growth-oriented minds

• Work with a team of two experienced developers helping each other improve their skills

• Competitive salary

• Focus on stable and ambitious customers with a long horizon

• Flexible work hours: from home or at our well-equipped office at the heart of Prenzlauer Berg

Experience Requirements:

• Prior experience working with Django, Python, Vue (or React), Postgres, or similar technologies

• Experience designing, implementing, deploying, and operating robust and scalable data-driven systems

• Enjoy the challenge of owning the end-to-end software development process – from ideation, design, and implementation to deployment and maintenance

• Are invigorated by the thought of diagnosing system performance issues, and bringing innovative software solutions to life

• Skilled at producing comprehensive documentation and/or written descriptions of your ideas

Other Requirements:

• Bonus points if you have experience with Pytorch, pandas

Responsibilities:

• Collaborate with a team of software engineers to understand the needs of our clients and build the core components of our short-term rental price optimization service

• Work across multiple layers of our tech stack, using Django, Python, Vue, Docker, Postgres, and Grafana to develop a robust, scalable service that supports dynamic rental price optimization

• Develop tools for monitoring and analyzing system performance, utilizing Grafana for clear and insightful visualizations

• Debugging, logging, tracing, and metrics are crucial components of our system, and you’ll have the chance to delve into all of them

• Write code primarily in Python and Django, and implement front-end components in HTML, CSS, and JS (Vue). Write code with confidence, collaborating with the team to create and maintain continuous builds, tests, debugging tools, and a constructive code review process

Experience Requirements:

• 7+ years of experience in product marketing, with significant experience in enterprise or government sectors.

• Proven success in educating markets on complex, technical products, preferably in cybersecurity, data management, or related industries.

• Deep experience working with large enterprise, financial services, and government customers

• Strong experience in developing marketing collateral from scratch, driving product messaging, and creating sales tools for use by both internal teams and external partners.

• Experience working closely with press and industry media, building narratives and generating coverage. Proven ability to drive pricing and packaging discussions from inception through to market launch. Exceptional communication skills, both written and verbal, with a demonstrated ability to translate complex technical concepts into compelling messages. A self-starter with the ability to build from the ground up, and a passion for educating and influencing market perceptions. Based in the Seattle, WA areaUS citizen

Other Requirements:

• Creative Builder

• Enterprise Experience

• Security-First Mindset

• Ability to Execute as an Individual While Also Leading

• Collaborative Partner

Responsibilities:

• Drive Awareness & Lead Messaging

• Collateral Development

• Press & Media Relations

• Value Proposition Creation

• Pricing & Packaging Strategy

Benefits:

• A high-impact role in an emerging industry leader

• Competitive compensation and equity

• Employer-sponsored medical

• Dental and vision insurance (dependent on location)

• Open Vacation policy: take time off when you need it

Education Requirements:

• Electrical Engineering Degree (or equivalent)

Experience Requirements:

• 4-8 years experience in hardware development, including strong experience with ARM and other modern MCUs

Other Requirements:

• A system thinker that can define and guide a platform design

• Hands-on experience with bring up and troubleshooting boards and systems

• Low-cost and/or low-power portable consumer electronics design experience integrating video

• MCU interfaces, Bluetooth, WiFi, and USB sub-systems in a space-constrained product

• In-depth understanding of safety EMI and EMC compliance and certification

• Design experience with batteries, power management, and, power conversion

• Ability to work cross‐functionally. Strong interpersonal and communication skills

• Results and deadline-driven

• Able to work independently with little direction and multi‐taskConsummate team player

• Takes great pride and ownership in designs

Responsibilities:

• Architect and design low-cost, low-power wireless sensors

• Make tradeoffs with members of the mechanical and Firmware/ Software Engineering teams

• Investigate, study, and introduce new components

• Schematic capture and layout design

• Develop high-volume products that are designed for manufacturability

Responsibilities:

• Amp up and streamline our bug reporting tool

• Make life easier for developers globally

Responsibilities:

