(Senior) Clinical Data Scientist - Biostatistician

Location
South San Francisco, CA
Posted
Jul 09, 2021
Ref
133
Hotbed
Biotech Bay
Required Education
Doctorate/PHD/MD
Position Type
Full time

The Opportunity

Key to insitro’s approach to rethinking drug development is leveraging disease models, genetics, and clinical datasets to link in vitro and cellular phenotypes with patient outcomes.

As a Clinical Data Scientist, you will lead the development of cutting edge statistical approaches and workflows to analyze large-scale multi-modal human phenotypic datasets, including multiple clinical biomarkers, medical imaging, and longitudinal data. You will work with clinical data from both clinical trials and data from large cohorts, such as the UK Biobank, EHRs, and claims data. You will apply and develop machine learning and statistical approaches to identify disease signatures in high-dimensional phenotypic and genomic data, enabling analyses that suggest disease-relevant targets and providing insights that guide the development of in vitro disease models. You will also work closely with a cross-functional team of life scientists, statistical geneticists,  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 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, biostats, machine learning or a related discipline, or equivalent practical experience;
  • + 3 years hands on experience with demonstrated ability to apply and develop cutting edge methods for analyzing clinical data;
  • Proven experience working with longitudinal or medical imaging datasets;
  • Demonstrated ability to rigorously deal with confounders and complexities in human clinical data;
  • Strong fundamentals in deep learning or applied multivariate statistics;
  • Proficiency in working with large-scale datasets in Python; experience with R, C/C++ or other compiled, statically typed languages is a plus;
  • 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 genetic analyses (e.g., GWAS, rare variant analysis, etc) and / or 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)


Benefits at insitro

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


About insitro

insitro is a drug discovery and development company using machine learning and data generation at scale to transform the way that drugs are discovered and delivered to patients. We rely on human genetic cohorts, human-derived cellular disease models, and high-throughput biology and chemistry to identify coherent patient segments, actionable therapeutic targets, and new or existing chemical matter. The goal is to deliver predictive insights to improve the probability of success and reduce the number of costly dead ends along the R&D journey. The company has established enabling collaborations with Gilead in NASH and Bristol Myers Squibb in ALS and is building a pipeline of wholly owned and partnered medicines leveraging its unique insights on patient biomarkers, targets, and molecules. insitro is located in South San Francisco, CA and has raised over $600M from top tech, biotech, and crossover investors since formation in 2018. For more information on insitro, please visit the company’s website at www.insitro.com.