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Required Bioinformatics Scientist / Senior Bioinformatics Scientist
Job Description:
Our extraordinary multidisciplinary team is one of its greatest assets. Our employees, coming from different backgrounds with diverse ways of thinking, work together in an atmosphere that cultivates excellence, creativity and openness. The cooperation of people from various disciplines involving different areas of expertise is fundamental to our ability to establish unique predictive drug discovery solutions, as well as to discover and develop novel therapeutic proteins and drug targets. This merging of talent from various disciplines continues to serve as a key growth driver and enables us to fulfill our mission and business goals. We are expanding our bioinformatics and data engineering team under the Computational Discovery unit and seek a Bioinformatics Scientist / Senior Bioinformatics Scientist to drive hands-on data analysis and algorithms development towards novel targets discovery and enhancement of our cloud-based computational biology platform. The Bioinformatics Scientist / Senior Bioinformatics Scientist will play a key role in the development of our Computational Discovery analytics platform towards the in-silico identification of drug targets and novel biomarkers in immune-oncology (IO). The Bioinformatics Scientist / Senior Bioinformatics scientist will report to the Head of Computational Discovery.
Conduct end-to-end computational analyses of single cell and spatial transcriptomics data
Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines
Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization
Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers
Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients stratification and biomarkers discovery
Work closely and routinely with computational scientists, biologists and immunologists
Present, visualize and communicate the analytics results and scientific insights to internal and external collaborators.

We are seeking a highly motivated Postdoctoral Researcher to join our team. The selected candidate will engage in pioneering research to develop the mathematical statistics theory that underpins physics-informed Machine Learning algorithms.
This role presents an opportunity to tackle complex problems at the nexus of deep learning, ordinary and partial differential equations, and mathematical statistics.
The theoretical research is motivated by real data coming from diverse domains such as agriculture, psychotherapy, infectious diseases, medicine, and more.
Key Responsibilities:
* Develop and analyze the theoretical foundations of physics-informed Machine Learning algorithms.
* Collaborate with interdisciplinary teams to apply developed theories and models to real-world scientific and engineering problems.
* Publish research findings in high-impact journals and present work at international conferences.
* Contribute to the development of proposals for research funding.
Benefits:
* Access to cutting-edge research facilities and computational resources.
* The chance to work in a dynamic, interdisciplinary research environment.
* Professional development opportunities, including participation in workshops, seminars, and conferences.

Required Quantitative Researcher
Come, Grow with us!
Are you smart, curious, nimble, relentless leader and quick learner enough to tackle one of societys largest emerging problems?
If you answer yes to all of the above, we might have one of the most interesting Quantitative Researcher roles out there, just for you.
We are reinventing successful aging by working with many of the largest insurance carriers and their policyholders to introduce game changing wellness and financial products.
Responsibilities:
Drive research plan all the way from translating complex business requirements to research questions, to communicating actionable results back to the stakeholders
Navigate a complex world with operational, research, financial and regulatory constraints and be able to find creative solutions that satisfy all of these constraints
Apply proper statistical methods and tools to measure results of large scale non-standard clinical trials that we operate
Lead the efforts to rapidly explore, discover and document new sources of data we get; efforts also require understanding the clinical or business logic that govern them and how they should pertain to our system overall.
Contribute to and maintain a repository of analysis code base to be continuously used for delivery of insights internally and externally.