Bristol-Myers Squibb is a global biopharmaceutical company whose mission is to discover, develop and deliver innovative medicines that help patients prevail over serious diseases.
One shared journey is moving us forward at Bristol-Myers Squibb. Around the world, we are passionate about making an impact on the lives of patients with serious disease. Empowered to apply our individual talents and ideas so that we can learn and grow together. Driven to make a difference, from innovative research to hands-on community support. 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 the resources to pursue their goals, both at work and in their personal lives.
Proteomic Data Analyst
We are seeking a highly motivated bioinformatician with academic and/or industry experience to join our Cambridge MA Translational Bioinformatics group. The successful candidate will work with bioinformaticians, experimental biologists and others to analyze large-scale datasets from high throughput proteomic profiling studies. You will provide expert guidance in how to process, normalize and analyze data from large-scale proteomic studies and collaborate with internal and external scientists to generate and test hypotheses about mechanisms of resistance to cancer therapies.
Assess and integrate new methods and algorithms for proteomic data processing and analysis
Collaborate with fellow bioinformaticians, statisticians, biologists, and clinicians to identify critical questions that may be addressed using proteomic datasets
Analyze large-scale proteomic data sets to generate and test hypotheses about mechanisms of response and resistance in clinical and pre-clinical studies
Provide expertise on issues related to normalization, imputation and analysis of LC-MS Proteomic data
Present results and conclusions to internal and external stakeholders
Ph.D. Computer Science, Computational Biology, Bioinformatics, Molecular Biology, Biochemistry, or related disciplines with 3+ years of relevant industry or academic experience
Experience in oncology or immunology research is desirable
Able to communicate and collaborate effectively with scientists across a broad range of disciplines
Experience analyzing data and interpreting results from LC/MS proteomic profiling experiments
Familiar with targeted and unbiased proteomic profiling workflows
Familiar with standard proteomic data processing workflows such as MaxQuant, CHORUS and the CPTAC pipeline
Experience in developing methods or new approaches for analyzing large-scale proteomic datasets is desirable
Knowledge of R and relevant statistical methods are required.
Familiarity with Linux/Unix and cloud computing are required.
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.