Careers

(Senior) Clinical Data Scientist - Biostatistician at Insitro
South San Francisco, CA, US

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! 

About You

  • 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

  • Excellent medical, dental, and vision coverage
  • Open vacation policy
  • Team lunches (catered daily)
  • Commuter benefits
  • Paid parental leave

About insitro
insitro is an exciting startup company that aims to take a new approach to drug development: one with big data and machine learning at its core. We plan to build on the ground-breaking innovations that have occurred in life sciences to develop large data sets that are designed from the start to allow machine learning to address fundamental bottlenecks in the drug development process. Our goal is to cure more people, sooner, and at a much lower cost.
 
We are fortunate to have the strong support from the top investors in both biotech and tech: ARCH Ventures, Foresite Capital, A16Z, GV, and Third Rock Ventures. We are building a remarkable team that embodies a new type of culture, one based on a true partnership between scientists, engineers, and data scientists. Together we are working to define the problems, design experiments, analyze the data, and derive the insights that will lead us to new therapeutics. Join us, and help make a difference to patients!

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