Computational Biology: The ideal candidate will demonstrate the ability to design, develop, and validate statistical analysis models and machine learning solutions using multimodal data, including cellular imaging and multi-omics data. Additionally, the candidate should be capable of conducting various analyses on clinical and pre-clinical data to identify patterns and trends, including standard and complex differential analyses of omics data from a variety of samples.
Responsibilities:
- Develop and teach undergraduate and graduate courses in computational biology, genomics, bioinformatics, or related fields.
- Design, develop, and validate statistical analysis models and machine learning solutions for analysing multimodal data, including cellular imaging and multi-omics data.
- Conduct various analyses on clinical and pre-clinical data to identify patterns and trends, including standard and complex differential analyses of omics data from a variety of samples.
- Stay current with advances in computational biology, genomics, and machine learning, and apply cutting-edge techniques to research projects.
- Present research findings at scientific conferences and publish in peer-reviewed journals.
- Mentor and supervise graduate students and postdoctoral researchers.
Qualification:
- PhD in computational biology, bioinformatics, statistical genomics, or a related field.
- Strong background in computational and statistical genomics, clinical informatics, computational systems biology, and computational neurosciences.
- Experience with machine learning techniques and frameworks, such as scikit-learn, TensorFlow.
Bioprocess Technology: The ideal candidate will demonstrate competence in microbial (bacteria & yeast), mammalian, plant, and insect cell cultures, fermentation, recombinant production of medical products & therapies, purification/immobilization/scale-up of industrial enzymes, green products & biomaterials, food & beverages, specialty chemicals, and machine learning in automation, precision biomanufacturing, biofertilizers, and biopesticides.
Responsibilities:
- Develop and teach undergraduate and graduate courses in bioprocess engineering, biotechnology, biochemical engineering, or related fields.
- Establish and maintain an independent research program focused on optimizing bioprocess technologies for biologics production.
- Conduct research in microbial, mammalian, plant, and insect cell cultures, fermentation, recombinant production of medical products & therapies, purification/immobilization/scale-up of industrial enzymes, green products & biomaterials, food & beverages, and specialty chemicals.
- Incorporate machine learning techniques into bioprocess optimization and automation
Qualification:
- D. in chemical engineering, biochemical engineering, biotechnology, or a related field.
- Post-doctoral research experience in optimizing bioprocess technologies for biologics production.
- Expertise in microbial (bacteria & yeast), mammalian, plant, and insect cell cultures, fermentation, recombinant production of medical products & therapies, purification/immobilization/scale-up of industrial enzymes, green products & biomaterials, food & beverages, and specialty chemicals.
Interested candidates are invited to share their resumes with Umang.sharma@mahindrauniversity.edu.in Please include “Computational Biology” or “Bioprocess Technology” in the subject line of your email.
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