About the job

A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision, and preferably using the most advanced technology. At Nucleai, we use cutting-edge AI-based technology to translate spatial biology insights into actionable biomarkers and to facilitate their implementation as diagnostics in the drug development process.    

At Nucleai we believe that talents are our most valued asset and as such, hiring the right people is one of our most strategic missions.

Why join us?

There are plenty of reasons:

• Your job matters, use your experience and skills to enable drug development companies develop better therapies
• Come as you are, Do what you love: We are a diverse team who are inspired to let our people bring their real self to work by providing an inclusive respectful work environment, and openness to feedback and ideas.
• Work with amazing people that share a passion for using technology as a tool to achieve great things
• Won the Atlas Award (2022).
• Top 20 Duns 100 Best Start Up Companies to work for (2022).
• Top 10 Duns 100, Best Start Up Companies promoting diversity and inclusion (2022).

Responsibilities:

• Lead spatial data interpretation in the context of clinical drug development
• Design, develop and perform experiments to generate spatial datasets, including multiplex imaging and spatial transcriptomics.
• Lead research projects with a multidisciplinary team including data scientists and software engineers.
• Optimize and troubleshoot experimental conditions to ensure high quality and high reproducibility of the data.
• Maintain extensive knowledge of the literature and best practices in spatial biology, in particular related to the immune system.
• Work with and present to key opinion leaders in the scientific community and Pharma industry.

Requirements:

Qualifications:

• PhD, MD, PharmD degree in Immunology or Cancer Biology.
• Experience in designing and executing research projects in the field of cancer and immunology.
• Experience in analyzing and interpreting clinical data.
• Interpersonal skills, collaboration, teamwork.

Advantage:

• Previous work experience in the biotech industry.
• Experience in spatial biology analysis and interpretation of high-plex images (e.g. MIBI, IMC, CODEX or comparable platforms).
• Research in cancer biomarkers and/or immunotherapy target discovery.
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• Knowledge in machine learning and/or deep learning algorithms
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• Strong record of publications

We are hiring a Data Science Team Lead to manage Nucleai’s Data Science team.

A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision, and preferably using the most advanced technology. At Nucleai, we bring cancer patients cutting edge AI-based technology, by improving biopsy interpretation with machine learning and by creating novel precision medicine technology. Come and join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference.

At Nucleai we believe that talents are our most valued asset and as such, hiring the right people is one of our most strategic missions. 

Why join us? 

There are plenty of reasons:

• Your job matters, use your experience and skills to implement solutions that save lives.
• Come as you are, Do what you love: We are a diverse team who are inspired to let our people bring their real self to work by providing an inclusive respectful work environment, and openness to feedback and ideas.
• Work with amazing people that share a passion for using technology as a tool to achieve great things
• Won the Atlas Award (2022).
• Top 20 Duns 100 Best Start Up Companies to work for (2022).
• Top 10 Duns 100, Best Start Up Companies promoting diversity and inclusion (2022).

Responsibilities:

• Leading a team of experienced data scientists
• Lead the development of novel machine learning and statistical algorithms that predict patient response to drugs using pathology images for customers and for internal initiatives
• Lead the development of the data science platform as part of Nucleai's product offering

Requirements:

• MSc/PhD in computer science/statistics/biomedical engineering/bioinformatics or other relevant fields
• 3+ years of experience managing and inspiring Data Science teams 
• 6+ years of experience in various data science positions
• Get the job done attitude. Proven track record of success in managing and delivering complex projects.
• Background in pharma/medical data experience, python & coding skills, statistics - Must
• clinical trials data analysis, computer vision, genomics, publications - Big advantage
• Startup experience - advantage.

We are hiring a Researcher to be part of Nucleai’s Research team.

A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision, and preferably using the most advanced technology. At Nucleai, we bring cancer patients cutting edge AI-based technology, by improving biopsy interpretation with machine learning and by creating novel precision medicine technology. Come and join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference.

At Nucleai we believe that talents are our most valued asset and as such, hiring the right people is one of our most strategic missions. 

Why join us? 

There are plenty of reasons:

• Your job matters, use your experience and skills to implement solutions that save lives.
• Come as you are, Do what you love: We are a diverse team who are inspired to let our people bring their real self to work by providing an inclusive respectful work environment, and openness to feedback and ideas.
• Work with amazing people that share a passion for using technology as a tool to achieve great things
• Won the Atlas Award (2022).
• Top 20 Duns 100 Best Start Up Companies to work for (2022).
• Top 10 Duns 100, Best Start Up Companies promoting diversity and inclusion (2022).

Responsibilities:

• Contribute to the establishment of innovative spatial biology platforms, integrated to a multi-dimensional single-cell-omics data generation pipeline.
• Design, develop and analyze experiments to generate state of the art spatial biology datasets, including multiplex imaging and spatial transcriptomics.
• Lead research projects with a multidisciplinary team including data scientist and software engineers.
• Collaborate closely with colleagues in the functional genomics team, computational biology / software engineering teams and provide support for application development.
• Maintain extensive knowledge of the literature and best practices in spatial biology, in particular related to the immune system.
• Work with and present to key opinion leaders in the scientific community and Pharma industry.

Requirements:

Qualifications:

• PhD degree in Immunology or Cancer Biology.
• Experience in designing and executing bioinformatic research projects in the field of cancer and immunology.
• Experience working with Python or R.
• Experience in analyzing and interpreting clinical data.
• Knowledge in machine learning and/or deep learning algorithms
• Interpersonal skills, collaboration, teamwork.

Advantage:

• Previous work experience in the biotech or pharma industry.
• Experience in spatial biology analysis and interpretation of high-plex images (e.g. MIBI, IMC, CODEX or comparable platforms) or spatial transcriptomics.
• Research in cancer biomarkers and/or immunotherapy target discovery.