Senior Principal Scientist, Computational Systems Biology - Predictive Sciences

Employer
Bristol Myers Squibb
Location
San Diego County, California, US
Salary
Competitive
Closing date
May 24, 2022

View more

Sector
Academic / Research
Field
Informatics / GIS
Discipline
Biology
Salary Type
Salary
Employment Type
Full time
At Bristol Myers Squibb, we are inspired by a single vision - transforming patients' lives through science. In oncology, hematology, immunology and cardiovascular disease - and one of the most diverse and promising pipelines in the industry - each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Job Description

We seek a collaborative and highly innovative computational and systems biologist to join our Predictive Sciences team to develop integrative computational and screening strategies that originate, elucidate and prioritize our next-generation targeted protein degradation therapies in both hematological and solid tumor indications.

This role will work with internal and external collaborators to develop new computational capabilities to accelerate our drug discovery pipeline. The successful applicant will play a key scientific role in characterizing novel mechanism of action (MoA) for protein degradation using multi-omics compound profiling data, identifying model systems and working with experimental groups to validate compound activities, binding specificity, MoA and relevant therapeutic hypothesis. We seek candidates who are passionate about learning a new drug discovery paradigm, bringing new medicines to the patients, and being comfortable working in a fast-paced and highly collaborative environment.

Responsibilities
  • Identify protein degradation mechanisms that can be leveraged for chemical space exploration and expansion, and interrogate these mechanisms for compound positioning/repurposing.
  • Collaborate with internal and external partners for target inference and MoA characterization using profiling data from proteomics, transcriptomics, and phenomics screens
  • Identify appropriate model systems and drive experimental strategies to validate compound activity, binding specificity to its targets, and MoA using high throughput and targeted assays.
  • Collaborate with colleagues in chemo-informatics and computer-aided drug design team to relate compound's chemical features with their MoA.
  • In-house adaptation of high-throughput technologies to generate and validate various hypotheses.
  • Author scientific reports and present methods, results, and conclusions to a publishable standard.
  • Contribute to planning and executing collaborative projects with leading academic and commercial research groups worldwide.

Requirements
  • Ph.D. in computational biology, systems biology, bioinformatics, or related discipline.
  • 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.
  • Proven expertise in analyzing and interpreting data from various assays used to validate compound's effect and properties, such as assays for protein-ligand binding, compound induced degradation, cell migration, viability, etc.
  • Extensive experience in analyzing various molecular profiles such as transcriptomics, proteomics, and scRNA-seq.
  • Demonstrated ability to analyze genome-wide CRISPR/CAS9 screen for essentiality, drug sensitivity, and drug resistance along with screen design.
  • Strong scientific understanding of molecular biology in Oncology.
  • Expertise in programming and scripting languages (R, Python, or Matlab).
  • Track record of peer-reviewed publications in top-tier scientific journals, particularly with proven cross-departmental collaboration.
  • Proven problem-solving skills, collaborative nature, and adaptability across disciplines.
  • Excellent verbal and written communication skills. Fluent verbal and written English language skills.
  • Strong statistical background.

Preferred Experience
  • Knowledge of drug discovery in pre-clinical and early phase drug development stages.
  • Knowledge of various compound screening data repositories
  • Experience in machine learning/deep learning.

Around 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.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert