Director AI/ML Engineering - Sequence Learning

Key Skills

Aartificial intelligence, Agile methodologies, Algorithms, Bioinformatics, Continuous Integration & Continuous Delivery - CI/CD, Deep Learning, Effective communication skills, Genomic data, Large Language Models - LLMs, Machine learning techniques, Planning and organization, Python Programming, Teamwork

Job Description

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.

As a Director of AI/ML Engineering – Sequence Learning you will:

• Lead a machine learning engineering team specialising in genomics applications
• Manage complex, multi-quarter, cross-functional projects
• Be a standard bearer for data science and software engineering best practices within the organisation
• Develop plans to meet requirements, organize a team capable of executing the plans, and lead and track delivery.
• Drive an interview process to enable team growth adhering to diversity and inclusion requirements
• Maintain a safe and inclusive team environment in which people thrive
• Operate in a transparent way, communicating clearly and accurately to leadership and the broader organization
• Develop a high-performing team through coaching, feedback and ensuring opportunities for growth

Basic Qualifications:

• 2+ years experience in a technical lead or engineering manager role with direct reports
• 3+ years experience of professional software development practices: code standards, code review, version control, CI/CD, testing, documentation, Agile, with the ability to mentor others in these practices
• 3+ Advanced Python programming skills
• Masters Degree in a related field (computer, math or science)

Preferred Qualifications

• PhD in Machine Learning
• Peer reviewed publications in major AI conferences
• Experience with large language models
• Knowledge in disease biology, molecular biology and biochemistry

• Experience with common bioinformatics tools (e.g. samtools)
• Track record as an independent contributor capable of end-to-end development of ML-powered products for genomics
• Track record of delivering robust software solutions
• Proficiency with standard deep learning algorithms and model architectures
• In depth knowledge in machine learning best practices, scalable training and deployment
• Experience working with biological sequence data (e.g. genomics, transcriptomics, proteomics)
• Graduate degree in Computer Science or Applied Math, undergraduate degree in Computer Science and relevant graduate degree in the life sciences with a focus on AI/ML techniques, or undergraduate degree in Computer Science and equivalent work history. Candidates with graduate degree in CS and biological sciences or equivalent work history will be highly competitive

Why GSK?

At GSK, we have already delivered unprecedented change over the past four years, improving R&D, becoming a leader in Consumer Health, strengthening our leadership, and transforming our commercial execution. Now, we’re making the biggest changes we’ve made to our business in over 20 years. We’re on track to separate and create two new companies in 2022: New GSK with a leading portfolio of vaccines and specialty medicines as well as R&D based on immune system and genetics science; and a new world-leading consumer healthcare company of loved and trusted brands.

With new ambition comes new purpose. For New GSK, this is to unite science, talent and technology to get ahead of disease together – all with the clear ambition of delivering human health impact; stronger and more sustainable shareholder returns; and as a new GSK where outstanding people thrive.

Getting ahead means preventing disease as well as treating it. How we do all this is through our people and our culture. A culture that is ambitious for patients – so we deliver what matters better and faster; accountable for impact – with clear ownership of goals and support to succeed; and where we do the right thing. So, if you’re ready to improve the lives of billions, join us at this exciting moment in our journey. Join our challenge to get Ahead Together.

GSK offers a competitive compensation package inclusive of the following: Competitive base salary, annual bonus based on company performance, access to healthcare and wellbeing programs, retirement savings program, paid time off, and employee recognition programs which reward exceptional achievements. The salary range for this role is: $183,532 to $248,308

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.