The Translational Analytics group at Biogen is in search of a talented and motivated computational biologist with experience in experiments to join a multidisciplinary team. Historically there have been numerous candidate drugs that failed in clinical trials despite their efficacy demonstrated in preclinical models. To reduce this gap and increase the probability of success, our group is aiming to establish a strong “chain of translatability” (Moffat, Nat.Rev.Drug Disc.,2017). leveraging NGS data. Toward this end, you will be investigating translatability of in-vivo and ­in-vitro models to human, target identification, and patient stratification, by integrating multi-omics data and establishing necessary computational frameworks. The ideal candidate will also be experienced with NGS method development and in-vitro cell biology experiments, to develop cell-type specific NGS profiling methods for human tissues, and to perform in-vitro perturbation experiments to characterize the system and to validate the computational predictions.

• Using computational methods, integrate and analyze internal and external ‘omics data to     
• • investigate translatability between ­in-vivo, in-vitro models and human
  •  identify novel targets
  • stratify patients
• Develop experimental methods for cell-type specific RNA-seq and epigenetic profiling of postmortem tissues.
• Design and execute perturbation experiments with in-vitro models for investigating translatability.
• Deliver and present the results to project teams that help establish therapeutic target strategy

​​​​​​​Basic

• PhD in computational biology, bioinformatics, systems biology, or related fields,
• and 2+ years of relevant postdoc or industry experience.
• Expertise in bulk- and single-cell/nucleus RNA-seq data analysis
• Extensive experience in ‘omics data integrative analysis
• Experience in machine learning
•  Creative use of systems biology methods for developing necessary computational frameworks
• Proficient in R, Python, and use of HPC clusters, in the context of computational biology Experimental experience in NGS profiling method development
• Experience in in-vitro experiments and cell biology
• Demonstrated ability to work independently by designing, executing, and troubleshooting given tasks
•  Excellent verbal, written communication, and presentation skill                           

Preferred

• Experience in analyzing epigenetics data and RNA splicing analysis
•  Experience in flow-cytometry
• Knowledge of neurodegenerative disease

All your information will be kept confidential according to EEO guidelines.