Lead Ai/Ml Engineer, Bioinformatics

Site Name: USA - Massachusetts - Cambridge
Posted Date: Jul 20 2023
About This Role
We are seeking a highly experienced skilled lead AI/ML engineer, bioinformatics to join our dynamic and innovative AI/ML team. You will work closely with cross-functional teams to build ML model for target identification, AI-driven next generation vaccines design and drug discovery. The ideal candidate should have a strong background in AI/ML, and hands-on experience in developing and implementing bioinformatic workflow and data analytics pipeline. The successful candidate will have a deep understanding AI/ML, computational biology and apply the technology to design the next generation vaccines and medicine. Initially, you will develop innovative pipeline to track, analyze and predict rapidly evolution of human pathogen.
Responsibility

• Design and implement reproducible AI/ML and data analytic frameworks, computational methods that can transform the high-dimensional biological data into actionable findings and research insights.
• Identify relevant public datasets and strategies to augment growing internal database of multimodal high-dimensional datasets.
• Develop AI/ML model to predict the circulating human pathogen’s evolution and mutation effect.
• Stay up to date with emerging technologies and industry trends and identify opportunities for innovation and improvement in vaccines R&D with data-driven approach.
• Apply latest research in machine learning for medicine and implement these novel research concepts to build predictive and practical models to accelerate vaccines pre-clinical and clinical research.
• Apply structural biology/bioinformatics expertise to develop state-of-the-art approach/technology for the analysis of protein/RNA structural to enhance its desired functionality.
• Design and build genomics, epidemiological data analytics pipeline to track the prevalence of the emerging human pathogens.

Qualifications

• Proficiency in Python and hands-on experience with machine learning libraries such as Scikit-Learn, TensorFlow, and PyTorch.
• PhD or Master's in computer science, computer engineering, bioinformatics with 5 years of post-doc experience (or MS in one of these fields with 8+ years of related experience) in a fast-paced environment including designing, developing, and implementing bioinformatics workflow/pipeline and data analytics.
• Super problem-solving and analytical skills, with the ability to propose creative and efficient solutions.
• Independent, self-motivated, innovative, and able to excel in a goal-oriented, multifaceted, and fast-moving team environment are required.
• Knowledge of deep learning techniques, such as, CNN, RNN, autoencoder, backpropagation, transformers/large language model.
• Excellent written and oral communication skills, and ability to optimally communicate technical findings with stakeholders.
• Strong background in machine learning and statistical modeling techniques.

Preferred Qualification

• Expertise in deep sequencing and analysis of immune repertoires, including experimental and/or bioinformatic methods.
• Familiar with transformer/Large language model with hands-on experience of developing or applying predictive models in health care industry.
• Expertise in structural biology, including structural determination of proteins and/or modeling protein structures and interactions.
• Experience/knowledge of antibody and/or small molecule drug discovery, developability, and validation.
• Proficient with agile development process and GIT source control.
• Experience implementing production solution within a cloud platform (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Experience in developing or optimizing vaccine platforms for infectious diseases, especially lipid nanoparticles, mRNA, viral vectors, and other advanced delivery platforms.

Why GSK?
GSK is a global biopharma company with a special purpose – to unite science, technology, and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged, and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.
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