Associate Principal Data Scientist - Computational Biology

Key Skills

Python Programming, English Proficiency, Data science techniques, AI technology, R Programming, Statistical modeling, Computational Algorithms, Oncology, Proteomics, Genomic data

Job Description

Biomedical Data Science is a global computational biology team within Bayer Research & Early Development Oncology. We collaborate with our preclinical and clinical colleagues to learn mechanistic insights that accelerate drug discovery and development. In particular, we evaluate therapeutic hypotheses and resistance mechanisms in molecularly defined sub-types of cancer. Our particular expertise includes a variety of high-throughput tumor molecular profiling methods, including cancer genomics, RNA-seq and single-cell multi-omics.

We are growing our team of computational biologists in Cambridge. The Associate Principal Scientist will provide statistical analyses and oncology understanding to help multidisciplinary teams make stage-gate decisions on portfolio projects. In this position, you will:

• Liaise and interface with researchers from various backgrounds (biology, pharmacology, chemistry, translational sciences) in order to identify critical points in drug discovery projects, and provide appropriate solutions for such critical points through analyses of available complex datasets
• Collaborate with pharmacologists and chemists to nominate novel cancer targets
• Design and conduct computational analyses to understand the mechanism of action and disease relevance of oncology programs, from early research to clinical development
• Lead analyses of relevant datasets, which will include human genomics, transcriptomics, proteomics, and screening data
• Collaborate with IT Product Platforms and Data Sciences & AI to the development of statistical analyses, bioinformatics pipelines, and visualizations of genomic data sets

WHO YOU ARE

Your success will be driven by your demonstration of our life values. more specifically related to this position, Bayer seeks an incumbent who possesses the following:

Qualifications

• PhD in life sciences (bioinformatics, chemistry, biology, medicine, physics, informatics) or equivalent background with very strong statistical or computational focus
• Demonstrated experience with project prioritization and interdisciplinary collaborations in a matrix organization
• Demonstrated experience in successful delivery of valuable analysis through application of domain knowledge
• 3+ years of experience in the analysis of DNA-seq, RNA-seq or single-cell RNA datasets in oncology
• Proficient in programming and analysis skills (e.g. R, Python)
• Strong analytical thinking and scientific rigor
• Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable manner
• Fluent in English

Location: Cambridge, MA

YOUR APPLICATION

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.

To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.