Principal Scientist, Late Stage Translational Bioinformatics Oncology

Job Description:
We are seeking a talented and motivated bioinformatics scientist to join our Late Stage Translational Bioinformatics Oncology team within the Translational Bioinformatics group at Bristol-Myers Squibb (BMS). This team is responsible for applying cutting-edge bioinformatics, statistics, and data-mining methods; working with clinical and large- scale omics data sets from BMS’s indus try -leading late stage oncology/immuno-oncology (I-O) pipeline ; influencing development strategies and maximizing values of BMS ’ s portfolio . T his team of bioinformatics sci entists also has the exciting opportunity to make major contributions to the scientific knowledge of cancer biology and to the improvement of treatment for cancer patients .

Responsibilities:

• Engage late stage clinical development team, biomarker scientist s , biostatistician s and others key stakeh olders to develop and execute biomarker data analysis strategies for late stage oncology clinical studies
• Perform analysis of clinical and biomarker datasets (e.g., large-scale omics datasets including RNASeq , e xome and w hole g enome s equencing, single cell sequencing) and derive clinically meaningful interpretations
• Identify potential biomarkers for patient enrichment strategies and gain mechanistic insights of responses and resistances to I - O treatments
• Summarize analysis results and report conclusions to BMS decision-making bodies; help com municat e conclusions to regulatory agencies and the broad scientific community
• Evaluate and adapt latest scientific findings and methods into bioinformatics analysis plans
• S erve as a subject- matter expert and pro vide bioinformatics guidance in cross functional teams
• M anage alliances and external collaborations

• Ph.D. in bioinformatics, statistics, biological or physical science with 10 + years of industry experience
• Demonstrated experience working with clinical study data is required; familiar with late stage clinical development process
• Deep understanding of disease biology in immune-oncology is a strong plus
• Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects while conforming with rigorous requirements of clinical studies
• Broad experience with data generated by one or more high-throughput molecular assays: next-generation sequencing, flow cytometry, mass spectrometry proteomics, etc.
• Strong experience using high-level programming language s such as R, MATLAB, Python or Perl for complex data analysis and reproducible research practices
• Strong problem-solving and collaboration skills, as well as rigorous and creative thinking
• Excellent communication, data presentation and visualization skills
• Capable of establishing strong working relationships across the organization
• Strong publication record

Requeriments :

• Doctorate Degree

Skills :

• Biology
• Biomarker Discovery
• Cancer biology
• immunology
• Next Generation Sequencing
• Programing in Python
• Programing Skills
• Programming in Matlab
• Programming in PERL
• Programming in R
• RNA-seq

Areas :

• Bioinformatics

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