Senior Machine Learning Engineer - Oligonucleotide Therapeutics - US
Company: Disability Solutions
Location: San Francisco
Posted on: October 3, 2024
Job Description:
Site Name: USA - California - San FranciscoPosted Date: Aug 29
2024GSKAt 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.We're looking for an
accomplished Senior Machine Learning Engineer to help make this
vision a reality. In this role, you will build and deploy machine
learning models to accelerate the development of oligonucleotide
therapeutics. You will work with foundational genomics models and
multiomics datasets from patients and lab experiments to model
aspects of RNA biology that will inform our understanding the
molecular mechanisms of diseases, drug response, and design of
best-in-class drugs in a new and exciting therapeutic modality.
Familiarity and experience with genomics and RNA biology is a plus,
but not required. This position is open to machine learning
engineers with a track record of excellence in other domains who
have a desire to learn.Competitive candidates will have a track
record of shipping high performing machine learning powered
products in production environments. They are highly accomplished
Machine Learning Engineers, with breadth across machine learning
methods and depth in at least one area. Additionally, they are
accomplished software engineers with a track record of shipping
stable, tested, performant code and services in an agile
environment. A senior engineer can consistently take a poorly
defined problem and formulate clear objectives, then execute on it
to build a high performing product or service. They are the model
for the team in terms of code quality, standards, and best
practices, and they act as mentors to junior members of the team.
Strong candidates will have graduate studies in Computer Science,
Applied Mathematics, or the equivalent (or in the life sciences
with a focus on machine learning techniques) and 2+ years of
industry experience building machine learning powered tools.
Previous research experience in the application of deep learning
techniques in drug discovery is strongly preferred, but not
necessary.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. Why you?Basic Qualifications:We are
looking for professionals with these required skills to achieve our
goals:
- 2+ years of industry experience in machine learning
engineering
- Graduate studies in Computer Science, Applied Mathematics, or
Life Sciences with a focus on AI/ML techniques, or undergraduate
studies in Computer Science and equivalent work history.
- Experienced in software engineering with advanced skills in
python and/or C++
- Experience in PyTorch, TensorFlow, or other deep learning
frameworks
- Experience with ML stack, and depth in at least one discipline
Preferred Qualifications:If you have the following characteristics,
it would be a plus:
- PhD in Computer Science or equivalent Life Sciences with
Machine Learning focus
- Demonstrated success shipping products powered by machine
learning
- Academic or industry experience in the biomedical sciences
especially genetics, molecular biology, or AI driven drug
discovery
- Understanding and application of best practices in machine
learning, software engineering, and/or production deployment of ML
services
- Understanding of modern ML Architectures, Platforms, and
backend systems
- Mentality of commit early and often, metrics before models, and
shipping high quality production code
- Track record of contributing to open source
projects.#LI-GSK#GSKTech1The annual base salary for new hires in
this position ranges from $153,000 to $207,000 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 GSK US Benefits Summary to learn more about the comprehensive
benefits program GSK offers US employees. Why GSK? Uniting science,
technology and talent to get ahead of disease 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. 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.Important notice to Employment businesses/ AgenciesGSK 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 For the
Record site.
Keywords: Disability Solutions, Petaluma , Senior Machine Learning Engineer - Oligonucleotide Therapeutics - US, Engineering , San Francisco, California
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