We are growing!

FDNA is a young and dynamic company at the leading edge of technology and science.

We at FDNA are looking for people that are mission driven, passionate and want to make a real impact in the world.

Check out bellow our vacancies or send your resume and CV to jobs@fdna.com

• Job Title
  Location
• Senior AI Engineer
  Remote

  About the Company

   

  Imagine a world where every person’s genome serves as their medical record to guide health decisions. We’re well on our way—genomic analysis is becoming the clinical standard in diagnostic evaluations, and artificial intelligence is the cornerstone of technologies that enable it.

   

  In FDNA, we work on the early detection of rare diseases with the help of AI technology. FDNA's technology is used by 70% of the world’s geneticists across 2,000 clinical sites in over 130 countries; our next-generation phenotyping (NGP) technologies capture, structure and analyze complex human physiological data to produce actionable genomic insights.

  
  FDNA is part of Nacre Capital, a leading global venture builder, and is seeking a qualified Senior AI Engineer to advance the FDNA core technology.

   

  We are seeking experienced candidates, with skills in the field of machine learning, computer vision and pattern recognition with experience to join our AI team. The main goal will be the production-grade deployment of deep learning image processing pipelines mostly focussed on face. The successful candidate will take ownership of our production pipelines and will work closely with AI Researchers and Data Engineers to design, develop, and deploy machine learning models and deep learning pipelines.

   

  Responsibilities

  • Adapt, implement and integrate AI algorithms and solutions from POC to production
  • Build MLops automatic solutions for training, evaluating and deploying ML pipelines
  • Support and extend data management platform and ETLs
  • Design and develop model tests and statistical verification and assessment
  • Log and document extensively the code and experiments

  Requirements

  • Proven experience of 3+ years as an ML Engineer / Researcher or similar role
  • Experienced in developing image / video processing and computer vision solutions 
  • Understanding of data structures, data modeling, and software architecture
  • Vast experience with system and cloud environments (Linux, Bash, Docker, Git, AWS/GCP, Kubernetes, Microservices)
  • Familiarity with common ML / DL Python frameworks (Scikit-Learn, Scipy, Matplotlib, TensorFlow / Keras or PyTorch etc.)
  • Excellent communication and presentation skills
  • Outstanding technological problem-solving skills
  • BSc in Computer Science / Engineering, Mathematics or similar field
  • Databases (SQL / Mongo / Redis / ELK)

  Plus

  • Basic networking / message passing knowledge (Beanstalk / ZMQ / RabbitMQ etc.)
  • Experience in Matlab and C/C++

   

  FDNA is a fast growing and diverse, international team. We are a remote-first company offering competitive salaries and looking for extraordinary people.

• Senior AI Researcher
  Remote

  About the Company

   

  Imagine a world where every person’s genome serves as their medical record to guide health decisions. We’re well on our way—genomic analysis is becoming the clinical standard in diagnostic evaluations, and artificial intelligence is the cornerstone of technologies that enable it.

   

  In FDNA, we work on the early detection of rare diseases with the help of AI technology. FDNA's technology is used by 70% of the world’s geneticists across 2,000 clinical sites in over 130 countries; our next-generation phenotyping (NGP) technologies capture, structure and analyze complex human physiological data to produce actionable genomic insights.

  
  FDNA is a portfolio company of Nacre Capital, a leading global venture builder, and is seeking a qualified Senior AI Researcher to advance the FDNA core technology.

   

  We are seeking experienced candidates, with skills in the field of machine learning, computer vision and pattern recognition with experience to join our AI team. The main goal will be the production-grade deployment of deep learning image processing pipelines mostly focussed on face. The successful candidate will take ownership of our production pipelines and will work closely with AI Researchers and Data Engineers to design, develop, and deploy machine learning models and deep learning pipelines.

  Responsibilities

  • Design, adapt and implement ML / DL pipelines and classic algorithms starting from a POC to a working prototype
  • Design, perform and evaluate experiments to answer business questions
  • Design and develop model tests and statistical verification
  • Implement data processing pipelines
  • Log and document extensively POCs and experiments
  • Plan and lead a long term research activity
  • Identify opportunities for innovation and improvement in our processes and technologies

   Requirements

  • Proven track record of developing image/video processing and computer vision solutions
  • Proven experience as a machine learning engineer / researcher or similar role
  • Proficiency with common ML python frameworks (scikit-learn, scipy, matplotlib, TensorFlow / Keras or PyTorch, DVC, mlflow etc.)
  • Understanding of data structures, data modeling, and software architecture
  • Ability to write clean and robust code 
  • Excellent communication and presentation skills (English)
  • MSc/PhD in Computer Science / Engineering, Mathematics or similar field; Candidates holding a BSc degree with an equivalent industrial experience can fit as well

   Plus

  • Experience with deploying ML / DL solutions in production
  • Experience with containers (Docker and kubernetes)
  • Databases (SQL / Mongo / Redis / ELK)
  • Basic networking / message passing knowledge (Beanstalk / ZMQ / RabbitMQ etc.)
  • Familiarity with common cloud platforms (GCP / AWS / Azure) 
  • Experience with CI/CD tools (Jenkins, git pipes, Screwdriver, Spinnaker) 
  • Experience and knowledge in NLP
  • Track record of publications in a top-tier AI conferences / journals

   

  FDNA is a fast growing and diverse, international team. We are a remote-first company offering competitive salaries and looking for extraordinary people.

• Backend Data Engineer
  Remote

  About the Company

  Imagine a world where every person’s genome serves as their medical record to guide health decisions. We’re well on our way—genomic analysis is becoming the clinical standard in diagnostic evaluations, and artificial intelligence is the cornerstone of technologies that enable it.

  In FDNA, we work on the early detection of rare diseases with the help of AI technology. FDNA's technology is used by 70% of the world’s geneticists across 2,000 clinical sites in over 130 countries; our next-generation phenotyping (NGP) technologies capture, structure and analyze complex human physiological data to produce actionable genomic insights.

  FDNA is part of Nacre Capital, a leading global venture builder, and is seeking a qualified Backend Data Engineer to advance the FDNA core technology. This role involves organizing and structuring large amounts of data while designing tools to efficiently clean and prepare the data for our experienced data science team.

   

  Responsibilities

  • Improve existing data warehouse
  • Work with Scientific Data Team to design data curation procedures and ETLs
  • Work closely with AI researchers to prepare data for their requirements
  • Plan the collection and processing of data based on business requirements
  • Build datasets in order to fulfill QA needs, algorithm- training needs and avoid biases
  • Assure the quality of data annotation
  • Manage the storage and protection of data

   

  Requirements

  • Experience of at least one scripting language (preferably Python)
  • Experience with building or maintaining data management systems
  • Experience with annotations for computer vision solutions
  • Bachelor's degree in science related field (Master's/phd degree preferred)
  • Strong leadership and communication skills
  • Project management skills
  • Analytically minded
  • High- level of English

   

  Plus

  • Basic networking / message passing knowledge (Beanstalk / ZMQ / RabbitMQ etc.)
  • Experience in Matlab and C/C++
  • Php Laravel e Angular

   

  Location

  Remotely, any time zone between GMT-1 to GMT+3

  If you are curious, courageous, capable, and caring, you are the right person for this job.

  Please e-mail Jessica (jessica@nacrecapital.com) directly to apply.

• Backend Data Engineer
  Remote

  Sobre a Empresa

  Imagine um mundo em que o genoma de cada pessoa funcione como o seu registo médico para orientar decisões de saúde. Estamos bem encaminhados – a análise genómica está a tornar-se o padrão clínico em avaliações diagnósticas, e a inteligência artificial é o pilar das tecnologias que o possibilitam.

  Na FDNA, trabalhamos na deteção precoce de doenças raras com o auxílio da tecnologia de IA. A tecnologia da FDNA é usada por 70% dos geneticistas a nível mundial em 2.000 locais clínicos, distribuídos por mais de 130 países; as nossas tecnologias de fenotipagem de última geração (NGP) capturam, estruturam e analisam dados fisiológicos humanos complexos para produzir perceções genómicas.

  A FDNA faz parte da Nacre Capital, uma líder global em venture building, e está à procura de um Backend Data Engineer qualificado para avançar a tecnologia central da FDNA. Esta função envolve a organização e estruturação de grandes volumes de dados, enquanto projeta ferramentas para limpar e preparar eficientemente os dados para a nossa experiente equipa de ciência de dados.

   

  Responsabilidades

  Melhorar o data warehouse existente

  Colaborar com a equipa de dados científicos para desenhar procedimentos de curadoria de dados e ETLs

  Trabalhar em estreita colaboração com investigadores de IA para preparar dados de acordo com as suas necessidades

  Planear a recolha e processamento de dados com base nos requisitos de negócios

  Construir conjuntos de dados para cumprir requisitos de controlo de qualidade, necessidades de treino de algoritmos e evitar biases

  Assegurar a qualidade da anotação de dados

  Gerir o armazenamento e proteção de dados

   

  Requisitos

  Experiência em pelo menos uma linguagem de script (preferencialmente Python)

  Experiência em construção ou manutenção de sistemas de gestão de dados

  Experiência em anotações para soluções de visão computacional

  Licenciatura em áreas relacionadas com as ciências (Mestrado/Doutoramento preferencial)

  Fortes competências em liderança e comunicação

  Competências em gestão de projetos

  Mentalidade analítica

  Elevado nível de inglês

   

  Mais

  Conhecimentos básicos em redes / transmissão de mensagens (Beanstalk / ZMQ / RabbitMQ, etc.)

  Experiência em Matlab e C/C++

  Php Laravel e Angular

   

  Localização

  Trabalho remoto, em qualquer fuso horário entre GMT-1 e GMT+3

  Se é curioso, corajoso, capaz e dedicado, é a pessoa certa para este trabalho.

  Por favor, envie um email para Jessica (jobs@fdna.com) diretamente para se candidatar.

