Research Prime

Senior Scientist, Machine Learning and Bioinformatics

Organisation Name: Bristol Myers Squibb
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Country: United States

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. When you join BMS you are joining a diverse high-achieving team united by a common mission. The Informatics and Predictive Sciences (IPS) mission is to Pioneer Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic structural and molecular informatics computational and systems biology patient selection and translational biomarker research and broader fields including knowledge science epidemiology and machine learningacross the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field both inside and outside the company. We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so our work transforms the lives of patients as well as our own lives and careers. Here youll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. Youll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma. We seek a highly innovative and collaborative machine learning scientist to join our Translational Bioinformatics Immunology Cardiovascular and Neurology (ICN) team. This individual will contribute to our fast-growing effort to apply cutting-edge AI/ML techniques to advance BMSs industry leading ICN programs. The role offers unprecedented opportunity to identify unmet medical needs in complex ICN diseases and impact the discovery and prioritization of BMSs transformational and life-changing therapies. We encourage inquiries from those with a strong background in AI/ML who also have a strong interest in innovation and interdisciplinary application of computational approaches to life sciences data. Responsibilities Build and apply advanced deep learning models to construct gene/protein networks form disease pathogenesis hypothesis and identify drug targets (e.g. using self-supervised learning large language models deep learning or graph neural networks). Leverage ML approaches to define patient endotypes propose precision medicine plans and inform prioritization of target discovery. Analyze transcriptomics proteomics exome and whole genome sequencing multiplex flow cytometry and other high throughput assay data from internal public and partner sources. Collaborate as a member of cross-functional teams to validate in silico findings and improve ML workflows. Author scientific reports and present methods results and conclusions to publishable standard. Contribute to planning and execution of collaborative projects with leading academic and commercial research groups worldwide. Basic Qualifications: Bachelor's Degree with machine learning focus in computer science bioinformatics computational chemistry or a related field from a recognized higher-education institution and 7+ years of academic / industry experience or Master's Degree with machine learning focus in computer science bioinformatics computational chemistry or a related field from a recognized higher-education institution and 5+ years of academic / industry experience or PhD with machine learning focus in computer science bioinformatics computational chemistry or a related field from a recognized higher-education institution and 2+ years of academic / industry experience Preferred Qualifications: Ph.D. with machine learning focus in computer science bioinformatics computational chemistry or a related field from a recognized higher-education institution Two (2) or more years relevant experience in machine learning research. Position can be filled at a different level based on depth of experience and scientific expertise. Strong experience in applying contemporary deep learning methods preferably with demonstrated application of either active generative graph-based or other deep learning approaches. Expertise in scientific programming languages (e.g. Python R) and libraries (e.g. PyTorch Tensorflow) cloud-based computing and data manipulation. Demonstrated problem-solving skills adaptability across disciplines and collaborative nature. Excellent verbal and written communication skills. Verbal and written English language fluency are prerequisite. #QLR 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: Sep 21, 2023
Closing Date:
Organisation Website/Careers Page: https://careers.bms.com/jobs/R1572117?lang=en-us


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