Scientist/Senior Scientist, Bioinformatics

Location
San Francisco Bay Area
Posted
Jul 16, 2021
Hotbed
Biotech Bay
Required Education
Doctorate/PHD/MD
Position Type
Full time
Based in Menlo Park, CA since 2018, Zai Lab U.S. is focused on discovering and developing novel therapies for the treatment of cancer and inflammatory diseases. We are an innovative, research-based, commercial stage company, with over 850 employees worldwide and a diversified and strong pipeline poised for continued growth. This is an exciting time for us as we build our R&D Drug Discovery team and advance our global pipeline, aiming to produce 1-2 global INDs per year.

Zai Lab is seeking an innovative computational biologist to help drive Zai Laboratory's translational efforts. This will include aiding the identification of new targets, developing patient stratification strategies, and helping guide the development of Zai's clinical pipeline. The successful candidate will have a proven track-record of converting multi-omic datasets into clinically actionable insights.

This position is in Menlo Park, CA.

Responsibilities:

- Collaborate in leading computational efforts with multi-disciplinary teams, and apply cutting-edge computational approaches to gain maximum insights from large, multi-omic pre-clinical, clinical, and real-world datasets.

- Collaborate with cancer biologists, immunologists, chemists, statisticians, and develop computational strategies and build tools for target discovery, patient stratification, and development of pharmacodynamic and predictive genomic signatures.

- Effectively communicate findings at internal and external meetings.

- Contribute to building a culture that embraces continuous learning and improvement and disease biology expertise.

Qualifications:

- Master's in computational biology, engineering, statistics, cancer biology, immunology, genetics, or similar field, with 8+ years of experience.

OR

- Ph.D. in computational biology, engineering, statistics, cancer biology, immunology, genetics, or similar field, with 2+ years of experience.

- Experience analyzing multi-dimensional genomic and/or proteomic datasets from clinical and preclinical samples.

- Expertise performing data analysis using Python or R, as well as setting up *nix-based systems for data analysis such as Jupyter Notebook servers.

- Strong data science skillset. Familiar with statistical methods such as data normalization techniques, distribution comparison, enrichment analysis, clustering methods, and multiple hypothesis correction.

- Expertise with at least one data visualization package such as matplotlib, plotly, vega, or ggplot.

- Excellent independent problem-solving and collaboration skills.

- Ability to clearly communicate computationally-derived results with non-bioinformaticians.

Preferred Qualifications:

- Clinical development and/or biopharma industry experience.

- Experience generating robust predictive and/or prognostic signatures highly desired

- A strong background in oncology and/or immuno-oncology.

- Current experience with NGS-processing software such as samtools, RSEM, and/or STAR.

- Familiarity with a variety of database query languages (both SQL and NoSQL).

- Experience with big data tooling (e.g. Spark) and/or distributed computing systems (e.g. Kubernetes).

- Strong interpersonal ability to work collaboratively in a cross-functional team setting.

- Strong track record of productivity, as evidenced by driving project forward and robust publications.

- Enthusiastic, open-minded, and active in scientific development and personal growth.

If you are interested in this position, please send an email with your resume.