AI/ML Engineer
Company: GlaxoSmithKline
Location: San Francisco
Posted on: October 4, 2024
Job Description:
Site Name: USA - California - San Francisco, Cambridge 300
Technology SquarePosted Date: Sep 27 2024At GSK we see a world in
which advanced applications of machine learning and AI will allow
us to develop novel therapies to existing diseases and to quickly
respond to emerging or changing diseases with personalized drugs,
driving better outcomes at reduced cost with fewer side effects. It
is an ambitious vision that will require the development of
products and solutions at the cutting edge of machine learning and
AI. If that excites you, we'd love to chat.To help us make this
future a reality, we are looking for AI/ML Engineers with a track
record in developing and validating state-of-the-art machine
learning models for solving challenging real-world scientific
problems. AI/ML Engineers at GSK are outstanding scientists and
engineers with in-depth knowledge in modern machine learning and a
keen interest in making a positive impact in healthcare.You will be
joining the AI/ML Phenomics Team to apply cutting-edge machine
learning and AI methodologies to generate insights from multi-modal
high-content data modalities. This ranges from spatial
transcriptomics of proprietary patient cohorts to high-dimensional
imaging and multi-omics readouts of high-throughput genetic and
chemical perturbation screens in in vitro cellular systems.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 multi-modal high-content
data.
- Design approaches to deconvolve real biological signals from
confounding effects that are inherent in high-throughput biological
data.
- Leverage internal high performance computing cluster and cloud
compute 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, engineering, applied
mathematics, machine learning, or equivalent practical
experience.
- 2+ years of experience in machine learning and software
engineering best practices.
- 2+ years of experience with working in a collaborative CI/CD
software development environment, including use of git.
- 2+ years of experience with developing, implementing, and
training deep learning models with PyTorch, Tensorflow, or other
deep learning frameworks.Preferred Qualifications:If you have the
following characteristics, it would be a plus:
- Experience working with high-content imaging and diverse
multi-omics.
- 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 machine learning and life sciences.
- Mentality of commit early and often, metrics before models, and
shipping high quality production code.The annual base salary for
new hires in this position ranges from $130,900 to $177,100 taking
into account a number of factors including work location within the
US market, the candidate's skills, experience, education level and
the market rate for the role. In addition, this position offers an
annual bonus and eligibility to participate in our share based long
term incentive program which is dependent on the level of the role.
Available benefits include health care and other insurance benefits
(for employee and family), retirement benefits, paid holidays,
vacation, and paid caregiver/parental and medical leave.Please
visit to learn more about the comprehensive benefits program GSK
offers US employees.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 organisation where people can thrive.
We prevent and treat disease with vaccines, specialty and general
medicines. We focus on the science of the immune system and the use
of new platform and data technologies, investing in four core
therapeutic areas (infectious diseases, HIV, respiratory/
immunology and oncology).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.If you require
an accommodation or other assistance to apply for a job at GSK,
please contact the GSK Service Centre at 1-877-694-7547 (US Toll
Free) or +1 801 567 5155 (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.
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Keywords: GlaxoSmithKline, Milpitas , AI/ML Engineer, Engineering , San Francisco, California
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