Company

Bristol-Myers SquibbSee more

addressAddressCambridge, MA
salary Salary$122K - $154K a year
CategoryInformation Technology

Job description

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: 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 learning—across 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, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.

Our focus within the Mechanisms of Cancer Resistance (MoCR) domain encompasses computational research across genomic, structural, and molecular informatics, as well as computational and systems biology, patient selection, translational biomarker research, and expanding fields such as knowledge science, epidemiology, and machine learning. This interdisciplinary effort spans the entire drug discovery and development lifecycle within the MoCR therapeutic area.

By joining our team, you'll be at the forefront of applied computational research, contributing to advancing a rich pipeline of next-generation medicines to overcome cancer resistance mechanisms. You'll have the opportunity to grow and excel professionally in an environment that fosters innovation and collaboration.

Key Responsibilities:

  • Develop hypotheses to stratify patients and prioritize indications, guiding drug mechanism research and clinical oncology development.
  • Analyze molecular, clinical, and demographic data using advanced computational and statistical methods to uncover disease mechanisms, predict drug responses, and anticipate adverse events.
  • Conduct comprehensive analyses across various omics datasets, including RNAseq, WES, TCRseq, ctDNA, CTC, as well as flow cytometry, cytokine profiling, IHC, proteomics, and other data types.
  • Craft and implement advanced analytical frameworks, integrating statistical techniques and visualization methods to interpret multi-dimensional biomarker data for novel insights.
  • Collaborate with the translational team and computational biologists, fostering synergy in research approach.
  • Provide computational biology insights, enriched with statistical analysis, to cross-functional teams, aiding strategic decision-making in drug development.
  • Present and document research findings and methodologies, incorporating analyses, to meet publication and peer review standards.

Basic Qualifications:

  • Bachelor's Degree in computational biology, human genetics, biostatistics, statistics, bioinformatics, or related fields, with 5+ years
  • Or Master's Degree in computational biology, human genetics, biostatistics, statistics, bioinformatics, or related fields, with 3+ years
  • Or Ph.D. in computational biology, human genetics, biostatistics, statistics, bioinformatics, or related fields.

Preferred Qualifications:

  • Or Ph.D. in computational biology, human genetics, biostatistics, statistics, bioinformatics, or related fields.
  • Minimum of 4 years of experience in the analysis, integration, and interpretation of high-throughput biological data substantiated by high-quality scientific publications.
  • Advanced proficiency in statistical programming and data manipulation, using R/Bioconductor, Python, and other relevant statistical software.
  • Demonstrable expertise in biostatistics, capable of applying various computational and statistical analysis methods to complex datasets.
  • Experience with longitudinal data analysis, data deconvolution, machine learning techniques, and other advanced statistical methodologies.
  • Familiarity with version control systems (e.g., Git) and high-performance computing platforms, including cloud computing and big data analytics platforms.
  • A proven scientific problem-solver with a collaborative spirit, capable of contributing significantly beyond individual projects.
  • Excellent communication skills with the ability to articulate complex computational and statistical research findings to a multidisciplinary scientific team.

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 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.

Refer code: 8622560. Bristol-Myers Squibb - The previous day - 2024-03-18 09:08

Bristol-Myers Squibb

Cambridge, MA
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