Director of Data Science & AI Research
Company: Healthcare Businesswomen's Association
Location: Cambridge
Posted on: May 28, 2023
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Job Description:
Director of Data Science & AI Research in Cambridge,
Massachusetts - HBA Careers Director of Data Science & AI Research
Novartis Pharmaceuticals Cambridge, Massachusetts Share Save Job
Job DescriptionNow more than ever, 21st century evolution and
innovation in digital technologies, data and advanced analytics is
rapidly changing the healthcare environment.
The AI & Computational Science (AICS) is the dedicated AI team at
Novartis Biomedical Research (NIBR) innovating drug discovery. We
aim to accelerate discoveries of transformative medicines for
patients worldwide. AI & Computational Science (AICS) is seeking a
highly motivated and experienced incoming leader in the domain of
AI/Machine Learning to push the frontier in Life Sciences and drug
discovery. At AI & Computational Sciences (AICS), you will take on
a leadership role at the intersection of science R&D and
real-world impact.
Major Accountabilities (may include but not limited to):
---Have a deep and broad understanding of generative,
discriminative, and contrastive machine learning (ML) methods
---Have experience with using generative, discriminative, and
contrastive machine learning methods to analyze multi-modal
datasets
---Have a broad understanding of applied mathematics and statistics
(e.g., Bayesian, Multi-Objective Optimization, Topological Data
Analysis)
---Have experience in Causal Inference/Discovery
---Take a hands-on role and deliver on highly visible multiple
projects
---Serve as an ambassador for AI & Data Sciences at Novartis by
presenting and publishing articles
---Build a bridge between academia, technology, and industry
partners
---Keep ahead of latest developments in the field and mentor
associates
---Be a part of a truly unique organization with an
inter-disciplinary team made up of highly accomplished scientists
who are curious, love to learn, and push the AI frontier in drug
discovery
This opportunity is located at the Novartis Cambridge (MA) site and
will not have the ability to be located remotely. Relocation
assistance may be available.
The pay range for this position at commencement of employment is
expected to be between $212,000 and $318,000 per year; however,
while salary ranges are effective from 1/1/23 through 12/31/23,
fluctuations in the job market may necessitate adjustments to pay
ranges during this period. Further, final pay determinations will
depend on various factors, including, but not limited to
geographical location, experience level, knowledge, skills and
abilities. The total compensation package for this position may
also include other elements, including a sign-on bonus, restricted
stock units, and discretionary awards in addition to a full range
of medical, financial, and/or other benefits (including 401(k)
eligibility and various paid time off benefits, such as vacation,
sick time, and parental leave), dependent on the position offered.
Details of participation in these benefit plans will be provided if
an employee receives an offer of employment. If hired, employee
will be in an "at-will position" and the Company reserves the right
to modify base salary (as well as any other discretionary payment
or compensation program) at any time, including for reasons related
to individual performance, Company or individual department/team
performance, and market factors.
EEO Statement The Novartis Group of Companies are Equal Opportunity
Employers and take pride in maintaining a diverse environment. We
do not discriminate in recruitment, hiring, training, promotion or
other employment practices for reasons of race, color, religion,
gender, national origin, age, sexual orientation, gender identity
or expression, marital or veteran status, disability, or any other
legally protected status. We are committed to building diverse
teams, representative of the patients and communities we serve, and
we strive to create an inclusive workplace that cultivates bold
innovation through collaboration and empowers our people to unleash
their full potential.Minimum requirementsWhat will you bring to the
role
---An advanced degree (master's or doctoral) in a quantitative
fields including but not limited to Computer Science, Applied
Mathematics, Astro/Physics, all relevant engineering and science
disciplines
---5+ years of relevant thought leadership/publication track record
in machine learning applications and AI/ML methods
---7+ years of experience in end-to-end analysis for large scale
data sets
---Cross-industry experience highly preferred and previous
experience in pharma, biotech, or healthcare desired
Why Novartis?
766 million lives were touched by Novartis medicines in 2021, and
while we're proud of this, we know there is so much more we could
do to help improve and extend people's lives.
We believe new insights, perspectives and ground-breaking solutions
can be found at the intersection of medical science and digital
innovation. That a diverse, equitable and inclusive environment
inspires new ways of working.
We believe our potential can thrive and grow in an unbossed culture
underpinned by integrity, curiosity and flexibility. And we can
reinvent what's possible, when we collaborate with courage to
aggressively and ambitiously tackle the world's toughest medical
challenges. Because the greatest risk in life, is the risk of never
trying!
Imagine what you could do here at Novartis!
Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work
environment and diverse teams representative of the patients and
communities we serve.
Accessibility and Reasonable Accommodations: Individuals in need of
a reasonable accommodation due to a medical condition or disability
for any part of the application process, or to perform the
essential functions of a position, please send an e-mail to
tas.nacomms@novartis.com or call +1 (877)395-2339 and let us know
the nature of your request and your contact information. Please
include the job requisition number in your message.
Join our Novartis Network: If this role is not suitable to your
experience or career goals but you wish to stay connected to hear
more about Novartis and our career opportunities, join the Novartis
Network here: https://talentnetwork.novartis.com/network Related
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Keywords: Healthcare Businesswomen's Association, Cambridge , Director of Data Science & AI Research, Executive , Cambridge, Massachusetts
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