• Enhance our AI-first support platform

• Revolutionize user experiences worldwide

Responsibilities:

• Supercharge our global growth

Responsibilities:

• Enhance our AI-first support platform

• Drive success across global user experiences

Experience Requirements:

• Proven work experience as a Sales Representative

Other Requirements:

• Familiarity with Hubspot practices

• Ability to build productive business professional relationships

• Highly motivated and target driven with a proven track record in sales

• Excellent selling, negotiation and communication skills

• Ability to create and deliver presentations tailored to the audience needs

• Relationship management skills and openness to feedback

Responsibilities:

• Serving customers by selling products and meeting customer needs

• Servicing existing accounts, obtaining orders, and establishing new accounts

• Adjusting content of sales presentations

• Focusing sales efforts by studying existing and potential volume of dealers

• Submitting orders by referring to price lists and product literature

Education Requirements:

• Bachelor’s degree in computer science or equivalent in related technical experience

Experience Requirements:

• Hands on experience in building large-scale data architecture systems

• Hands on experience managing people and distributed teams

• Excellent programming with Python or C#

• Abundant knowledge on large scale distributed systems

• Experience with a modern deep learning framework such as PyTorch or Tensorflow is a plus

Responsibilities:

• Provide technical leadership and direction for software engineer and AI engineer teams

• Design and build modern enterprise data architectures and data abstraction service layers

• Design and build cloud applications with high security, high transaction rate and high availability

• Design and build test harnesses to evaluate product progress and accuracy

• Work with customers to clarify requirements and deliver business solutions Design and build sophisticated machine learning automated test harnesses Write system specification documents such as Concept of Operations (CONOPS), system level requirements, and Interface Control Documents (ICD) for complex systems Present at weekly demos and various sessions Build things

Experience Requirements:

• Hands on experience with Azure cloud implementation and deployments

• Hands on experience with at least one programming language such as Python, C#, or Java

• Experience with modern CI/CD tools such as GitLab, Jenkins or Azure DevOps

• Azure Administrator, Azure Solutions Architect, Azure Developer, or Azure DevOps Engineer Certification is a big plus

Responsibilities:

• Implement and modernize cloud applications and technical solutions using the combination of Azure IaaS, PaaS, serverless services, or microservices patterns

• Design, develop, test, and debug Azure cloud solution components

• Build and manage container apps using products like AKS, Kubernetes, and Docker

• Develop automation for deployment, management, and administration processes

• Design, develop and implement data collection, transformation, and data integration solution for analytics Present at weekly demos and various sessions Build things

Education Requirements:

• Bachelor’s degree in artificial intelligence, math, statistics, physics, economics, computer science, or equivalent in related technical experience

Experience Requirements:

• Current knowledge of deep learning concepts (e.g. transformer models, data parallelism, model parallelism)

• Coding proficiency in at least one modern deep learning framework such as PyTorch or Tensorflow

• Hands-on programming experience with Python

• Experience with hardware accelerators (e.g. GPU) is a plus

• Experience in optimizing deep learning training and inference is a plus

Responsibilities:

• Learn new domains and problems

• Experiment with models and data

• Collaborate with other experts

• Develop reference and production implementation of models and pipelines

• Present at weekly demos and various sessions Support production engineering teams and develop automated tests Build things

Experience Requirements:

• 3-5 years of product management. Experience in Fintech - a big advantage.

• Superb communication skills - a great talker, writer and even a better listener.

• High attention to details and never forgetting a task - ‘set it and forget it’ level trust.

• Easy to work with - a must.

• Smart and down to earth - a must. No big egos here. Can-do attitude, positivity, and full accountability mindset

Responsibilities:

• Develop the product strategy together with the leadership team.

• Work with enterprise customers to identify needs and map them to the overall product roadmap.

• Work closely with the development team and be responsible and accountable for product releases.

• Be the domain expert, mastering both the customer needs and the product capabilities