Data Scientist & Data Engineer

Decipher Biosciences, a subsidiary of Veracyte, Inc., is a dynamic entrepreneurial startup molecular diagnostics company focused on cancer genomics.  Whether on the phone with patients, or in the cloud with big data, our innovators are working hard to give back to the patient what cancer takes away: information for life.

The Data (bio)Informatics Science and Engineering (DISE) team at Decipher Biosciences, the Urological Cancer Division of Veracyte (NASDAQ: VCYT) is a passionate group of scientists and software engineers striving to use the best science and engineering knowledge to develop data pipelines and software that make genomic data actionable to cancer patients and their doctors. We develop and deploy machine learning models based on multi-omics data to reveal new insights in cancer biology. We also develop software/apps that facilitates better data visualization and interpretation for colleagues, physicians, and patients. We are responsible for maintaining and analyzing one of the largest proprietary transcriptomic and clinical data sets in oncology.

As a data scientist & data engineer, you will work closely with a team of research and production professionals. You will be a key member in preparing, interpreting and analyzing business, multi-omics genomic and clinical data, providing analysis support to our colleagues and our external partners. You will also participate in our data-related software design, development, and maintenance. This role requires a broad knowledge of cancer biology, oncology, bioinformatics, statistics, and programming, paired with effective communication skills, a strong sense of diligence, and timeliness.

Duties and Tasks

• Develop and maintain ETL, data cleaning up and visualization pipelines with focus on the data from Decipher commercial business.
• Maintain, improve, and advance DataOps and MLOps infrastructure and operational processes.
• Perform data analysis and discover insights using a wide variety of data, such as business process, genomics, and clinical data.
• Conduct data analysis in support of clinical trials and collaborations and contribute to manuscript drafting for peer-review.
• Develop and deploy machine learning models.
• Support and assist colleagues and external collaborators in data preparation and analysis.
• Understanding, maintaining, and improving various databases and schema.
• Contribute to the research and development of applying latest developments of AI technologies to the Decipher data.

Qualifications:

• Proficient at conducting data analysis and processing with R and SQL.
• Working knowledge of at least one of the following programming languages: Apex/JAVA, JavaScript, GO.
• Familiar with a Linux environment and shell scripting. Experience working with source control tools (Git) in a collaborative programming environment.
• M.Sc. degree or higher from a quantitative field with strong programming experience (data science, statistics, computer science, bioinformatics, or equivalent).
• Ability to quickly and efficiently adapt to new concepts and collaborate with cross-function teams and business units.
• Curiosity and eager to learn.
• Strong interpersonal and communication skills (both written and verbal); ability to communicate with people in a wide variety of areas and at various levels from technical specialists to executives
• 1 year experience in data science and quantitative data analysis.
• Experience with Google Cloud Platform, Salesforce, or AWS is a plus.
• Experience in electronic health records data (insurance claims, FHIR, HL7) is a plus.
• Knowledge in cancer biology, bioinformatics, and genomics. Work/research experience with public genomic data platforms (GEO, CBioPortal, MSigDB, etc or equivalent) is a plus.
• Experience in performing complex data analysis on large volumes of data and present findings to collaborators.
• Experience in drafting and publishing scientific research papers and addressing comments and feedbacks from collaborators and reviewers.

Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.