Job was saved successfully.
Job was removed from Saved Jobs.

Job Details


GlaxoSmithKline (GSK)

AI/ML Engineer - Cell Imaging (Computer Vision)

Pharmaceuticals

All

Full Time

On Site

No

San Francisco, California, United States

Site Name: USA - California - San Francisco, Cambridge 300 Technology Square, USA - Pennsylvania - Philadelphia, USA - Pennsylvania - Upper Providence
Posted Date: Nov 17 2022

At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics, and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.

The AI/ML Cell Imaging Team applies advances in machine learning and AI methodologies to high-dimensional imaging readouts of high-throughput screens. Cell images obtained using fluorescent probes contain morphological information that can provide biological insights at scale. Our team builds products that aim to extract these insights from massive internal datasets of high-content microscopy images for applications at various stages of the drug discovery pipeline. This is an exciting opportunity at the intersection of computer vision and life sciences.

We’re looking for a highly skilled AI/ML Engineer to join our team. As an AI/ML Engineer in this role, you will:

• Carry out product-driven research on novel machine learning methods to analyze terabytes of internal high-content imaging data.

• Design approaches to deconvolve real biological signals from nuisance factors that are inherent in high-throughput biological data.

• Leverage internal high-performance computing systems to train and productionize our models at scale.

• Work closely with domain experts on cross-disciplinary teams to generate actionable insights that impact target identification, hit identification and safety testing.

• Contribute to our developing codebase with well-tested, production-ready code.

Competitive candidates will have in-depth knowledge of machine learning with a track record of developing deep learning models for solving challenging real-world scientific problems. They should be comfortable with writing quality, well-documented, and well-tested code in the AI/ML space and operate in an agile environment.

Why you?

Basic Qualifications:

We are looking for professionals with these required skills:

• Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive.

• Experienced in machine learning and software engineering best practices with advanced skills in Python and/or C++.

• Experienced with working in a collaborative CI/CD software development environment, including use of git, peer code review and independent authorship of well tested, easily maintained, scalable, and documented code.

• Experienced with developing, troubleshooting, and validating deep learning models for diverse computer vision tasks (e.g. segmentation, recognition, classification, domain adaptation) using PyTorch, TensorFlow, or other deep learning frameworks.

• Experienced with one or more open-source computer vision libraries such as Pillow, scikit-image, and OpenCV.

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• Experienced in working with high-content imaging data.

Knowledge in disease biology, molecular biology, and biochemistry.

• Track record of writing software in a team in industrial environments or open-source projects.

• Track record of projects or peer-reviewed publications at the intersection of computer vision and life sciences.

• Mentality of commit early and often, metrics before models, and shipping high-quality production code.

Why GSK?

Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:

Agile and distributed decision-making – using evidence and applying judgement to balance pace, rigors and risk

• Managing individual and team performance.

• Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.

• Implementing change initiatives and leading change.

• Sustaining energy and well-being, building resilience in teams.

• Continuously looking for opportunities to learn, build skills and share learning both internally and externally.

• Developing people and building a talent pipeline.

• Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation.

• Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally.

• Budgeting and forecasting, commercial and financial acumen.

*LI-GSK

#GSKAIML2021

#AIMLEngineer

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 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 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.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-[Register to View] (US Toll Free) or +1 [Register to View] (outside US).

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

At GSK, the health and safety of our employees are of paramount importance. As a science-led healthcare company on a mission to get ahead of disease together, we believe that supporting vaccination against COVID-19 is the single best thing we can do in the US to ensure the health and safety of our employees, complementary workers, workplaces, customers, consumers, communities, and the patients we serve.

GSK has made the decision to require all US employees to be fully vaccinated against COVID-19, where allowed by state or local law and where vaccine supply is readily available. The only exceptions to this requirement are employees who are approved for an accommodation for religious, medical or disability-related reasons.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting [Register to View] site.