Research Prime

Scientist - Computational Systems Biology

Organisation Name: Bristol Myers Squibb
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Country: Spain

Job Description:

Working with Us Challenging. Meaningful. Life-changing. Those arent 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. Youll 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-us. CITRE based in Seville Spain is Bristol Myers Squibbs research institute in Europe and our link to the European research community. Informatics & Predictive Sciences at CITRE performs innovative computational research to inform decisions across all stages of drug development. Areas of research include computational and network biology machine/deep learning cheminformatics predictive modeling patient stratification and method development for analysis and interpretation of biological data. We seek an innovative Computational Scientist with experience in Systems Biology to join our team and contribute to the computational efforts at both early development and preclinical studies to guide translational research. This position offers the opportunity to directly impact the origination and development of novel therapies in oncology with unmet medical needs as well as broad exposure to diverse clinical and analytical research challenges. The successful candidate will work alongside a multidisciplinary group of wet-lab clinicians and computational scientists to design and lead analysis of molecular profiling experiments for target validation mechanism of action and biomarker identification using both preclinical and clinical assets. Previous experience developing computational biology strategies to generate and test actionable hypothesis from genomics NGS single-cell and multi-modal data is imperative. Responsibilities Collaborate as a member of cross functional teams to design analyze and interpret genomics epigenetics and proteomics experiments for elucidating mechanisms of drug sensitivity/resistance and prioritizing synergistic combinations. Develop and apply leading-edge network and systems biology approaches to analyze multi-modal and heterogenous datasets from internal public and partner sources Perform analysis of clinical and preclinical genomic datasets using integrative and ensemble learning approaches Participate in the scientific discussion of the results within a multidisciplinary team and translate the mechanistic findings from preclinical models to clinical settings Author scientific reports to publishable standard. Contribute to planning and execution of collaborative projects with leading academic and commercial research groups worldwide. Background experience & complementary knowledge Ph.D. in computational biology bioinformatics biostatistics or related field from a recognized higher-education establishment. 2+ years of post-doctoral experience applying quantitative approaches to solve biological problems in university hospital pharma or biotech research environments Statistical programming and data manipulation skills using contemporary open-source bioinformatics tools (e.g. R/Bioconductor and Python) and databases using readable and reproducible code Experience in computational cancer research applied to oncology hematology immunoinflammatory and other therapeutic areas Demonstrated ability to infer molecular mechanisms from NGS data generated by perturbation of in-vitro in-vivo and ex-vivo models using well stablished bioinformatics tools and statistical methods Expertise applying computational biology methods to analyze multi-modal and integrate orthogonal datasets (e.g. unsupervised/supervised machine learning factor analysis Bayesian inference and network analysis). Familiarity with human interactome resources and databases (e.g. protein-protein interactions regulatory and metabolic networks). Tracked 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 prerequisite. Bristol-Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to gender identity race color religion sexual orientation national origin or disability. If you come across a role that intrigues you but doesnt 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 career. 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 our colleagues. On-site Protocol 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. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application or in any part of the recruitment process direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff customers patients and communities. As a result the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. 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.

Posting Date: Aug 07, 2023
Closing Date:
Organisation Website/Careers Page: https://careers.bms.com/jobs/R1571493?lang=en-us


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