• Applications Lead Engineer
  Remote

  Imagine a world where every person’s genome serves as their medical record to guide health decisions. We’re well on our way—genomic analysis is becoming the clinical standard in diagnostic evaluations, and artificial intelligence is the cornerstone of technologies that enable it.

  In FDNA, we work on the early detection of rare diseases with the help of AI technology. FDNA's technology is used by 70% of the world’s geneticists across 2,000 clinical sites in over 130 countries; our next-generation phenotyping (NGP) technologies capture, structure and analyze complex human physiological data to produce actionable genomic insights.

  FDNA is part of Nacre Capital, a leading global venture builder, and is seeking a qualified Applications Lead Engineer to advance FDNAs applications.

  We are seeking experienced candidates, with skills in developing great frontend and native applications to join our Applications Engineering team. The main goal will be to lead a team to develop robust, performant, delightful and highly experiences. A successful candidate will work closely with the engineering team, applications team, Product and AI teams to deliver amazing, life altering products. A candidate having US Healthcare IT experience is an absolute plus!

  Responsibilities:

  - Lead the design and development of web and hybrid applications

  - Lead application engineering team

  - Hands on Development/Coding

  - Deliver working and tested software

  - Identify and address performance bottlenecks and solve them

  - Provide architectural guidance and technical support

  - Conduct regular code reviews

  - Stay up to date on the latest frontend technologies

  - Emergency Response Team

  - Collaborate with cross functional teams including engineering product and AI teams.

   

  Requirements:

  - At least 8 years of experience in developing web and hybrid applications

  - Proven track record in of successfully delivering complex software

  - Proven track record of building beautiful and performant UX

  - Proven track record in developing applications using hybrid technologies namely React Native

  - Proven track record in developing configuration driven applications

  - Excellent design, coding and debugging skills

  - Programming languages: Javascript , HTML, TypeScript, CSS and respective popular native/non native frameworks

  - Proficient in web technologies

  - Proficient in state management

  - Proficient in  responsive design principle and mobile first development

  - Strong understanding of integrating native extensions

  - Strong understanding of PWA

  - Strong understanding and experience with SSR

  - Good experience working with web sockets

  - Good knowledge of front end build tools and modern SW release pipelines

  - Excellent communication skills

  - Strong problem-solving and decision-making abilities

  - Ability to collaborate effectively

  - Demonstrated commitment to quality, with a strong attention to detail.

  Preferred Qualifications:

  - Open minded, adaptive and fast.

  - A first principles thinker with an innovative mindset.

  - Will do what it takes to get things done

  - Experience in the healthcare industry

  - Up to date on the latest application technologies

  - Working with WASM an advantage

   

  If you are interested, please send your resume and CV to jobs@fdna.com

• Senior Backend Engineer III
  Remote

  Imagine a world where every person’s genome serves as their medical record to guide health decisions. We’re well on our way—genomic analysis is becoming the clinical standard in diagnostic evaluations, and artificial intelligence is the cornerstone of technologies that enable it.

  In FDNA, we work on the early detection of rare diseases with the help of AI technology. FDNA's technology is used by 70% of the world’s geneticists across 2,000 clinical sites in over 130 countries; our next-generation phenotyping (NGP) technologies capture, structure and analyze complex human physiological data to produce actionable genomic insights.

  FDNA is part of Nacre Capital, a leading global venture builder, and is seeking a qualified Senior Backend Engineer to advance the FDNA services platform.

  We are seeking experienced candidates, with skills in developing robust distributed backend systems with a proven track record to join our Engineering team. The main goal will be to refactor the current platform to support consumer grade scale, to integrate the platform with healthcare systems and to add new services and capabilities to the platform. A successful candidate will take ownership of our production pipelines and will work closely with the engineering team, applications team, Product and AI teams to deliver amazing, life altering products. A candidate having US Healthcare IT experience is an absolute plus!

  Responsibilities:

  - Build backend services for the FDNA platform

  - Deliver working, tested and performant software

  - Participate in our emergency response team and support production issues when needed

  - Comply with companies Security and Compliance policies and procedures

  Requirements:

  - 8 years of experience in developing backend system

  - Experience in refactoring legacy system and adapting to microservices environments

  - Experience with systems integration

  - Excellent design, coding, debugging skills

  - Good knowledge and experience with Relational (mysql), document (mongo) and in memory (redis) dbs

  - Good knowledge and experience with distributed system architectures

  - Good knowledge and experience in Cloud infrastructure, specifically AWS

  - Programming languages: PHP, JS, Python and respective popular frameworks.

  - Good knowledge and experience building and managing modern SW release pipelines

  - Proven track record of successfully delivering complex software

  - Excellent communication skills

  - Strong problem-solving and decision-making abilities

  - Ability to collaborate effectively

  - Demonstrated commitment to quality, with a strong attention to detail.

  - Familiarity with Client side technologies and development.

  Preferred Qualifications:

  - Open minded, adaptive and fast.

  - A first principles thinker with an innovative mindset

  - Will do what it takes to get things done

  - Experience in the healthcare industry

   

  If you are interested, please send your resume and CV tojobs@fdna.com