Senior Bioinformatics, Translational Medicine at AstraZeneca in Boston, Massachusetts

Job Description:

The Senior Scientist will develop and apply innovative approaches to clinical data analysis, with a focus on proteomics and transcriptomics. This role is pivotal in our efforts within Translational Medicine, striving to harness the power of multi-omics integration to uncover novel biomarkers and pathways that are essential for understanding the response to therapy in rare diseases across a spectrum of therapeutic areas, including Hematology, Nephrology, Neuroscience, Cardiovascular, Metabolic Diseases, and Rare Oncology.




The successful candidate will be instrumental in creating workflows and applying innovative algorithms to analyze clinical multi-omics data. This includes the development of visualization tools tailored for the intricate interpretation of proteomics data, providing comprehensive analytical support for omics study design in close collaboration with clinical, biomarker, and translational groups. A key aspect of this role involves the integration of proteomics data with other omics datasets, synthesizing complex information into actionable insights and clear, concise recommendations for our collaborators.




Contribute to the design and analysis of clinical trials, employing advanced biostatistical methods to ensure the statistical rigor and clinical relevance of our studies. This role also includes contributing to the delivery of Clinical Study Reports (CSRs), regulatory submissions, and the development of standard processes aimed at enhancing the quality, efficiency, and effectiveness of the Clinical Bioinformatics group. Through these efforts, the Senior Scientist will play a crucial role in advancing our understanding of rare diseases and contributing to the development of novel therapeutic strategies.




Accountabilities




Advanced Statistical and Bioinformatics Analysis: Utilize sophisticated statistical techniques, including survival analysis, longitudinal data analysis, mixed-effects models, and machine learning algorithms, to analyze and interpret data from clinical trials and research studies. Design and implement bioinformatics pipelines for the integration and analysis of multi-omics data sets, demonstrating advanced statistical models to derive biological insights.




Clinical Trial Design and Analysis: Spearhead the bioinformatics and biostatistics components of clinical trial design. This includes conducting power analysis, estimating sample sizes, devising randomization strategies, and developing comprehensive statistical analysis plans. Play a pivotal role in interpreting trial results to ascertain their clinical relevance.




Collaboration and Strategy Development: Engage in collaborative research efforts with interdisciplinary teams, ensuring the statistical integrity of study designs and the validity of data interpretations. Offer biostatistical expertise to aid in decision-making and the formulation of research strategies.




Knowledge Dissemination and Regulatory Submissions: Effectively communicate complex statistical concepts and findings to a diverse audience, including scientists, clinicians, and team members, through both publications and presentations. Contribute to the delivery of Clinical Study Reports (CSRs), Study Data Tabulation Model (SDTM)/Analysis Data Model (ADaM) databases, and Tables, Figures, and Listings (TFL) outputs, adhering to applicable data standards and regulations. Assist in the statistical programming aspects of regulatory submissions, including the specification and delivery of pooled safety/efficacy databases and outputs, as well as responses to regulatory inquiries.




Process Improvement: Actively contribute to the development of standard processes aimed at enhancing the quality, efficiency, and effectiveness of the Clinical Bioinformatics group




Essential Skills/Experience

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  MS degree required in Bioinformatics, Computational Biology, Biostatistics, or a closely related field, Ph.D. preferred
  


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  Minimum of 2 years experience in pharma/biotech industry, in bioinformatics and/or biostatistics for target identification, biomarkers of response and -omics patient's profiling.
  


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  Advanced computational skills and experience in designing and running data analyses in a cloud environment
  


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  Statistical Expertise: Deep understanding of statistical methods used in clinical data analysis, with a proven track record of applying these techniques to biological data. Familiarity with software such as R is critical (SAS or SPSS optional)
  


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  Multi-Omics Proficiency: Extensive experience in the analysis of multi-omics data, including genomics, transcriptomics, proteomics, and metabolomics, with a strong grasp of the underlying statistical principles.
  


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  Technical Skills: Proficiency in programming languages (e.g., R, Python) and experience with bioinformatics tools and databases. Ability to handle large datasets and perform complex data analyses.
  


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  Communication Skills: Exceptional ability to communicate statistical concepts and findings to diverse audiences, coupled with strong publication and presentation skills.
  

Desirable Skills/Experience

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  Exposure to network biology, knowledge graphs, graph ML and computational drug design is desired but not required
  


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  Clinical Trials Experience: Proven experience/exposure in the statistical aspects of clinical trial design, execution, and analysis. Awareness of regulatory requirements and guidelines for clinical research is a plus.
  

When we put unexpected teams in the same room, we ignite bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.




Explore rare opportunities! Rare disease biopharma is at the forefront of biomedical science. Remaining transparent, objective and ethical, we push the boundaries of science, translating complex biology into transformative medicines. Uniquely positioned - with resources and global reach - we also have potent capabilities that are shaping the future of Rare disease into new areas of great unmet need to help people fully live their best lives.




Ready to make a difference? Apply now!



AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. Apply Now