Cloud/Data Engineer, PangeAI

AI · London, Greater London
Department AI
Employment Type Full-Time Permanent
Minimum Experience Mid-level

Job description: Cloud / Data Engineer, PangeAI


Location:                            London or Berlin + Hybrid

Position:                             Full-time

Reporting to:                     Chief Technology & Informatics Officer

 

Description:


Pangea Botanica brings the platform business model of company building to nature-inspired drug discovery and development", with a higher likelihood of success and reduced timeline in developing new medicines for patients. We optimize our success rate and development time by focusing on nature-inspired compounds with prior evidence of safety and efficacy

 

Pangea has the ability to execute and deliver, with a scalable platform operating model and an experienced team

  • Founded in 2021, our decentralized platform already comprises four drug development operating companies targeting auto-immune, psychiatric, neurodegenerative and neurological indications, complemented by our proprietary PangeAITM discovery engine
  • Our team has a track record of building companies around natural products and biotech platforms, at COMPASS Pathways (Nasdaq: CMPS); GW Pharmaceuticals (acquired by Jazz Pharmaceuticals); and atai Life Sciences (Nasdaq: ATAI)

 

Pangea is committed to preserving ethnobotanical knowledge and habitats, supporting the communities from which our compounds are derived, and we are applying for B Corp certification.

 

We are currently building PangeAI, where we harness the power of  data and AI to  empower the scalable translation of nature’s metabolome into medicines. Our advanced AI-driven Natural Product discovery platform will assemble one of the world's largest datasets of natural products, and develop advanced AI in order to uncover novel compounds with possible therapeutic value at scale.

We are looking for a Cloud Data Engineer, who will be setting up a robust & versatile data platform on the AWS cloud platform, capable of scaling with the exponentially growing volume of data we will integrate overtime.


Roles and responsibilities


Responsibilities include (but are not limited to):

  • Design, develop & implement data processing workflows, ETL pipelines and storage infrastructure on AWS
  • Collaborate with the PangeAI team to implement data processing workflow using Big Data technologies such as Spark/Hadoop & design the database and data lake architecture
  • Coordinate data processing workflow development and deployment
  • Work with ML engineers to ensure continuous deployment of ML models on the PangeAI platform
  • Ongoing communication and presentation of results to diverse audiences, including project teams, R&D & portfolio companies, collaborators, etc
  • Use programming best practices, documentation, and design principles
  • Remain informed and up-to-date on new advancements in cloud technologies and assess them for potential integration

 

Requirements:


What is essential:

  • MSc in Computer science, Data Science or equivalent practical experience
  • Some years of work experience (post-graduation) with AWS in an industry-like environment
  • Strong experience in Python and an object oriented programming language like Java
  • Proficient in linux, bash, version control (git) and CI/CD
  • Experience with ETL, Data Modeling, Data Architecture and building data pipelines on AWS
  • Strong oral & written communication skills in English


What we also like in applicants:

  • Experience in optimizing ETL pipelines & tuning big data processes using Apache Spark or similar technologies
  • Strong skills in writing and optimizing SQL and using Big Data technologies such as Spark/Hadoop
  • Experience with Graph Databases and graph algorithms
  • Exposure to Knowledge Graphs and Semantic Web Technology Stack (RDF/SPARQL/OWL)
  • Practical experience in ML model training and deployment
  • Experience working with life science / biomedical data
  • Strong organizational, interpersonal, and communication skills;
  • Entrepreneurial mindset; a self-starter and self-driven person who is able to prioritize work activity and manage conflicting priorities in a fast paced, ever changing environment

 

This is an opportunity to join a fast-paced entrepreneurial environment, where you will have a significant influence on company strategy and performance.

The compensation package will include base salary, benefits and equity options, so you will get immediate exposure to and benefit from Pangea’s success. 


How to apply:

At this time, Pangea Botanica can only consider candidates who already have the right to work in the UK or Germany and are not able to provide visa sponsorship.


We aim to be an equal opportunities employer and we are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

 

 

Please note:  We are not accepting submissions from Recruitment Agencies for this position – any candidates submitted will not be accepted by or on behalf of Pangea Botanica

Thank You

Your application was submitted successfully.

  • Location
    London, Greater London
  • Department
    AI
  • Employment Type
    Full-Time Permanent
  • Minimum Experience
    Mid-level