Bioinformatics Scientist II

The Position:

We are seeking an exceptionally talented Bioinformatics Scientist to join our group in our Data Analysis Team (DAT).  This individual will be responsible for constructing, updating, and monitoring robust quality control (QC) processes for microarray and NGS-based high-volume Laboratory Developed Test (LDT) disease diagnostic products run in CLIA labs, with a primary focus on RNA-based assays. The role involves overseeing the day-to-day work maintaining operational excellence of our products, providing guidance for process improvements, and troubleshooting efforts in collaboration with cross-functional teams.

The successful candidate will play a vital role in ensuring the execution of life-saving diagnostic products and ensure consistent performance throughout routine CLIA updates, including reagents, equipment, and processes. This role will also actively support design verification and validation test plans, protocols, procedures, and reports and actively participate in cross-functional design reviews.

Working in a well-supported environment, the candidate will have access to the tools, technologies, and expertise necessary for success. In this intensely collaborative and fast-paced environment, the individual will gain valuable knowledge in diagnostic product development and sustaining, while experiencing the swift implementation of their efforts towards products that will transform patient lives.

This is a hybrid position based in our San Diego or South San Francisco, CA office. Candidate will be required to work Pacific Time hours.

Essential Requirements Include:

• A Master’s or Ph.D. in Bioinformatics, Computational Biology, or related field of study.
• Minimum of 2 years (Ph.D.) or 4 years (M.Sc.) of relevant work experience, with demonstrated expertise in working with high-throughput.
• Working knowledge of genomics and molecular biology.
• Strong analytical skills and demonstrated proficiency in programming languages such as R, and/or Python.
• Experience in data visualization, data wrangling, and SQL is required.
• The candidate should have hands-on experience with high-dimensional data and cutting-edge bioinformatics pipelines.
• Comfort with Linux-based operating systems and good software engineering practices including maintaining code via version controlled systems (e.g., GitHub, Bitbucket).
• Experience with AWS Services, S3, EC2.
• Experience in building R shiny apps or data dashboards with BI tools such as Tableau.
• Excellent written and verbal communication and presentation skills are required.
• Ability to translate complex computational concepts in such a way that scientifically trained individuals in other disciplines can readily understand their significance.

Who You Are:

• Passionate about genomics and data science.
• Deeply committed to improve patient lives.
• Motivated to use novel analytical approaches to bring new insights to biological problems.
• The ability to research solutions to new problems; rapidly learn and adopt new methods as necessary.
• Enthusiastic, collaborative, and positive "can-do" attitude is a must.
• Thrives in an environment of shared goals and responsibilities.
• A great team player with solid technical training and always apply the highest scientific rigor.
• Ability to be highly productive under aggressive and tight timelines; fast adapter to change with a calm and steady energy.
• Skilled in active listening, welcomes feedback from others, and constantly strives for improvement to better serve the team’s needs.

Preferred Skills:

• Prior experience working with clinical tests in a regulated environment (i.e., CAP, CLIA, NYS, ISO 15189, ISO13485).
• Working experience in regulated diagnostic assay development.

#LI-Hybrid