Job Openings

DeepLab is a startup working on custom machine learning solutions for enterprises applying state-of-the-art AI and machine learning technologies. It consists of a group of visionary enthusiasts engineers holding a PhD in machine learning with more than 10 years research and working experience. Specifically we design and develop solutions employing machine learning in a broad spectrum of problems: computer vision, natural language processing, speech recognition, recommendation systems and more.

This call is addressed to candidates with a strong desire to work with new machine learning technologies, such as deep learning, and to be part of the emerging technological and scientific trends: employing huge amounts of data, conducting beyond-state-of-the-art research and development, employing methods and tools at the scientific and technological frontiers. Deeplab calls for outstanding candidates, experienced and/or highly enthusiastic, engineers or not, who would like to face challenging tasks, developing applied research and technology in an international environment, and in collaboration with big academic and industrial players.

 

Senior Bioinformatics Data Scientist

 

Job description

We seek outstanding and experienced candidates who would like to face challenging tasks, developing applied research and technology in an international environment to build our deep-learning powered bioinformatics sub-group. We envision this group to conduct disruptive R&D in collaboration with big academic and/or industrial collaborators. We seek enthusiastic candidates for integrating, and analysing multi-omics biomedical data to develop biological insights and to design the respective end-to-end machine learning powered pipelines/models. Machine learning (ML)/deep-learning (DL) algorithms have recently revolutionized, beyond others, the pharma research and industry too, by advancing the analysis and modeling of biomedical data. Tasks of interest span a wide range of applications as 1. single-cell multi-omics analysis and data integration, 2. drug discovery and virtual screening, as well as 3. exploring new directions e.g. in epigenetics. Our goal is to collaborate with experts and stakeholders worldwide and further leverage the advantages of DL to improve diagnostics, identify novel treatments, and offer clinical insights into both disease and wellness, contributing a substantial added value with health impact in the society.        

Responsibilities

  1. R&D lead: Leading from the biological and bioinformatics aspects the R&D development and planning to run with success projects both intra-deeplab and with external partners/clients. R&D scientific planning for the exploration of new projects. Current required topics are a. single-cell omics, b. virtual screening for drug discovery.
  2. Excellence in biology understanding: Deep understanding of biology fundamentals, in addition to the more specific fields of expertease, in order to be able to design solutions and validate their scientific proofness for a variety of biomedical use cases and further contributing with this knowledge in formulating solutions in machine learning terms.
  3. ML: Designing and developing within a group of ML experts machine learning, deep learning pipelines and systems that are built to consume and analyse biomedical data, and then deal with clustering, classification and regression problems with large scale experimental benchmarking in multiple datasets.
  4. Insights in data analysis: Managing, preprocessing/processing, integrating and analysing large biomedical datasets for biological insights and deep understanding.
  5. Business-lead: Business development and exploitation of pipelines, products or algorithms that already provide valuable outputs and results as in Drug Discovery. Research to explore and develop new research and business opportunities.
  6. Manage: Managing a small-scale cross-functional team that brings together the best-in-class intra-deeplab and external collaborators in informatics, AI, Engineering, to tackle the scientific challenges Deeplab is looking to find solutions for.

Requirements

  1. A PhD in bioinformatics, computational biology or related field of research. Good to have a background in a Biology related field or many years of related expertise.
  2. Experience with proven track record on designing and implementing bioinformatics machine learning systems in biomedical applications (industrial or other large scale); solid background knowledge and deep understanding of biology and biomedical areas. It's good to have understanding of ML algorithms, of DL fundamentals and to be up to date with recent DL advancements, especially related to the fields of interest.
  3. 3-5+ working (good to have industrial) experience on integrating and analysing large and popular/recent ‘omics/biomedical datasets to directly support single-cell, or drug discovery activities; hands-on experience in processing large scale genomic datasets, such as transcriptomic, proteomic or epigenomic data.
  4. Expertise/experience in primary biological interpretation based on the integration of biomedical datasets.
  5. Programing ability in language packages that support Bioinformatic, Data Science and Machine Learning code and pipelines such as Python, PyTorch, numpy, scipy etc.
  6. Experience with databases and other technologies we like such as: Github, Jupyter. Good to have experience in: BigQuery, ElasticSearch, MySQL, MongoDB, Spark, Kubernetes, AWS/GCP.
  7. Leading and management skills; strong communication skills to communicate presentations of complex analyses in a clear, concise and actionable manner.
  8. Excellent written and oral communication skills and ability to build strong relationships in a challenging international environment.

Benefits

  1. Supplementary private health insurance.
  2. Work with bright research ML engineers team members and collaborators around the world.
  3. Working in high-end AI-tech and having an impact in real-word applications.
  4. Fresh culture mixing academic and start-up values.
  5. Newly designed inspirational and fresh working environment at our new offices.
  6. Flexible working hours and remote work from home.
  7. Competitive salary depending on qualifications, expertise and experience.
Where Athens or Heraklion, Greece. If you are interested please apply here    

Senior Machine Learning Engineer

Job description

This is a chance for you to get in on the ground floor of an exciting fast growing AI & deep-learning start-up; we seek outstanding and enthusiastic candidates with an exceptional record to join our team. We seek self motivated candidates, who share with us the passion for challenging problem-solving applied to tough industrial and research problems. You’ll find yourself in a fast growing AI company building tremendous opportunities to further develop yourself and Deeplab. You will work with cross functional teams both intra-deeplab and external teams/collaborators, building all together disruptive projects from research and ideation to productisation. Candidates should have a strong machine learning background and in-depth understanding and hands-on practical/industrial experience with at least one relative application dealing with real-world data and focused experience in machine learning applications such as computer vision, natural language processing, speech recognition, recommendation systems.          

Responsibilities

  1. Designing and developing machine learning systems
  2. Batch experimental benchmarking in datasets
  3. Statistical modeling and data analytics
  4. Deep learning applied on classification, recognition and/ or forecasting tasks.
  5. Managing a cross-functional team that brings together the best in class Informatics, AI, Engineering to tackle the scientific challenges Deeplab is looking to find solutions for.

Requirements

  1. MSc (Electrical & Comp. Eng., Machine Learning, CS), and outstanding experience on implementing machine learning systems in industrial and/or large scale R&D applications.  Nice to have: PhD; Publications in major scientific conferences journals, patents or other public/ internal industrial reports as evidence of major contributions.
  2. 3-5+ years industrial  experience working on real- world data.
  3. Strong programming skills in language packages that support Data Science and Machine Learning code and pipelines such as Python, Tensorflow, PyTorch, numpy, scipy etc.
  4. Experience with databases and other technologies we like such as: Github, Jupyter. Good to have experience in: BigQuery, ElasticSearch, MySQL, MongoDB, Spark, Kubernetes, AWS/GCP.
  5. Leading and management skills; strong communication skills to communicate presentations of complex analyses in a clear, concise and actionable manner.
  6. Excellent written and oral communication skills and ability to build strong relationships in a challenging international environment.

Benefits

  1. Supplementary private health insurance.
  2. Work with bright research ML engineers team members and collaborators around the world.
  3. Working in high-end AI-tech and having an impact in real-word applications.
  4. Fresh culture mixing academic and start-up values.
  5. Newly designed inspirational and fresh working environment at our new offices.
  6. Flexible working hours and remote work from home.
  7. Competitive salary depending on qualifications, expertise and experience.
 

Where

Athens or Heraklion, Greece. If you are interested please apply here