Key to insitro’s approach to rethinking drug development is linking in vitro cellular phenotypes with patient phenotypes. As a Clinical Data Scientist, you will lead the development of cutting edge statistical approaches and workflows to analyze large-scale human cohorts with high-dimensional, multi-modality, longitudinal, clinical and phenotypic data. You will work with clinical data from both registrational randomized clinical trial, and data from large public cohort, such as the UK Biobank. You will use statistical analysis that involve integration of clinical and genomic data to find signatures in the data that will guide in vitro disease model development. You will also work closely with a cross-functional team of life scientists, statistical geneticist, bioengineers and machine learning scientists to integrate human level data with our high-throughput in-house in vitro genomic and phenotypic data to identify therapeutic targets and develop drugs that have high efficacy and low toxicity.
You will be joining as the founding team of a biotech startup that has long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!
Ph.D. in statistics, epidemiology, genetics, computational biology or a related discipline, or equivalent practical experience.
+ 3 years hands on experience with clinical and genomic data analysis
Demonstrated ability to use and develop cutting edge methods for analyzing clinical and genomic data
Strong fundamentals in applied multivariate statistics; experience working with statistical models for complex datasets, effectively measuring goodness of fit and estimating confidence
Proven knowledge of longitudinal data analysis
Knowledge of ICH-GCP and other relevant standards and guidelines
Proficiency in working with large-scale datasets in Python; experience with R is a plus
Experience working with SAS and ADaM files
Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
Passion for making a difference in the world
Nice to Have
Experience working with genomic data from different modalities (DNA sequencing, RNA-seq, proteomics, DNA accessibility assays, etc.)
Familiarity with cloud computing services (e.g., AWS or GCP) and workflow management tools or batch scheduling systems (e.g. SLURM)
Proficiency in Linux environment (including shell/Bash scripting), experience with database languages (e.g., SQL) and experience with version control practices and tools (e.g. Git)
Experience working with C/C++ or other compiled, statically typed, languages
Benefits at insitro
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