Offers “Roche”

Expires soon Roche

Principal Data Scientist (Statistical Modeling)

  • Santa Clara (Santa Clara)
  • Studies / Statistics / Data

Job description



·  Job facts

Roche Sequencing Solutions (RSS) is getting ready to push the boundaries of medical diagnostics with a bleeding-edge new DNA sequencer. We use biophysics and biochemistry to read DNA at the single molecule level, attaining exquisite resolution and accuracy at a massive throughput. Developing our unique platform requires expertise across a range of fields: biophysics, biochemistry, software engineering, data science, machine learning, protein engineering, and circuit design, just to name a few. We combine the entrepreneurial spirit and agility of a startup with the stability and long-term view of Roche.

The Statistical Modeling team's primary mission is to mathematically model the sequencer and use those models to guide research and development within RSS. This is a tremendous responsibility and we are seeking an equally talented scientist. As an integral part of our team, you will contribute your creativity, expertise and relationships to develop biophysical and electrochemical mathematical models for the sequencer, and use those models to improve internal R&D pipelines and simulate future performance and designs. You will also perform deep dives into data and distill both experiments and simulations to help guide experimental teams in hitting both near-term development targets and multi-year moonshots.

Our culture is very open, innovative and supportive. Join us in driving the genomic revolution!

Responsibilities Include:

·  Build strong working relationships with experimental teams to provide guidance.
·  Develop biophysics and electrochemical models.
·  Commit to work proactively and collaboratively, find opportunities to enhance processes.
·  Write elegant, readable code.
·  Contribute to our evolving simulation and inference pipelines.
·  Assist experimental groups with statistical modeling and analysis.
·  Perform deep analyses on experimental data using a variety of internal pipelines.
·  Collaborate with bioinformatics, signal processing, deep learning, and software engineering teams.
·  Responsible for planning and timely delivery of assigned projects.

Minimum Qualifications:

·  Ph.D. degree in Physics, Biophysics, Chemical Engineering, or related scientific discipline with a minimum of 2 years of experience; or Master's degree with a minimum of 5 years of experience.
·  Very strong foundation in probabilistic/stochastic modeling, simulation, and inference, with an academic or industry track record.
·  Strong algorithms development skills: Python, MatLab.
·  Fluency with modern software engineering practices: version control, code reviews, automated testing, etc.
·  Experience with at least one probabilistic framework: TensorFlow-Probability, PyMC.
·  Clear thinker and communicator, verbal and in-writing; collaborative attitude.

Preferred Qualifications:

·  Experience in genomics is a big plus.
·  Experience in deep learning is a plus.
·  Experience with cloud computing.

·  Who we are

At Roche, 94,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.

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