Senior Principal Scientist, Computational and Systems Pharmacology
Company: Bristol Myers Squibb
Posted on: January 27, 2023
Working with Us
Challenging. Meaningful. Life-changing. Those aren't words that are
usually associated with a job. But working at Bristol Myers Squibb
is anything but usual. Here, uniquely interesting work happens
every day, in every department. From optimizing a production line
to the latest breakthroughs in cell therapy, this is work that
transforms the lives of patients, and the careers of those who do
it. You'll get the chance to grow and thrive through opportunities
uncommon in scale and scope, alongside high-achieving teams rich in
diversity. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and
flexibility in our work environment. We offer a wide variety of
competitive benefits, services and programs that provide our
employees with the resources to pursue their goals, both at work
and in their personal lives. Read more:
We seek a collaborative and highly innovative computational
scientist to join our Predictive Sciences team to work on
multi-omics perturbation data from compounds in our proprietary
library to infer novel mechanism-of-action (MoA) and help build
models, facilitating the design of new compounds with desired
This position will work alongside biology and chemistry colleagues
and other global Informatics and Predictive Sciences (IPS) teams.
The successful applicant will play a key scientific role in
analyzing screening data from our compound library to infer their
MoA and therapeutic effects on specific disease subtypes. This
candidate will also work on developing methods to deepen our
understanding of additional protein degradation machinery and work
with the chemistry team to incorporate these findings to expand our
compound library. This candidate will collaborate extensively with
the machine learning and chemoinformatic team to build generative
and predictive models to identify rules to design compounds with
desired therapeutic effects. We seek a meticulous and scrupulous
candidate passionate about learning a new drug discovery paradigm,
bringing new medicines to the patients, and comfortable working in
a fast-paced and highly collaborative environment.
Interrogate multi-dimensional compound profiling data from
proteomics, transcriptomics, and phenomics screens to characterize
Use the compound's MoA to infer their therapeutic effects on
specific disease sub-types and design experiments to validate their
efficacy in the relevant pre-clinical models.
Work with other members of the Predictive Sciences team to nominate
high-value targets and interrogate our compound library to identify
compounds downmodulating them.
Develop methods to interrogate and deepen our understanding around
additional mechanisms to degrade proteins and devise experimental
strategies to validate it.
Devise screening strategies, guide screen execution, and develop
corresponding data analytics
Collaborate with the machine learning team to design de novo
molecules with desirable MoA profiles using generative AI
Work with informatics and compound management team to manage
compound screen and high throughput assay datasets.
Associate MoA classes of a compound library to its chemical
features to elucidate Structure-Activity Relationships.
Collaborate with internal and external partners to plan and execute
various screening and validation strategies for drug discovery
Author scientific reports and present methods, results, and
conclusions to a publishable standard.
Bachelor's Degree in computational biology, or systems biology with
10+ years of academic / industry experience and 2+ years of
OR Master's Degree in computational biology, or systems biology
with 8+ years of academic / industry experience and 2+ years of
OR PhD in computational biology, or systems biology with 6+ years
of academic / industry experience and 2+ years of leadership
Ph.D. in computational biology, or systems biology with 8+ years of
post-doctoral experience in applying computational and analytical
approaches in university, pharma, or biotech settings, focusing on
drug discovery or elucidating underlying disease pathology.
Working knowledge of drug discovery in pre-clinical or early-phase
drug development using screening data from various high-throughput
Strong expertise in unsupervised machine learning and pattern
Ability to analyze and interpret data from multiple experimental
assays and propose new biological hypotheses.
Demonstrated cross-discipline collaborations, particularly with
chemo-informatics, machine learning, and wet-lab scientists.
Strong scientific understanding of molecular biology, preferably in
Expertise in programming and scripting languages (R, Python, or
Strong applied statistical background.
Proven problem-solving skills and ability to work
Excellent verbal and written communication skills.
The starting compensation for this job -is a range from
$159,000-$185,000, plus incentive cash and stock opportunities
(based on eligibility).
The starting pay rate takes into account characteristics of the
job, such as required skills and the where the job is
Final individual compensation will be decided -based on
For more on benefits, please visit our
Eligibility for specific benefits listed on our BMS Careers site
may vary based on the job and location.
If you come across a role that intrigues you but doesn't perfectly
line up with your resume, we encourage you to apply anyway. You
could be one step away from work that will transform your life and
Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as "Transforming patients' lives
through science--- ", every BMS employee plays an integral role in
work that goes far beyond ordinary. Each of us is empowered to
apply our individual talents and unique perspectives in an
inclusive culture, promoting diversity in clinical trials, while
our shared values of passion, innovation, urgency, accountability,
inclusion and integrity bring out the highest potential of each of
Physical presence at the BMS worksite or physical presence in the
field is a necessary job function of this role, which the Company
deems critical to collaboration, innovation, productivity, employee
well-being and engagement, and it enhances the Company culture.
To protect the safety of our workforce, customers, patients and
communities, the policy of the Company requires all employees and
workers in the U.S. and Puerto Rico to be fully vaccinated against
COVID-19, unless they have received an exception based on an
approved request for a medical or religious reasonable
accommodation. -Therefore, all BMS applicants seeking a role
located in the U.S. and Puerto Rico must confirm that they have
already received or are willing to receive the full COVID-19
vaccination by their start date as a qualification of the role and
condition of employment. -This requirement is subject to state and
local law restrictions and may not be applicable to employees
working in certain jurisdictions such as Montana. This requirement
is also subject to discussions with collective bargaining
representatives in the U.S.
BMS is dedicated to ensuring that people with disabilities can
perform complex functions through a transparent recruitment
process, reasonable workplace adjustments and ongoing support in
their roles. Applicants can request an accommodation prior to
accepting a job offer. If you require reasonable accommodation in
completing this application, or in any part of the recruitment
process, direct your inquiries to firstname.lastname@example.org .
Visit careers.bms.com/ eeo -accessibility to access our complete
Equal Employment Opportunity statement.
BMS will consider for employment qualified applicants with arrest
and conviction records, pursuant to applicable laws in your
Any data processed in connection with role applications will be
treated in accordance with applicable data privacy policies and
Keywords: Bristol Myers Squibb, Seattle , Senior Principal Scientist, Computational and Systems Pharmacology, Education / Teaching , Seattle, Washington
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