PANGAEA DATA Salary

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  London
MILLENIUM COURT SUITE 9 264 WATERLOO ROAD LONDON SE1 8RP UNITED KINGDOM
Rating of the company
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2 reviews in total

Earnings on positions in PANGAEA DATA

PANGAEA DATA is looking for employees for positions:

sales manager

Trade

  • sales
  • Sales

Responsibility

  • manage inbound sales inquiries and escalate to the appropriate stakeholder
  • compile content, data, and insights for sales presentations or customer meetings
  • assist with scheduling customer meetings
  • assist with managing relationships with key stakeholders across Science, IT, and Business levels
  • market research to create leads and sales opportunities
  • act with urgency, integrity and a focus on the customer
  • operate and manage the sales CRM system: ensuring all data is tracked, organized and up to date

Requirements

  • attentive, organized and detail oriented
  • strong interpersonal skills with a clear focus on being objective and task driven
  • strong written and verbal communication
  • previous data management and CRM experience
  • experience managing multiple priorities and deadlines
  • experience working in a customer-facing role with C-suite
  • experience managing multiple internal and external stakeholders
  • ability to work in a fast-paced young business

engineer

Trade

  • information Design & Documentation
  • Information Design & Documentation

Language

  • english

Working hours

  • full-time

Responsibility

  • communicating with the technical team, design team, clinicians and with customers to understand and formalise requirements
  • design, develop, test and maintain the technical development of interactive user interface and user experience design of our product
  • design, develop, test and maintain back-end modules including database and servers to support the relevant web services

Requirements

  • with university qualification who have completed at least three years of university study in Computer Science or related
  • nice to Have
  • experience in building commercial website and software systems
  • relevant work experience, including internships, full time industry experience or as a researcher in a lab
  • A software engineering background and basic knowledge of Machine Learning especially Natural Language Processing
  • knowledge of working in AWS, GCP, Azure
  • perks and Benefits
  • experience with full stack programming technology and familiar with major programming language and framework such as JavaScript, Python, databases, HTML, CSS, React, NodeJS and Django

researcher

Language

  • english

Responsibility

  • understand the problems, pain points, challenges and requests in the industry and academics in NLP/NLG
  • define research statement and write research plan and grant applications
  • research, design, develop and optimise novel cutting-edge NLP/NLG algorithms to address real-world challenges such as extraction, prediction and generation
  • monitor the impact of new research to determine if they achieved the goals set out for them at the start
  • publish origin research works on top conferences and journals
  • clearly communicate research plan with internal stakeholders and support colleagues on productisation
  • understand the high-level company vision and goals, and make sure these are reflected in ongoing research
  • as an NLP researcher, you will be involved in leadership, research direction decisions and coordination between teams that go into the above process

Requirements

  • with university research qualification or equivalent research experience in industry in Natural Language Processing, Machine Learning and Deep Learning
  • experience with deep learning, machine learning and NLP frameworks such as PyTorch , HuggingFace Transformer, Scikit-learn
  • experience with training and tuning of large language models
  • experience with working in Linux
  • experience with research communities and/or efforts, including having published papers at AI/ML/NLP/CV conferences and/or biomedical journals
  • experience on general programming languages: Python, C++, Java, etc

full stack developer

Working hours

  • full-time
  • full-time | Permanent

Language

  • english

Benefits

  • profit sharing

Salary

  • salary

Responsibility

  • communicating with the technical team, design team, clinicians and with customers to understand and formalise requirements
  • communicating with the research, production, design teams, clinicians and with customers to understand and formalise requirements
  • design, develop, test and maintain the technical development of interactive user interface and user experience design of our product
  • design, develop, test and maintain interactive user interface and user experience design of our product
  • design, develop, test and maintain back-end modules including database and servers to support the relevant web services

Requirements

  • with university qualification who have completed at least three years of university study in Computer Science or related
  • experience in web UI design and front-end development and back-end development, UI and UX design
  • nice to Have
  • experience in building commercial website and software systems
  • relevant work experience, including internships, full time industry experience or as a researcher in a lab
  • A software engineering background and basic knowledge of Machine Learning especially Natural Language Processing
  • knowledge of working in AWS, GCP, Azure
  • with university qualification who have completed at least three years of university study in Computer Science, Medical Informatics or related

project manager

Working hours

  • full-time

Language

  • english

Responsibility

  • clearly communicate the client requirements to the technical team and communicate the product features to the clients
  • collaborate with the technical team and manage client projects with clear timelines
  • run early rounds of internal feedback gathering, before we launch to users
  • understand the high-level company vision and goals, and make sure these are reflected in ongoing project management and client communication
  • understand the clients in life science they engage with and the problems, pain points and requests they are seeing
  • collaborate with internal stakeholders to prepare materials including presentations, grant applications, posters, research papers and other publications

