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We are hiring a senior data scientist to join 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 creating novel precision medicine technology. Come 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.
Position Overview The data science team provides the bottom line to our customers – which patients are the best fit for a cancer treatment and what is the chance of success. We do it by analyzing medical images and clinical data, researching spatial features, developing predictive models and applying statistical methods to evaluate the results. We work together with subject-matter experts, from medical doctors to software engineers, to leverage computer vision, focus on the most promising biological hypotheses and to productionize our capabilities.
Responsibilities:
* Independently lead the data science perspective in any project or assignment – from data mining, through developing new algorithms, to analyzing results and providing professional insights and guidelines.
* Contribute to the team's internal codebase with high-quality code and development standards.
* Augment our knowledge and best practices, adopt relevant SOTA data science methods and practices.
* Work closely with medical doctors, product and project managers, research scientists and software developers to focus your efforts, build new capabilities and provide value to your colleagues and our customers.

Required Translational and Bioanalytical Research Associate
Job Description
The Translational and bioanalytical research associate will oversee the Companys translational and bioanalytical activities that are essential for drug development activities, preclinical and clinical. This typically includes bioanalytical methods development and use for pharmacokinetic and immunogenicity evaluation, as well as methods needed for pharmacodynamic exploration, such as cytokines, receptor occupancy, immunophenotyping, and a support for drug manufacturing development activities (CMC). The candidate will ensure the methods are developed, validated, and used with the highest degree of quality and compliance with international regulations.
The candidate will work with cross functional teams across the organization (preclinical biomarker/translational research, clinical development, clinical operations, CMC, regulatory, clinical data management) to ensure the successful PK and PD sample analysis for investigational drugs in our pipeline.
Be responsible for the bioanalytical methods required for our various therapeutic programs at preclinical and clinical development stage. This includes assay set-up, optimization, validation, execution, tracking of program and study timelines, review of bioanalytical protocols and reports
Propose format and strategy for pharmacokinetic and pharmacodynamic assays, immunogenicity assays such as ADA and NAb assay, flow cytometry immunophenotyping panels, Receptor occupancy assays, etc.)
Support the selection and the oversight of external advisors/Contract Research Organizations, including participating to quality assurance audits
Monitor internal and external work on bioanalytical methods
Collaborate with scientific colleagues in the R&D units from discovery to clinical teams
Maintain an up-to-date understanding of the state-of-the-Art literature, requirements, and regulatory guidelines for bioanalytical methods used in drug development
Present written and oral reports to preclinical units and management
Contribute to Project Management activities such as definition of activities, timelines, and costs/budgets
Contribute to the data analysis and summaries of results derived from pre-clinical and clinical sample analysis
Contribute to preclinical and clinical documentation definition and writing for the sections related to bioanalytical methods.

We are expanding our bioinformatics and engineering team under the Computational Discovery unit and seek an Integrative Immunologist to drive the generation of new computational projects, and conduct data analysis towards novel targets discovery and enhancement of our cloud-based computational biology platform.
The Integrative Immunologist will play a key role the in-silico identification of novel drug targets and novel biomarkers in immuno-oncology (IO), with the hope to extend the reach of cancer immunotherapies to new patient populations.
The Integrative Immunologist will report to the Head of Computational Discovery.
Drive the inception of new integrative computational discovery projects based on immunological hypothesis and technological edge
Provide on-going support for computational discovery projects via the review of analyses outputs and through usage of internal platforms
Lead literature review for selected topics and scope available datasets for specific projects
Work closely and routinely with computational scientists and software engineers
Present, visualize and communicate the analytics results and scientific insights to internal and external collaborators.