Principal Scientist, Computational Systems Biology - Predictive Sciences
Company: Bristol Myers Squibb
Location: Cambridge
Posted on: January 18, 2023
Job Description:
Working with UsChallenging. 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:
careers.bms.com/working-with-usWe seek a collaborative and highly
innovative computational and systems biologist to join our
Predictive Sciences team and develop computational strategies to
analyze multi-omics data from our proprietary compound library for
precision medicine in oncology.This position will work alongside
Research & Early Development colleagues in the BMS Oncogenesis
Thematic Research Center, Protein Homeostasis Thematic Center of
Excellence, Sequencing Research, and other teams in the global
Informatics and Predictive Sciences (IPS) department. The
successful applicant will play a key scientific role in identifying
elucidating the MoA class of our compound libraries and inferring
therapeutic effects on specific patient subtypes, thus driving our
precision medicine effort. This candidate will work on multi-omics
compound profiles for the mechanism of action and biomarker
identification in pre-clinical and primary samples.This role will
work with internal and external collaborators to develop new
computational capabilities to accelerate our drug discovery
pipeline. We seek candidates 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.Responsibilities
- Infer compound MoAs using computational strategies to identify
various MoA classes in a compound library and use these to predict
their potential therapeutic effects on primary diseases and
molecularly defined patient states.
- Integrate multi-dimensional compound profiling data from
proteomics, transcriptomics, and phenomics screens to elucidate
compound activity.
- Build machine learning models to relate compound's features
with their MoA.
- Infer context-specific regulatory networks and interrogate them
to identify druggable drivers of various pathologies and the
associated biomarkers.
- Identify appropriate pre-clinical models closely resembling the
molecular profile of a given patient state.Requirements
- Ph.D. in computational biology, systems biology,
bioinformatics, or related discipline.
- 5+ 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.
- Extensive experience in analyzing a wide variety of molecular
profiles such as transcriptomics, proteomics, and scRNA-seq in an
integrative way
- Ability to interpret data from various experimental assays to
validate and propose new biological hypotheses.
- Strong scientific understanding of molecular biology,
preferably in Oncology
- Strong statistical background
- Expertise in programming and scripting languages (R, Python, or
Matlab)
- Track record of peer-reviewed publications in top-tier
scientific journals.
- Proven problem-solving skills, collaborative nature, and
adaptability across disciplines.
- Excellent verbal and written communication skills. Fluent
verbal and written English language skills Preferred Experience
- Experience with NGS technologies such as ATAC-Seq, and
Perturb-Seq.
- Ability to analyze genome wide CRISPR/CAS9 screen for
essentiality, drug sensitivity, and drug resistance along with
screen design.
- Experience in machine learning/deep learning.
- Knowledge of drug discovery in pre-clinical and early phase
drug development stagesThe starting compensation for this job is a
range from $121,000-$167,200, 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 performed.Final individual compensation
will be decided based on demonstrated experience. For more on
benefits, please visit our https://careers.bms.com/working-with-us.
Eligibility for specific benefits listed on our BMS Careers site
may vary based on the job and location#REDEVENT2022Around the
world, we are passionate about making an impact on the lives of
patients with serious diseases. Empowered to apply our individual
talents and diverse perspectives in an inclusive culture, our
shared values of passion, innovation, urgency, accountability,
inclusion and integrity bring out the highest potential of each of
our colleagues.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. Physical presence at the BMS
worksite or physical presence in the field is an essential job
function of this role which the Company deems critical to
collaboration, innovation, productivity, employee well-being and
engagement, and 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.Our company
is committed to ensuring that people with disabilities can excel
through a transparent recruitment process, reasonable workplace
adjustments and ongoing support in their roles. Applicants can
request an approval of accommodation prior to accepting a job
offer. If you require reasonable accommodation in completing this
application or if you are applying to a role based in the U.S. or
Puerto Rico and you believe that you are unable to receive a
COVID-19 vaccine due to a medical condition or sincerely held
religious belief, during or any part of the recruitment process,
please direct your inquiries to adastaffingsupport@bms.com. 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 area.Any data processed in connection
with role applications will be treated in accordance with
applicable data privacy policies and regulations.
Keywords: Bristol Myers Squibb, Cambridge , Principal Scientist, Computational Systems Biology - Predictive Sciences, Education / Teaching , Cambridge, Massachusetts
Didn't find what you're looking for? Search again!
Loading more jobs...