Data Scientist III - Temporary in South San Francisco, California at Veracyte

We are seeking a talented and experienced data scientist III (contractor) to join our Data Analysis Team (DAT), as part of the R&D group for Veracyte Inc. This position offers a unique opportunity to work with experienced professionals to carry out AI/ML modelling and analysis of the worlds largest database of cancer patients, encompassing multi-platform digital pathology, genomic and clinical outcome data.

The primary objective of this role is to analyze millions of records of real-world insurance claims and EHR data to define clinical treatments and outcomes. The successful candidate needs to be proficient in state-of-art data extraction, transformation and loading (ETL), and statistical analysis to convert data into meaningful insights and stories. The candidate will also need to communicate and understand business needs, identify relevant data, process and analyze data accordingly. Experience of academic writing and prepare data/figures for manuscript are necessary for success in this position. The candidate should also be able to design graphics to explain AI models with known clinical or genomic features. Strong track record of publishing in both clinical and technical peer-review journals or conferences is highly desired. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills.

KEY RESPONSIBILITIES:

• Analyze real-world data to identify patterns for various clinical and business cases, including treatment patterns and management costs.
• Participate in Identifying key clinical events, such as cancer progression and treatments, using CPT, NDC, ICD codes, and structured database free text.
• Conduct statistical analysis and survival modeling for clinical events defined from real-world data.
• Ability to visualize findings from the data and summarize them in a coherent story.
• Support data scientists in developing digital pathology AI models
• Partner closely with bioinformaticians, statisticians, and medical experts in manuscripts.

REQUIRED EXPERIENCE:

• PhD in Statistics, Data Science, or equivalent field. Or Master of 4+ years of relevant post-graduate experience
• Experience in working with real-world data of insurance claims and EHR records
• Expert in SQL and R or equivalent
• Strong skills with data clean-up, manipulation and visualization using tidyverse, ggplot in R or equivalent.
• Proficient in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects).
• Experience working in cloud computing environments (AWS preferred).
• Demonstrated proficiency and attention to detail in summarizing and communicating findings from data.
• Ability to work effectively in a fast-paced and collaborative environment.
• Eagerness to learn new technologies and adapt to evolving requirements.

RELEVANT EXPERIENCE (preferred but not required):

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) is desirable.
• Knowledge of basic bioinformatics, genomics, and cancer biology
• Past research experience in urological oncology, bioinformatics, digital pathology, or relevant fields
• Research experience with developing AI models such as LLM, vision/time series foundation models.

LOCATION:

• This is a remote friendly position.

#LI-Remote