Senior Computational Biologist – Proteomics

Palo Alto, California

  Biostatistics

Permanent

Location:

  • on-site & remote offered
  • Palo Alto area

Company Overview:

  • We are currently partnered with one of the most well renowned Biotech Research companies in the world.
  • They are using real-time data and analytics to develop therapeutics more efficiently.
  • Their Drug Development methods are changing the way of Drug Discovery Research.

 

Team:

  • A team of Computational Biology, Data Scientists and Data Engineers
  • Collaborate with scientists, entrepreneurs, and domain experts

 

Job Overview:

  • Build computational platforms for advancing the research and development of proteomics.
  • Develop solutions to challenging computational problems and work with different types of data such as electronic medical records, computational chemistry, biology, imaging, text notes, and clinical trials

 

Responsibilities:

  • Be part of and lead a team of data scientists and data engineers
  • Develop solutions to core scientific problems
  • Be comfortable with scientific risk
  • Articulate and solve large problems by breaking them down into actionable points
  • Be able to organize your time and work independently
  • Work with clinical and pre-clinical teams
  • Sharing and adhering to coding standards

 

Must have:

  • Ph.D. in computational biology, computer science, or a related discipline
  • Strong programming skills with programs such as Python, R, SQL, Scala
  • Single-cell analysis experience
  • Experience with machine learning, statistical analysis & high throughput analysis
  • Must know how to do linear/logistic regression, mixed effect modeling, hierarchical models, Bayesian networks, non-negative matrix factorization, CCA/PLS/LDA, etc.

 

Nice to have:

  • Experience with causal inference
  • Experience with tools such as Pandas, Scikit-learn, Tensorflow, PyTorch, Jupyter, or Spark
  • Familiar with traditional drug discovery
  • Know the development processes
  • Knowledge of computer science concepts