Tessa Therapeutics is a clinical-stage immunotherapy company focused on the development of autologous and off-the-shelf, allogeneic therapies targeting solid tumors. Tessa’s Virus-Specific T cell (VST) platform harnesses the body’s potent anti-viral immune response and has shown compelling results in the treatment of solid tumors.
Tessa is building a portfolio of innovative, next-generation therapies by combining the qualities of VSTs with other immuno-oncology technologies. This includes a rapidly growing pipeline of clinical and pre-clinical autologous programs that target a wide range of cancers, including nasopharyngeal carcinoma, cervical cancer, oropharyngeal cancer, lung cancer, breast cancer, bladder cancer, as well as head and neck cancer. In addition, Tessa is leveraging its platform to develop an allogeneic therapy to address Epstein-Barr virus (EBV)-associated lymphomas.
Tessa has built up robust operational and supply chain capabilities to successfully deliver T cell therapy treatments to a large patient pool worldwide. Together with the Company’s academic, clinical, and commercial research partners, Tessa has created a fully-integrated approach to the treatment of cancer with immunotherapy.
Our mission is to cure cancers and save lives with our innovative and widely accessible immunotherapies. We are looking for highly motivated and enthusiastic individuals who are interested to be part of our team.
Job Description
- Responsible for working closely with Research scientists to model complex problems, discover insights and identify opportunities through the use of statistical, algorithmic, mining and visualisation techniques.
- Proficient at integrating and manipulating high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends with machine learning techniques.
- Work closely with scientists and project teams to turn data into critical information and knowledge that can be used for scientific discoveries.
- Present findings to the Research team by sharing assumptions and validation work in a way that can be easily understood.
- Ability to apply machine learning methodology, with emphasis on applying and integrating Artificial Intelligence graph analytic and deep learning.
Requirements
- PhD, MS or equivalent experience in machine learning, computer science or related field with at least 2 years of relevant working experience
- Solid coding skills in Python, R, Java, MySQL/NoSQL
- Familiar with deep learning topologies
- Experience with cloud platforms such as GCP
- Data pipeline skills: Spark, Celery, Jinja
- Familiarity with generation of heatmaps and biplots a plus
- Background in big data would be an added advantage
- Proficient in Microsoft office such as Microsoft Power Point and Excel
- Good working attitude and willingness to learn
- Good analytical, planning and coordination skills
- Good communication skill and able to be a team player
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Tessa Therapeutics Ltd - Designation:
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