Lead computational investigations into the impact of novel formulations on biology. Partner with cross-functional teams to develop principled design of experiment strategies (e.g., adaptive designs, optimal designs), statistical models and computational methods; Design and carry out data analysis strategies (normalization, statistical inference) for biophysical measurements and bioassays (e.g., ELISA, amplicon-seq, mass spec); Explore and build novel statistical models or machine learning methods to advance our platform technology; Collaborate with bioinformatic engineers and develop tools to enable data democratization; Independently manage multiple concurrent, fast-paced projects across Moderna’s research ecosystem. Partner with wet-lab and dry-lab scientists
Requirements:
Ph.D. in Statistics, Biostatistics, or related quantitative discipline; 5+ years of relevant academia or industry experience (post PhD) is required; Establish records working with cross-functional teams (e.g., publications, work experiences); Strong coding skills with R and Python
Text:
Principal Scientist, Statistics & Computational Methods Lead computational investigations into the impact of novel formulations on biology. Partner with cross-functional teams to develop principled design of experiment strategies (e.g., adaptive designs, optimal designs), statistical models and computational methods; Design and carry out data analysis strategies (normalization, statistical inference) for biophysical measurements and bioassays (e.g., ELISA, amplicon-seq, mass spec); Explore and build novel statistical models or machine learning methods to advance our platform technology; Collaborate with bioinformatic engineers and develop tools to enable data democratization; Independently manage multiple concurrent, fast-paced projects across Moderna’s research ecosystem. Partner with wet-lab and dry-lab scientists Ph.D. in Statistics, Biostatistics, or related quantitative discipline; 5+ years of relevant academia or industry experience (post PhD) is required; Establish records working with cross-functional teams (e.g., publications, work experiences); Strong coding skills with R and Python
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