Requirements

  • relevant work experience, including internships, full time industry/academia experience as a project manager
  • experience in biopharmaceutical/healthcare industry, research and technology
  • strong writing and communication skills
  • nice to Have
  • knowledge or experience in AI, NLP
  • with university qualification who have completed at least two years of university study in Life Science, Biomedical Informatics, Computer Science, Engineering or related
  • perks and Benefits
  • flexible working hours

marketing executive

Working hours

  • full-time | Permanent

Benefits

  • profit sharing

Language

  • english

Salary

  • salary

Education

  • bachelor's

Requirements

  • university degree
  • background in healthcare/ life sciences/ pharmaceuticals is highly preferred
  • proactive and highly detailed oriented
  • experience simultaneously handling multiple priorities and projects
  • excellent communication skills
  • background in healthcare/ life sciences/ pharmaceuticals/ ML/ AI is a big plus
  • some experience in digital marketing is a plus
  • CRM experience

biomedical scientist

Responsibility

  • you will translate scientific research and concepts into presentations, whitepapers, publications, and posters, as well as managing ongoing projects
  • your scientific and clinical understanding of project objectives will additionally help support product configuration
  • as a Biomedical Scientist, you will play a pivotal role in bridging clinical and technical teams, with a focus on undiagnosed patients, precision medicine and opportunities to leverage knowledge and experience in Medical Genetics/Genomics
  • project Management & Deliverables: Lead the creation of project-specific deliverables, including presentations, whitepapers, and documentation, tailored to customer needs
  • this is an external-facing role, where your primary responsibilities will be to research and produce deliverables focusing on the leveraging of EHR data to discover more untreated patients across rare and hard-to-diagnose conditions, ultimately improving healthcare outcomes
  • scientific Writing & Publication: Utilize your scientific and clinical expertise to produce high-quality written content for peer-reviewed journals and other publications
  • output Validation & Feedback: Validate project outputs, conduct error analysis, and provide constructive feedback to improve performance
  • while technical expertise in machine learning and predictive modeling is not required, it is critical that you develop a strong understanding of the methods used and how they align with each project’s clinical and scientific objectives

Requirements

  • relevant work experience, including internships, industry or academia experience
  • deep knowledge of Life Sciences, Medicine, or Biomedicine enabling you to translate client needs into effective product solutions and delivery
  • proven ability in scientific writing or contributing to published scientific articles
  • confidence and clarity in communicating with customers, clinicians and scientists
  • bachelors, Masters, or Doctorate degree with at least two years of university study in Life Science, Medicine, Biomedical Informatics, Genetic Counseling or related fields
  • familiarity with both common and rare diseases and an understanding of the patient journey

test engineer

Language

  • english

Responsibility

  • performing best practices and software testing standards, defect management & reporting, testing concepts and test management tools
  • setting up new and robust pipelines and processes when necessary
  • performing all aspects of testing including writing test planning documentation, executing testing tasks, analyzing test results and documenting defects
  • tracking issues, managing priorities of them, and fixing them collaboratively with relevant stakeholders
  • developing test plans and test strategies, and experience designing based on high-level requirements or use cases
  • strong understanding of quality practices and ability to apply proven QA techniques including requirement traceability, boundary value analysis and application stability/usability
  • influencing constructively and positively to the team on the best practices of development and quality assurance

Requirements

  • work experience in testing and quality assurance and relevant tools like Azure DevOps and GitHub Actions
  • work experience in CI/CD and the setup of relevant pipeline and processes
  • work experience with working in Linux and Microsoft Azure
  • with university qualification who have completed at least two years of university study in Computer Science, Informatics, Engineering or related
  • work experience on general programming languages: Python, Shell, C++, Java, etc

clinical scientist

Responsibility

  • communicate and collaborate with customers to understand their needs and painpoints
  • analyze clinical/biomedical data from clients and partners to gain insights to support NLP algorithm design
  • analyze data output of algorithms and products and provide feedback to improve their clinical validity, interpretability, and generalizability
  • design and develop internal tools to automate collection of clinical feedback for algorithms and products
  • run early rounds of internal feedback gathering, before launching to users
  • review clinically relevant documents (e.g
  • communicate with internal stakeholders about clinical objectives, algorithm design and clinical feedback
  • understand the high-level company vision and goals, and make sure these are reflected in ongoing algorithm design, clinical feedback collection, and client communication

Education

  • appropriate certification relevant to level of clinical training
  • strong writing and presentation skills
  • medical degree is preferred. Other types of advanced clinical training will also be considered