We are seeking to hire a Bioinformatics Scientist in Discovery. This position will provide an opportunity to create clinical candidates for an emerging and exciting biology and to translate that into a pipeline of differentiated medicines. The qualified candidate will join a team to employ bioinformatics and cellular biology approaches to identify biomarkers of senescence, identify novel targets, and further pioneer senescence biology and the relevance to various age-related diseases. This team will collaborate across research and development including in vitro pharmacology, in vivo pharmacology, and development to drive data collection, analysis, management, and mining.
Responsibilities will include design and execution of analysis procedures for bioinformatics-related laboratory data and the creation, utilization and maintenance of bioinformatics and computational tools to enhance research workflows. This will include providing insights and feedback to lab scientists for experimental design and implementation. The position requires knowledge of available bioinformatics and computational biology methodologies and their implementation in a human biology setting. The position requires flexibility and creativity as well as excellent written and verbal communication skills. The ideal candidate should be able to interact successfully with a network of internal and external collaborators. The applicant will be integrated into a fast-paced drug discovery team that includes cell biologists, in vitro and in vivo pharmacologists, biochemists, medicinal chemists, clinical scientists, etc.
- Ph.D. or equivalent experience in Bioinformatics, Molecular Biology, Cell Biology, Genomics or related field.
- 3+ years in a results-oriented commercial life science R&D environment with a strong record of goal oriented project delivery.
- Broad and deep experience with data generated by high-throughput molecular assays: microarrays, next-generation sequencing, multiplexed qPCR, flow cytometry, mass spectrometry proteomics, etc.
- Strong experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis.
- Proficiency with informatics / computational analysis tools and associated databases for the analysis and interpretation of DNA and protein sequence, OMICs and other biological data, especially those relevant to the fields of human biology.
- Comprehensive understanding of the statistical principles behind current best practices in high-throughput molecular data analysis.
- Demonstrated ability to effectively present complex results in a clear and concise manner that is accessible to a diverse audience of experimental and clinical scientists.
- Capacity to become familiar with the background knowledge and technology required to address the goals of a program or research task.
- Strong experience in integrating data from multiple platforms and data types and an ability to propose new targets based on OMICs data integrations.
- Experience working in a cancer drug discovery program and/or knowledge of cellular senescence and aging and age-related diseases is desirable.
- Wet laboratory experience is also desirable.
Please send resume and cover letter to email@example.com.